[00:00] (0.24s)
Did you guys see this uh White House
[00:02] (2.24s)
video? Oh, is there a White House video?
[00:05] (5.04s)
I honestly think that was the funniest
[00:07] (7.52s)
post by a White House ever was the
[00:10] (10.72s)
Daddy's Home video.
[00:15] (15.44s)
I feel like popping bottles to this.
[00:17] (17.12s)
Come on now. Up in the club. Oh, in the
[00:20] (20.80s)
VIP popping bottle with the rainman.
[00:24] (24.48s)
Let's buy two bottles of that all in
[00:27] (27.52s)
tequila. If we get a double.
[00:31] (31.44s)
That is the best. The backstory to that
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is that Mark Ruto, who's the secretary
[00:34] (34.88s)
general of NATO, called Trump daddy at
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the Yeah, he called him daddy.
[00:40] (40.08s)
Guy got weird. Ragg, you missed it. We
[00:42] (42.48s)
were just up in the club. You want to go
[00:44] (44.08s)
back to the club for a second? I do. I
[00:45] (45.92s)
love the club. You ready? I love the
[00:47] (47.60s)
club. Popping some bottles with the NATO
[00:49] (49.52s)
summit. We're doing it again. Come on,
[00:51] (51.84s)
Freeberg.
[00:53] (53.76s)
Let me see you stand up, Freeberg.
[00:57] (57.52s)
your Sultan of science. What club are we
[01:00] (60.88s)
going to this weekend? Oh, daddy's home.
[01:03] (63.84s)
We are going to bring the club to us. I
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think it's called Club NATO. Sash, can
[01:07] (67.68s)
you get the hot pass? You want to come
[01:08] (68.72s)
to Vegas this weekend? Uh, maybe we'll
[01:10] (70.72s)
talk about it all.
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JL, come out. Where are you? Pop on a
[01:16] (76.88s)
Southwest flight. Meet us in Vegas.
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Let your winners ride.
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Rainman David
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and we open sourced it to the fans and
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they've just gone crazy with it. Love
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All right everybody, welcome back to the
[01:40] (100.56s)
number one podcast in the world. The
[01:43] (103.68s)
AllIn podcast, your favorite podcast.
[01:45] (105.68s)
We're back. We got the original quartet
[01:47] (107.92s)
here and everybody's really excited
[01:49] (109.92s)
because we had a fun time on Saturday
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night. What a party we had at Delilah.
[01:57] (117.04s)
All four besties there. Step and repeat.
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Freeberg, you lost a bunch of money
[02:03] (123.20s)
playing bomb pots with me and Rob
[02:04] (124.96s)
Goldberg. You drank a lot. You looked
[02:07] (127.92s)
great. Your impressions of this evening.
[02:13] (133.12s)
Oh, I loved it. It was great. I think
[02:14] (134.72s)
the tequila turned out fantastic. This
[02:16] (136.88s)
tequila has been I mean you guys realize
[02:19] (139.92s)
when we first started talking about this
[02:21] (141.28s)
this was like two and a half almost
[02:23] (143.68s)
three years ago when we first started
[02:25] (145.84s)
talking about this and it is finally
[02:28] (148.00s)
here. It took forever to get through
[02:30] (150.56s)
this uh this kind of design development
[02:33] (153.76s)
process but man I think it turned out
[02:35] (155.12s)
great. I thought it was awesome.
[02:36] (156.32s)
Everybody at the Everybody at the party
[02:38] (158.32s)
was surprised by how good it was cuz
[02:40] (160.32s)
they thought that I don't know, we were
[02:42] (162.24s)
just doing this as a gimmick or
[02:43] (163.44s)
something, but we actually put in the
[02:45] (165.28s)
time to make it great. A lot of time. A
[02:47] (167.60s)
lot of time. So, talk a little bit about
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the sourcing cuz I think that that
[02:52] (172.24s)
sourcing was very important. Well, we
[02:54] (174.96s)
went down to Tequila, Mexico. There's
[02:57] (177.20s)
only one part of Mexico that's even
[02:58] (178.64s)
allowed to be called uh tequila. And we
[03:02] (182.08s)
found a distillery that had been aging
[03:06] (186.40s)
some agave in American oak whiskey
[03:08] (188.96s)
barrels for 5 years. And normally
[03:12] (192.00s)
extrajo is aged for 3 years. So it was
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pretty rare to find a cache of 5year
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aged. And so we basically bought it all.
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But there's only enough for 7500
[03:21] (201.92s)
bottles. So that's what we did. But you
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know, this is not about creating some
[03:26] (206.56s)
large new tequila label. This is more
[03:29] (209.68s)
about creating something that we
[03:31] (211.20s)
ourselves like and that's what we did.
[03:33] (213.20s)
Sort of a small batch product. I mean,
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the money is not going to change
[03:36] (216.72s)
anyone's life, you know, except maybe
[03:38] (218.40s)
yours. Yeah. But I don't know. Uber hit
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another record today. So, with Uber past
[03:44] (224.64s)
88, you guys are all I don't need to be
[03:47] (227.20s)
here anymore. Oh my god. But look, we do
[03:49] (229.60s)
things because they're fun. And it was
[03:50] (230.96s)
fun to create this. Here, I've got the
[03:52] (232.96s)
It is fun. It was really fun. Well, look
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at this thing. I mean, beautiful box.
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slides open. It's back lit in the box.
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So cool. So that out of the box
[04:02] (242.56s)
experience is just amazing. Yeah, it's a
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great unboxing. Steve Jobs would be
[04:06] (246.40s)
proud. Tell us about the bottle design.
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That was a lot of work, Sachs. I think
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this probably took an extra 6 months to
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get this right if I'm if I'm recalling
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correctly on the schedule. This is super
[04:17] (257.68s)
complicated to execute. Well, the bottle
[04:19] (259.76s)
is designed after a stack of poker
[04:21] (261.44s)
chips. And so you can see the chips are
[04:24] (264.08s)
stacked and they're a jar. So, it's like
[04:25] (265.76s)
highly it's a lot of texture here. It's
[04:28] (268.32s)
made with glass and then there's these
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black chip accents that are actually
[04:32] (272.80s)
painted onto the bottle perfectly. So,
[04:35] (275.92s)
this took a lot to get right. We went
[04:38] (278.08s)
through a lot of prototypes to get this
[04:39] (279.68s)
and it just looks amazing.
[04:42] (282.32s)
All right, there you have it, folks. The
[04:43] (283.68s)
All-In Tequila as promised. It's finally
[04:46] (286.32s)
available on our website. So, if you go
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to tequila.allin.com,
[04:51] (291.44s)
you can now buy it. There's only 7,500
[04:53] (293.92s)
bottles. I think we're only going to
[04:55] (295.36s)
sell 6,000 because we're going to keep
[04:57] (297.76s)
the rest for our own personal stuff. We
[04:59] (299.12s)
sold a good chunk already. Like I think
[05:00] (300.80s)
we're So they're going really fast. We
[05:02] (302.48s)
just opened up the website. Previously,
[05:04] (304.24s)
they were only available to people who
[05:06] (306.32s)
had attended the All-in Summit. They
[05:07] (307.76s)
could pre-order it and reserve, but now
[05:09] (309.84s)
the website is open. Oh, wow. Beautiful.
[05:12] (312.00s)
There it is. Okay, there you go. Order
[05:14] (314.72s)
your bottle, limit to two, and uh go
[05:17] (317.76s)
ahead. This is, you know, this is not a
[05:19] (319.60s)
a cheap product, but you know, if you
[05:21] (321.28s)
look at the the pure competitor for this
[05:24] (324.08s)
product is the Clausul Ultra, which I
[05:27] (327.12s)
think sells at $1,700 a bottle, although
[05:30] (330.08s)
sometimes I've seen it sell for as much
[05:31] (331.36s)
as 3,000 a bottle. So, we're priced
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competitively with that. There you go.
[05:34] (334.96s)
And each of the those boxes, and when
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you open it up, the lights up and you
[05:39] (339.36s)
can recharge it. So, it's a keepsake,
[05:40] (340.88s)
right? There's a charging port in the
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box so that it never runs out of a
[05:45] (345.52s)
battery to power the So genius. So
[05:47] (347.36s)
genius. I love that little touch. All
[05:48] (348.96s)
right, folks. There's tons in the new
[05:51] (351.44s)
look at this room service coming. I
[05:54] (354.32s)
mean, before we get to World War II,
[05:57] (357.76s)
let's get some room service at the Peep
[06:00] (360.72s)
that out. Do you want a side of caviar
[06:02] (362.72s)
with your uh besties all in tequila?
[06:06] (366.08s)
Listen, being an elitist, guys, is very
[06:08] (368.24s)
hard. That's what I was tweeting how
[06:09] (369.60s)
stressful it is. Somebody was saying
[06:11] (371.84s)
that we weren't living up to our job as
[06:13] (373.76s)
being the elite. Oh. And I was like,
[06:16] (376.08s)
man, this is it's really stressful being
[06:17] (377.84s)
an elite. You know, we need we need a
[06:19] (379.76s)
drink. Absolutely. I'll take a double.
[06:21] (381.92s)
You have no idea. So, did you get did
[06:23] (383.60s)
you go with the on your eggs Bernese
[06:25] (385.76s)
there? Did you go with the truffles or
[06:27] (387.28s)
the caviar? What did you do? Well, I I
[06:29] (389.68s)
honestly I um I went quite healthy. I
[06:33] (393.04s)
have some avocado. Okay. Very nice. I
[06:36] (396.16s)
have mango. Mhm. And I have some eggs.
[06:40] (400.64s)
Where are my eggs? Up to $72. Okay,
[06:42] (402.88s)
David, do you want to see my pillows
[06:44] (404.40s)
with my initials on them? Yeah. Oh,
[06:46] (406.32s)
lord. Here we go. This is the best thing
[06:48] (408.64s)
that the does. Shout out to our friends
[06:50] (410.88s)
at Politico.
[06:52] (412.80s)
How out of touch we are. Look, Sax, they
[06:55] (415.20s)
always put my initials. Oh, they do that
[06:56] (416.96s)
for you? They do that for me. Isn't that
[06:59] (419.12s)
incredible? Okay, here we go. All right,
[07:01] (421.92s)
there's lots to discuss in the news.
[07:04] (424.32s)
We'll shift from conspicuous consumption
[07:07] (427.52s)
and talk about the 12-day war between
[07:09] (429.92s)
Israel and Iran. It's two weeks later,
[07:12] (432.48s)
obviously a quick recap here and then
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we'll get the besties take on where
[07:16] (436.56s)
we're at today, June 26 when we tape
[07:19] (439.68s)
this. Friday, June 13th, Israel launched
[07:22] (442.08s)
a surprise attack, took out a bunch of
[07:24] (444.16s)
uh Iranian military officials, some
[07:27] (447.36s)
folks who work on the nuclear program
[07:29] (449.44s)
and they traded missiles for about a
[07:31] (451.28s)
week before
[07:33] (453.20s)
everybody debating if this was going to
[07:34] (454.64s)
be World War II. And on Saturday, June
[07:36] (456.64s)
21st, quite shockingly, the US jumped in
[07:39] (459.12s)
and carried out Operation Midnight
[07:41] (461.44s)
Hammer. I've had a couple weekends in
[07:43] (463.28s)
Vegas that have been called Midnight
[07:44] (464.56s)
Hammer. Oh, yes. Midnight Hammer, also
[07:48] (468.00s)
known as Wow. There we go, folks. Um,
[07:51] (471.52s)
over a dozen bunker buster bombs on two,
[07:54] (474.80s)
maybe three of Iran's key nuclear
[07:57] (477.20s)
facilities, Fordo and Natans. These
[07:59] (479.28s)
bombs weigh 15 tons each. They'll go
[08:01] (481.12s)
deep underground. Israel doesn't have
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them. And that's the reason we're given
[08:05] (485.68s)
of why we were pulled into this is
[08:07] (487.12s)
because we're the only people in the
[08:08] (488.24s)
world who could have taken these out. On
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Thursday morning, chairman of the Joint
[08:13] (493.60s)
Chiefs of Staff, Dan Kaine, showed a
[08:16] (496.16s)
video. If you haven't seen it, folks,
[08:17] (497.84s)
this came out this morning. Here's the
[08:19] (499.68s)
video. It's a video of a of of what they
[08:22] (502.00s)
call a massive ordinance penetrator.
[08:24] (504.00s)
Yeah. It basically goes through the
[08:26] (506.40s)
ground. I think in this case, it's going
[08:28] (508.00s)
through a ventilation shaft and it
[08:30] (510.32s)
doesn't immediately go off. It basically
[08:32] (512.08s)
burrows to its maximum depth and then
[08:34] (514.56s)
goes off. This looks like a test to me.
[08:36] (516.56s)
This is just demonstrating it. This is a
[08:38] (518.00s)
demonstrating how it works. Yeah.
[08:40] (520.48s)
And so, uh, here's the before and after
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photos you've probably seen. Kind of
[08:43] (523.76s)
hard to understand what's going on here,
[08:45] (525.04s)
except for the discolorization.
[08:46] (526.48s)
Obviously, we're going for things
[08:47] (527.84s)
underground.
[08:49] (529.60s)
And then, shockingly, Iran did a um a I
[08:54] (534.56s)
don't know what you'd call this, a
[08:55] (535.52s)
ceremonial response sacks, where they
[08:57] (537.84s)
send some missiles to one of our bases
[08:59] (539.52s)
in Qar. They gave us a ton of notice.
[09:01] (541.60s)
None of them landed. And then uh both
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countries have been bombing each other a
[09:07] (547.36s)
little bit after Trump said he
[09:08] (548.64s)
negotiated a ceasefire which made our
[09:11] (551.68s)
president a little bit upset. Here's the
[09:14] (554.80s)
clip of the president not dropping a
[09:17] (557.76s)
MOAB but dropping an F-bomb. Israel. As
[09:20] (560.48s)
soon as we made the deal, they came out
[09:22] (562.16s)
and they dropped a load of bombs the
[09:23] (563.92s)
likes of which I've never seen before.
[09:26] (566.00s)
The biggest load that we've seen. I'm
[09:28] (568.08s)
not happy with Israel. You know, when
[09:30] (570.00s)
when I say, "Okay, now you have 12
[09:31] (571.84s)
hours. You don't go out in the first
[09:34] (574.08s)
hour and just drop everything you have
[09:35] (575.84s)
on them. So, I'm not happy with them.
[09:37] (577.76s)
I'm not happy with Iran either. We
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basically have two countries that have
[09:42] (582.24s)
been fighting so long and so hard that
[09:44] (584.72s)
they don't know what the they're doing.
[09:46] (586.80s)
Do you understand that? You had
[09:50] (590.16s)
Trump is not happy he did the lean in.
[09:52] (592.32s)
Did you notice the lean in there, Saxs,
[09:53] (593.68s)
when he dropped the fbomb? Well, in in
[09:55] (595.92s)
fairness, President Trump's not the
[09:58] (598.32s)
first president to drop an F-bomb in
[10:00] (600.64s)
frustration with Netanyahu.
[10:03] (603.68s)
It was reported back in the '9s that
[10:06] (606.64s)
Bill Clinton, when he had to deal with
[10:09] (609.04s)
Netanyahu as being very obsinate and was
[10:12] (612.16s)
basically rejecting all of Clinton's
[10:15] (615.12s)
entreaties and plans, Clinton is
[10:17] (617.12s)
reported to have said, "Who's the
[10:18] (618.24s)
[ __ ] superpower here?" you know, in
[10:20] (620.08s)
frustration. So this is not the first
[10:22] (622.80s)
time that an American president has
[10:24] (624.64s)
gotten frustrated with Netanyahu. But I
[10:27] (627.12s)
think people reacted quite well to that
[10:29] (629.20s)
on the whole because it showed that
[10:30] (630.64s)
President Trump was willing to well
[10:33] (633.12s)
first first of all he negotiated this
[10:34] (634.96s)
ceasefire which was amazing. Then what
[10:37] (637.84s)
happens is that you know there was this
[10:39] (639.36s)
deadline and it was like in a in a fight
[10:42] (642.40s)
where they ring the bell and the
[10:43] (643.60s)
fighters keep slugging with each other.
[10:45] (645.36s)
Yeah. It's like they both want to get a
[10:47] (647.12s)
few extra hits in. Mhm. And uh that's
[10:50] (650.08s)
licks that's yeah that they got some
[10:51] (651.60s)
last licks in but President Trump
[10:53] (653.52s)
negotiated the ceasefire which was
[10:54] (654.96s)
extraordinary and then he's willing to
[10:56] (656.72s)
reprimand Israel for basically violating
[10:58] (658.48s)
the ceasefire too which you have to do
[11:00] (660.48s)
if you want to enforce it. So I think
[11:02] (662.16s)
that's basically what happened there.
[11:03] (663.76s)
Now you sax I'm sure the audience wants
[11:07] (667.36s)
to challenge you on this. You were hey
[11:09] (669.36s)
Trump is a never get involved in forever
[11:11] (671.84s)
wars. Obviously it looks like this might
[11:13] (673.52s)
not be a forever war which would be
[11:14] (674.88s)
fantastic if that turns out to be the
[11:16] (676.72s)
case. and um you were saying, "Hey, the
[11:20] (680.08s)
reason to vote for Trump is he won't get
[11:21] (681.68s)
us into another war and here we go." Uh
[11:24] (684.24s)
and obviously Tucker, Tulsi, there's a
[11:26] (686.88s)
number of people who are did not want to
[11:29] (689.76s)
do this and you were one of them. So,
[11:32] (692.24s)
how do you reconcile all of this as
[11:34] (694.40s)
somebody who did not want to see us do
[11:36] (696.32s)
this? President Trump accomplished that.
[11:38] (698.32s)
We're not in a forever war. We're not in
[11:39] (699.84s)
a war with Iran. You look at Mark Levin
[11:42] (702.48s)
today, he's apoplelectic because he and
[11:44] (704.72s)
people like him were advocating for a
[11:46] (706.16s)
regime change war and they felt like
[11:48] (708.88s)
this was the perfect opportunity to drag
[11:50] (710.32s)
the United States into such a war and
[11:52] (712.24s)
President Trump resisted that and
[11:53] (713.84s)
instead negotiated a ceasefire. So it
[11:56] (716.08s)
seems to me that he lived up to exactly
[11:58] (718.24s)
his promises on this. Look, I think
[12:00] (720.40s)
President Trump had to thread a very
[12:03] (723.12s)
difficult needle here. If you look at
[12:05] (725.04s)
polling, the vast majorities of the
[12:07] (727.12s)
American population believe in two
[12:09] (729.44s)
things. Number one, they don't want Iran
[12:11] (731.52s)
getting a nuclear weapon by like 80
[12:13] (733.28s)
something%. They also by 80 something%
[12:16] (736.64s)
don't want to get dragged into a new
[12:18] (738.00s)
forever war in the Middle East, right?
[12:19] (739.68s)
They don't want to be in a long
[12:21] (741.28s)
protracted war with Iran. President
[12:23] (743.76s)
Trump managed to accomplish both those
[12:25] (745.52s)
objectives. He took out the Iranian
[12:28] (748.32s)
nuclear sites in these highly precise
[12:30] (750.64s)
targeted strikes, but he did not get
[12:32] (752.80s)
dragged into a new Middle Eastern war.
[12:35] (755.44s)
In fact, he negotiated a ceasefire and
[12:38] (758.00s)
at least an end to the war right now
[12:39] (759.92s)
between Israel and Iran. I think there's
[12:42] (762.40s)
very few leaders who could have threaded
[12:43] (763.92s)
this needle. Imagine if Kla Harris were
[12:45] (765.84s)
president. Just do the counterfactual.
[12:47] (767.36s)
Would she have had the situational
[12:48] (768.72s)
awareness to realize that when the
[12:50] (770.72s)
Iranians struck at our base in Qatar
[12:54] (774.08s)
that it was performative, that it was
[12:55] (775.60s)
telegraphed and that it was meant to
[12:57] (777.92s)
basically be for domestic consumption
[12:59] (779.68s)
and end the war? She might have
[13:02] (782.40s)
escalated it. Certainly, you know, a lot
[13:04] (784.56s)
of the neocons who were on social media
[13:06] (786.16s)
were saying, "This is our chance,
[13:07] (787.68s)
right?" When when the Iranians engaged
[13:09] (789.92s)
in that performative hit on on Qatar,
[13:12] (792.88s)
they were saying, "We got to escalate.
[13:14] (794.40s)
We got to basically bomb all of Iran now
[13:16] (796.72s)
and get into a big war." And Trump, he
[13:18] (798.48s)
had the overall awareness of the
[13:20] (800.00s)
situation to avoid that. And this goes
[13:22] (802.40s)
back to his experience with Solommani
[13:24] (804.24s)
back in the first Trump administration.
[13:25] (805.92s)
The Iranians did the same thing where
[13:27] (807.76s)
they fired some missiles at American
[13:29] (809.44s)
bases, but they were telegraphed. We
[13:31] (811.52s)
were told in advance they were coming.
[13:33] (813.04s)
They were easy to avoid. No Americans
[13:35] (815.04s)
got harmed. And then Trump ended the
[13:37] (817.20s)
conflict there. And I think that a lot
[13:40] (820.32s)
of presidents might have gotten sucked
[13:41] (821.60s)
in to a new Middle Eastern war. Chimath,
[13:44] (824.48s)
let me pull you in here. Uh, obviously
[13:47] (827.44s)
little cognitive dissonance. Folks
[13:49] (829.76s)
didn't want to go to war, but we don't
[13:51] (831.52s)
want WMDs in the hands of Iran. How do
[13:55] (835.44s)
you reconcile all of this? Does the
[13:57] (837.04s)
outcome make it okay uh in your mind or
[13:59] (839.52s)
would you rather have seen we not get
[14:00] (840.88s)
involved in this? Can I uplevel this
[14:02] (842.96s)
slightly? I think that this has been
[14:05] (845.20s)
probably the most important
[14:09] (849.84s)
week and I would almost say most
[14:12] (852.72s)
important few months in US politics in
[14:16] (856.80s)
30 or 40 years. And the reason is that
[14:19] (859.52s)
it starts to converge
[14:21] (861.84s)
a bunch of things together that I think
[14:24] (864.00s)
are really worth putting on the table.
[14:25] (865.84s)
So from my perspective, I think what
[14:28] (868.08s)
President Trump has done is almost
[14:30] (870.64s)
single-handedly bring back the United
[14:34] (874.08s)
States as the global superpower. And I
[14:37] (877.84s)
would put that in all caps. So what does
[14:40] (880.40s)
it mean to be a superpower? I've said
[14:42] (882.08s)
this several times, but just to be
[14:44] (884.40s)
slightly redundant. In order to be a
[14:46] (886.72s)
superpower, I think you need to have
[14:48] (888.72s)
three things, but they work in a
[14:50] (890.08s)
hierarchy. The first is that you need to
[14:52] (892.48s)
have technical supremacy. And then from
[14:55] (895.20s)
that technological supremacy, you need
[14:57] (897.76s)
to establish and project economic
[15:00] (900.72s)
supremacy and military supremacy. So if
[15:04] (904.40s)
you look at the first one, you saw a
[15:06] (906.32s)
tactical demonstration of technological
[15:08] (908.16s)
supremacy with the B2 bombers. But
[15:10] (910.32s)
taking a more general step back, if you
[15:12] (912.72s)
look at the largest companies in the
[15:14] (914.24s)
world, who are the ones that are
[15:16] (916.08s)
actually driving the world forward,
[15:18] (918.56s)
these are all American companies. I
[15:20] (920.48s)
think these last few months you've seen
[15:23] (923.20s)
America firing on all cylinders
[15:25] (925.20s)
technologically
[15:27] (927.28s)
economically. At the same time, you now
[15:29] (929.60s)
have the stock market back at all-time
[15:31] (931.28s)
highs. You have interest rates
[15:33] (933.44s)
incredibly starting to compress even in
[15:36] (936.00s)
the absence of the Federal Reserve
[15:38] (938.00s)
willing to act on data. So, you're
[15:40] (940.48s)
projecting economic supremacy. And then
[15:43] (943.12s)
these last few weeks, frankly, have been
[15:45] (945.68s)
a pretty clear-cut case of military
[15:47] (947.52s)
supremacy. And so I think what's pretty
[15:49] (949.52s)
simple now is like the US is essentially
[15:52] (952.48s)
telling the world our words carry weight
[15:55] (955.84s)
again. We're going to shape the global
[15:57] (957.60s)
order. Countries will now have to
[15:59] (959.68s)
calibrate their actions around what the
[16:02] (962.56s)
US is willing to tolerate and what it
[16:04] (964.88s)
isn't willing to tolerate. And in the
[16:06] (966.96s)
case of Iran, the president made those
[16:09] (969.28s)
lines, I think, really crystal clear. He
[16:11] (971.92s)
warned them a 100 times where the line
[16:14] (974.32s)
was. And he was clear, you cannot build
[16:17] (977.36s)
nuclear weapons. And when the line was
[16:19] (979.04s)
crossed, and look, I think the the CNN's
[16:22] (982.64s)
of the world want to debate that the
[16:24] (984.48s)
line wasn't crossed. All I can tell you
[16:26] (986.08s)
is I don't know because I don't have
[16:27] (987.52s)
access to the intel. I believe what he
[16:30] (990.40s)
and Tulsi Gabbard and JD Vance and Marco
[16:32] (992.88s)
Rubio and Pete Hexith are saying is that
[16:35] (995.44s)
they crossed the line and then he showed
[16:38] (998.24s)
that he will use decisive military force
[16:41] (1001.20s)
when that happens. But then here's
[16:42] (1002.96s)
what's crazy, and this is where I think
[16:44] (1004.40s)
you become a real superpower. It's what
[16:46] (1006.64s)
happens after once you cross the line,
[16:50] (1010.16s)
you notice that he doesn't try to
[16:51] (1011.92s)
humiliate or dominate Iran. He tells
[16:54] (1014.56s)
Iran that he wants them to stabilize
[16:56] (1016.80s)
themselves. He told them that he wants
[16:58] (1018.96s)
to see them trading oil with China. He
[17:01] (1021.52s)
wants to see them improving the lives of
[17:03] (1023.76s)
their people because he realizes that a
[17:06] (1026.32s)
stable Iran is a stable Middle East. So,
[17:09] (1029.36s)
I think it's really amazing. And then
[17:11] (1031.20s)
the the fact that he was able to bring
[17:12] (1032.96s)
Israel and Iran, who's been on the verge
[17:15] (1035.52s)
of some kind of conflict for decades,
[17:17] (1037.60s)
and broker a ceasefire, it's a really
[17:20] (1040.96s)
important moment, I think, in American
[17:22] (1042.48s)
history. I really do think that if you
[17:24] (1044.56s)
look at my little framework, it is the
[17:27] (1047.28s)
closest thing for us to being able to
[17:29] (1049.36s)
say that we are truly a clearcut
[17:32] (1052.32s)
singular hegeimon global superpower
[17:34] (1054.96s)
again. And that's really exciting.
[17:37] (1057.28s)
Well, he did he definitely did provide
[17:38] (1058.88s)
that golden bridge for Iran to to cross
[17:41] (1061.52s)
over to and maybe move into another
[17:43] (1063.44s)
phase. But Freeberg, maybe you could
[17:44] (1064.88s)
steal me the other side of this just for
[17:46] (1066.72s)
the discussion here. This could have
[17:48] (1068.72s)
gone another direction. We could be
[17:50] (1070.88s)
sitting here and there could be
[17:51] (1071.76s)
terrorist attacks or sleeper cells, you
[17:53] (1073.92s)
know, in the United States. It could
[17:55] (1075.76s)
turn out when we do the postmortem here
[17:57] (1077.52s)
that they weren't close to having a
[17:59] (1079.36s)
nuclear bomb and we did this and we got
[18:01] (1081.60s)
goated into it. So maybe obviously
[18:03] (1083.92s)
things have gone well to date, but
[18:05] (1085.52s)
things might not have. So maybe you
[18:06] (1086.64s)
could steal man the other side of this.
[18:08] (1088.56s)
What's the argument for not having done
[18:10] (1090.32s)
this? And uh what if things had gone
[18:13] (1093.04s)
another way? How bad could this be?
[18:16] (1096.56s)
Um I don't know if this is over and so
[18:20] (1100.08s)
well that's my point. Yeah. I mean,
[18:21] (1101.36s)
we're kind of in the middle of a
[18:24] (1104.24s)
choose your own adventure book here, and
[18:27] (1107.36s)
I've got to imagine
[18:30] (1110.00s)
that the Israelis and Netanyahu, who's
[18:32] (1112.96s)
been pretty vocal about this regime
[18:36] (1116.96s)
that's been shouting for decades now,
[18:39] (1119.68s)
death to Israel, death to the USA,
[18:42] (1122.88s)
needs to change, is going to suddenly
[18:44] (1124.64s)
say, hey, let's take a beat and walk
[18:47] (1127.84s)
away from this, and we'll all kind of
[18:49] (1129.20s)
have peace in the Middle At least I
[18:51] (1131.28s)
think we've got to expect that there is
[18:52] (1132.88s)
another page to turn that's coming. And
[18:55] (1135.04s)
I don't know if you guys heard I don't
[18:56] (1136.80s)
know if it's genuine or if it's
[18:58] (1138.08s)
authentic or not. Did you hear that
[18:59] (1139.52s)
audio of one of the kind of Mossad or
[19:02] (1142.72s)
IDF people calling an IRGC commander and
[19:05] (1145.84s)
telling him that he has 24 hours to
[19:07] (1147.84s)
leave Iran with his wife and child? Did
[19:10] (1150.16s)
you guys hear that? Yeah. I have not. I
[19:12] (1152.16s)
saw it. Yeah. I mean, I heard it. It's
[19:14] (1154.72s)
pretty incredible. And
[19:17] (1157.84s)
I've got to imagine that there's going
[19:19] (1159.68s)
to continue to be effort to destabilize
[19:22] (1162.24s)
whatever regime remains in Iran by
[19:25] (1165.44s)
Israel, Mossad, and this isn't going to
[19:28] (1168.00s)
be kind of a a quiet peaceful
[19:30] (1170.48s)
transition. There's going to continue to
[19:32] (1172.56s)
be more conflict. Whether these guys are
[19:34] (1174.08s)
going to be trading missiles back and
[19:35] (1175.36s)
forth tomorrow, I think, you know, we
[19:37] (1177.76s)
don't really know. But this isn't over.
[19:40] (1180.80s)
And I do think that the next set of
[19:42] (1182.80s)
actions is going to be critical. But
[19:44] (1184.56s)
what I was pretty surprised by, I did
[19:46] (1186.56s)
not like everyone was saying, "Hey,
[19:48] (1188.24s)
we're on the brink of World War II." I
[19:49] (1189.92s)
mean, there was some serious
[19:51] (1191.68s)
statesmanship that must have gone on to
[19:55] (1195.04s)
keep China. And I have no idea. I've had
[19:56] (1196.88s)
no insight or conversations with anyone
[19:58] (1198.80s)
to give me any sort of proprietary
[20:01] (1201.20s)
access to knowledge about what's going
[20:02] (1202.56s)
on here. But I've got to imagine there
[20:04] (1204.08s)
were calls to China and Russia that kept
[20:06] (1206.96s)
them in the loop and kept them in play
[20:08] (1208.88s)
on how this all played out. because
[20:11] (1211.20s)
China and Russia, the whole fear was
[20:12] (1212.96s)
this was going to create this magnet in
[20:14] (1214.24s)
the Middle East that everything was
[20:15] (1215.28s)
going to rush in and we're going to
[20:16] (1216.24s)
catalyze World War II and it didn't
[20:18] (1218.00s)
happen. So, I do think that, you know,
[20:20] (1220.88s)
first of all,
[20:22] (1222.80s)
nothing that folks predicted actually
[20:24] (1224.48s)
happened and no one predicted what did
[20:26] (1226.80s)
happen. So, I I'm not going to sit here
[20:29] (1229.12s)
and try and I'm not going to sit here
[20:31] (1231.60s)
and try and predict what happened next.
[20:32] (1232.80s)
And I will say if I'm thinking about
[20:34] (1234.24s)
like, you know, game theory optimal
[20:36] (1236.24s)
poker play, I got to give credit to this
[20:38] (1238.80s)
president because it was completely
[20:41] (1241.28s)
unpredictable what was coming next. And
[20:43] (1243.44s)
I don't think that there was a really
[20:44] (1244.80s)
clear path on what he was going to do.
[20:46] (1246.96s)
Just like was what has happened
[20:48] (1248.64s)
repeatedly. Everyone always slams a
[20:50] (1250.48s)
table and says he's starting World War
[20:51] (1251.76s)
II. He's driving economic collapse.
[20:53] (1253.92s)
Everything's about to end. And then it
[20:55] (1255.76s)
turns out he kind of ducks and weaves
[20:58] (1258.24s)
and finds his way through. And
[21:00] (1260.16s)
everyone's like, "Holy [ __ ] I didn't
[21:01] (1261.52s)
expect that to happen." And that was
[21:03] (1263.04s)
it's very unpredictable what's going to
[21:04] (1264.32s)
happen next. So I am not going to sit
[21:05] (1265.76s)
here and try and estimate what's going
[21:06] (1266.96s)
to happen next. I can tell you I don't
[21:08] (1268.56s)
think the Israelis are going to sit by
[21:09] (1269.92s)
quietly and allow this Iranian regime to
[21:12] (1272.72s)
continue to go out and build up a
[21:14] (1274.64s)
military that's constantly shouting
[21:16] (1276.16s)
death to Israel, death to the USA. And I
[21:18] (1278.80s)
think that they've taken their first
[21:20] (1280.00s)
shot and I don't think it's their last.
[21:21] (1281.36s)
So we'll see how this all plays out. I
[21:23] (1283.04s)
really don't know. Well, I'm sure I'm
[21:24] (1284.16s)
sure that's right. Let me just tee up
[21:25] (1285.84s)
one person who did get it right. Here's
[21:27] (1287.28s)
John Mirshimer at the All-In Summit just
[21:30] (1290.24s)
nine months ago. Let me play this clip
[21:32] (1292.40s)
here and get your reaction. Saxs, to
[21:35] (1295.04s)
counter the Iranian escalation scenario,
[21:38] (1298.88s)
the fact is Iran does not want a war
[21:41] (1301.52s)
with the United States and the United
[21:43] (1303.68s)
States does not want a war with Iran.
[21:46] (1306.32s)
And it's the Israelis, especially
[21:48] (1308.64s)
Benjamin Netanyahu, who has been trying
[21:50] (1310.96s)
to sort of suck us into a war because he
[21:53] (1313.92s)
wants us, the United States, to really
[21:56] (1316.88s)
whack Iran, weaken it militarily, and
[22:00] (1320.24s)
especially to go after its nuclear
[22:02] (1322.08s)
capabilities because, as you well know,
[22:04] (1324.16s)
they are close to the point where they
[22:06] (1326.16s)
can develop nuclear weapons. So, the
[22:08] (1328.40s)
Israelis are the ones who want us to get
[22:11] (1331.36s)
involved in a big war with Iran. That's
[22:14] (1334.32s)
the escalation flash point. And the
[22:16] (1336.48s)
$64,000 question is whether you think
[22:18] (1338.88s)
the United States and Iran kind of
[22:21] (1341.68s)
colluding can work together to prevent
[22:24] (1344.64s)
the Israelis from getting a that that
[22:27] (1347.20s)
question will be answered based on the
[22:29] (1349.12s)
next who who who leads the next
[22:32] (1352.16s)
administration. Well, if you believe
[22:34] (1354.32s)
that it matters who leads the next
[22:36] (1356.48s)
administration, that's true. And there's
[22:39] (1359.04s)
Saxs, there's you laughing for this
[22:40] (1360.72s)
incredible insight, which is as you were
[22:43] (1363.28s)
saying last year and and Mir Shimemer's
[22:45] (1365.12s)
been saying this was manifest destiny.
[22:47] (1367.28s)
This was going to happen no matter who
[22:49] (1369.04s)
was president and here we are. So your
[22:51] (1371.28s)
thoughts on Mir Shimer sort of I mean
[22:53] (1373.76s)
wow he just nailed it there. And that
[22:55] (1375.20s)
was to your question Freedberg by the
[22:56] (1376.64s)
way. So well done uh to Freedberg. We
[22:58] (1378.40s)
didn't put your question at the
[22:59] (1379.60s)
beginning because he he went on for five
[23:01] (1381.36s)
or 10 minutes there. But go ahead, your
[23:03] (1383.20s)
reaction to Mir Shimemer's incredible
[23:05] (1385.28s)
prediction. That's Professor Mir Shammer
[23:07] (1387.36s)
being prophetic as as usual. But let me
[23:09] (1389.68s)
go back to a point that Freeberg was
[23:11] (1391.12s)
making to Freeberg's point here. This is
[23:13] (1393.60s)
not over. Iran and Israel are mortal
[23:15] (1395.68s)
enemies and we have a ceasefire here. We
[23:17] (1397.68s)
have a pause in the action, but it's
[23:19] (1399.52s)
going to flare up again at some point.
[23:21] (1401.44s)
The question is what US policy is going
[23:23] (1403.28s)
to be. And I think that what President
[23:26] (1406.08s)
Trump did over the past two weeks is
[23:28] (1408.08s)
make it clear that number one, the
[23:30] (1410.08s)
United States does not want to see Iran
[23:32] (1412.24s)
get a nuclear bomb and that we are
[23:34] (1414.48s)
willing to take military action to
[23:35] (1415.76s)
prevent that, but that that action would
[23:38] (1418.88s)
be narrowly targeted as narrowly
[23:40] (1420.96s)
targeted as possible to achieve that
[23:43] (1423.04s)
objective. Number two, that the United
[23:44] (1424.72s)
States does not have an interest in
[23:46] (1426.08s)
going to war to basically achieve a
[23:49] (1429.36s)
regime change. If the people of Iran
[23:51] (1431.92s)
want to make Iran great again by, you
[23:53] (1433.76s)
know, rising up and toppling the
[23:55] (1435.12s)
government, then that's up to them.
[23:56] (1436.64s)
Certainly, I think we would welcome
[23:58] (1438.80s)
that. But the Trump administration
[24:00] (1440.56s)
rejected all of the calls over the past
[24:03] (1443.68s)
week or so for the United States to
[24:05] (1445.60s)
plunge into a regime change war in Iran.
[24:09] (1449.04s)
And that's why the neocons right now are
[24:11] (1451.04s)
not happy at all. So that's point number
[24:13] (1453.44s)
two. Look, I think Trump found the right
[24:15] (1455.60s)
balance here, which is we are going to
[24:17] (1457.68s)
be narrowly focused on preventing a
[24:20] (1460.64s)
threat to the United States, which is
[24:22] (1462.80s)
Iran having a nuclear bomb. But we're
[24:24] (1464.80s)
not going to go plunging into another
[24:26] (1466.32s)
forever war, another regime change
[24:27] (1467.84s)
operation. We've had plenty of
[24:29] (1469.28s)
experience with that in the Middle East.
[24:30] (1470.96s)
None of it worked. Every time we went
[24:32] (1472.64s)
for regime change, it backfired.
[24:34] (1474.40s)
Backfired in Iraq, Afghanistan, Libya,
[24:38] (1478.48s)
and on and on. So, there's no reason to
[24:40] (1480.00s)
believe regime change would work. And by
[24:41] (1481.84s)
the way, there's no way to get regime
[24:43] (1483.68s)
change in a country unless you send in
[24:45] (1485.84s)
American GIS to basically keep that
[24:47] (1487.68s)
government propped up in in power
[24:49] (1489.68s)
because it's almost certainly going to
[24:51] (1491.04s)
be perceived as a puppet of the United
[24:53] (1493.60s)
States. I mean, if you put, you know,
[24:54] (1494.88s)
Raza Palavi or something, the Shaw's son
[24:57] (1497.28s)
in power in Iran, he's going to face an
[24:59] (1499.92s)
insurgency right away, and there's no
[25:02] (1502.40s)
way that his government's going to stay
[25:03] (1503.44s)
in power without the American military
[25:05] (1505.36s)
protecting him and keeping him in power
[25:07] (1507.04s)
at the end of a rifle barrel. So this
[25:09] (1509.20s)
whole idea that you can achieve regime
[25:11] (1511.12s)
change without its evil twin, which is
[25:13] (1513.36s)
nation building, is a total fantasy. You
[25:15] (1515.68s)
can't do it. You would need an American
[25:18] (1518.08s)
occupation going on for decades. And I
[25:20] (1520.48s)
think that the Trump administration
[25:21] (1521.76s)
wisely rejected all of this giddy talk.
[25:24] (1524.80s)
Remember, in the first couple of days of
[25:27] (1527.52s)
that Israeli surprise attack where it
[25:30] (1530.64s)
was Israel who hit Iran and there was
[25:33] (1533.04s)
all this talk about decapitation, that
[25:35] (1535.04s)
the Iranian regime was about to
[25:36] (1536.64s)
collapse. It just needed a little bit of
[25:38] (1538.24s)
a push. Lindsey Graham. Lindsey Gra.
[25:40] (1540.48s)
That's what Lindsey Graham said. That
[25:41] (1541.92s)
was all heady talk that turned out not
[25:44] (1544.72s)
to be true. There's no question that the
[25:46] (1546.48s)
Iranian regime took some damage, but
[25:48] (1548.24s)
they did not collapse. And in fact, if
[25:50] (1550.56s)
you look at history, one of the things
[25:52] (1552.64s)
Mir Shmer's pointed out is that you
[25:55] (1555.28s)
don't get regime change just through air
[25:56] (1556.88s)
power alone. It takes boots on the
[25:58] (1558.40s)
ground. And most Americans are not
[26:01] (1561.04s)
willing to put boots on the ground in
[26:02] (1562.96s)
Iran to change the regime there. We
[26:05] (1565.52s)
believe that is sufficient just to keep
[26:07] (1567.68s)
Iran from having a nuclear weapon. And
[26:09] (1569.12s)
that's what American policy should focus
[26:10] (1570.40s)
on. Yeah, I really fell for this. What
[26:12] (1572.72s)
do you think? Well, I really fell for
[26:15] (1575.28s)
this check raise from Trump who was
[26:18] (1578.00s)
like, "Yeah, no, we're not doing this.
[26:19] (1579.36s)
We're not doing this." And all of a
[26:21] (1581.28s)
sudden, he does it, right? Nobody
[26:22] (1582.48s)
expected him to do it. Everybody thought
[26:24] (1584.08s)
he was going to not intervene. And um I
[26:28] (1588.00s)
as a Gen Xer like you, Saxs and and I
[26:30] (1590.48s)
guess Freeberg and Shimath as well. When
[26:33] (1593.28s)
I saw them building the case here, the
[26:35] (1595.84s)
Lindsey Grahams, you know, the Hawks,
[26:37] (1597.92s)
etc. reports of WMDs that were imminent.
[26:41] (1601.20s)
Who knows if that's true. These people
[26:43] (1603.36s)
support terrorists. They're trying to
[26:45] (1605.52s)
assassinate the president became part of
[26:47] (1607.44s)
this. Uh remember that for last time
[26:49] (1609.12s)
with Bush Senior spreading democracy in
[26:51] (1611.76s)
the Middle East, the regime changed
[26:53] (1613.04s)
stuff. That made me all very nervous.
[26:54] (1614.64s)
And I think the most important next step
[26:56] (1616.56s)
here is that this administration explain
[26:59] (1619.12s)
in detail to the American people so we
[27:02] (1622.00s)
don't have another dem WMD situation.
[27:04] (1624.08s)
Just honestly the truth like did we hit
[27:06] (1626.24s)
them? Did we hit some of them? Was there
[27:08] (1628.72s)
imminent? Was it sort of imminent? We
[27:10] (1630.64s)
just need to have full disclosure here.
[27:12] (1632.00s)
I don't like the attacking the press for
[27:14] (1634.48s)
a leak inside of the administration.
[27:16] (1636.08s)
It's the administration's, you know,
[27:18] (1638.00s)
responsibility to not have leaks. And
[27:19] (1639.68s)
it's the press and the opposing party,
[27:22] (1642.00s)
whoever opposes this action to really
[27:25] (1645.04s)
vet this. And we need that part of the
[27:26] (1646.64s)
democratic process. I hope we don't shut
[27:28] (1648.40s)
that down and we just blindly follow,
[27:30] (1650.80s)
you know, uh, the leader because it went
[27:33] (1653.44s)
well. Because this isn't over, number
[27:35] (1655.28s)
one. Number two, it did go well. Huge
[27:37] (1657.84s)
credit to Trump for that. If it does go
[27:39] (1659.60s)
well and he ends the war in Russia's
[27:42] (1662.56s)
invasion of Ukraine, like, give him the
[27:44] (1664.72s)
peace prize. I'm all for it. Fantastic.
[27:47] (1667.60s)
But let's get the disclosures here and
[27:49] (1669.44s)
let's not blame the press for getting a
[27:51] (1671.28s)
leak. Let's actually look at this and
[27:53] (1673.04s)
explain to the American people what we
[27:55] (1675.04s)
accomplished, what didn't get
[27:56] (1676.16s)
accomplished, and what the realistic
[27:57] (1677.68s)
next step is. And I I give him a lot of
[27:59] (1679.36s)
credit for telling Israel where the line
[28:02] (1682.32s)
is and giving the golden bridge to Iran.
[28:05] (1685.92s)
They will have a revolution on their own
[28:07] (1687.84s)
timeline, but we should not be part of
[28:09] (1689.60s)
that. Right. That's the lesson we
[28:10] (1690.96s)
learned to your point, Saxs. We can't be
[28:14] (1694.08s)
the revolution in Iran. They have to
[28:16] (1696.32s)
come from the bottom up. Absolutely. Let
[28:17] (1697.68s)
me Let me also disagree with one other
[28:19] (1699.12s)
thing you said, which is you you said
[28:20] (1700.64s)
you were starting to get nervous about
[28:22] (1702.96s)
the the the stampede towards war. I
[28:26] (1706.16s)
think you were correctly perceiving what
[28:27] (1707.76s)
was happening in the media. I mean, and
[28:29] (1709.44s)
this includes Fox News, especially Fox
[28:31] (1711.36s)
News. There was all this talk about how
[28:33] (1713.36s)
easy it would be. It' be a cakewalk,
[28:35] (1715.12s)
that the government was on its last
[28:36] (1716.40s)
legs, that it was weak, that it was
[28:38] (1718.08s)
basically almost toppled. We just need
[28:39] (1719.52s)
to push it over. You're right about the
[28:41] (1721.52s)
WMD talk, the talk about the
[28:43] (1723.36s)
assassination. This is all like a
[28:46] (1726.56s)
literally like a carbon copy of the
[28:48] (1728.80s)
arguments that were made back in 2003.
[28:51] (1731.12s)
It's the playbook to get us into the
[28:52] (1732.72s)
Iraq war. But look, I think two things
[28:54] (1734.96s)
are different now. Number one is
[28:56] (1736.72s)
President Trump is not George W. Bush. I
[28:58] (1738.88s)
mean, that was made abundantly clear.
[29:00] (1740.64s)
Number two is we now have alternative
[29:03] (1743.04s)
media that even though the mainstream
[29:05] (1745.36s)
media and Fox News was basically acting
[29:07] (1747.12s)
like this was 2003. You had alternative
[29:09] (1749.20s)
media and you had people like Tucker
[29:11] (1751.20s)
Carlson speaking out and Steve Bannon, I
[29:13] (1753.12s)
have to give him credit on this and
[29:15] (1755.36s)
others who are who are pointing this out
[29:17] (1757.52s)
and making the case that this would not
[29:19] (1759.36s)
go well. And I do think that it's been
[29:22] (1762.00s)
very helpful to have those chorus of
[29:23] (1763.92s)
voices as a rebuttal. Yes. You know, you
[29:26] (1766.88s)
correctly felt that we were being pushed
[29:29] (1769.20s)
into war, but I think this was different
[29:31] (1771.76s)
now because 20 years later, people
[29:34] (1774.72s)
remember what happened, at least enough
[29:36] (1776.32s)
do, that they're able to make the
[29:38] (1778.16s)
counter case. And I think that
[29:39] (1779.92s)
fortunately, we have a decision maker
[29:41] (1781.68s)
and chief who also remembers and listens
[29:44] (1784.40s)
to those arguments. All right, I think
[29:46] (1786.48s)
we've made some good progress here.
[29:48] (1788.16s)
Let's move on in the docket. We've got a
[29:50] (1790.24s)
lot of other uh topics to talk about.
[29:52] (1792.96s)
Obviously oil prices, Chimap, you had
[29:55] (1795.12s)
talked about those in relation to this
[29:57] (1797.52s)
action. You said, "Hey, if this goes
[29:58] (1798.96s)
poorly, we could be looking at a $100 a
[30:01] (1801.04s)
barrel oil."
[30:03] (1803.36s)
Quite um interestingly, while it did
[30:05] (1805.76s)
spike a little bit up to $74, almost hit
[30:08] (1808.24s)
your $100 chimoth, racing up from the
[30:11] (1811.84s)
$60 mark, you know, we come back down
[30:13] (1813.84s)
now. And I think people our energy
[30:15] (1815.76s)
independence here in the United States
[30:17] (1817.28s)
makes us not immune to this, but we're
[30:20] (1820.24s)
somewhat protected. And I think that's
[30:21] (1821.52s)
the great thing about energy
[30:22] (1822.56s)
independence.
[30:24] (1824.08s)
But here we are. The markets have
[30:27] (1827.04s)
digested this, priced it in, processed
[30:29] (1829.76s)
it in a way that I think maybe none of
[30:32] (1832.48s)
us thought it would. So maybe you could
[30:34] (1834.40s)
unpack your thinking now on the market's
[30:37] (1837.04s)
reaction to the war. The fear that I had
[30:40] (1840.40s)
was that if there was um protracted
[30:43] (1843.20s)
conflict, what you effectively would see
[30:47] (1847.60s)
is a bunch of supply go offline. And if
[30:52] (1852.00s)
that supply went offline and as long as
[30:54] (1854.56s)
the demand stayed even roughly the same,
[30:56] (1856.80s)
you would see prices go up. My thought
[30:58] (1858.56s)
was that the price of oil could double.
[31:01] (1861.52s)
I think Goldman had it slightly under a
[31:03] (1863.76s)
doubling. So that was definitely the the
[31:08] (1868.80s)
what folks had going into that weekend.
[31:12] (1872.00s)
But coming out of it, this is where I
[31:14] (1874.16s)
think you have to be very respectful of
[31:15] (1875.84s)
the fact that the market is really the
[31:17] (1877.68s)
sum of many, many, many millions of
[31:21] (1881.12s)
informed opinions. And I think what they
[31:23] (1883.44s)
saw was that Iran was not really in a
[31:27] (1887.36s)
position to do anything but capitulate
[31:30] (1890.40s)
and give up.
[31:32] (1892.40s)
And I think that what they also saw,
[31:35] (1895.84s)
whether you agree with the Israeli
[31:37] (1897.52s)
policy or not, was that they had
[31:40] (1900.32s)
systematically
[31:42] (1902.00s)
gone from where they are and marched
[31:45] (1905.44s)
eastward. Essentially, they effectively
[31:49] (1909.04s)
decapitated Hamas. They effectively
[31:51] (1911.12s)
decapitated Hezbollah. They effectively
[31:53] (1913.20s)
decapitated the Houthis.
[31:55] (1915.92s)
I think finally putting a nail in the
[31:58] (1918.16s)
coffin of this Iran nuclear ambition
[32:01] (1921.20s)
program was not just important for them
[32:03] (1923.36s)
but it's critical for Saudi and the UAE.
[32:06] (1926.16s)
You know MBS had an incredibly powerful
[32:08] (1928.96s)
quote which was if Iran gets a nuclear
[32:11] (1931.76s)
weapon we will have no choice but to get
[32:13] (1933.68s)
our own. Right? So by taking all of that
[32:17] (1937.92s)
risk off the table, what you're now
[32:20] (1940.16s)
talking about is an enormous supply that
[32:24] (1944.08s)
could essentially service world
[32:26] (1946.24s)
productivity needs unhindered because
[32:28] (1948.72s)
it's not just Iranian supply. You're
[32:30] (1950.72s)
talking about Emirati supply and you're
[32:33] (1953.04s)
talking about Qatari supply and you're
[32:34] (1954.72s)
talking about Saudi supply. So, I think
[32:36] (1956.72s)
what the market realized was, okay, now
[32:39] (1959.92s)
the Middle East is the closest it's ever
[32:44] (1964.00s)
to fully monetizing the oil that they
[32:46] (1966.48s)
have and to invest
[32:49] (1969.44s)
aggressively into their own people. The
[32:52] (1972.64s)
second thing is that Steve Witco
[32:56] (1976.56s)
spoke about the fact that you should
[32:59] (1979.20s)
expect the Abraham Accords to expand. So
[33:02] (1982.40s)
if you think about that one-two punch,
[33:04] (1984.64s)
not necessarily from a geopolitical
[33:06] (1986.40s)
lens, but from an economic lens, the
[33:08] (1988.48s)
first punch is neutering the Iranians
[33:11] (1991.52s)
ability to be chaos monkeys in the
[33:13] (1993.28s)
region. But the second punch is the one
[33:15] (1995.92s)
that then now creates normalization
[33:18] (1998.32s)
across the region with Israel.
[33:21] (2001.36s)
It double and triples down the ability
[33:23] (2003.36s)
to monetize oil and start to invest
[33:25] (2005.68s)
those returns in future projects that
[33:28] (2008.00s)
have a much better ROI. All of that
[33:30] (2010.16s)
leads to cheaper energy and Iran becomes
[33:32] (2012.48s)
the odd person out here in this new, you
[33:35] (2015.84s)
know, federation of people in the Middle
[33:37] (2017.76s)
East who want peace and normal
[33:39] (2019.36s)
relations. I think it's a phenomenal
[33:41] (2021.36s)
question, Jason, but I think that's what
[33:42] (2022.72s)
the market sniffed out and I think
[33:44] (2024.32s)
that's what the market is now saying
[33:46] (2026.16s)
like that this is a chapter that we can
[33:49] (2029.92s)
close and move on. This could be a big
[33:52] (2032.80s)
paradigm shift and framework, the major
[33:54] (2034.96s)
part of this paradigm shift that we're
[33:56] (2036.40s)
seeing here comes from an investment in
[33:59] (2039.36s)
energy in the United States since the
[34:02] (2042.00s)
Iraq war, since the Afghanistan war. We
[34:04] (2044.64s)
now are energy independent. We're a net
[34:06] (2046.56s)
exporter. We've invested in solar. We've
[34:08] (2048.88s)
invested in wind. We are doing more
[34:10] (2050.80s)
drilling, nat gas. And this week, uh I
[34:13] (2053.36s)
think we saw some new starts for nuclear
[34:16] (2056.40s)
as well. So this time around when we
[34:19] (2059.92s)
look at our Middle East policy, it is
[34:21] (2061.76s)
not informed by our need for that oil.
[34:23] (2063.60s)
Is that correct Fber? In your mind?
[34:25] (2065.52s)
Well, I think you have to look at it on
[34:27] (2067.20s)
a global basis. Iran exports $60 billion
[34:31] (2071.84s)
a year and about 55 billion of that goes
[34:34] (2074.96s)
to China and that number is up from I
[34:38] (2078.72s)
believe sub 30% just a few years ago or
[34:41] (2081.36s)
sub 20%. So the relationship between
[34:45] (2085.52s)
Iran and China and the importance of
[34:48] (2088.16s)
that relationship to China's economy and
[34:50] (2090.80s)
productivity I think cannot be
[34:52] (2092.88s)
understated. So independent of the
[34:54] (2094.40s)
United States on a global stage, the
[34:58] (2098.64s)
situation with the supply of energy and
[35:02] (2102.48s)
the partnership on energy with what is
[35:05] (2105.12s)
effectively the US's largest rival now
[35:08] (2108.08s)
is critical to take into account when
[35:10] (2110.16s)
doing the calculus on how to resolve
[35:11] (2111.76s)
forward here. Which is also why and I
[35:14] (2114.16s)
don't think that we have perfect
[35:15] (2115.36s)
information. I don't think the public
[35:17] (2117.44s)
has been given perfect information about
[35:19] (2119.44s)
the statesmanship that's gone on between
[35:21] (2121.92s)
the United States and China or the
[35:23] (2123.52s)
conversations that gone on at a high
[35:25] (2125.44s)
level between the US and China or at a
[35:27] (2127.92s)
high level between the US and Russia
[35:30] (2130.00s)
regarding what is the right way to
[35:33] (2133.52s)
transition the region. When I look at
[35:35] (2135.68s)
the region and when you'd hear about
[35:37] (2137.44s)
other leaders in that region speaking
[35:39] (2139.36s)
publicly, the King of Jordan, MBS from
[35:42] (2142.72s)
Saudi, the Omanis from Bahrain, all of
[35:46] (2146.80s)
the other leaders in that region, even
[35:48] (2148.64s)
the Qataris who seem to kind of try to
[35:50] (2150.56s)
straddle both sides here, they all seem
[35:53] (2153.12s)
to have a very strong imperative and
[35:55] (2155.52s)
incentive to modernize the Middle East,
[35:58] (2158.40s)
to bring those economies into the global
[36:01] (2161.12s)
stage, to bring them into kind of a
[36:02] (2162.88s)
modern economy. Well, Jason, I know
[36:04] (2164.32s)
you've talked about this and you've
[36:05] (2165.36s)
visited and the rest of us obviously
[36:06] (2166.64s)
have relationships there, but there's a
[36:08] (2168.72s)
strong demand and a strong interest in
[36:10] (2170.24s)
this region and modernizing. And that
[36:12] (2172.24s)
modernization is going to benefit the
[36:13] (2173.92s)
world because they will ultimately be
[36:16] (2176.16s)
net exporters. They will ultimately net
[36:18] (2178.08s)
net producers of things that everyone
[36:20] (2180.48s)
else will buy and participate in. And
[36:21] (2181.84s)
they will also be very big consumers.
[36:23] (2183.76s)
They are already very big buyers of
[36:26] (2186.24s)
American technology and American
[36:28] (2188.40s)
businesses and also big financiers of
[36:30] (2190.72s)
global capitalism. So in that context, I
[36:35] (2195.28s)
don't think it's just about, hey, we got
[36:36] (2196.88s)
to go get the oil, or hey, we got to go
[36:38] (2198.88s)
get the energy. It's about how do you
[36:40] (2200.72s)
balance China's need for energy, how do
[36:43] (2203.76s)
you balance the Russian incentives, and
[36:45] (2205.76s)
how do you help the rest of that region
[36:47] (2207.44s)
modernize? And I think that's where
[36:49] (2209.20s)
there's a very complex dance underway
[36:51] (2211.60s)
that we have very little insight into
[36:53] (2213.36s)
the details of those conversations. And
[36:54] (2214.96s)
I'm not going to just sit here and be
[36:56] (2216.08s)
like very flippant about, oh, we should
[36:57] (2217.68s)
do this or we should do that because
[36:59] (2219.28s)
there's a lot at play. And I think that
[37:01] (2221.44s)
that is in my opinion the net calculus,
[37:04] (2224.64s)
the bigger picture calculus that's
[37:06] (2226.24s)
underway in trying to transition the
[37:08] (2228.56s)
region. Sax, let me ask you a question
[37:10] (2230.64s)
here. Leveling it up pretty well known.
[37:13] (2233.12s)
The Israelis have nuclear weapons and
[37:15] (2235.92s)
many of them and they have for some time
[37:18] (2238.08s)
even though they're not part of any of
[37:19] (2239.52s)
the treaties and they will claim they
[37:21] (2241.68s)
don't or or be a little koi about it.
[37:24] (2244.48s)
What is the argument for nobody else in
[37:26] (2246.56s)
the region being allowed to have one if
[37:28] (2248.24s)
the Israelis have many? And would you be
[37:31] (2251.36s)
okay with Saudi having nuclear bombs?
[37:35] (2255.52s)
And what is the argument we would make
[37:37] (2257.68s)
to them as the West, Americans, people
[37:40] (2260.16s)
who have nuclear
[37:42] (2262.40s)
weapons, Russia, China have them? Why
[37:44] (2264.56s)
can't Saudi have them? What's your best
[37:46] (2266.08s)
argument to them of not acquiring them?
[37:48] (2268.32s)
If is the Israelis have dozens to
[37:50] (2270.24s)
hundreds? Well, nuclear proliferation is
[37:52] (2272.56s)
not in our interest. We don't want more
[37:54] (2274.48s)
countries getting nuclear weapons.
[37:55] (2275.84s)
Obviously, some countries have them, but
[37:58] (2278.40s)
if you use that as the rationalization
[38:00] (2280.16s)
for everyone being able to have them,
[38:01] (2281.52s)
then you're going to end up with 200
[38:02] (2282.72s)
countries have nuclear weapons. So, I
[38:04] (2284.64s)
think the nuclear non-prololiferation
[38:06] (2286.00s)
regime is in the interest of the United
[38:07] (2287.84s)
States. We all understand the danger of
[38:09] (2289.76s)
these weapons. The more countries that
[38:11] (2291.28s)
have them, the more dangerous the world
[38:13] (2293.12s)
becomes. Now, it is true that
[38:16] (2296.80s)
unofficially the Israelis have nuclear
[38:18] (2298.56s)
weapons, but like you were saying
[38:19] (2299.92s)
before, if Iran gets nukes, then Saudi
[38:22] (2302.88s)
Arabia will be forced to get nukes and
[38:24] (2304.56s)
so on down the line. And so there will
[38:26] (2306.72s)
be a domino effect with each country
[38:28] (2308.48s)
that gets nuclear weapons. More
[38:30] (2310.48s)
countries around them will feel the need
[38:33] (2313.20s)
that are threatened to have their own
[38:34] (2314.88s)
deterrent. And the question is just
[38:37] (2317.36s)
where you stop this. And I think we just
[38:39] (2319.36s)
want to stop it here. We don't want more
[38:41] (2321.84s)
countries getting nuclear weapons,
[38:43] (2323.52s)
particularly ones that we have hostile
[38:44] (2324.96s)
relations with. Yeah. And the the last
[38:48] (2328.56s)
country to give up their nuclear
[38:49] (2329.68s)
weapons, Ukraine. Really bad decision
[38:52] (2332.48s)
perhaps, I think. Well, that was in the
[38:55] (2335.20s)
'90s, actually. Yeah. Another country
[38:57] (2337.60s)
gave up their nuclear weapons program,
[38:58] (2338.96s)
which was Libya. Y and what happened to
[39:02] (2342.00s)
Gaddafi? He got killed by rebels who
[39:05] (2345.92s)
were being backed by the United States
[39:07] (2347.20s)
after he gave up his nuclear weapons
[39:09] (2349.28s)
program. Yeah, I think that was a really
[39:11] (2351.76s)
they had them though. They actually had
[39:13] (2353.12s)
the weapons, not just a program, right?
[39:14] (2354.72s)
But there's some there's some truth to
[39:17] (2357.20s)
that, but that's a little bit
[39:18] (2358.56s)
simplifying the situation because what
[39:20] (2360.08s)
happened is at the end of the Soviet
[39:21] (2361.76s)
Union, there were a bunch of Soviet
[39:23] (2363.20s)
nukes that were in Ukraine. But as I
[39:25] (2365.68s)
understand it, the launch codes were in
[39:28] (2368.56s)
Moscow. So these were Soviet nuclear
[39:31] (2371.36s)
weapons that happened to be on Ukrainian
[39:33] (2373.60s)
soil and then when the Soviet Union came
[39:35] (2375.20s)
apart they were there but they were
[39:37] (2377.60s)
always under the control of Moscow. And
[39:39] (2379.84s)
so I don't think that the Ukrainians
[39:42] (2382.56s)
gave up much because they were never
[39:45] (2385.60s)
their nukes. It's not clear they could
[39:47] (2387.36s)
have used them. And one final point on
[39:50] (2390.00s)
this is that it was the Russian
[39:52] (2392.00s)
government and the American government
[39:53] (2393.44s)
that pressured Ukraine to comply because
[39:56] (2396.32s)
we don't want more countries having
[39:57] (2397.76s)
nuclear weapons. Okay, let's um get on
[40:00] (2400.16s)
to this Democratic socialist who's on
[40:02] (2402.08s)
the verge of becoming New York City's
[40:03] (2403.84s)
mayor,
[40:05] (2405.92s)
littleknown New York State Assemblyman,
[40:07] (2407.84s)
Zoron Mam Donnie, took the internet by
[40:10] (2410.48s)
storm this week. Shocked the world,
[40:11] (2411.60s)
beating out Andrew Cuomo for the
[40:14] (2414.08s)
Democratic nomination. Here's the poly
[40:16] (2416.16s)
market chart. Just crazy. One month ago,
[40:18] (2418.24s)
Cuomo was at 93%.
[40:22] (2422.40s)
had a 6% chance. My lord, what a flip.
[40:27] (2427.04s)
A couple of things happened that led to
[40:28] (2428.56s)
this. Obviously, a bunch of viral
[40:30] (2430.40s)
moments. He's a great speaker. Reminds
[40:31] (2431.84s)
me of Vake in in that regard. Really
[40:34] (2434.48s)
good uh you know, in debates and and
[40:36] (2436.72s)
speaking publicly. Started rising in the
[40:39] (2439.28s)
polls. Got a ton of endorsements from
[40:42] (2442.16s)
millennials, Gen Z, AOC, endorsed him as
[40:45] (2445.28s)
well. And uh now he is mom Donnie is the
[40:49] (2449.84s)
75% favorite to beat Eric Adams. But
[40:52] (2452.64s)
looks like Eric Adams is gonna get a
[40:54] (2454.72s)
shocking amount of support because
[40:56] (2456.56s)
people don't want a democratic socialist
[41:00] (2460.16s)
who's got some really unique and
[41:03] (2463.28s)
colorful history
[41:05] (2465.92s)
of becoming the mayor of one of the
[41:08] (2468.64s)
greatest cities in the world, my
[41:10] (2470.32s)
hometown. He wants to have free buses.
[41:13] (2473.20s)
Doesn't sound like that big of a deal.
[41:14] (2474.96s)
He wants to freeze rent and triple the
[41:16] (2476.96s)
development of affordable housing.
[41:18] (2478.08s)
City-owned government grocery stores.
[41:20] (2480.32s)
That sounds crazy. a $30 minimum wage.
[41:22] (2482.88s)
New York's at$,650, by the way. Uh he
[41:25] (2485.44s)
wants to defund the police, replace the
[41:27] (2487.12s)
cops with social workers in high crime
[41:28] (2488.88s)
areas. A bunch of really wacky,
[41:31] (2491.28s)
interesting proposals. And uh you were,
[41:34] (2494.96s)
I think, on to this early. Freedberg, in
[41:38] (2498.72s)
your predictions last year, you saw this
[41:40] (2500.96s)
coming. Again, if you listen to the
[41:42] (2502.72s)
number one podcast in the world, you're
[41:43] (2503.92s)
gonna get this information a year
[41:45] (2505.20s)
earlier than everybody else. That's why
[41:47] (2507.84s)
we are the number one podcast in the
[41:49] (2509.04s)
world. Freeberg, maybe you talk a little
[41:50] (2510.40s)
bit about your prediction last year and
[41:54] (2514.08s)
uh where we are right now and your
[41:56] (2516.24s)
reaction for this. I don't know,
[41:58] (2518.72s)
perplexing, shocking. Is this
[42:00] (2520.00s)
perplexing, shocking, or obvious to you?
[42:02] (2522.56s)
For me, it feels like actually a little
[42:04] (2524.56s)
bit of a beginning of a wave that's
[42:07] (2527.68s)
going to continue to sweep over this
[42:09] (2529.52s)
country starting in cities. And I think
[42:11] (2531.52s)
that we're at the very early stages. I
[42:14] (2534.00s)
think we'll look back and I jokingly say
[42:17] (2537.28s)
that Kla Harris is going to look like a
[42:19] (2539.20s)
conservative candidate pretty soon. And
[42:22] (2542.00s)
I do think that this is a broad kind of
[42:25] (2545.12s)
reaction to the economic condition of
[42:27] (2547.04s)
the United States. And I've talked a lot
[42:29] (2549.12s)
of people don't quite recognize and see
[42:30] (2550.88s)
how important the debt and the deficit
[42:33] (2553.36s)
is with respect to how it's ultimately
[42:35] (2555.20s)
going to lead to socialism as it has
[42:37] (2557.52s)
every single time in history when you've
[42:39] (2559.12s)
had a free voting democracy, a
[42:41] (2561.04s)
representative democracy that becomes
[42:42] (2562.72s)
encumbered with too much debt. So Nick,
[42:45] (2565.60s)
if you'll pull up this chart, it'll just
[42:46] (2566.96s)
show you a microcosm of it and
[42:48] (2568.56s)
specifically how it played out in New
[42:50] (2570.08s)
York and how it will continue to play
[42:51] (2571.20s)
out in cities. This is the total amount
[42:53] (2573.28s)
of student loan debt in the last 20
[42:55] (2575.04s)
years. is the student loan debt has
[42:56] (2576.32s)
ballooned from 500 billion to 2
[42:58] (2578.72s)
trillion. 4 million college graduates
[43:01] (2581.12s)
per year in the United States. About 40%
[43:03] (2583.20s)
of them have student loan debt that they
[43:05] (2585.04s)
leave. That means that in the last 20
[43:07] (2587.28s)
years, 80 million people, young people
[43:09] (2589.36s)
have graduated from college. And they've
[43:11] (2591.36s)
accured $ 1.5 trillion of new debt. And
[43:14] (2594.48s)
based on the percentage and the
[43:15] (2595.60s)
distribution, that means the average
[43:16] (2596.96s)
debt for these individuals is sitting
[43:18] (2598.48s)
around $60,000.
[43:20] (2600.48s)
So you're a young person. Where do those
[43:22] (2602.32s)
young people go? Where do they live? And
[43:24] (2604.32s)
remember, there's about 32 million of
[43:26] (2606.08s)
them. They live in cities. They don't go
[43:29] (2609.04s)
back to rural towns. Most of that
[43:31] (2611.20s)
population sits in cities. It sits in
[43:33] (2613.28s)
New York, sits in Los Angeles, sits in
[43:36] (2616.24s)
Seattle, sits in San Francisco, sits in
[43:39] (2619.20s)
Portland, and sit in Chicago. And what
[43:42] (2622.56s)
we're seeing in those cities is a
[43:44] (2624.48s)
massive political shift. People call it
[43:47] (2627.12s)
left, but it's actually quite different
[43:48] (2628.72s)
than just being more traditionally left.
[43:50] (2630.64s)
It's really a revolution against the
[43:52] (2632.16s)
system that brought them to this moment
[43:54] (2634.08s)
because the promise that we gave in
[43:55] (2635.68s)
America, the American dream was if you
[43:57] (2637.60s)
will go to college, you will graduate,
[43:59] (2639.12s)
you will have income, you will have
[44:00] (2640.72s)
stability, you will be able to buy a
[44:02] (2642.24s)
home. And what we did is we increased
[44:04] (2644.72s)
the government's role in making that
[44:06] (2646.80s)
dream possible. And in doing so, we
[44:09] (2649.76s)
created effectively a system where we
[44:11] (2651.76s)
gave unrestricted access to capital
[44:14] (2654.56s)
which inflated the cost of education.
[44:16] (2656.72s)
People could go to school like Zoran and
[44:18] (2658.96s)
major in African studies at Bowden
[44:21] (2661.20s)
College. They could get a a loan and
[44:23] (2663.84s)
graduate with 200 $300,000 of debt and
[44:26] (2666.64s)
then never get a job. The guy has not
[44:28] (2668.16s)
had a real job. And this is the truth
[44:29] (2669.92s)
for 32 million young Americans. They
[44:33] (2673.04s)
find themselves living in places where
[44:34] (2674.96s)
they cannot afford to pay their bills
[44:36] (2676.48s)
every month and they will never get out
[44:38] (2678.24s)
of the debt cycle that they were thrust
[44:40] (2680.24s)
into and believe that they were going to
[44:42] (2682.48s)
be able to graduate from and excel in
[44:45] (2685.04s)
the world and increase. They all have
[44:47] (2687.52s)
what is called negative capital. They
[44:49] (2689.68s)
have debt and they will never be able to
[44:51] (2691.12s)
get out of that cycle. So where do you
[44:52] (2692.56s)
turn in that moment? You don't go turn
[44:54] (2694.64s)
to corporations to solve your problems.
[44:56] (2696.40s)
You don't go turn to your friends and
[44:58] (2698.16s)
your siblings and your family. They're
[44:59] (2699.68s)
not going to bail you out. You turn to
[45:02] (2702.80s)
the voting booth and you hear a guy like
[45:05] (2705.20s)
Zoran show up and say there can be a
[45:07] (2707.28s)
better path forward. The better path
[45:09] (2709.44s)
forward is the government can and should
[45:11] (2711.36s)
do more to help. And in doing more to
[45:14] (2714.32s)
help, we will increase government. We
[45:16] (2716.00s)
will tax the rich. We will tax the
[45:17] (2717.52s)
corporations. We will take all of that
[45:19] (2719.44s)
capital and we will redistribute it in
[45:22] (2722.08s)
the form of services and checks and
[45:24] (2724.72s)
support for all of the people that find
[45:26] (2726.80s)
themselves unable to take care of
[45:28] (2728.48s)
themselves. And this becomes a tipping
[45:30] (2730.88s)
point when the majority of the voter
[45:32] (2732.64s)
base ends up in that situation where
[45:34] (2734.88s)
they're that deeply in need where they
[45:36] (2736.24s)
have negative capital. And that is the
[45:38] (2738.16s)
situation America finds itself in today.
[45:40] (2740.32s)
There is no easy answer and there is no
[45:42] (2742.24s)
easy solution out of this. But I can
[45:43] (2743.68s)
tell you one thing for sure that in
[45:45] (2745.68s)
historical perspective we have seen it
[45:47] (2747.76s)
time and time again across dozens of
[45:50] (2750.48s)
countries that have embraced socialism
[45:52] (2752.32s)
to get out of the debt cycle that
[45:53] (2753.92s)
ultimately absorbs and and swallows up
[45:57] (2757.04s)
the young. It swallows up every family.
[45:59] (2759.12s)
It swallows up every person in the
[46:00] (2760.56s)
working class with debt. They're
[46:02] (2762.24s)
swaddled with it. And they all try and
[46:04] (2764.16s)
get out of it by increasing government
[46:05] (2765.92s)
and embracing these socialist concepts.
[46:08] (2768.00s)
And it has never ever worked. More
[46:10] (2770.08s)
government is not the answer. Less
[46:11] (2771.84s)
government is. We can get into that. But
[46:13] (2773.60s)
if you look at the results, Zoran won 61
[46:16] (2776.64s)
to 39 with college educated. Young
[46:19] (2779.52s)
people voted for him. Old people did not
[46:21] (2781.44s)
as much. White people voted for him
[46:23] (2783.52s)
because they went to college. Non-white
[46:25] (2785.36s)
people did not as much. At the end of
[46:27] (2787.84s)
the day, young collegeed educated white
[46:30] (2790.16s)
people elected this guy and that is the
[46:32] (2792.56s)
beginning of a wave that will sweep over
[46:34] (2794.24s)
America. And I really do worry about
[46:36] (2796.32s)
where this takes us. So way to go for
[46:38] (2798.96s)
dummies.
[46:40] (2800.48s)
Yeah. I mean the you're correct. He won
[46:44] (2804.00s)
amongst Asians why it's college
[46:45] (2805.68s)
educated. And to put a finer point on
[46:47] (2807.68s)
it, Freeberg, it really isn't just
[46:50] (2810.08s)
college. It's the cost of college.
[46:52] (2812.00s)
Increases in the cost of college degrees
[46:54] (2814.16s)
have outpaced the wage growth of
[46:56] (2816.80s)
entry-level salaries by 10x over the
[46:59] (2819.44s)
last 20 years. You could go 300,000
[47:02] (2822.72s)
400,000 not in debt, but that might be
[47:04] (2824.80s)
what you paid for those degrees in those
[47:07] (2827.28s)
major cities and you don't believe in
[47:09] (2829.84s)
capitalism anymore and you believe that
[47:11] (2831.68s)
you need to tax the rich. Just one
[47:14] (2834.48s)
warning for people in these states, in
[47:17] (2837.12s)
these cities. We saw this sachs in San
[47:19] (2839.28s)
Francisco. We saw the the the doom
[47:22] (2842.00s)
spiral. You and I worked on the Ches
[47:23] (2843.60s)
Bodin recall and now they have Dan Lori
[47:26] (2846.48s)
there and things are starting to slowly
[47:28] (2848.40s)
turn around a bit in Los Angeles. We saw
[47:31] (2851.84s)
this with Karen Bass. They didn't vote
[47:33] (2853.28s)
for Rick Caruso. He would have been an
[47:34] (2854.88s)
amazing mayor. They voted for
[47:36] (2856.40s)
incompetence. And these people are
[47:38] (2858.88s)
voting for incompetence and a plan that
[47:41] (2861.12s)
will not work because twothirds of the
[47:43] (2863.92s)
tax base in New York is paid for by the
[47:45] (2865.60s)
top 10% who are leaving. People will
[47:48] (2868.56s)
leave. They will see that Austin and
[47:51] (2871.12s)
Miami are fantastic cities to live in at
[47:54] (2874.00s)
half the price, a third of the price,
[47:55] (2875.84s)
and you get a tax break, and you can
[47:57] (2877.92s)
always go back to New York and
[47:59] (2879.04s)
California and hang out for a month and
[48:00] (2880.56s)
get whatever values left in those cities
[48:03] (2883.20s)
that hasn't been destroyed by these
[48:05] (2885.44s)
socialists and the incompetent people
[48:07] (2887.76s)
running them. Saxs, what are your
[48:09] (2889.44s)
thoughts on what's happening in New York
[48:11] (2891.44s)
City specifically? Well, you're right
[48:13] (2893.60s)
that every generation seems to need to
[48:16] (2896.24s)
learn this lesson for themselves because
[48:18] (2898.32s)
they don't study history and they they
[48:20] (2900.16s)
don't see that socialism always fails
[48:22] (2902.08s)
wherever it's tried. San Francisco went
[48:24] (2904.40s)
through this. I mean, it was a doom
[48:26] (2906.48s)
spiral. Uh now, I think we've turned the
[48:28] (2908.40s)
corner. LA is in the midst of going
[48:30] (2910.32s)
through it and a large portion of LA
[48:32] (2912.24s)
just burned down because there's no
[48:33] (2913.84s)
water in the fire hydrants. Basically,
[48:36] (2916.00s)
all the public services have been looted
[48:38] (2918.48s)
and New York is about to learn this for
[48:40] (2920.08s)
themselves. So it just seems like every
[48:41] (2921.92s)
generation just has to learn this.
[48:43] (2923.20s)
There's no way to teach them. So I do
[48:45] (2925.36s)
think that that is one thing that's
[48:46] (2926.80s)
going on. I I do agree with Freeberg
[48:48] (2928.56s)
that a big underlying root cause here is
[48:50] (2930.96s)
the student debt is the fact that these
[48:52] (2932.88s)
kids have negative capital. They've got
[48:54] (2934.96s)
no skin in the game. They graduate from
[48:56] (2936.88s)
college with worthless degrees and
[48:59] (2939.20s)
massive amounts of debt. That debt was
[49:01] (2941.04s)
not used to make their education better.
[49:04] (2944.08s)
Universities have been using the
[49:06] (2946.64s)
spiraling tuitions to fund massive
[49:08] (2948.40s)
amounts of bureaucracy, you know, for
[49:10] (2950.40s)
DEI and woke and all sorts of stuff like
[49:12] (2952.24s)
that. And these kids have no prospect of
[49:15] (2955.76s)
getting out of debt or being able to buy
[49:17] (2957.52s)
a home. So, they just have no skin in
[49:19] (2959.44s)
the game. And so, this is part of why
[49:20] (2960.96s)
they're they're turning against
[49:22] (2962.32s)
capitalism. One thing we need to do, by
[49:24] (2964.72s)
the way, is we need to make the student
[49:26] (2966.56s)
debt dischargeable in bankruptcy. is one
[49:30] (2970.00s)
of the only it's the only kind of debt
[49:32] (2972.00s)
that you can't get out of through
[49:33] (2973.84s)
bankruptcy. And if we were to make that
[49:35] (2975.92s)
change, at least these kids would have a
[49:37] (2977.28s)
way out. They have no skin in the game.
[49:39] (2979.20s)
The universities have absolutely no
[49:41] (2981.28s)
incentive to keep prices down and create
[49:43] (2983.44s)
a competitive or economic incentive for
[49:45] (2985.60s)
making sure that their degrees work. The
[49:47] (2987.76s)
only group that possibly could would be
[49:50] (2990.00s)
true capital lenders. People like banks
[49:52] (2992.40s)
or underwriters that are saying, "Here's
[49:54] (2994.00s)
a loan because I expect you to be able
[49:55] (2995.28s)
to pay it back." There's no underwriting
[49:57] (2997.28s)
in student loans today. There's no
[49:59] (2999.04s)
underwriting. The student loan program,
[50:00] (3000.72s)
the federal student loan program needs
[50:02] (3002.16s)
to go away because when it goes away, if
[50:04] (3004.16s)
it goes to zero and people might say,
[50:05] (3005.84s)
"Oh, that's awful. You're taking away
[50:07] (3007.12s)
education." What will happen is the
[50:09] (3009.04s)
capital markets will flood to fill that
[50:10] (3010.88s)
hole. Banks and lenders will show up and
[50:13] (3013.68s)
they will say, "You know what? We'll
[50:14] (3014.88s)
underwrite the loans." But they'll
[50:16] (3016.56s)
underwrite it by saying good colleges
[50:18] (3018.24s)
get the get get loans and bad colleges
[50:20] (3020.40s)
don't. Good degrees get the loans, bad
[50:22] (3022.24s)
degrees don't. And people that are
[50:23] (3023.84s)
expected to pay back the loans will now
[50:25] (3025.36s)
get loans. and all of the rest of the
[50:27] (3027.28s)
money that's caused everyone to end up
[50:28] (3028.64s)
in this debt spiral will stop and we'll
[50:31] (3031.20s)
be able to kind of recover from it. It's
[50:32] (3032.88s)
ironic that a problem that is being
[50:36] (3036.48s)
caused by government is going to lead to
[50:38] (3038.96s)
socialism. It's going to lead to maximum
[50:40] (3040.48s)
government which will then create the
[50:42] (3042.24s)
next spiral of problems. But I agree
[50:44] (3044.24s)
with you. I think this is very sad. But
[50:46] (3046.00s)
let me let me me also say I think
[50:47] (3047.28s)
there's one other thing going on here
[50:48] (3048.80s)
which is beyond just sort of the lack of
[50:51] (3051.36s)
skin of the game here which is the
[50:53] (3053.92s)
failure of the Democratic establishment.
[50:56] (3056.00s)
It's basically completely antiquated,
[50:59] (3059.28s)
desiccated and out of touch. And who was
[51:03] (3063.28s)
Mam Donnie running against? Andrew Cuomo
[51:05] (3065.60s)
who is really a perfect avatar for this
[51:08] (3068.96s)
establishment. He's a retread. He's been
[51:11] (3071.28s)
around for decades. He'd probably be
[51:13] (3073.28s)
finishing his fourth term as governor
[51:14] (3074.96s)
except for a harassment scandal that
[51:17] (3077.12s)
forces resignation.
[51:19] (3079.20s)
He's 67, which is something of a spring
[51:21] (3081.12s)
chicken by the standards of Democrat
[51:23] (3083.28s)
gerontocracy, but he's twice the age of
[51:25] (3085.20s)
my dami, who's 33. And Cuomo hasn't even
[51:28] (3088.32s)
lived in New York City for three
[51:29] (3089.68s)
decades. He wanted to mount a political
[51:31] (3091.68s)
comeback that no one was asking for. And
[51:34] (3094.00s)
the Democratic establishment just fell
[51:35] (3095.60s)
in line rather than having a proper
[51:37] (3097.28s)
contest to choose a less damaged, more
[51:40] (3100.40s)
dynamic candidate. He's a Nepo baby too,
[51:43] (3103.44s)
right? So, you know, does this sound
[51:45] (3105.04s)
familiar? I mean, this is exactly what
[51:46] (3106.56s)
happened with Biden is that no one
[51:48] (3108.80s)
wanted him to run again. He was
[51:52] (3112.00s)
obviously a a very weak candidate, but
[51:55] (3115.36s)
the Democratic establishment just fell
[51:56] (3116.96s)
in line and covered up his weaknesses
[51:58] (3118.80s)
and they use lawfare to take out his
[52:00] (3120.64s)
opponents totally rather than trying to
[52:02] (3122.24s)
find a more dynamic candidate. And by
[52:04] (3124.00s)
the way, one of the reasons why Maami is
[52:07] (3127.28s)
set to become mayor is because the
[52:10] (3130.24s)
Democratic establishment used lawfare
[52:12] (3132.48s)
against Eric Adams to basically weaken
[52:15] (3135.04s)
him and take him out over some plane
[52:17] (3137.84s)
tickets. I thought this was a very weak
[52:19] (3139.44s)
corruption. There were upgrades. There
[52:20] (3140.88s)
were upgrades even like it was so
[52:22] (3142.88s)
insane. It's it's a pretty crazy pretty
[52:25] (3145.28s)
crazy by political scandals. This is a
[52:27] (3147.52s)
really lame one. Yeah. And it was done
[52:29] (3149.84s)
because Eric Adams stepped out of line
[52:31] (3151.92s)
and was willing to criticize unions and
[52:33] (3153.60s)
buck unions and he was for the police.
[52:36] (3156.48s)
He was basically a Democrat who was
[52:39] (3159.28s)
willing to take contrarian positions on
[52:40] (3160.80s)
a lot of things and they took him out
[52:42] (3162.64s)
with lawfare and that is now they got
[52:44] (3164.24s)
something much worse. Did you see Chuck
[52:45] (3165.92s)
Schumer and Bill Clinton put out ringing
[52:47] (3167.92s)
endorsements and congratulations to
[52:49] (3169.68s)
Mandi this morning which you know I
[52:52] (3172.08s)
think the Overton windows blown open on
[52:53] (3173.84s)
this. Now, I do think that the
[52:55] (3175.12s)
Democrats, to your point, Saxs, are
[52:57] (3177.28s)
embracing the socialist agenda as the
[53:00] (3180.24s)
new agenda that is clearly going to win
[53:02] (3182.08s)
the youthful vote for them. At a 70
[53:04] (3184.32s)
rating, they finally woken up to the
[53:06] (3186.40s)
fact that they can't have no agenda.
[53:08] (3188.72s)
They can't have nothing that they stand
[53:10] (3190.56s)
for, which is effectively my read on
[53:12] (3192.56s)
what's been the case for the last year
[53:13] (3193.84s)
and a half, two years for the Democratic
[53:15] (3195.28s)
Party. They now have something to stand
[53:17] (3197.12s)
for, which is these principles of
[53:18] (3198.88s)
socialism, which they call justice and
[53:20] (3200.64s)
equity and fairness and redistribution
[53:22] (3202.64s)
of capital and all these other features
[53:24] (3204.32s)
that were kind of rung out at the
[53:25] (3205.84s)
Mandani campaign and everyone embraced
[53:27] (3207.52s)
and ran to. The Democratic leadership
[53:29] (3209.44s)
perked up like a bunch of prairie dogs
[53:31] (3211.36s)
popping out of the ground like this is
[53:33] (3213.44s)
now going to be the way we're going to
[53:34] (3214.56s)
win. Great. We're all over it. Let's do
[53:36] (3216.56s)
it. They're accepting the inevitable.
[53:38] (3218.40s)
Look, the Democratic party right now is
[53:40] (3220.88s)
the Democratic establishment is in the
[53:43] (3223.04s)
process of being remade now the way that
[53:45] (3225.92s)
the Republican establishment was remade
[53:48] (3228.24s)
a decade ago. So remember a decade ago
[53:50] (3230.72s)
the Republican party was dominated by
[53:52] (3232.64s)
people like Dole and McCain and Romney
[53:56] (3236.40s)
and various Bush retreads and it was
[53:59] (3239.68s)
antiquated and out of touch and Trump
[54:01] (3241.60s)
came in there and remade it as a
[54:04] (3244.00s)
nationalist populist Republican party.
[54:06] (3246.96s)
And I think in a similar way, you now
[54:08] (3248.64s)
have these socialists who've come in in
[54:10] (3250.40s)
the Democratic party and they are
[54:11] (3251.68s)
remaking the Democratic party in the
[54:13] (3253.84s)
same way that that Trump replaced
[54:15] (3255.36s)
neoonservatism with populist
[54:17] (3257.28s)
nationalism. They are replacing
[54:19] (3259.04s)
neoliberalism with you could call it
[54:21] (3261.28s)
populist socialism. Yes. And those are
[54:24] (3264.00s)
the choices for the future. Let me tell
[54:25] (3265.52s)
you, you can basically go with you're
[54:27] (3267.92s)
going to have a a populist socialism in
[54:29] (3269.60s)
the Democratic party or you're going to
[54:30] (3270.88s)
have a populist nationalism in the
[54:32] (3272.56s)
Republican party. And to all my friends
[54:34] (3274.48s)
on the tech right, your choices in the
[54:36] (3276.64s)
future are not going to be neoliberalism
[54:38] (3278.08s)
or neoconservatism. It's going to be do
[54:40] (3280.00s)
you want republican nationalism or do
[54:41] (3281.76s)
you want democrat socialism? Those are
[54:43] (3283.76s)
going to be your choices. So I would get
[54:46] (3286.08s)
with the program here because your
[54:48] (3288.08s)
choices are MAGA or socialism. Which one
[54:50] (3290.48s)
do you want? I there is a third way. But
[54:52] (3292.16s)
Chimath, what are your thoughts here in
[54:54] (3294.00s)
terms of there is since we're here,
[54:56] (3296.64s)
there is actually a path out of here
[54:58] (3298.40s)
which is telling the truth to young
[55:00] (3300.16s)
people. Your college degree is not going
[55:02] (3302.80s)
to get you an amazingly high-paying job.
[55:05] (3305.28s)
What will get you an amazingly
[55:06] (3306.72s)
high-paying job is excellence,
[55:10] (3310.00s)
learning skills, and having radical
[55:12] (3312.32s)
self-reliance. Being reliant on the
[55:14] (3314.48s)
state, being reliant on the government
[55:16] (3316.16s)
is a path to nowhere. It's a path to
[55:18] (3318.40s)
pain and suffering. to constantly be
[55:20] (3320.96s)
looking for this guy to create a bread
[55:23] (3323.68s)
line in his own series of Costos, which
[55:26] (3326.08s)
is the stupidest thing I've ever heard.
[55:28] (3328.00s)
That he thinks that you're going to be
[55:29] (3329.92s)
able to create in New York City a series
[55:32] (3332.64s)
of government-run stores. Does anybody
[55:35] (3335.28s)
have any sense to the arc of history
[55:37] (3337.92s)
that he wants to create breadlines and
[55:39] (3339.92s)
and literally have the state provide you
[55:42] (3342.40s)
with food at this promised discount?
[55:44] (3344.72s)
It's absurd. Leave the state. Vote with
[55:47] (3347.84s)
your feet. go to Austin, go to Miami, go
[55:51] (3351.04s)
to another state where radical
[55:53] (3353.12s)
self-reliance and your ability to create
[55:55] (3355.36s)
your own opportunities and not get
[55:57] (3357.20s)
suckered into this debt spiral. That is
[55:59] (3359.68s)
the path out and that will be a new
[56:01] (3361.36s)
party that will emerge at some point.
[56:03] (3363.52s)
Some rational group of people are going
[56:04] (3364.96s)
to say get skills, don't get debt.
[56:07] (3367.36s)
Shimoth, what are your thoughts on all
[56:08] (3368.56s)
this? And then we'll move on to the next
[56:09] (3369.84s)
subject. I think the three of you guys
[56:11] (3371.60s)
are a little exaggerated to be quite
[56:13] (3373.20s)
honest. I mean, all the rhetoric sounds
[56:14] (3374.80s)
very clever, but I don't think it's
[56:16] (3376.24s)
accurate. I think the way that I see it
[56:18] (3378.16s)
is more nuanced than this. I think
[56:21] (3381.04s)
what's happened is that Zoron Mdani
[56:26] (3386.08s)
is very smart and is running a playbook
[56:29] (3389.28s)
to win like all politicians do based on
[56:32] (3392.56s)
a formula that has been winning in large
[56:36] (3396.64s)
cities for the past decade.
[56:40] (3400.00s)
And so I don't know if he really
[56:41] (3401.92s)
believes in this rhetoric or not, but
[56:43] (3403.68s)
it's worth noting that most of his
[56:46] (3406.00s)
platform is copied and pasted from
[56:48] (3408.64s)
London and Chicago.
[56:50] (3410.80s)
So the things that he's talked about,
[56:52] (3412.32s)
universal basic free meals, affordable
[56:54] (3414.48s)
housing, freezing the cost of
[56:56] (3416.00s)
transportation, public grocery stores,
[56:58] (3418.72s)
all three of you are reacting like these
[57:00] (3420.64s)
things were pulled out of thin air.
[57:01] (3421.92s)
They're not. These were the public
[57:04] (3424.08s)
platforms of the mayors who have won in
[57:07] (3427.68s)
London in Vienna in Havana, Cuba and in
[57:12] (3432.40s)
Chicago. So I think the reason why this
[57:16] (3436.24s)
works is that these are small pockets in
[57:18] (3438.80s)
the end of a large political spectrum.
[57:20] (3440.80s)
Even though New York feels big, it isn't
[57:23] (3443.52s)
that big in the context of the United
[57:25] (3445.20s)
States. And what you see is that when
[57:28] (3448.08s)
you try to take those policies in a
[57:30] (3450.08s)
city, take London,
[57:33] (3453.12s)
and then level it up at the national
[57:35] (3455.36s)
level, there's a quick schism that
[57:38] (3458.08s)
happens. So if you look at labor and
[57:40] (3460.56s)
labor trying to scale up the policies of
[57:42] (3462.56s)
a Sadi Khan in London throughout the
[57:44] (3464.88s)
country, Labor is now at the absolute
[57:48] (3468.56s)
the Labor Party the absolute lowest
[57:51] (3471.28s)
approval ratings in the UK of any party
[57:54] (3474.64s)
ever in this moment in time after an
[57:57] (3477.28s)
election. So I think what you're
[57:59] (3479.52s)
probably seeing is quite a sophisticated
[58:03] (3483.28s)
AB test. And I think that the political
[58:06] (3486.08s)
wingmen and the money people that want
[58:09] (3489.12s)
to be in control
[58:11] (3491.20s)
know how to run candidates on platforms
[58:14] (3494.08s)
that can win. And this is a clear
[58:16] (3496.48s)
winning strategy in left-leaning major
[58:19] (3499.20s)
metropolitan centers. So what I would
[58:22] (3502.08s)
say just to refine what you guys are
[58:23] (3503.84s)
saying is that this platform is not new.
[58:28] (3508.16s)
I've seen it for the last decade. I
[58:30] (3510.40s)
think you're going to see it for the
[58:31] (3511.52s)
next few decades. it doesn't work.
[58:35] (3515.76s)
And so you're going to see the same
[58:37] (3517.36s)
results in New York City that you've
[58:39] (3519.76s)
already seen in London, which has become
[58:42] (3522.56s)
unlivable sadly. One of my favorite
[58:44] (3524.56s)
cities in the world. If you don't
[58:46] (3526.08s)
believe it, go visit there.
[58:48] (3528.96s)
Chicago, which I haven't been to in 15
[58:51] (3531.52s)
years and will never go to. It's a
[58:53] (3533.52s)
disaster. So my my point is it just
[58:56] (3536.00s)
doesn't work. So you can win.
[58:59] (3539.04s)
It actually isn't very effective and it
[59:01] (3541.44s)
doesn't scale to the national level.
[59:03] (3543.44s)
When do you think it returns, Jimat?
[59:04] (3544.88s)
Like what's the reversal? Like do you
[59:06] (3546.72s)
think the reversal is everyone has some
[59:09] (3549.84s)
experience with crime? Is the reversal
[59:13] (3553.68s)
like the city's bankrupt? Is the
[59:15] (3555.52s)
reversal your house is burning. You
[59:16] (3556.88s)
don't have you're unemployed.
[59:18] (3558.56s)
Unemployment hits with water in the
[59:21] (3561.04s)
pipes. I'll tell you something which is
[59:23] (3563.20s)
my view. My view is much more basic.
[59:25] (3565.84s)
It's it's much less sophisticated than I
[59:28] (3568.08s)
think what you're saying. My extremely
[59:30] (3570.64s)
simpleton view of things is that humans
[59:33] (3573.68s)
swing in a pendulum-like fashion between
[59:36] (3576.80s)
poles and over multi-deade arcs you go
[59:41] (3581.60s)
between the thing that works to the
[59:43] (3583.28s)
thing that should work now because it's
[59:45] (3585.04s)
not the thing before. So, I suspect what
[59:47] (3587.84s)
happens is that New York takes a 40 or
[59:50] (3590.00s)
50-year journey and at some point it
[59:52] (3592.80s)
will look like New York of the 80s. And
[59:55] (3595.84s)
at that point, you'll have an Ed Cook-l
[59:58] (3598.40s)
like figure. You'll have a David
[59:59] (3599.68s)
Dinkens-like figure. You'll have a
[60:01] (3601.44s)
Michael Bloomberg like figure. You'll
[60:03] (3603.44s)
have the broken windows theory of
[60:04] (3604.96s)
policing reemerge as the cause celeb
[60:09] (3609.44s)
and the cycle will repeat itself. So, I
[60:12] (3612.00s)
tend to think that these things are just
[60:14] (3614.96s)
between two poles. We've spent a lot of
[60:16] (3616.96s)
time in this more independent
[60:19] (3619.20s)
self-reliance poll.
[60:21] (3621.76s)
A lot of people will want to experiment
[60:23] (3623.28s)
with this other thing. It just doesn't
[60:25] (3625.68s)
prove to work. And in the absence of
[60:28] (3628.32s)
something cataclysmically bad, I don't
[60:29] (3629.92s)
think it's going to change. Having lived
[60:31] (3631.44s)
there and experienced Dinkens and, you
[60:34] (3634.48s)
know, Cotch to Dinkens and then Giuliani
[60:36] (3636.72s)
to Bloomberg, I can tell you it's going
[60:38] (3638.96s)
to be reallying miserable to be in a
[60:42] (3642.00s)
Dinkens era. The city was chaos. It was
[60:44] (3644.64s)
dangerous. If you got off the wrong
[60:46] (3646.40s)
subway stop, it was going to result in
[60:48] (3648.88s)
you getting robbed at gun. They're gonna
[60:51] (3651.20s)
have to go through They're gonna have to
[60:52] (3652.16s)
go through that. That's London today.
[60:54] (3654.32s)
The the London subway cost $35 to go
[60:57] (3657.28s)
from the suburbs of London into the
[60:59] (3659.04s)
center of London. $35. Okay, that is
[61:02] (3662.88s)
ridiculous, right? You can't walk with
[61:05] (3665.44s)
your cell phone in central London
[61:06] (3666.96s)
anymore cuz there are more cell phone
[61:08] (3668.40s)
thefts than anything. There's knife
[61:10] (3670.40s)
attacks everywhere.
[61:12] (3672.56s)
Why is that?
[61:14] (3674.88s)
Well, you've had an agenda that was
[61:16] (3676.56s)
meant to be this socialist left-leaning
[61:18] (3678.96s)
let's resolve all these problems for
[61:20] (3680.48s)
everybody and it turns out to not work
[61:22] (3682.24s)
at a very basic factual level and every
[61:25] (3685.04s)
time it's been repeated over the last 15
[61:26] (3686.88s)
years, it still hasn't worked. So, if
[61:29] (3689.36s)
you think that this guy is going to be
[61:31] (3691.04s)
the exception that proves the rule in
[61:32] (3692.64s)
New York, I wish him the best of luck.
[61:34] (3694.96s)
But I would be short New York real
[61:36] (3696.88s)
estate. I think it's going to crash and
[61:38] (3698.96s)
burn and then we'll pick up the pieces
[61:40] (3700.88s)
and we'll reset. All right, let me pick
[61:42] (3702.88s)
up on on something Jamal said about U M
[61:46] (3706.00s)
what's his name? Zoran
[61:48] (3708.80s)
say the Zoron.
[61:50] (3710.80s)
Do you guys remember that movie Big and
[61:52] (3712.40s)
he would go to the arcade and wasn't it
[61:54] (3714.16s)
called Ask Zoron and you and Zoron?
[61:58] (3718.80s)
Ask Zoron, can I have free pizza? I'm
[62:01] (3721.36s)
going to run for New York mayor and I'm
[62:03] (3723.28s)
offering everybody free pizza and
[62:05] (3725.20s)
bagels. I'm going to win. Let me let me
[62:08] (3728.08s)
let me pick up on on what said about
[62:09] (3729.76s)
Zoran running an effective campaign
[62:11] (3731.60s)
because it is true. And I think one of
[62:14] (3734.00s)
his best moments was during a debate
[62:16] (3736.40s)
where the moderator asked the
[62:18] (3738.56s)
candidates, "Which foreign country would
[62:21] (3741.92s)
you visit first as mayor of New York
[62:24] (3744.32s)
City?" And the other candidates said,
[62:26] (3746.88s)
"Ukraine or Israel?" They're basically
[62:29] (3749.60s)
virtue signaling. And then they get to
[62:32] (3752.08s)
Mamani and he said, "Nowhere. I wouldn't
[62:34] (3754.48s)
go anywhere. I would stay in New York
[62:35] (3755.84s)
City. I would work for the people here.
[62:38] (3758.48s)
I wouldn't be going to foreign capitals.
[62:40] (3760.80s)
And he just crushed that answer. Now,
[62:43] (3763.68s)
his political solutions, his programs
[62:45] (3765.52s)
are not going to work. But the reason
[62:47] (3767.44s)
why he's catching fire is partly because
[62:50] (3770.32s)
he is putting New York first. The same
[62:52] (3772.56s)
way that President Trump is putting
[62:53] (3773.92s)
America first. The American people are
[62:56] (3776.32s)
sick and tired of the politicians
[62:59] (3779.12s)
focusing on far away places instead of
[63:01] (3781.92s)
their problems at home. Yes, it's like
[63:03] (3783.52s)
the Biden administration going off and
[63:06] (3786.00s)
defending the border of Ukraine while
[63:08] (3788.40s)
leaving the border of the United States
[63:10] (3790.00s)
wide open. And I think that even, you
[63:12] (3792.72s)
know, over the last couple weeks, you
[63:14] (3794.24s)
saw that substantial majorities of the
[63:17] (3797.28s)
American people did not want to get into
[63:19] (3799.12s)
a new Middle Eastern war. And I think
[63:22] (3802.32s)
this is the failure of both the
[63:23] (3803.92s)
neoliberals and the neoconservatives,
[63:25] (3805.84s)
which aren't that far apart. They are
[63:28] (3808.08s)
clinging to this postw World War II
[63:29] (3809.92s)
fantasy of America being this global
[63:32] (3812.24s)
empire where we have to be the global
[63:33] (3813.52s)
policeman while America back home is
[63:36] (3816.64s)
collapsing or at least rotting suffering
[63:38] (3818.88s)
and they suffering they want the
[63:40] (3820.72s)
politicians to be focusing on our
[63:42] (3822.40s)
problems back 100% and Karen Bass is
[63:45] (3825.36s)
that moment like if you need to
[63:47] (3827.12s)
understand that moment she's in Ghana
[63:49] (3829.28s)
she knew this place was going to go on
[63:50] (3830.80s)
fire she extends her trip she doesn't
[63:52] (3832.80s)
come back like just to the highest
[63:56] (3836.16s)
degree all All right. There's a lot of
[63:57] (3837.76s)
other stuff on um the docket. I I we
[64:00] (3840.80s)
could go two ways, but I I think
[64:02] (3842.32s)
Freeberg, I want to get you involved
[64:03] (3843.52s)
since I know you got to get to a
[64:04] (3844.64s)
meeting. Can we go to the AI story,
[64:06] (3846.40s)
which I think you would care most about,
[64:07] (3847.76s)
or you want to go Marcus Freeberg?
[64:09] (3849.28s)
Lady's choice. Freeberg, you choose. Or
[64:11] (3851.12s)
do you want me to do Science Corner real
[64:12] (3852.64s)
quick cuz then you guys can keep going.
[64:14] (3854.16s)
I love Science Corner. Absolutely. Uh
[64:16] (3856.64s)
ready guys, it's time for a bathroom
[64:18] (3858.16s)
break. I'm sorry. Science corner. Uh for
[64:21] (3861.36s)
It's time for Sax. Is that funny? Here
[64:22] (3862.96s)
we go. I don't get why that's funny.
[64:24] (3864.64s)
Two. One. Science. He's taking a leap. I
[64:29] (3869.04s)
think he's taking a leap in a bottle.
[64:30] (3870.88s)
Did he finish the tequila bottle?
[64:33] (3873.76s)
Sacks. Get back on camera. I don't get
[64:36] (3876.00s)
it. I need the head of science. He's
[64:38] (3878.88s)
drinking. That's it. When Science Corner
[64:41] (3881.60s)
starts, we all do a double of that allin
[64:44] (3884.32s)
premia premium tequila tequila. So
[64:47] (3887.52s)
smooth. It makes you forget about
[64:48] (3888.88s)
science corner, right? It even makes
[64:50] (3890.40s)
Science Corner less sufferable. I'm not
[64:53] (3893.04s)
feeling any pain. No pain. No pain.
[64:56] (3896.32s)
Zach, you know you're in charge of
[64:57] (3897.76s)
science for the government, right? I am.
[65:01] (3901.84s)
Under duress. Under duress. No, that's
[65:04] (3904.00s)
that's Michael Pratzios. I just do my
[65:05] (3905.68s)
two issues. I've got AI and crypto. All
[65:07] (3907.92s)
right. Listen. Shout out to our sponsor
[65:09] (3909.52s)
this week. Nicotine Chilled Mint. The
[65:12] (3912.40s)
reason my moderation is so on point. Are
[65:14] (3914.88s)
we doing Are we doing one of those with
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with I I'm doing it twice a day. I did
[65:19] (3919.04s)
two. So far in this episode, you're
[65:20] (3920.96s)
hooked on app now. Are we getting paid
[65:23] (3923.20s)
for that or are you getting paid for
[65:24] (3924.48s)
that? No, I thought use the promo code
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JCAL and get two extra free of the Nick.
[65:30] (3930.40s)
We're not doing any private promos on
[65:31] (3931.84s)
this show. We are. I have a private
[65:33] (3933.20s)
editor. He's got his own side deals.
[65:34] (3934.88s)
He's got his own side deals. Exactly.
[65:37] (3937.44s)
He's doing a side deal right now. He's
[65:38] (3938.88s)
doing his deal. It's called Wet Your
[65:40] (3940.32s)
Beak. If you want to make money, you
[65:41] (3941.92s)
share with the group. That's how it
[65:43] (3943.36s)
works. I'm just giving a shout out to my
[65:45] (3945.04s)
guy who drives our ratings. He's like
[65:47] (3947.52s)
the guy at the valet stand who's putting
[65:49] (3949.12s)
the tips in his own pocket instead of
[65:50] (3950.48s)
putting them in the kitty. It's called
[65:52] (3952.00s)
entrepreneurship. It's called
[65:54] (3954.08s)
entrepreneurship. You want your car out
[65:55] (3955.92s)
front. Nick, I want I want to bleep. I
[65:58] (3958.24s)
want to bleep and blur out all of that
[65:59] (3959.76s)
stuff. Yeah. Pixelate this. Just
[66:01] (3961.28s)
pixelate it. You guys want to talk about
[66:03] (3963.12s)
age reversal? Okay. Yeah, let's talk
[66:05] (3965.20s)
about age reversal while I hit this. As
[66:09] (3969.36s)
is the case with most cutting edge
[66:11] (3971.28s)
science nowadays, it is coming out of
[66:13] (3973.04s)
China, not out of the United States. So
[66:14] (3974.72s)
this research study was done on age
[66:17] (3977.68s)
reversal. We've talked about using these
[66:19] (3979.44s)
Yamanaka factors to change the epigenome
[66:22] (3982.48s)
of cells and make them youthful again.
[66:24] (3984.72s)
In this particular case, the study was
[66:26] (3986.80s)
done on engineering stem cells that were
[66:31] (3991.36s)
then placed into the bodies of monkeys
[66:33] (3993.60s)
and reverse the age of these monkeys on
[66:35] (3995.52s)
the order of what would be the
[66:36] (3996.56s)
equivalent in humans of several decades
[66:38] (3998.72s)
of age reversal. It's a pretty amazing
[66:40] (4000.56s)
and astounding result. So cell therapy
[66:43] (4003.04s)
is the modality that would be kind of
[66:44] (4004.96s)
employed at scale for humans to utilize
[66:47] (4007.20s)
this tool. There's a lot of work that's
[66:48] (4008.88s)
been done in age reversal in mice, some
[66:51] (4011.52s)
work in primates, some work in humans
[66:54] (4014.08s)
now, and there's obviously a few
[66:55] (4015.20s)
startups doing this based on the studies
[66:56] (4016.56s)
and research around Yamanaka factors. So
[66:59] (4019.76s)
kind of changing the epigenome and
[67:02] (4022.24s)
effectively getting cells to act
[67:03] (4023.84s)
youthful again. In this particular case,
[67:07] (4027.12s)
this team focused on a specific gene
[67:11] (4031.60s)
that it is known that when this gene is
[67:13] (4033.68s)
expressed or overexpressed, meaning the
[67:15] (4035.36s)
gene is turned on, it actually creates a
[67:18] (4038.32s)
whole bunch of signaling molecules,
[67:20] (4040.56s)
little tiny molecules that then get
[67:23] (4043.12s)
absorbed by other cells and tell those
[67:25] (4045.76s)
cells to start to act young again and
[67:27] (4047.60s)
reset those cells. And that gene is
[67:29] (4049.60s)
called FOX03.
[67:31] (4051.60s)
So what this research team did is they
[67:33] (4053.44s)
took stem cells
[67:35] (4055.36s)
And they engineered them using crisper
[67:38] (4058.16s)
to get them to overexpress FOX3. And so
[67:41] (4061.60s)
now these cells start making this FOX3
[67:43] (4063.84s)
protein. And when that cell starts
[67:45] (4065.60s)
making that FOX3 protein, it actually
[67:47] (4067.84s)
makes a whole bunch of other molecules,
[67:50] (4070.00s)
little small proteins, little molecules.
[67:52] (4072.80s)
They then get packaged up into what are
[67:54] (4074.88s)
called exoomes. These are like little
[67:56] (4076.64s)
packets that get spun out of the cell
[67:58] (4078.80s)
and they get absorbed by other cells and
[68:00] (4080.64s)
trigger those cells, we don't know how,
[68:02] (4082.32s)
we don't know why necessarily to start
[68:04] (4084.08s)
acting young again. So they engineered
[68:06] (4086.48s)
these stem cells, overexpressed FOX03
[68:09] (4089.52s)
and then put these stem cells in these
[68:11] (4091.12s)
monkeys. And these monkeys were kind of
[68:12] (4092.96s)
the equivalent of being 60 years old.
[68:16] (4096.40s)
And then they looked at what happened.
[68:18] (4098.64s)
So what happened? Well, they looked at
[68:20] (4100.56s)
tissue, they looked at blood, and they
[68:22] (4102.24s)
did MRIs and scans of the brain. And
[68:24] (4104.96s)
what they found is that the monkeykey's
[68:26] (4106.48s)
brains effectively started to get
[68:28] (4108.16s)
completely rewired and act like young
[68:30] (4110.64s)
brains again. They were able to increase
[68:32] (4112.64s)
their memory, increase their
[68:33] (4113.76s)
responsiveness. Their age related
[68:35] (4115.92s)
atrophy reversed. So their brains
[68:37] (4117.68s)
actually grew. Uh their bone started to
[68:40] (4120.48s)
grow, their muscle started to grow,
[68:42] (4122.72s)
their blood cells started to reverse
[68:44] (4124.56s)
aging signals. So across bone
[68:46] (4126.88s)
degeneration reversed. They looked at 61
[68:49] (4129.12s)
different tissues from 10 distinct
[68:50] (4130.88s)
systems in the uh the bodies of these
[68:53] (4133.36s)
monkeys after they received the stem
[68:54] (4134.80s)
cell treatment and uh 54% of the tissue
[68:58] (4138.72s)
examined showed reversal of age. In the
[69:01] (4141.04s)
case of lungs they saw in monkeys it was
[69:03] (4143.04s)
a four-year age reversal which is 12
[69:05] (4145.20s)
years in humans. Skin reversed by 6
[69:07] (4147.60s)
years which is the equivalent of 18
[69:09] (4149.04s)
years in humans. So imagine a
[69:11] (4151.44s)
60-year-old person taking this suddenly
[69:13] (4153.28s)
they're 40 years old in their skin.
[69:15] (4155.76s)
skeletal muscle went by 5 years in the
[69:18] (4158.56s)
monkeys, which is the equivalent of 15
[69:20] (4160.16s)
years in humans. So imagine going from
[69:22] (4162.48s)
being 60 years old to having the body of
[69:24] (4164.16s)
a 45year-old in terms of muscles, the
[69:26] (4166.72s)
spleen, the brain, all across these
[69:29] (4169.92s)
different systems. They saw significant
[69:32] (4172.00s)
signals of age reversal. And then they
[69:34] (4174.64s)
identified these little exosomes. These
[69:36] (4176.08s)
are like little sacks that are spun out
[69:38] (4178.48s)
of the cell and then they go into other
[69:41] (4181.12s)
cells and they start to trigger all of
[69:42] (4182.64s)
this age reversal cascade that happens.
[69:45] (4185.52s)
And by the way, they saw no side
[69:46] (4186.88s)
effects. They saw no negative health
[69:48] (4188.40s)
effect. There was no increase in cancer.
[69:50] (4190.16s)
These are the sorts of things you
[69:51] (4191.12s)
typically look for. And in tissue, in uh
[69:54] (4194.96s)
blood cells, in MRI, across the board,
[69:57] (4197.68s)
they saw age reversal. So, it was a
[69:59] (4199.92s)
really kind of incredible result. And I
[70:01] (4201.68s)
think that it opens up the door for this
[70:03] (4203.20s)
idea of using cell therapy based on stem
[70:05] (4205.68s)
cells that are engineered to be injected
[70:07] (4207.84s)
into blood to actually reverse aging in
[70:10] (4210.40s)
humans. And I think that we should
[70:11] (4211.60s)
expect over the next couple of years
[70:13] (4213.44s)
these sorts of trials to kind of begin
[70:15] (4215.84s)
to see if we can see similar results.
[70:17] (4217.36s)
There's a lot of background work by the
[70:19] (4219.12s)
way in FOX3 in this particular gene. A
[70:20] (4220.88s)
lot of background work in engineering
[70:22] (4222.08s)
stem cells. A lot of background work
[70:24] (4224.48s)
obviously in Yamanaka factor and other
[70:26] (4226.08s)
age reversal that predicated this. But
[70:28] (4228.24s)
this particular paper, I think, put a
[70:29] (4229.76s)
lot of things together and showed some
[70:30] (4230.96s)
some pretty nice results. Do you think
[70:32] (4232.80s)
Yamanaka factors
[70:35] (4235.84s)
are the thing still, or do you think
[70:37] (4237.92s)
that there's going to be a lot of other
[70:40] (4240.64s)
genetic manipulations that
[70:43] (4243.84s)
advance age reversal before Yamanaka
[70:46] (4246.00s)
factors do? The latter is more of this
[70:48] (4248.88s)
what we call like a complex cascade of
[70:51] (4251.20s)
proteins and molecules that we haven't
[70:52] (4252.88s)
identified yet, that we don't know how
[70:54] (4254.24s)
or why they do what they do. That's what
[70:55] (4255.76s)
we just saw with this study. We don't
[70:57] (4257.60s)
know what's in those exosome sacks and
[71:00] (4260.08s)
we don't know why they cause other cells
[71:02] (4262.88s)
to reverse their age. We don't quite
[71:04] (4264.72s)
understand the mechanism. It's really
[71:06] (4266.08s)
hard. So I think that this becomes sort
[71:09] (4269.12s)
of call it an easier path. Whereas with
[71:11] (4271.84s)
the Yamanaka factors, if you apply too
[71:14] (4274.00s)
much, the cells don't just rejuvenate,
[71:16] (4276.88s)
they can become, you know, cancerous.
[71:18] (4278.96s)
Let me let me ask it more directly.
[71:21] (4281.36s)
Other than the novelty of all of this,
[71:24] (4284.16s)
do you think there will be something in
[71:26] (4286.24s)
the market, some injectable or something
[71:29] (4289.04s)
that's average people like us can take
[71:31] (4291.68s)
in the next 5 or 10 years to solve a
[71:34] (4294.88s)
problem that we have or to live longer
[71:37] (4297.04s)
with higher health? Yes, there are
[71:38] (4298.96s)
clinicals underway right now and I know
[71:42] (4302.24s)
of the clinical trials that are underway
[71:44] (4304.16s)
like in stage three, you're saying phase
[71:46] (4306.16s)
three clinical trials early stage one in
[71:48] (4308.24s)
humans like 1A. Yeah, very early. So
[71:52] (4312.00s)
maybe a decade from now. I think that's
[71:54] (4314.08s)
right. Well, look, I mean, let's see
[71:55] (4315.28s)
what the FDA does, but the FDA is trying
[71:57] (4317.28s)
to accelerate outcomes here, as you
[71:58] (4318.88s)
know. Blake Buyers came to my house for
[72:00] (4320.96s)
poker.
[72:02] (4322.64s)
He's sponsoring a study at UCSF, which I
[72:05] (4325.44s)
thought was incredible. You know, the
[72:07] (4327.36s)
gene that allows Donald Trump to sleep
[72:10] (4330.16s)
four hours. Yeah, they've isolated that
[72:12] (4332.40s)
gene. Yeah. Clinton had that gene, too.
[72:15] (4335.28s)
and Blake is sponsoring a trial to
[72:18] (4338.96s)
basically
[72:20] (4340.56s)
edit a handful of subjects who want that
[72:23] (4343.44s)
gene to see if they can sleep 4 hours
[72:26] (4346.64s)
and be rested. So, I don't know if you
[72:28] (4348.72s)
guys know this and he explained this to
[72:30] (4350.16s)
me and it makes so much sense, but I
[72:31] (4351.84s)
didn't realize it. We sleep 20 years of
[72:35] (4355.68s)
our life we're sleeping. Yeah. And so,
[72:37] (4357.68s)
if you can cut it in half, you get an
[72:39] (4359.68s)
extra 10 years of living. If you think
[72:42] (4362.16s)
about it like that way, that is an
[72:43] (4363.84s)
incredible reason to, you know, do the
[72:46] (4366.80s)
gene editing to get the Trump gene.
[72:49] (4369.76s)
But the the thing that nobody knows what
[72:51] (4371.92s)
the Well, this is all day and play poker
[72:55] (4375.28s)
all night. The thing that they don't
[72:56] (4376.96s)
know is, you know, Trump and Clinton
[72:59] (4379.52s)
were born with that gene from day one.
[73:01] (4381.44s)
And what they don't know is what could
[73:03] (4383.04s)
go wrong if you injected and manipulated
[73:05] (4385.04s)
yourself in the at the age of 30 or 40
[73:06] (4386.88s)
or 50. Yeah, of course.
[73:09] (4389.52s)
But wouldn't it be incredible if you
[73:11] (4391.12s)
could all of a sudden only sleep four or
[73:12] (4392.88s)
five hours and be completely rested?
[73:15] (4395.28s)
Well, do you remember at the All-In
[73:16] (4396.88s)
Summit Vicky Pollock? She gave a talk on
[73:18] (4398.64s)
this gene. That was her opening piece. I
[73:20] (4400.56s)
mean, that's definitely in site lab. I
[73:22] (4402.32s)
know there's a bunch of labs working on
[73:23] (4403.52s)
that exact gene target, but this this
[73:25] (4405.44s)
was just amazing because this is a cell
[73:26] (4406.96s)
therapy. So, you can kind of think about
[73:28] (4408.32s)
getting an injection done. You get an
[73:30] (4410.40s)
infusion done of these stem cells and
[73:32] (4412.64s)
all of a sudden your skin is 20 years
[73:34] (4414.72s)
younger. It's incredible.
[73:37] (4417.44s)
Like my actually plays out your
[73:39] (4419.76s)
foreskin. Yeah, if you have it.
[73:42] (4422.64s)
I kept it cuz it's like it's like a
[73:44] (4424.40s)
sheath. It's like a sheath for the
[73:45] (4425.92s)
anaconda.
[73:47] (4427.60s)
Like a sleeping bag. It's a It's like a
[73:50] (4430.16s)
sleeping bag.
[73:55] (4435.12s)
Free. Okay. Very good. It's like a man
[73:58] (4438.56s)
sleeping in a sleeping bag. Sleeping
[74:03] (4443.92s)
with like a little hood. We're back,
[74:06] (4446.00s)
folks. We're back. It's been a strange
[74:08] (4448.56s)
six months, but the pot is officially
[74:10] (4450.64s)
backed. We are so back. The NASDAQ's at
[74:14] (4454.40s)
an alltime high. We've got IPOs. The
[74:17] (4457.04s)
wrath of Lena's over. He's pandering
[74:19] (4459.28s)
with his dog. Science Corn is back.
[74:21] (4461.68s)
Sachs is double fisting. I'm double
[74:23] (4463.84s)
fisting. I mean, tequila is so good. We
[74:27] (4467.04s)
got to get some bottles for Vegas this
[74:28] (4468.48s)
weekend. We got to get you a double
[74:29] (4469.76s)
straw. Hey, David, can you send somebody
[74:31] (4471.92s)
to the order to my plane with some
[74:33] (4473.92s)
bottles or no? Yeah, please. Do you have
[74:36] (4476.80s)
an extra few? I I only have this one at
[74:39] (4479.76s)
home, but we have some. We have them
[74:41] (4481.44s)
here. Actually, Freeberg, I I brought
[74:43] (4483.92s)
two bottles to the Bay Area, so I can
[74:46] (4486.96s)
take them from my house. I'll bring
[74:48] (4488.16s)
them. Yeah. Also, uh Nick, just take a
[74:50] (4490.40s)
note. Can I get one of those bottles
[74:51] (4491.76s)
just deliver it to United Flight 376
[74:55] (4495.92s)
uh to Vegas from I'll be in C2C terminal
[75:02] (4502.88s)
If you could send it to the Centurion
[75:04] (4504.48s)
Lounge.
[75:06] (4506.48s)
I just got upgraded to the Centurion
[75:08] (4508.16s)
Lounge. Um, also, [ __ ] the Centurion.
[75:10] (4510.96s)
Did you get the Did you Did you follow
[75:12] (4512.48s)
up with the guys from Robin Hood to get
[75:13] (4513.92s)
the gold card? You didn't get a gold
[75:16] (4516.32s)
card yet? Well, he was the only one.
[75:18] (4518.00s)
Vlad texted me and said, "Hey,
[75:19] (4519.84s)
Freeberg's the only He's the only best
[75:21] (4521.68s)
without it." So, the only get one.
[75:24] (4524.72s)
Absolutely. Your invite got lost in the
[75:26] (4526.40s)
mail. Gold card. Oh, look. I have mine
[75:28] (4528.80s)
here. Here I have mine. But you know
[75:30] (4530.48s)
where this came from? This came from
[75:33] (4533.76s)
the startup that I funded that got
[75:35] (4535.52s)
acquired by Robin Hood. So, those guys
[75:37] (4537.36s)
did a great job. So, now you got double
[75:38] (4538.64s)
Robin Hood shares. You got it from that
[75:40] (4540.40s)
from Launchp and Sid. Great job. Great
[75:42] (4542.80s)
job. It's it's an it's a great app by
[75:44] (4544.80s)
the way. And if you move your money into
[75:46] (4546.96s)
there, they give you and your crypto,
[75:48] (4548.24s)
they give you like 102%. And shout out
[75:50] (4550.32s)
to shout out to Brian Armstrong. I'm
[75:53] (4553.20s)
getting my Coinbase Bitcoin card. Oh,
[75:57] (4557.76s)
they have a coin. Oh, I thought you were
[75:59] (4559.28s)
saying you were watching the all You get
[76:01] (4561.44s)
4% You get 4% cash back in Bitcoin. I
[76:05] (4565.12s)
mean, wow. I'm I'm going to buy a
[76:07] (4567.28s)
another Global 7500. Like $7 million.
[76:10] (4570.72s)
You're now happy. I mean, that was the
[76:12] (4572.80s)
saddest day of your life. You got rid of
[76:14] (4574.64s)
the 7500.
[76:16] (4576.80s)
I mean, that plane is expensive. So,
[76:19] (4579.36s)
it's not like Jamat, when are you going
[76:20] (4580.80s)
back from Italy? He's like, I'm coming
[76:22] (4582.08s)
back on this date. I was like, okay, I'm
[76:23] (4583.28s)
coming out 10 days before that. I'm
[76:24] (4584.72s)
flying home with you. I booked my trip
[76:27] (4587.52s)
on Jamat's return flight on the 7500.
[76:30] (4590.16s)
That is a beautiful plane. So, I I
[76:32] (4592.32s)
actually flew on that recently cuz my
[76:34] (4594.08s)
plane broke down and I charged a 7500
[76:36] (4596.48s)
and man, that is a gorgeous plane. It's
[76:38] (4598.96s)
a great plane. Did you see the It's a
[76:41] (4601.36s)
little overkill to be quite honest with
[76:43] (4603.04s)
you. It was It was a little overkill. My
[76:45] (4605.44s)
favorite was that, you know, you have
[76:46] (4606.80s)
two tables for dinner and there's a leaf
[76:49] (4609.20s)
that goes in between the two and you
[76:50] (4610.96s)
make a full table for six.
[76:54] (4614.64s)
My lord. By the way, you guys, do you
[76:56] (4616.88s)
know how good Starlink is on these
[76:58] (4618.40s)
airplanes now? Incredible. I flew to
[77:00] (4620.80s)
Toronto and then Toronto back to LA. I
[77:04] (4624.56s)
didn't miss a beat. I had Starlink. I
[77:08] (4628.00s)
was doing Zooms. I was making phone
[77:10] (4630.08s)
calls. I have never been more
[77:12] (4632.96s)
productive. And then I was just watching
[77:14] (4634.64s)
YouTube. And it's like I was on the
[77:16] (4636.32s)
ground in my living room. It's crazy. I
[77:18] (4638.80s)
think the only thing that you should be
[77:21] (4641.36s)
searching for when you're flying is is
[77:24] (4644.32s)
it Argus Platinum? Yes. And does it have
[77:26] (4646.72s)
Starlink? I It's the only thing I I was
[77:29] (4649.76s)
on the first one. I was on Elon's
[77:31] (4651.44s)
playing with it when he first put it on
[77:32] (4652.88s)
and it was nuts. He was playing Diablo
[77:35] (4655.76s)
and I'm watching Netflix at the same
[77:37] (4657.60s)
time. No latency. I'm watching 4K
[77:41] (4661.28s)
Netflix. I was streaming. It was
[77:43] (4663.20s)
bonkers. And United, the entire fleet's
[77:46] (4666.32s)
going to have my preferred airline. Uh I
[77:49] (4669.52s)
think it's like this could change
[77:50] (4670.88s)
productivity. You think about the flight
[77:52] (4672.48s)
to the Middle East or Singapore, Asia,
[77:55] (4675.68s)
Japan, when I go skiing in January with
[77:57] (4677.84s)
Tucker, all that is now going to be
[78:01] (4681.04s)
productive hours and then we're not
[78:02] (4682.72s)
going to sleep. So, it's like you get
[78:04] (4684.40s)
two careers. You could be a podcaster
[78:06] (4686.00s)
and a venture capitalist. That's it.
[78:07] (4687.92s)
That's crazy. All right. The stock
[78:09] (4689.92s)
market is nearing a record high. In
[78:12] (4692.08s)
fact, Uber hit a record high today, just
[78:14] (4694.64s)
two months after the big uh Trump tariff
[78:18] (4698.48s)
chaos and the market going down 15 30%.
[78:21] (4701.44s)
We've had a full recovery from Trump's
[78:24] (4704.56s)
liberation day tariff announcement.
[78:27] (4707.52s)
Yeah, market might even be up 1 2 3 4%.
[78:31] (4711.04s)
Since then, they called it a stunning
[78:33] (4713.76s)
turnaround at your favorite network.
[78:36] (4716.40s)
Sachs CNN called it a stunning
[78:39] (4719.44s)
turnaround. Lots of different things are
[78:41] (4721.92s)
contributing to this. Obviously, you got
[78:43] (4723.84s)
the ceasefire in the Middle East. You've
[78:46] (4726.56s)
got the trade deals with UK and a truce
[78:49] (4729.76s)
with China. NASDAQ 100 is at an all-time
[78:55] (4735.84s)
high. You know, there's there's also
[78:58] (4738.24s)
with these tech companies the perfect
[79:00] (4740.48s)
storm. M&A is back on the menu. People
[79:02] (4742.64s)
are buying companies again. That equals
[79:04] (4744.32s)
growth. People are continuing to lay off
[79:06] (4746.32s)
the dead weight. So, you're having
[79:07] (4747.84s)
earnings rise. And then the product
[79:09] (4749.92s)
announcements coming out of big tech
[79:12] (4752.64s)
which I think you sort of alluded to
[79:14] (4754.08s)
that American companies are firing on
[79:15] (4755.60s)
all cylinders earlier in the program.
[79:17] (4757.12s)
Chimath all of this is amazing. The AI
[79:20] (4760.56s)
trade is on. So this all equals though.
[79:23] (4763.92s)
However, big controversy Freedberg.
[79:28] (4768.40s)
What's the point of cutting rates if
[79:30] (4770.40s)
we're at an all-time high and uh
[79:32] (4772.88s)
employment is somewhat full? There are
[79:35] (4775.28s)
some um concerns there. We'll get into
[79:37] (4777.60s)
it, but what are your thoughts here on
[79:40] (4780.00s)
the market and then you know Trump is
[79:42] (4782.48s)
going hard at pal saying he's going to
[79:44] (4784.48s)
fire him saying he's an idiot he's
[79:46] (4786.08s)
stupid blah blah blah this is the guy he
[79:47] (4787.60s)
placed by the way so freeber what are
[79:49] (4789.20s)
your thoughts here and then we'll go to
[79:50] (4790.48s)
you I'm not sure that equity market
[79:53] (4793.68s)
prices going up is necessarily
[79:57] (4797.60s)
the best indicator of where we are
[80:00] (4800.64s)
because we did have negative GDP growth
[80:02] (4802.80s)
in Q1 arguably there was a lot of tariff
[80:05] (4805.68s)
blipping happening in Q1 one, but
[80:08] (4808.48s)
there's a real question on this GDP
[80:11] (4811.20s)
growth outlook for the rest of this
[80:12] (4812.80s)
year, and we're still running a modest
[80:15] (4815.36s)
inflation. When you combine those two,
[80:18] (4818.08s)
and you combine the government deficit
[80:20] (4820.00s)
right now, there's an argument to be
[80:22] (4822.32s)
made that we're actually seeing assets
[80:24] (4824.64s)
inflate, not necessarily.
[80:27] (4827.20s)
So, multiples are going up. M I think
[80:29] (4829.60s)
that may actually be a result of kind of
[80:32] (4832.08s)
an indication that we expect rates to
[80:34] (4834.16s)
cut that we expect to increase the money
[80:36] (4836.88s)
supply and um again remember when you
[80:40] (4840.56s)
end up in this debt death spiral
[80:43] (4843.28s)
all assets go up in value they all
[80:45] (4845.92s)
increase because you start to flood
[80:47] (4847.84s)
things with cash and as you flood things
[80:49] (4849.52s)
with printed money when you start to
[80:51] (4851.04s)
print more money everything goes up in
[80:52] (4852.56s)
price. So, one argument here might be
[80:55] (4855.12s)
that we're actually not necessarily
[80:56] (4856.64s)
seeing an improvement in the fundamental
[80:59] (4859.12s)
business environment. We're not seeing
[81:01] (4861.12s)
record revenue across the board. As we
[81:03] (4863.12s)
talked about last week, the S&P 493 are
[81:06] (4866.08s)
really struggling relative to the uh MAG
[81:10] (4870.72s)
and there's a really kind of
[81:12] (4872.24s)
questionable outlook ahead for the vast
[81:15] (4875.20s)
majority of equity cap out there. So I I
[81:18] (4878.40s)
would say that there might be a bit of
[81:19] (4879.52s)
an inflationary aspect to this, not
[81:21] (4881.28s)
necessarily just a pure like business
[81:23] (4883.36s)
performance upgrade that that we're
[81:25] (4885.12s)
saying. All right, we got Dr. Doom's
[81:26] (4886.48s)
position. I mean that respectfully. Uh
[81:28] (4888.16s)
but give us the other side, Shimoth, if
[81:29] (4889.68s)
you have one. Yeah. I mean, look, if I
[81:31] (4891.76s)
was a betting man, which I am, you are.
[81:36] (4896.00s)
I think the the free money trade here is
[81:39] (4899.36s)
to be levered long, I think you can make
[81:41] (4901.84s)
a lot of money right now. Why is that?
[81:45] (4905.20s)
The first chart I want to show you is
[81:47] (4907.44s)
the velocity of money. So what is this?
[81:49] (4909.84s)
This is the M2 money supply. It's a
[81:51] (4911.92s)
measure of how much money is circulating
[81:55] (4915.04s)
in the economy. What this shows is the
[81:57] (4917.44s)
impact of rates where we were able to
[82:00] (4920.48s)
start to slow down and contract the
[82:02] (4922.48s)
money supply.
[82:04] (4924.24s)
But then as you saw as the economy
[82:06] (4926.72s)
stabilized and people started to project
[82:08] (4928.56s)
was possible in 18 to 24 months, you
[82:11] (4931.44s)
started to see money coming back into
[82:13] (4933.12s)
the system. That's what has given a bid
[82:16] (4936.96s)
to the equity markets. That's great
[82:18] (4938.80s)
because a percentage of this capital
[82:21] (4941.92s)
gets allocated into things that can
[82:23] (4943.84s)
generate a superior return to money
[82:26] (4946.24s)
markets. And that's where the bid to the
[82:28] (4948.72s)
equity market came from. So you would
[82:31] (4951.52s)
say, well, where does it go from here?
[82:33] (4953.44s)
The next chart, Nick, if you just give
[82:34] (4954.96s)
the second one, is look at how much
[82:36] (4956.88s)
money, and again, you can just look at
[82:38] (4958.00s)
the last five years. Look at how much
[82:39] (4959.76s)
money is sitting in money market funds.
[82:44] (4964.16s)
And what this starts to show you is you
[82:46] (4966.56s)
have trillions and trillions of dollars
[82:48] (4968.48s)
of dry powder on the sidelines that will
[82:52] (4972.24s)
need to find a home.
[82:55] (4975.12s)
I think that Jerome Powell is in an
[82:58] (4978.24s)
increasingly untenuous situation
[83:01] (4981.52s)
because he will be looked at as
[83:04] (4984.16s)
politicizing the office of the Federal
[83:06] (4986.00s)
Reserve. There is enough data that can
[83:09] (4989.44s)
justify cutting rates. If you cut rates,
[83:12] (4992.88s)
and we've talked about this before, two
[83:15] (4995.28s)
things will happen. Number one is people
[83:17] (4997.28s)
will take some amount of money out of
[83:20] (5000.24s)
the money market funds because they will
[83:22] (5002.64s)
want to go and seek superior returns
[83:24] (5004.88s)
somewhere else. It will increase the
[83:27] (5007.44s)
velocity of money at the same time. You
[83:29] (5009.68s)
put those two things together, that is a
[83:31] (5011.36s)
bid to the equity markets. And so if
[83:35] (5015.28s)
we're at an all-time high today with
[83:37] (5017.52s)
rates at 4 and a.5% and Powell back
[83:41] (5021.92s)
against the wall to cut,
[83:44] (5024.40s)
the only road from here is probably up.
[83:48] (5028.80s)
And so you could see this thing get
[83:51] (5031.52s)
rerated quite aggressively. And then the
[83:54] (5034.56s)
question is, do you do it where you
[83:56] (5036.96s)
manage your risk and you're short some
[83:58] (5038.88s)
stuff or do you just say, you know what,
[84:01] (5041.12s)
I'm just going to take it all up and
[84:03] (5043.20s)
take most of my shorts off and let the
[84:04] (5044.80s)
thing go. I think that if Powell starts
[84:06] (5046.56s)
an aggressive cutting program, either
[84:09] (5049.60s)
because he has to or because he's trying
[84:12] (5052.08s)
to keep his job, I mean, man, you could
[84:14] (5054.96s)
see the S&P at 7,000
[84:18] (5058.40s)
very quickly.
[84:19] (5059.92s)
Sachs, uh, yeah, obviously you're a
[84:23] (5063.52s)
member of the administration, so I don't
[84:26] (5066.32s)
want to make sure people know you're not
[84:27] (5067.60s)
speaking for the administration, but um,
[84:30] (5070.32s)
I guess your personal thoughts
[84:32] (5072.96s)
on the markets here and what the right
[84:35] (5075.92s)
thing for Powell to do is because he
[84:38] (5078.24s)
does seem to be in an untenable
[84:39] (5079.76s)
position. He's being criticized super
[84:41] (5081.68s)
heavily. He might even have his
[84:43] (5083.60s)
replacement announced, you know, before
[84:45] (5085.92s)
his term is even up in the spring. And
[84:49] (5089.28s)
gosh, you know what? What is the reason
[84:51] (5091.28s)
for Powell to cut rates if everything's
[84:54] (5094.32s)
going so well and then he would look
[84:56] (5096.08s)
like maybe he poured gasoline on what
[84:58] (5098.32s)
appears to be, you know, a pretty robust
[85:03] (5103.52s)
economic fire right now?
[85:06] (5106.56s)
That's not the right way to look at it.
[85:07] (5107.92s)
The question is just what's the
[85:09] (5109.20s)
inflation rate relative to interest
[85:10] (5110.56s)
rates? And inflation has come down all
[85:12] (5112.64s)
the way to I think 2.4%. So it's way
[85:15] (5115.20s)
down. We're back to a two handle. I
[85:17] (5117.60s)
think inflation has largely been licked
[85:19] (5119.76s)
and it's time to start lowering interest
[85:21] (5121.52s)
rates and that will be good for the
[85:23] (5123.04s)
economy. There's no reason for rates to
[85:24] (5124.96s)
be as high as they are. It'll also be
[85:26] (5126.32s)
good in terms of financing our debt. So,
[85:28] (5128.88s)
I think that it is time for Pal to act
[85:31] (5131.28s)
and I think he's being overly cautious
[85:34] (5134.00s)
here. He's being slow here. Just like he
[85:35] (5135.92s)
was slow to raise at the beginning of
[85:37] (5137.44s)
the cycle, he's being slow to cut at the
[85:39] (5139.52s)
end of the cycle. And again, I think
[85:42] (5142.24s)
he's just afraid of being proven wrong
[85:43] (5143.68s)
here. But I think that the timing is
[85:45] (5145.52s)
right to start the cuts. Now to go back
[85:48] (5148.32s)
to the question of how do you trade this
[85:50] (5150.64s)
market? I mean I have a very simple idea
[85:53] (5153.44s)
which is anytime that the media tries to
[85:56] (5156.64s)
sew doom or spread panic about the Trump
[86:00] (5160.80s)
administration's policies that's a good
[86:02] (5162.48s)
time to buy. We saw this when Jim Kramer
[86:04] (5164.96s)
started touting the Black Monday that
[86:06] (5166.64s)
was coming and Larry Summers has been
[86:09] (5169.12s)
out there constantly with his TDS.
[86:11] (5171.36s)
Whenever the media puts these experts on
[86:13] (5173.84s)
to tell you that there's chaos and doom,
[86:16] (5176.96s)
that has proven to be an excellent time
[86:18] (5178.72s)
to buy the dip. So, I think this is a
[86:21] (5181.36s)
very easy way to trade the Trump
[86:22] (5182.80s)
presidency. I mean, the conspiracy
[86:24] (5184.96s)
corner folks are like, Trump's doing
[86:26] (5186.48s)
this on purpose. You know, the
[86:28] (5188.00s)
volatility in the market is helpful in
[86:29] (5189.76s)
some way, but it does seem to be the
[86:31] (5191.52s)
playbook. I'm calling this I don't mean
[86:33] (5193.76s)
this in a derogatory way. Again, I don't
[86:35] (5195.68s)
like the term taco because I think
[86:37] (5197.44s)
that's trying to go Trump into or or
[86:41] (5201.60s)
frame what he's doing as not thoughtful.
[86:43] (5203.60s)
I think it is thoughtful. I think he
[86:44] (5204.88s)
does shock and bore. He does something
[86:46] (5206.72s)
shocking. He pins his negotiation to
[86:49] (5209.44s)
that. Whether it's what's happening in
[86:51] (5211.12s)
Iran, whether it's what's happening with
[86:53] (5213.04s)
immigration or what happened with
[86:55] (5215.36s)
tariffs, he starts with a bang and then
[86:57] (5217.28s)
he falls back to a reasonable position
[86:59] (5219.20s)
that the markets can digest. So, you
[87:01] (5221.36s)
just have to take a 90-day view of
[87:03] (5223.44s)
everything he's doing and then you'll be
[87:05] (5225.44s)
fine. When he says, you know, we're
[87:07] (5227.36s)
going to give people 150% tariff, just
[87:10] (5230.00s)
cut it by 2/3 or make it reciprocal,
[87:12] (5232.32s)
fine. When he says he's going to deport
[87:14] (5234.00s)
20 million people, cut it to 500 to a
[87:16] (5236.80s)
million, whatever Obama did, and that's
[87:18] (5238.72s)
where it's going to wind up. And he says
[87:20] (5240.32s)
we're going to smash Iran, it's going to
[87:23] (5243.04s)
be like very strategic, and then he's
[87:24] (5244.64s)
going to give them the path off. So he
[87:26] (5246.00s)
he's actually playing a very interesting
[87:28] (5248.88s)
perhaps dare I say sophisticated
[87:31] (5251.12s)
approach this time which seems chaotic
[87:33] (5253.68s)
but it might there might be a method to
[87:35] (5255.52s)
the madness. Yeah. Well I think the
[87:38] (5258.24s)
media has an incentive to spread this
[87:41] (5261.36s)
ide they have an incentive to hype the
[87:44] (5264.08s)
chaos basically. They're the ones who
[87:45] (5265.60s)
are creating the panic and they bring on
[87:47] (5267.52s)
all these fake networks who've got TDS
[87:49] (5269.76s)
to basically hype this narrative. So my
[87:52] (5272.40s)
point is just that when the media is
[87:53] (5273.92s)
spreading this this narrative, that's a
[87:56] (5276.40s)
great time to buy because it's an
[87:58] (5278.08s)
opportunity for those of us who don't
[87:59] (5279.36s)
have TDS. It's not even TDS, it's
[88:01] (5281.84s)
ratings. I'll just tell you right there,
[88:03] (5283.84s)
being a media executive, you know, for
[88:05] (5285.52s)
most of my life, if you want to work the
[88:07] (5287.60s)
left, you say Trump's out of control,
[88:10] (5290.00s)
look at this chaos, he's a dictator,
[88:11] (5291.68s)
yada yada, ratings go up. If you're Fox,
[88:14] (5294.08s)
you take the other side, you get
[88:15] (5295.60s)
ratings, it equals advertising. You
[88:18] (5298.00s)
don't really have to think about it.
[88:19] (5299.04s)
want to talk to independent media like
[88:20] (5300.88s)
all in podcast Tucker people on the left
[88:23] (5303.68s)
people on the right who are actually
[88:24] (5304.96s)
having first principal discussions about
[88:26] (5306.88s)
this I think it is TDS though I mean
[88:29] (5309.20s)
there are some members no but like just
[88:31] (5311.20s)
as we were taping there's just a whole
[88:34] (5314.72s)
deluge of economic data that came out
[88:37] (5317.04s)
the GDP print for Q1 came in at
[88:40] (5320.16s)
minus.5%.
[88:42] (5322.72s)
I mean, so how could anybody interpret
[88:46] (5326.40s)
for Q1? So, how could anybody at the Fed
[88:49] (5329.52s)
or in the media covering the Fed
[88:53] (5333.20s)
not understand that, by the way, and we
[88:55] (5335.52s)
were talking about this just like I said
[88:57] (5337.52s)
that we're probably going to print like
[88:58] (5338.72s)
a threehandle on GDP in Q2, we also
[89:01] (5341.28s)
talked about the fact that we were
[89:02] (5342.40s)
probably going to have a negative GDP
[89:03] (5343.76s)
print in Q1. So, we've been knowing it
[89:06] (5346.48s)
for months. We've basically been calling
[89:08] (5348.24s)
it right. So why is there an inability
[89:11] (5351.52s)
to just look at the data and just say
[89:13] (5353.60s)
the obvious truthful thing? So I think I
[89:17] (5357.04s)
think whether whether whatever you think
[89:18] (5358.80s)
of Trump, it doesn't really matter.
[89:21] (5361.04s)
Rates should not be where they are
[89:22] (5362.48s)
today. They should be 50 to 100 basis
[89:24] (5364.48s)
points lower. Period. It's categorical.
[89:26] (5366.48s)
He'll do it in September. He's going to
[89:27] (5367.60s)
do a 25 in September. It's obvious.
[89:29] (5369.04s)
There's no logical explanation for it.
[89:31] (5371.52s)
There is a
[89:33] (5373.60s)
subjective explanation and that's
[89:35] (5375.28s)
political.
[89:36] (5376.80s)
I I think he just after the tariff stuff
[89:39] (5379.36s)
he said let's just push it out two month
[89:41] (5381.28s)
two two two months get some more data
[89:42] (5382.96s)
and then we'll cut it in September.
[89:44] (5384.00s)
What's the difference between a sepy
[89:46] (5386.00s)
August cut or a September? It's probably
[89:47] (5387.52s)
not going to be meaningful in the arc of
[89:48] (5388.88s)
history. But if you're if you're against
[89:50] (5390.32s)
the tariffs and you're buying into, you
[89:52] (5392.16s)
know, Jim Kramer's doom narrative or
[89:53] (5393.84s)
Larry Summer's doom narrative, that's
[89:55] (5395.44s)
more of a reason to cut. If you believe
[89:59] (5399.20s)
the doom narrative that he's not going
[90:01] (5401.84s)
to relent, yes. But if he does relent
[90:04] (5404.56s)
and he negotiates it, I think you would
[90:06] (5406.72s)
say stay the course and see what
[90:08] (5408.24s)
happens. Anyway, all of this is on the
[90:10] (5410.32s)
margins. The truth is these companies
[90:12] (5412.24s)
are very strong. Entrepreneurship is
[90:14] (5414.56s)
strong and the debt's the issue. So we
[90:16] (5416.32s)
we still got to address the debt. We'll
[90:18] (5418.00s)
see if he does that in. But to Sha's
[90:19] (5419.68s)
point, the the last year of the Biden
[90:22] (5422.32s)
economy was very weak, especially the
[90:24] (5424.56s)
last six months of the Biden economy,
[90:26] (5426.16s)
such that Q1 was negative GDP growth.
[90:29] (5429.36s)
So, President Trump came into office
[90:30] (5430.88s)
inheriting a very weak economy. Since
[90:33] (5433.36s)
then, he's done a bunch of things to
[90:34] (5434.72s)
turn it around. Yeah. But there's
[90:36] (5436.64s)
obviously there's no reason to have
[90:37] (5437.76s)
interest rates at What are interest
[90:39] (5439.52s)
rates at right now? It's five still at
[90:41] (5441.60s)
5%. Let's pull up the poly market just
[90:43] (5443.20s)
for real quick guide where he uh I think
[90:46] (5446.40s)
the the market thinks 2550 bips is like
[90:49] (5449.36s)
the 80%. I haven't looked at it in a
[90:51] (5451.36s)
week. Here's September. What are we
[90:53] (5453.28s)
seeing here?
[90:56] (5456.00s)
59% 25 bips 8% 50 bips. So you put those
[91:00] (5460.32s)
together, it's two3 chance he's going to
[91:02] (5462.00s)
cut in September, obviously. And what
[91:04] (5464.32s)
does October say? Yeah. So is there a
[91:07] (5467.20s)
poly market on who replaces Powell,
[91:08] (5468.96s)
Nick? Is there anything in there about
[91:10] (5470.16s)
who replaces Powell? He's going to
[91:11] (5471.76s)
announce it. I mean, I I think he'll
[91:14] (5474.40s)
just announce it and he'll make Bessant.
[91:17] (5477.52s)
People seem to like Bessant. He feels
[91:19] (5479.20s)
like a steady hand. He feels like he's
[91:20] (5480.80s)
got experience. It's obvious who's who
[91:23] (5483.12s)
is the most likely new Fed chair or
[91:24] (5484.72s)
something like that. I think it's best.
[91:26] (5486.40s)
Here we go. Oh, there it is. Chris
[91:28] (5488.88s)
Waller. Really? Huh? Best only 14%. I
[91:32] (5492.24s)
think that's your sleeper right there.
[91:33] (5493.20s)
But it's it's Listen, there's one, two,
[91:35] (5495.20s)
three, four, five, six people with 14 to
[91:38] (5498.08s)
22%. So, this is a Bess only at 14%.
[91:40] (5500.88s)
Yeah, I agree. That seems low. Hasset's
[91:42] (5502.80s)
at 18. I mean, I work with both Bess and
[91:45] (5505.12s)
Hasset and I know them both well and
[91:47] (5507.20s)
they both be great. They both would be
[91:48] (5508.72s)
great, right? They both have a ton of
[91:49] (5509.92s)
experience, a lot of time in the game,
[91:53] (5513.52s)
which is what you Worsh has been in the
[91:55] (5515.44s)
game for a long time. He really knows
[91:57] (5517.04s)
how the markets work. He He I mean this
[91:59] (5519.92s)
Yeah. Chop. Is this a case of or Sachs
[92:03] (5523.04s)
is this a case of picking you you have a
[92:06] (5526.08s)
bench. Do you want to move Bessant out
[92:08] (5528.40s)
of where he's doing a good job? I think
[92:10] (5530.00s)
I think Bessant's crushing at Treasury.
[92:11] (5531.68s)
I would love to keep him in the job. So
[92:13] (5533.68s)
yeah, I think that's the decision,
[92:14] (5534.80s)
right? I think I think the thing is
[92:16] (5536.40s)
elevating Waller has that's an
[92:18] (5538.72s)
interesting set of implications. Worsh
[92:20] (5540.48s)
is, you know, very consumate and capable
[92:22] (5542.32s)
of doing the job. The question is, does
[92:23] (5543.76s)
Trump believe he's MAGA or does Trump
[92:25] (5545.44s)
believe he's more established
[92:26] (5546.64s)
Republican? Sorry, there's another name
[92:28] (5548.16s)
on the list that we forgot. You want
[92:29] (5549.52s)
Musk or Trump? Oh, Sumat is in there.
[92:32] (5552.48s)
Oh, okay. Let's see. Okay. Well, let's
[92:35] (5555.60s)
get those numbers up. Those are rookie
[92:37] (5557.12s)
numbers. You can make 99.8.
[92:40] (5560.40s)
I think I think that I'm I'm part of a
[92:42] (5562.64s)
cascade that happens if something else
[92:44] (5564.72s)
happens. But you put $1,000 in and uh
[92:47] (5567.28s)
you'll make three bucks. Yeah. All
[92:49] (5569.12s)
right. Let's end on this uh AI training.
[92:51] (5571.36s)
This is a super important story. we
[92:52] (5572.80s)
talked about here. Anthropic received a
[92:54] (5574.96s)
favorable ruling in an AI copyright
[92:57] (5577.60s)
case. Bunch of caveats here. Federal
[92:59] (5579.52s)
judge out of San Francisco ruled
[93:01] (5581.28s)
Anthropic use of copyrighted books and
[93:02] (5582.88s)
AI training was legal if if the company
[93:06] (5586.32s)
had purchased or licensed the books
[93:09] (5589.12s)
through legal means. However, the ruling
[93:11] (5591.68s)
doesn't apply to more than 7 million
[93:13] (5593.28s)
books that Enthropic allegedly
[93:16] (5596.56s)
to put that in there obtained through
[93:18] (5598.32s)
quote unquote pirated means. People
[93:20] (5600.56s)
obviously have been training data off of
[93:23] (5603.68s)
a lot of what's on the web and a lot of
[93:25] (5605.60s)
that stuff might have not been
[93:28] (5608.80s)
officially licensed. Author's guild is
[93:32] (5612.24s)
going to appeal the decision uh which
[93:34] (5614.64s)
came out of the district court in
[93:36] (5616.64s)
Northern California. Interestingly, a
[93:39] (5619.20s)
day after this ruling, Microsoft was
[93:40] (5620.56s)
sued by a group of authors alleging it
[93:42] (5622.16s)
used a collection of over 200,000
[93:43] (5623.92s)
pirated books uh in its Megatron AI
[93:47] (5627.04s)
model. Interestingly, on top of that, I
[93:48] (5628.88s)
did a licensing deal. Harper's business
[93:51] (5631.12s)
did a deal or Harper's with Microsoft
[93:53] (5633.60s)
and I got paid 2500 bucks to license
[93:56] (5636.08s)
Angel for their model. So, there are
[93:58] (5638.32s)
also legal routes.
[94:02] (5642.00s)
No, literally for the whole book. Uh,
[94:04] (5644.00s)
and I did it I know it's crazy. No,
[94:06] (5646.16s)
everybody got the same deal. They
[94:07] (5647.68s)
licensed like I don't know 5,000 books
[94:10] (5650.16s)
or something per word. Per word. Well, I
[94:12] (5652.96s)
used to get $3 a word back in the day,
[94:14] (5654.56s)
but actually for that book, what did I
[94:16] (5656.00s)
get? got $25 a word, I guess, um, with a
[94:19] (5659.76s)
million-dollar deal. So, Meta also
[94:22] (5662.56s)
prevailed against a group of notable
[94:24] (5664.16s)
authors, including Sarah Silverman. Now,
[94:26] (5666.24s)
we know why he's so long-winded. He gets
[94:28] (5668.32s)
paid by the word. Absolutely. Now, you
[94:30] (5670.24s)
know, that's actually my Now, we know
[94:32] (5672.40s)
why he never wants to cut anything. This
[94:34] (5674.24s)
goes on and on and on. On and on and on.
[94:37] (5677.12s)
Absolutely. That's why we're the number
[94:38] (5678.64s)
one podcast in the world. Uh, you guys
[94:40] (5680.64s)
can send me my flowers. You know, the
[94:42] (5682.00s)
address of the ranch. Okay. So, there
[94:43] (5683.20s)
was another one with Meta. And uh
[94:45] (5685.60s)
although the judge ultimately sided with
[94:47] (5687.92s)
Meta, he had a mixed ruling. Basically
[94:50] (5690.08s)
said that copyright protected works
[94:51] (5691.76s)
without permission is generally illegal.
[94:54] (5694.48s)
But the plaint plaintiffs in that case
[94:56] (5696.32s)
failed to present any compelling
[94:58] (5698.32s)
arguments that there were actual market
[95:00] (5700.80s)
harm. That's a key one. You have to have
[95:03] (5703.44s)
uh some harm in these cases in order for
[95:05] (5705.28s)
it to play. Ton of other cases still in
[95:07] (5707.60s)
play. The big one is the New York Times
[95:09] (5709.28s)
versus OpenAI and Getty Images versus
[95:11] (5711.84s)
Stable uh Diffusion. We'll follow those
[95:14] (5714.08s)
as they make their way through the
[95:16] (5716.40s)
courts. But here you are, Sax, you are
[95:18] (5718.64s)
the ZAR of AI. So I I don't know if
[95:22] (5722.00s)
we're getting an official position here
[95:23] (5723.60s)
or just your personal thoughts on this,
[95:25] (5725.92s)
but what's the um interpretation of
[95:28] (5728.08s)
these two early cases by bizarre data?
[95:32] (5732.24s)
Well, I'll tell you my my point of view.
[95:34] (5734.72s)
I don't know that I can speak for
[95:35] (5735.84s)
everybody, but I'll give you my point of
[95:37] (5737.36s)
view, which actually is the same point
[95:38] (5738.80s)
of view I gave on this podcast a year or
[95:40] (5740.64s)
two ago because we had this debate over
[95:42] (5742.56s)
fair use and me and Freeberg were on one
[95:44] (5744.32s)
side and you were on another side. Yes.
[95:46] (5746.16s)
This judge in the anthropic case, I
[95:48] (5748.00s)
mean, the the the reasoning that he gave
[95:50] (5750.64s)
was almost identical to what Freeberg
[95:52] (5752.48s)
and I were arguing Yeah. a year ago. And
[95:55] (5755.76s)
the distinction he made is between input
[95:58] (5758.32s)
and output. If an AI model outputs
[96:02] (5762.88s)
some text that is basically a ripoff of
[96:05] (5765.60s)
of someone else's uh copyright, then of
[96:07] (5767.92s)
course it's it's guilty of copyright
[96:09] (5769.20s)
violation. But in the inputs or
[96:12] (5772.16s)
pre-training is something different. And
[96:14] (5774.00s)
what AI models do in pre-training is
[96:16] (5776.16s)
they take millions of text, millions of
[96:18] (5778.16s)
documents, and they understand the
[96:21] (5781.68s)
positional relationship of the words and
[96:24] (5784.16s)
they translate that into um into math
[96:27] (5787.04s)
into a vector space called positional
[96:29] (5789.20s)
encoding. That is a transformation of
[96:31] (5791.60s)
the underlying work. And in the same way
[96:33] (5793.52s)
that a human can read a a body of works
[96:37] (5797.04s)
and then come up with their own point of
[96:38] (5798.40s)
view, that is basically what AI models
[96:40] (5800.32s)
are doing. So if AI models violate
[96:42] (5802.48s)
someone's copyright by outputting
[96:44] (5804.00s)
something that's identical, then
[96:45] (5805.36s)
obviously that's a violation. But if all
[96:47] (5807.60s)
they're doing is transforming the work,
[96:49] (5809.92s)
they're doing positional encoding and
[96:51] (5811.60s)
then coming up with their own unique
[96:52] (5812.96s)
work product. This judge said that that
[96:54] (5814.96s)
is not a violation of copyright. I
[96:56] (5816.40s)
completely agree with that. One other
[96:59] (5819.28s)
point, one other distinction this judge
[97:00] (5820.88s)
made that I think is very important is
[97:03] (5823.36s)
the difference between pirating and
[97:05] (5825.04s)
copyright. What the judge said is,
[97:06] (5826.64s)
"Look, you have to buy the book if
[97:08] (5828.96s)
you're going to basically do
[97:09] (5829.84s)
pre-training on it. You can't rip it
[97:11] (5831.76s)
off. That would be piracy, but that's
[97:14] (5834.16s)
different than copyright." And so, I
[97:16] (5836.08s)
agree with that, too. Now, just one
[97:18] (5838.56s)
final point on this. How would you uh
[97:20] (5840.40s)
Sax on that point? How would you propose
[97:23] (5843.68s)
a large language model, take a million
[97:26] (5846.56s)
books and put it in? Would they buy the
[97:28] (5848.80s)
physical books, scan them in if you buy
[97:30] (5850.96s)
the book? So what Anthropic did is they
[97:32] (5852.64s)
created this large repository of books
[97:35] (5855.84s)
and unfortunately some of them weren't
[97:37] (5857.52s)
paid for they were pirated material and
[97:40] (5860.32s)
so anthropic allegedly by the way
[97:42] (5862.32s)
allegedly is in some hot water and then
[97:43] (5863.84s)
I think there is some case that's going
[97:45] (5865.76s)
to move forward about that but the judge
[97:48] (5868.40s)
distinguished again between piracy and
[97:50] (5870.08s)
copyright. So the point is what
[97:52] (5872.08s)
anthropic should have done apparently is
[97:54] (5874.40s)
buy each copy of the book that they put
[97:57] (5877.28s)
in their repository. If they had done
[97:58] (5878.56s)
that, scan them in, scan them in, they
[98:00] (5880.32s)
wouldn't have had this piracy uh uh
[98:02] (5882.32s)
claim against them. But again, that is
[98:04] (5884.24s)
separate from copyright. Just one final
[98:06] (5886.96s)
point on this is I think it's very
[98:08] (5888.96s)
important that we end up with a sensible
[98:11] (5891.76s)
fair use definition like the one that
[98:13] (5893.68s)
judges come up with in the synthropic
[98:15] (5895.76s)
case because otherwise we will lose the
[98:17] (5897.76s)
AI race to China. The fact of the matter
[98:19] (5899.84s)
is China's not going to care about
[98:21] (5901.60s)
American copyright policy. they are
[98:24] (5904.08s)
going to train on every scrap of data
[98:26] (5906.24s)
that's available to them on the
[98:27] (5907.92s)
internet. Uh apparently they use a
[98:30] (5910.08s)
pirated book archive called libgen. And
[98:32] (5912.48s)
so you know they're not going to abide
[98:34] (5914.56s)
by copyright laws at all. And if we
[98:37] (5917.68s)
don't allow our AI models to again have
[98:40] (5920.80s)
a sensible fair use definition that
[98:43] (5923.44s)
allows them to train but not violate an
[98:46] (5926.08s)
output then we will lose to to Chinese
[98:49] (5929.12s)
AI models because they'll have more
[98:50] (5930.32s)
data. And the fact is that the more data
[98:52] (5932.00s)
that you have, the better your AI model.
[98:54] (5934.64s)
So I do think it's very important for
[98:56] (5936.16s)
the US to consolidate around a fair use
[98:58] (5938.16s)
definition that makes sense. I'm not
[98:59] (5939.84s)
saying that this anthropic case will be
[99:01] (5941.36s)
the final word. I think there will be
[99:02] (5942.80s)
other cases that come up with other
[99:05] (5945.20s)
definitions. There may be other judges
[99:07] (5947.12s)
that disagree. Ultimately, I think this
[99:08] (5948.64s)
is going to the Supreme Court. But where
[99:10] (5950.72s)
we need to end up is with some sort of
[99:13] (5953.28s)
fair use definition that makes sense.
[99:15] (5955.68s)
Otherwise, we will lose AI race to
[99:17] (5957.28s)
China. Your view Jal?
[99:20] (5960.08s)
Yeah, obviously as a content creator,
[99:22] (5962.08s)
uh, I'll take the other side of this.
[99:23] (5963.68s)
There is a nuance between training and
[99:25] (5965.36s)
there is a nuance between the output.
[99:27] (5967.20s)
Uh, I like to look at this as an
[99:28] (5968.56s)
opportunity. YouTube really did a great
[99:30] (5970.80s)
job with their content ID system of
[99:33] (5973.28s)
navigating this. Google has the most
[99:35] (5975.28s)
experience here uh, with Google images
[99:37] (5977.52s)
and Google News. The one box where you
[99:39] (5979.52s)
get a little snippet uh, up top and the
[99:41] (5981.92s)
output is where this is really going to
[99:44] (5984.24s)
favor the content holders because these
[99:46] (5986.24s)
will be competitive products in the
[99:48] (5988.00s)
marketplace. The need to buy a New York
[99:51] (5991.52s)
Times subscription is no longer
[99:53] (5993.44s)
necessary. You can go onto a language
[99:54] (5994.96s)
model and ask them to give you wire
[99:57] (5997.68s)
cutter as one example I like to cite.
[99:59] (5999.68s)
What are their best picks for these uh
[100:02] (6002.32s)
you know air conditioners or or
[100:04] (6004.08s)
microphones for podcasting? And they
[100:05] (6005.76s)
will give it to you. And when they
[100:07] (6007.28s)
started doing that, that was my main
[100:08] (6008.56s)
reason to subscribe to the New York
[100:09] (6009.76s)
Times. And I no longer subscribe to it.
[100:11] (6011.12s)
I subscribe to Open Eye because I can
[100:12] (6012.48s)
get the same information there. These
[100:14] (6014.40s)
cases will be very easy to win. Uh and
[100:16] (6016.80s)
so I'm going to explain two things. is
[100:18] (6018.08s)
one how you can win this case as a
[100:19] (6019.52s)
content company and then two I'm going
[100:22] (6022.24s)
to give uh how the large language models
[100:25] (6025.76s)
can importantly win the AI race and
[100:28] (6028.88s)
actually not destroy the business on
[100:32] (6032.00s)
which they are built on. These language
[100:33] (6033.68s)
models have nothing without the content
[100:35] (6035.44s)
creators and the authors of these books
[100:36] (6036.88s)
of which I am one. They need us and so
[100:40] (6040.08s)
they should want to pay us. They should
[100:42] (6042.08s)
want us to be compensated because that
[100:44] (6044.32s)
will keep us more competitive than
[100:46] (6046.48s)
China, which will just steal it one
[100:47] (6047.92s)
time. So, here's how you win if you're a
[100:50] (6050.80s)
publisher. Uh, all you have to do is
[100:53] (6053.20s)
Disney, which is suing um MidJourney
[100:56] (6056.16s)
right now for obvious copyright
[100:58] (6058.40s)
violations on the output in my
[101:00] (6060.16s)
interpretation. All you have to do is do
[101:02] (6062.24s)
a a Marvel Me, make yourself into a
[101:04] (6064.88s)
Marvel character, Disney me, or choose
[101:07] (6067.44s)
your own adventure Star Wars, and allow
[101:09] (6069.20s)
consumers to pay for that product. And
[101:11] (6071.36s)
any author right now that pops up a
[101:13] (6073.04s)
website that says subscribe to uh the
[101:16] (6076.24s)
angel book and ask questions of it, $10
[101:19] (6079.04s)
for life, a dollar per year, whatever it
[101:21] (6081.28s)
is, they will be able to prove damages
[101:23] (6083.84s)
very easily and they will be able to
[101:25] (6085.84s)
prove that these language models are
[101:28] (6088.16s)
competitive. When they do that, then all
[101:30] (6090.40s)
of the output will need to uh be
[101:33] (6093.92s)
scrubbed or contained in some way. You
[101:36] (6096.88s)
can see this today if you ask Chat GPT
[101:39] (6099.52s)
which is you know the main target since
[101:41] (6101.28s)
they're making $10 billion a year off of
[101:44] (6104.00s)
in many ways uh content creators work
[101:47] (6107.20s)
that's why they're the big target
[101:48] (6108.24s)
because they have the most money uh they
[101:49] (6109.76s)
will not let you make certain images
[101:51] (6111.52s)
copyrighted images specifically the
[101:52] (6112.96s)
Disney ones go ahead and try go try to
[101:54] (6114.56s)
make a Darth Vader image and they will
[101:56] (6116.08s)
stop you so they know they're doing it
[101:57] (6117.68s)
wrong and they've already put the
[101:58] (6118.72s)
controls in place you need to show that
[102:01] (6121.36s)
this is your opportunity as a content
[102:03] (6123.12s)
creator and now to my second point Zach
[102:06] (6126.56s)
which is the very easy. So that's how
[102:08] (6128.32s)
you can prove your case and win hands
[102:10] (6130.24s)
down versus all language models. Put a
[102:12] (6132.48s)
competitive product in the market, you
[102:13] (6133.84s)
will win. Then the second piece that'll
[102:16] (6136.88s)
make this tenable is you know Chetchip
[102:20] (6140.00s)
is making $10 billion a year according
[102:21] (6141.76s)
to reports. They should give 30% of
[102:23] (6143.52s)
their revenue a small amount the
[102:25] (6145.68s)
minority of their revenue to the top
[102:27] (6147.92s)
10,000 newspapers, publications,
[102:30] (6150.08s)
podcasts, books, etc. And they should do
[102:33] (6153.36s)
that programmatically. And then they
[102:34] (6154.96s)
should hope that those companies double
[102:37] (6157.12s)
their revenue and increase their
[102:38] (6158.96s)
investment. And then Chat GPT and the
[102:41] (6161.12s)
New York Times should do a deal and I
[102:42] (6162.72s)
predict they will do this or with
[102:44] (6164.24s)
another language model that's smart
[102:45] (6165.52s)
enough to do it where when you go to
[102:47] (6167.44s)
Chat GPT and you do a search from the
[102:49] (6169.76s)
New York Times, you say, "What does the
[102:50] (6170.88s)
New York Times say about Iran or what do
[102:52] (6172.48s)
they say about you know uh the wire
[102:54] (6174.64s)
cutters say about cameras?" It should
[102:56] (6176.32s)
say authenticate with your New York
[102:57] (6177.60s)
Times subscription to have access to
[102:59] (6179.28s)
this. And on the New York Times website,
[103:01] (6181.52s)
they should say authenticate with chat
[103:02] (6182.96s)
GPT. This would allow them to have a
[103:06] (6186.24s)
competitive advantage versus Anthropic
[103:09] (6189.12s)
and you know Apples and whoevers and
[103:11] (6191.84s)
this will become a massive competitive
[103:14] (6194.16s)
advantage for the language models just
[103:16] (6196.16s)
like cable channels might or Hulu might
[103:18] (6198.32s)
feature Disney Plus or you know FX or or
[103:21] (6201.76s)
whatever stations or content it is.
[103:23] (6203.92s)
Whoever does this first on the other
[103:25] (6205.68s)
side will make a tremendous amount of
[103:27] (6207.92s)
money because they will have access to
[103:30] (6210.24s)
all that data and the output. So you can
[103:32] (6212.48s)
make your kids a t-shirt or a birthday
[103:36] (6216.00s)
invitation, you know, using the Star
[103:38] (6218.08s)
Wars characters. That's the easy way for
[103:40] (6220.64s)
us to win as Americans by respecting
[103:43] (6223.60s)
content creators and paying the money so
[103:45] (6225.92s)
they can reinvest. The amount of money
[103:48] (6228.00s)
we're talking about here is dimminimous
[103:49] (6229.44s)
for the tech industry. These companies
[103:51] (6231.04s)
are going to be worth 30% of revenue and
[103:52] (6232.96s)
the company's losing tons of money.
[103:54] (6234.88s)
Yeah, that's their problem. That's not
[103:57] (6237.52s)
there's no legal basis for that such a
[104:00] (6240.32s)
specific proposal. There's only basis
[104:02] (6242.40s)
for well I mean there is the music
[104:03] (6243.84s)
industry if you want to play music in
[104:05] (6245.60s)
your restaurant you have to pay. If you
[104:07] (6247.44s)
want to cover somebody's song you got to
[104:09] (6249.28s)
pay. If you want to perform it you have
[104:10] (6250.56s)
to pay. So there is tons of precedent
[104:12] (6252.72s)
for it. If you want to play a Disney
[104:15] (6255.44s)
film at your kid's birthday party yeah
[104:17] (6257.20s)
you can get away with it. But if you do
[104:18] (6258.56s)
it in people you're going to guarantee
[104:20] (6260.48s)
that Chinese models like Deep Seek are
[104:22] (6262.08s)
better than American models cuz they're
[104:23] (6263.28s)
not going to go through any of that. So
[104:24] (6264.72s)
that's your reason of why people because
[104:26] (6266.56s)
they're just going to train on No, not
[104:27] (6267.92s)
steal. I don't think it's stealing the
[104:30] (6270.16s)
output. I'm talking about specifically
[104:31] (6271.76s)
the output stealing or not. You can't
[104:32] (6272.88s)
cop No, no, no. You can't copy the
[104:34] (6274.56s)
output. I fully agree there. And that is
[104:36] (6276.72s)
what the Disney case is about. No, I'm
[104:38] (6278.64s)
talking about free training. I'm talking
[104:40] (6280.40s)
about the latter. So, let's talk about
[104:41] (6281.76s)
the latter here. I'm talking
[104:42] (6282.88s)
specifically on the output. No one
[104:44] (6284.40s)
disagrees on output. Okay. So, that's
[104:46] (6286.56s)
the licensing deal I'm talking about.
[104:47] (6287.92s)
Don't you think it would be worth it to
[104:49] (6289.04s)
give Disney $und00 million a year to
[104:51] (6291.28s)
have access to all that? You and I have
[104:52] (6292.72s)
different definitions of output. Okay. I
[104:56] (6296.16s)
think it's reasonable to pay Disney for
[104:57] (6297.68s)
pre-training, and I think that they do.
[105:01] (6301.20s)
I told you though this like we did a
[105:02] (6302.72s)
licensing deal with open AAI we meaning
[105:04] (6304.96s)
you know beast they paid us and they're
[105:08] (6308.08s)
using it for pre-training it's quite
[105:09] (6309.68s)
reasonable is it the right price we have
[105:11] (6311.92s)
no idea but we did it so that we could
[105:14] (6314.40s)
be a part of the conversation and shape
[105:16] (6316.00s)
how these deals get done for content
[105:18] (6318.16s)
creators but Sax is right like if you
[105:20] (6320.64s)
think about like what is the ultimate
[105:23] (6323.92s)
output the output if you look at how a
[105:26] (6326.16s)
transformer behaves it's it's almost
[105:28] (6328.80s)
it's impossible simple to say that it's
[105:30] (6330.24s)
copying the input just not how it works.
[105:33] (6333.20s)
And so I I don't get turned into math
[105:36] (6336.88s)
what gets recorded is vector math on the
[105:40] (6340.24s)
relationship between the words.
[105:42] (6342.88s)
This is all a very and then somehow when
[105:45] (6345.28s)
you feed that into a neural net with
[105:46] (6346.88s)
billions and billions of documents, it
[105:48] (6348.48s)
somehow has an understanding and
[105:50] (6350.40s)
produces new content and that new
[105:52] (6352.64s)
content is not a copyright violation. So
[105:54] (6354.96s)
I just think that like copyright's the
[105:56] (6356.32s)
wrong way to look at this. This is a new
[105:57] (6357.68s)
technology. is transformational. And
[105:59] (6359.76s)
then finally, we have the national
[106:01] (6361.12s)
security concern. All right, so this is
[106:03] (6363.28s)
a topic we will monitor. Thanks again
[106:05] (6365.60s)
for listening to the number one podcast
[106:07] (6367.92s)
in the world. If you want to hang out
[106:09] (6369.84s)
with the besties and hear more prophetic
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All-In Summit now in its fourth year,
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every year. We try to oneup the last
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Apply for tickets. allin.com/summit
[106:24] (6384.96s)
or ballin.com/yattada
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yada yada.
[106:29] (6389.52s)
See you next time, besties. Love you. I
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love you. I got to go. Bye.
[106:34] (6394.80s)
We'll let your winners ride.
[106:37] (6397.68s)
Rainman David
[106:41] (6401.92s)
and we open sourced it to the fans and
[106:44] (6404.32s)
they've just gone crazy with it. Love
[106:46] (6406.16s)
you. Queen of
[106:49] (6409.60s)
yours.
[106:51] (6411.11s)
[Music]
[106:54] (6414.88s)
Besties are gone.
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That is my dog taking your driveways.
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Oh man, my appetiter will meet. We
[107:05] (6425.44s)
should all just get a room and just have
[107:06] (6426.96s)
one big huge orgy cuz they're all just
[107:09] (6429.28s)
like this like sexual tension and they
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just need to release somehow.
[107:16] (6436.32s)
Your feet.
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We need to get merch.
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[Music]
[107:28] (6448.08s)
I'm going all in.