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Stack ranking is organizational cancer.
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This is Bryan Cantrill. He was a
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distinguished engineer at the original
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Sun Microsystems and I asked him about
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everything he learned over his 30-year
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Performance review is not about you
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performing better. It's about us
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measuring your performance. He had
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interesting stories from competing with
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Jeff Bezos. He is not merely a predator.
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He is an apex predator in capitalist.
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This is what makes him so good. To
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stories from when he started his own
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company Oxide. You go to hang up on a
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VC, they'll be like, "Wait, wait, wait,
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wait, wait, wait, wait, wait, wait,
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wait, wait." I was like, "Oh, okay." And
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he even let me grill him about his past.
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You raise this long thing and you reply
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with just a few words. You say, "Have
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you ever kissed a girl?" We actually, I
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mean, this is dark, but we
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Here's the full episode.
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You know, your career started at Sun
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Microsystems and that's kind of a
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legendary company. It was It was before
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my time. What was the industry like when
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you first entered it? Was there a FAANG
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equivalents at the time? What was Sun
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Microsystems like? What were the other
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companies like?
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>> Yeah, you know, it's kind of funny cuz
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there's always been like a FAANG kind of
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equivalent, you know, in the In the
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'60s, it was called the bunch.
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Burroughs, Univac, NCR, Control Data,
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and Honeywell were the were were the
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bunch. It was IBM and the bunch.
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So, they
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For kind of every era, there's always,
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you know, some hot group, some some
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growing sector. Um and in my day though,
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so things were I I mean, I think in a
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bit of a divot. So, I graduated in '96.
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So, I was really interviewing in '95.
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And there was there was for sure
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on-campus interviews happening. But,
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Microsoft was very dominant in that era.
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And I definitely knew I was not going to
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go to Microsoft as a kind of a point of
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principle.
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Um Why was that? Oh, I I view Bill Gates
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robbed me of my childhood. Microsoft had
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such garbage. I mean they really did. Um
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In what sense? In their their operating
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system was you know I I came up in the
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personal computer era. So I I came up in
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the 80s and it wasn't until uh you know
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I I went to to university in 1992
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and it wasn't um
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you know I had just been accustomed to
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kind of like
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garbage on the computer. It's like it's
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garbage in a way that is kind of
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unfathomable. Now DOS itself the disk
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operating system from Microsoft had no
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memory protection whatsoever. So if an
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application misbehaved the machine would
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just reboot.
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And this is this just became like part
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of life is like the machines reboot. You
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got to boy you got to save your work
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because you'd be in WordPerfect or
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WordStar whatever. This is why I sound
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like a true like living fossil. I feel
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like I'm I'm relaying like coming across
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the Oregon Trail or something. But the
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you'd be in your word processor you know
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working on your English paper and all of
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a sudden the machine would reboot. And
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the and I just that that was just that
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was life. And you hope you saved it. You
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hope you had a hard copy.
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And it was only when I got to college
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that I realized like wait a minute hold
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on there's there's actually something
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called there's memory protection in the
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microprocessor. And for much of my
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adolescence there had been memory
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protection present. And it DOS didn't
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use it at all. And the and Windows used
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it I mean with Windows it gets
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complicated. But the answer the the
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short answer is Windows didn't use it
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either. And uh so it wasn't until I I
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got to like Unix on a workstation and I
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just remember being like you know 18
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years old and having like having a a
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command line shell up in one window
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having an FTP to wuarchive downloading
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some like EGA game that I'd want to go
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play back in my dorm in another window
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having something else going on in a
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third window having a compile in a
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fourth window and having this happen
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magically concurrently was just
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mind-bending. It's like, how is this
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even possible? I mean, it again, it it
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sounds and it's and I I I appreciate how
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old this sounds, but but this is what it
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was. And the then looking back, I'm
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like, why do I have garbage from
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Microsoft? And it's Microsoft was just
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not an operating system company. They
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were the dominant operating system
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provider, but it but in their DNA, the
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most fundamental, like the nucleotide
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base pairs of Microsoft are compilers.
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They were a compiler company, not an
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operating systems company.
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And Apple was, you know, Apple what was
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Apple at that time? I mean, Apple had
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this is long fired Steve Jobs. This is
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the the the the Apple was kind of the
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the Mac was really honestly not that
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much better. It was like cleaner, but
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also didn't make use of memory
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protection.
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So, this is just like unconscionable to
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me, and there was just and this is like
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aside from all the bad behavior from
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Microsoft, and there was plenty of bad
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behavior from Microsoft. Microsoft was
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very anti-competitive. And, you know,
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the findings of fact in the Netscape
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case, you know,
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years later would be just very
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underhanded, very
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wanting to like to it was not a company
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that had the best technology. It was a
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company that that that jockeyed for
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position and then would kind of abuse
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its position. What's the TLDR of that
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that abuse?
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So, what Microsoft would do, and this is
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a pattern you would see repeated since,
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but what Microsoft would do is they
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would announce, you know, you have a
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promising company that has something
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that that is that's
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that's a application that people might
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use, they would announce that it's going
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to become a forthcoming feature of the
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operating system.
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And then, but as it turns out, it then
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it wouldn't show up. It was vaporware.
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Uh the the term vaporware, I think if it
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didn't originate with Microsoft,
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Microsoft definitely perfected the art
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of vaporware, of announcing something
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that that didn't exist. And
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they were kind of dominant with this
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mediocrity. Now, to their credit, they
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also when they went and for so for
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example, Microsoft Word, which I mean um
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still exists, but WordPerfect was the
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really the dominant word processor,
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WordPerfect and WordStar.
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But, Microsoft Word was very bad, and to
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their credit, it would get better over
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time and ultimately supplanted uh
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WordPerfect in part because they started
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bundling it with the operating system.
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So, they they were very deeply
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anticompetitive, and that's not like an
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opinion, that's like a that's like a
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judicial finding of fact. That's a Judge
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Alsup finding of fact. Um and the um and
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that changed a lot when Gates I mean
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Gates when he hit middle age, that
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company changed a bunch and after the
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antitrust case in the late '90s. But, I
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was not going to work for Microsoft. I
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your goodbye post for from Sun
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Microsystems. When you were leaving the
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company, you wrote a public post, and
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you said that uh you
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when you joined the company and you
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interviewed, you only knew two things.
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That you one, you wanted to work on an
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operating system kernel development, and
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two is that you didn't particularly want
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to work for Sun.
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But, it looks like you had an amazing
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time. So, what what flipped the switch
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from going from I don't want to work
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here to I love working here? So, the
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when I I had kind of talked with other
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groups at Sun, and I just like the
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people I dealt with at Sun were um
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fine, but just not where it didn't feel
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energizing.
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And uh and especially PBN did not feel
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energizing.
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Um and I you know, I was kind of
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accustomed to being the youngest person
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in a group, but you know, you don't want
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to be completely by your lonesome. You
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would you want to feel like there are
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other people that have that kind of that
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same shared passion. And uh when I met
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Kevin Clark and Jeff Bonwick, um it was
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like a bolt of lightning. Um those two
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were um were uh energized, passionate,
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really they they saw all of the same
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things that I saw in terms of the
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potential for operating systems to be
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innovative and were and wanted to go
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like rip out broken code and replace it
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with with beautiful code and all that
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that same verve um, that that I felt um,
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and yeah, it was it was absolutely
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meeting those two. You're just like,
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okay, I I I there are I am going to work
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for Sun. I remember actually very
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vividly coming back from that trip being
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like, oh my god, I'm going to go work
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for Sun. If they make
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they're going to make me an offer and
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I'm absolutely going to go work there. I
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saw that eventually you grew to a
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distinguished engineer there. What was
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the career ladder like? It'd be
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interesting to know where the kind of
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member of technical staff, staff
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engineer, senior staff engineer,
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distinguished engineer comes from. Um,
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I think it might come from Sun. I think
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it's possible that Sun is the
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originating company. It's also possible
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from Xerox PARC. You have to kind of
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take it apart where and I actually
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remember when I you know, I had
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interacted with some folks at Sun and
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they'd give me a business card and I
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remember like coming out to Sun being
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like and not really knowing what my rank
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was and I'm like because I I was going
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to make business cards. I'm like, what?
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I'm an engineer and I'm on staff. So I
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like I think I'm a staff engineer. So
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and and you know, I kind of go to make
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business cards and then I kind of like
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didn't didn't complete submission on the
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form or whatever and then of course it
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wasn't that long afterwards I was like,
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oh wait a minute. That was like that
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would have been like saying I had got
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tenure. Like I definitely not a staff
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engineer. I'm a member of technical
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Um, I was an MTS three. So the there was
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the uh, you would kind of climb up
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through those ranks and then to to staff
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engineer, senior staff engineer,
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distinguished engineer and And three was
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the start of the good No, I mean it's
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supposed I think it did start at MTS
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one. Um, no, most college hires would
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start at MTS two. Um, but they um, but I
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I was an unusual college hire in a lot
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of ways. Interesting. So they brought
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you on two levels deep as a new grad.
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Yeah, yeah, yeah, that's right. Um, I
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mean I'd had a lot I um, so Sun was
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actually not the first company I worked
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for. I worked for a company called QNX
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in Canada. Um, and I'd done kernel
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development there. So, I'd done um, OS
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development at at QNX for for two
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summers. Um, and I'd done some actually
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some work that I was that I still think
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is actually I love that. I love working
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for QNX. I love being in Canada.
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Uh, and really and and I
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I had decided I didn't want to go back
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to QNX professionally that I that I did
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want The other The other thing I would
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say is I decided that I wanted to come
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out to Silicon Valley. I I did not want
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to be I'd gone to school in the
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Northeast, had worked in Canada, but I
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really wanted to come out to Silicon
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Valley.
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I see. So, then when you when you look
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at your journey growing from I guess
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this MTS3 to up to where you grew, like
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if you were to break down that I guess
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the story behind that growth and kind of
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what are the highlights that that stuck
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out to you that made you grow? Yeah, so
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I mean, I was not
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I was very much not focused on my my my
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grade, my rank, or
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promotion. That was not on I was not
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interested in that. My view was always
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like I I would much rather be
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under-promoted than over-promoted. Um,
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I'd much rather be doing work where
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people are like, "Wait a minute. Why is
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Wait, why why are you back here? Like,
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what happened to you?" You know, I I've
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I that's just
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I I am not interested in being kind of
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doing work performatively.
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Um, I was always going to do what like
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what I thought was the most important
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thing to go do. Um, and you know, Sun
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was a company that was very
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accommodating of headstrong engineers.
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Uh, and um, so I um, that's where I I
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what I wanted to do was solve the
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problems that our customers had, make
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the operating system
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what I believed it could be, kind of
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realize that vision for what the OS
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could be. Um, Sun was the only company,
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honestly, in 1996 that was really
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invested in the operating system. Every
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other company was mortgaging its future
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to Microsoft and Windows. And all these
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computer companies were giving up on
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their own operating system, giving up on
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Unix. It was really Unix's darkest hour.
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And the being in that group in Solaris
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kernel development during those years
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was enormously energizing and allowed us
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to do all sorts of things. And then
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along the way you get promoted, right?
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Along the way like promotions were just
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the kind of thing that that happened as
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you as you went along the way.
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Um the I mean Sun's
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I became I learned I would say I I took
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a away a lot of life lessons in terms of
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of what works and doesn't work. Um I
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found that the because of course we had
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formalized performance review. And I
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find this is like not a deep thought,
[12:12] (732.24s)
but that formalized performance review
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never resulted in me having higher
[12:16] (736.80s)
performance.
[12:19] (739.52s)
this is like this is one of these things
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that you kind of like feels very naive
[12:23] (743.40s)
to say cuz it's like you know dummy like
[12:25] (745.64s)
performance review is not about you
[12:27] (747.76s)
performing better, it's about us
[12:29] (749.72s)
measuring your performance. It's like
[12:31] (751.64s)
well that's not what it should be about.
[12:33] (753.32s)
It what it should be about is like what
[12:35] (755.04s)
feedback is great. Like we should be
[12:36] (756.56s)
making everyone be the best that they
[12:38] (758.92s)
can possibly be. And the the the
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formalized the annual cadence of it I
[12:44] (764.24s)
felt was very broken. You know, we would
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submit a self review of course, and then
[12:50] (770.20s)
your review is like oh wow my review
[12:51] (771.76s)
looks stunningly like my self review
[12:53] (773.84s)
albeit with great grammatical errors
[12:55] (775.52s)
introduced.
[12:58] (778.16s)
you know that it and every review um
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even the reviews in which I was promoted
[13:03] (783.76s)
there was not uplifting. Like that was
[13:05] (785.24s)
not when I look back at the moments of
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like what were the the the highlights
[13:09] (789.16s)
for me during that progression. It was
[13:11] (791.68s)
never being promoted. It was always
[13:13] (793.72s)
doing a significant body of work or
[13:16] (796.08s)
nailing a hard bug or working with
[13:18] (798.48s)
someone on something that we thought was
[13:19] (799.68s)
impossible. Like that was the stuff that
[13:21] (801.24s)
that that was really catalytic for me.
[13:24] (804.68s)
Um and then there's like Sun just kind
[13:26] (806.44s)
of had to promote me along the way. Now
[13:28] (808.96s)
the one exception though I would say to
[13:30] (810.20s)
that is that the
[13:32] (812.32s)
the promotion to distinguished engineer
[13:33] (813.96s)
is was very regrettable and stupid. I
[13:36] (816.48s)
mean not my promotion, but just in
[13:37] (817.64s)
general like the process. The process
[13:39] (819.40s)
for being promoted at Sun was I would
[13:41] (821.20s)
say very traditional in that you know,
[13:43] (823.24s)
you're taking your folks that are
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performing very well and you're
[13:46] (826.32s)
promoting them up to the next grade. Uh
[13:48] (828.28s)
the Sun did have a very
[13:52] (832.16s)
silly process thing that you know, they
[13:53] (833.92s)
had three grades they would give you
[13:55] (835.12s)
superlative, excellent, and good. And
[13:57] (837.96s)
then I think there was like a you know,
[14:00] (840.24s)
and like 70% good, maybe 20% excellent,
[14:04] (844.28s)
and 10% superlative something like that.
[14:06] (846.32s)
And they had this thing where if you
[14:07] (847.92s)
were superlative, they had to promote
[14:10] (850.20s)
you. Like that was like the index for
[14:11] (851.52s)
promoting you. Like if you got that
[14:12] (852.68s)
superlative grade, they'd promote you.
[14:14] (854.16s)
But also they had to promote you if you
[14:16] (856.72s)
they gave you that superlative grade. So
[14:18] (858.44s)
you would have I had these I had these
[14:20] (860.00s)
reviews that were like apologetic being
[14:21] (861.64s)
like, "Look,
[14:22] (862.88s)
I have to give you an excellent grade
[14:24] (864.56s)
even though like the work that you've
[14:26] (866.52s)
done over this past period has been
[14:29] (869.44s)
extraordinary and innovative and
[14:31] (871.68s)
actually better than the work that you
[14:33] (873.16s)
did 2 years ago or a year ago, but I I I
[14:35] (875.92s)
can't actually give you the superlative
[14:37] (877.36s)
grade because if I give you the
[14:38] (878.44s)
superlative grade, I would have to
[14:39] (879.56s)
promote you and we just promoted you a
[14:41] (881.28s)
year ago and it's really like we don't
[14:43] (883.00s)
want to promote people any faster than
[14:44] (884.28s)
every 18 months." And you're like,
[14:46] (886.40s)
"Okay. Does this make sense to you? I
[14:47] (887.80s)
mean this doesn't like I was like,
[14:49] (889.16s)
"Okay, if like if if you're satisfied
[14:51] (891.76s)
with this, like fortunately like I just
[14:53] (893.04s)
don't care one way or the other. So like
[14:55] (895.44s)
sounds good. Okay, can I get back to
[14:56] (896.72s)
work now? Are we are are we done here?
[14:58] (898.56s)
It's like are we And then are we getting
[15:00] (900.44s)
trying not to be trolled by the
[15:01] (901.84s)
grammatical reviews in my in in in in
[15:03] (903.96s)
the review that's being handed to me?"
[15:05] (905.60s)
Um so now the difference for that was
[15:08] (908.88s)
the And then you know, the promotion to
[15:10] (910.52s)
staff engineers was a big deal. And like
[15:12] (912.48s)
great, fine. Actually it was funny
[15:14] (914.00s)
because all the staff engineers so Sun
[15:16] (916.60s)
had this thing called KEEP, the key
[15:18] (918.36s)
employee incentive program.
[15:20] (920.24s)
And KEEP was effectively like an annual
[15:22] (922.96s)
dividend. It was like a bonus. So that
[15:24] (924.72s)
you know and there was like a keep pool
[15:27] (927.76s)
that was set across the company and
[15:30] (930.04s)
you know kind of a traditional thing,
[15:31] (931.20s)
right? And the the metric was based on
[15:33] (933.72s)
like company performance. That's what
[15:35] (935.20s)
they and so I would did hear when I was
[15:37] (937.84s)
you know an MTS3 MTS4 the staff
[15:40] (940.00s)
engineers like you know they would get
[15:41] (941.20s)
their keep bonus and if the keep bonus
[15:42] (942.84s)
is really good they take everyone out to
[15:43] (943.88s)
dinner and it was kind of like you know
[15:45] (945.40s)
it was like being at the the mining
[15:46] (946.92s)
town, right? when there's a big or
[15:48] (948.36s)
strike or what have you gold strike. So
[15:50] (950.52s)
I was like okay wow this is like this
[15:51] (951.80s)
would be great. So of course I mean just
[15:53] (953.56s)
like of course like when do I get
[15:55] (955.32s)
promoted to staff engineer must have
[15:56] (956.40s)
been in like 2000 2001. I get promoted
[15:58] (958.88s)
to staff engineer as like the dot com
[16:01] (961.52s)
nuclear bomb goes off and the keep bonus
[16:04] (964.88s)
was I never got like keep bonus was zero
[16:08] (968.08s)
from then on out. Sun lost 98% of its
[16:10] (970.12s)
value in the public markets and like I
[16:12] (972.28s)
never so it's a good thing that I wasn't
[16:14] (974.52s)
doing it for the keep bonus because the
[16:15] (975.72s)
keep bonus was was zero.
[16:18] (978.80s)
but then getting so that was staff
[16:20] (980.32s)
engineer to senior staff engineer and
[16:21] (981.52s)
then distinguished engineer what is was
[16:23] (983.40s)
really unfortunate in that there were
[16:26] (986.20s)
there were kind of two paths in to
[16:28] (988.24s)
distinguished engineer. And this may be
[16:29] (989.60s)
true of of a lot of companies I don't
[16:30] (990.96s)
know. I mean I have we I don't have
[16:32] (992.72s)
ranks at Oxide for this reason like I
[16:34] (994.04s)
think ranks are corrosive. I don't think
[16:35] (995.52s)
they get people to do their best work
[16:37] (997.24s)
I'm not interested in them. Um but the
[16:40] (1000.76s)
at Sun there were two ways to be a
[16:42] (1002.68s)
distinguished engineer. One was of
[16:43] (1003.80s)
course to be like promoted from a senior
[16:45] (1005.20s)
staff engineer to distinguished engineer
[16:47] (1007.20s)
and that was a very very I mean I would
[16:51] (1011.04s)
say rigorous but it's giving it far too
[16:52] (1012.48s)
much credit. It was very political
[16:53] (1013.80s)
process. The DEs would vote on whether
[16:57] (1017.08s)
you should be admitted to this country
[16:59] (1019.00s)
club of distinguished engineers which is
[17:00] (1020.40s)
a terrible idea. Putting like this is
[17:02] (1022.76s)
like the wrong place for democracy in a
[17:04] (1024.76s)
society right the for so many different
[17:07] (1027.56s)
reasons. And the but so that's how you
[17:09] (1029.96s)
would get promoted to distinguished
[17:10] (1030.72s)
engineer. Very hard to get promoted. The
[17:12] (1032.96s)
other way to become a distinguished
[17:14] (1034.16s)
engineer is Sun is buying your little
[17:17] (1037.04s)
company. Is Aqua hiring your company?
[17:19] (1039.72s)
And your the company's got just enough
[17:22] (1042.12s)
leverage during that process to be like,
[17:23] (1043.76s)
oh by the way, our CTO needs to be a DE.
[17:26] (1046.08s)
So, you would have these like DEs just
[17:27] (1047.48s)
kind of like pop in the side. You're
[17:29] (1049.12s)
like, who is this person? Like, oh yeah,
[17:31] (1051.28s)
we yeah, then we acquired their company.
[17:33] (1053.08s)
So, and and there was definitely a
[17:35] (1055.32s)
difference in like you you knew the the
[17:37] (1057.56s)
homegrown DEs versus the ones that had
[17:39] (1059.88s)
been had been aqua-hired in. Um but when
[17:43] (1063.04s)
I and I I actually like and this is like
[17:45] (1065.04s)
I just do not want to even think about
[17:46] (1066.96s)
this process. Like again, I'm not a real
[17:48] (1068.20s)
political person. Like the last thing I
[17:50] (1070.28s)
want to do. Uh fortunately, we had um I
[17:53] (1073.68s)
I'd done work that was kind of so
[17:55] (1075.20s)
indisputable at that point that it was
[17:57] (1077.24s)
going to be um it was pretty clear that
[17:59] (1079.96s)
if Sun is going to have such a rank, I
[18:01] (1081.36s)
was probably worthy of it. But again, I
[18:02] (1082.40s)
didn't want to deal with it. Uh Sun's
[18:04] (1084.24s)
CTO at the time, Greg Papadopoulos, very
[18:06] (1086.28s)
grateful to Greg. Um Greg had chartered
[18:09] (1089.24s)
this group that we'd developed um inside
[18:11] (1091.44s)
as actually in San Francisco for Sun
[18:13] (1093.20s)
mission called Fishworks where we had
[18:14] (1094.80s)
developed a new storage product. Uh
[18:16] (1096.92s)
storage product was going gangbusters.
[18:19] (1099.04s)
Um it was a great product. Uh although a
[18:21] (1101.68s)
great product with asterisks on it.
[18:23] (1103.24s)
Wasn't as great as we thought it was. We
[18:24] (1104.44s)
should have that. We learned a lot about
[18:25] (1105.80s)
it. Um
[18:27] (1107.72s)
but the product was doing really well.
[18:29] (1109.12s)
Uh Greg Again, I was not in the meeting,
[18:31] (1111.00s)
so this was told to me secondhand. Um
[18:33] (1113.52s)
but uh your DE case needs to be
[18:36] (1116.36s)
presented by someone, another DE. Well,
[18:38] (1118.56s)
Greg presented my case. And so, you had
[18:41] (1121.28s)
the CTO of the company and Sun was not a
[18:43] (1123.08s)
very hierarchical company and Greg was
[18:44] (1124.68s)
not a very hierarchical person. But Greg
[18:47] (1127.48s)
put apparently my materials up and it's
[18:49] (1129.60s)
like, I don't expect anyone to vote
[18:50] (1130.84s)
against this. Take your vote. He said
[18:53] (1133.12s)
that? Yeah. And apparently it was
[18:54] (1134.28s)
unanimous. So, it's like, thank you,
[18:55] (1135.64s)
Greg. Um deeply appreciate it. So, Greg,
[18:58] (1138.04s)
I didn't have to deal with that
[18:59] (1139.24s)
because uh Greg was dealing with it for
[19:01] (1141.04s)
me. Um and it was kind of like, you
[19:02] (1142.72s)
know, honestly, it was kind of a
[19:03] (1143.52s)
validation of my hypothesis. Like, Greg
[19:05] (1145.44s)
honestly viewed it more of a reflection
[19:06] (1146.88s)
on the company than a reflection on me.
[19:08] (1148.28s)
It's like, great. I had done work that
[19:10] (1150.20s)
was at some level kind of indisputable
[19:12] (1152.04s)
and that's kind of the way I I had
[19:13] (1153.20s)
wanted to chart my career. I I think
[19:14] (1154.96s)
there's two schools of thoughts on on,
[19:16] (1156.88s)
you know, how people structure their
[19:18] (1158.00s)
careers within these, I guess, ladders.
[19:20] (1160.80s)
If a really ambitious new graduate
[19:23] (1163.48s)
engineer comes to you and say, "Hey, I
[19:25] (1165.32s)
want to be a distinguished engineer one
[19:28] (1168.52s)
I have two ideas. One idea is I'm going
[19:31] (1171.12s)
to just focus on the work and just, you
[19:35] (1175.20s)
know, promotions will be a byproduct. Or
[19:37] (1177.68s)
I'm going to do the other thing where
[19:40] (1180.52s)
Yeah, I talk to my manager. I'm like,
[19:41] (1181.80s)
"Hey, how do I get to that next level?"
[19:43] (1183.40s)
And "Hey, what are those things that the
[19:45] (1185.24s)
next level needs to do?" And then I will
[19:48] (1188.24s)
do work that molds to that mold.
[19:51] (1191.96s)
Yeah, I would try to to steer someone
[19:53] (1193.64s)
with a third path. What's the third
[19:55] (1195.84s)
>> Like, what Why? Why do you want to be
[19:57] (1197.24s)
What What is it Why do you want to be a
[19:58] (1198.64s)
distinguished engineer? Because
[20:00] (1200.72s)
if that's the goal, if the goal is to be
[20:02] (1202.72s)
a distinguished engineer, you you get
[20:04] (1204.64s)
there. You'll be a distinguished
[20:05] (1205.48s)
engineer. Now what?
[20:07] (1207.64s)
I mean, you
[20:10] (1210.88s)
you can be so fixated on that. It's like
[20:13] (1213.52s)
it doesn't at some level it doesn't that
[20:17] (1217.04s)
doesn't actually That's not the thing
[20:18] (1218.68s)
that matters. That's That doesn't give
[20:21] (1221.08s)
you meaning.
[20:22] (1222.36s)
And to me, if I had a young engineer
[20:23] (1223.80s)
who's like, "I'm I want to be a
[20:25] (1225.00s)
distinguished engineer." I'm like,
[20:26] (1226.12s)
"That's a recipe for a midlife crisis."
[20:27] (1227.64s)
So, what what the what the what What's
[20:29] (1229.28s)
try to dial you differently.
[20:31] (1231.80s)
And I think that what I think what you
[20:33] (1233.60s)
would what I would steer someone to is
[20:36] (1236.12s)
What What's get you on a path that has
[20:39] (1239.76s)
meaning, where you're going to be
[20:41] (1241.48s)
developing, and what drives meaning for
[20:44] (1244.20s)
you. What's important to you? And it's
[20:46] (1246.32s)
like, "Well, what's What's important to
[20:47] (1247.48s)
me is to be a distinguished engineer."
[20:48] (1248.52s)
I'll be like, "Okay."
[20:49] (1249.96s)
I mean, you you'd want to tease it
[20:51] (1251.28s)
apart. Get them on the couch a little
[20:52] (1252.36s)
bit. Like, why I mean, are you not Were
[20:53] (1253.88s)
you not loved enough as a child? Like,
[20:55] (1255.00s)
what's going on? Like, you know, you
[20:57] (1257.16s)
And and you know, kind of work through
[20:59] (1259.12s)
some of these issues because you don't
[21:01] (1261.00s)
want to be dependent on that kind of
[21:02] (1262.96s)
external validation.
[21:05] (1265.08s)
You I would want to be like, "Let let
[21:06] (1266.88s)
introduce you to people who've achieved
[21:09] (1269.04s)
what you are putatively setting out as
[21:10] (1270.84s)
your goal and are miserable. Like, let
[21:13] (1273.48s)
me introduce you to some miserable D's.
[21:15] (1275.12s)
You want to be wealthy? Let me introduce
[21:16] (1276.56s)
you to some miserable wealthy people.
[21:18] (1278.64s)
So, you know that it's like that's
[21:21] (1281.32s)
that can't be it. It's
[21:23] (1283.80s)
there's got to be something else that
[21:26] (1286.52s)
that is that the fuel in that furnace.
[21:28] (1288.76s)
And like, let's go find that thing. And
[21:31] (1291.00s)
and and then we then then the like the
[21:33] (1293.08s)
promotions will happen and the work will
[21:34] (1294.68s)
happen.
[21:35] (1295.84s)
Okay, but let's say okay, mente comes to
[21:38] (1298.28s)
you and says
[21:39] (1299.80s)
you have a good point. I want financial
[21:42] (1302.12s)
independence. A lot of people I think
[21:43] (1303.96s)
want that. Is they
[21:45] (1305.60s)
they want to Yeah, what's financial
[21:47] (1307.08s)
independence though? Because like we are
[21:48] (1308.84s)
in such a well-compensated domain. It's
[21:50] (1310.80s)
like you and I right now could go out
[21:53] (1313.52s)
and get a cup of coffee
[21:56] (1316.08s)
that is the best cup of coffee in the
[21:58] (1318.04s)
We're in San Francisco, we're in the
[21:58] (1318.96s)
mission.
[21:59] (1319.92s)
We can get some coffee that is like some
[22:01] (1321.32s)
Ethiopian coffee, some amazing coffee
[22:03] (1323.96s)
that is like club and that is attainable
[22:06] (1326.84s)
to you and me and and to basically
[22:09] (1329.80s)
everyone else. It's like a $6 cup of
[22:11] (1331.64s)
coffee.
[22:13] (1333.08s)
Right? Yeah, yeah. Well, okay. Well,
[22:15] (1335.36s)
let's say you define it as, you don't
[22:17] (1337.76s)
need to work for money ever again.
[22:19] (1339.96s)
But then what?
[22:21] (1341.28s)
I I mean, this is like okay, you don't
[22:22] (1342.48s)
need to work for money ever again. Like,
[22:23] (1343.72s)
okay, I get that. But but so you can go
[22:26] (1346.36s)
off and do the thing that actually
[22:27] (1347.32s)
motivates you. Well, then go off and do
[22:28] (1348.48s)
the thing that actually motivates you.
[22:30] (1350.32s)
What if it doesn't make money? Well, I
[22:31] (1351.88s)
think it and I
[22:33] (1353.12s)
Well, this is where I you want to take
[22:34] (1354.44s)
it apart. And so like you want to find a
[22:36] (1356.96s)
way I mean, certainly you're going to
[22:38] (1358.12s)
have things like
[22:39] (1359.48s)
the the the the difference that you want
[22:42] (1362.24s)
to make, the meaning that you're going
[22:43] (1363.36s)
to find is going to be something that's
[22:45] (1365.40s)
like, yeah, this is this is just not a
[22:46] (1366.88s)
career path at all. Like, I can't
[22:48] (1368.44s)
actually sustain myself at all. So, then
[22:50] (1370.64s)
you need to find a way to balance that,
[22:52] (1372.52s)
I would say, with your career.
[22:54] (1374.76s)
And you want to keep that balanced. I
[22:55] (1375.68s)
think it I also think it's a mistake to
[22:57] (1377.12s)
be like, I'm going to achieve financial
[22:58] (1378.60s)
independence and then I'm going to do
[23:00] (1380.12s)
the thing that is meaningful to me. It's
[23:01] (1381.92s)
like And again, you just And I I
[23:04] (1384.68s)
definitely had the blessing of know Most
[23:07] (1387.64s)
people were like me. Made a lot of money
[23:10] (1390.52s)
on paper in the dot com boom and just
[23:12] (1392.96s)
lost every penny of it. I mean, I had a
[23:14] (1394.76s)
I had a loss carry forward for so many
[23:17] (1397.00s)
years that I actually like One year I
[23:19] (1399.12s)
lost track of my loss carry forward. I'm
[23:20] (1400.84s)
like, "I got to I I just So But I had a
[23:22] (1402.48s)
loss carry forward I that And I was
[23:24] (1404.60s)
like, "You know, I had like fun memories
[23:25] (1405.92s)
of the dot com bubble when I would take
[23:27] (1407.12s)
my whatever it was, $3,000 a year
[23:28] (1408.96s)
against my from a loss carry forward."
[23:31] (1411.28s)
Um the That was most people around here.
[23:33] (1413.48s)
Most people kind of like
[23:36] (1416.04s)
lost it all, but also were fine. And I
[23:38] (1418.96s)
think this is the other thing. Like the
[23:40] (1420.04s)
dot com bust was super helpful because
[23:42] (1422.72s)
if you had geared yourself to be really
[23:45] (1425.52s)
economically motivated
[23:47] (1427.64s)
in '99, 2000, '98, '99, 2000, which
[23:50] (1430.04s)
would have been easy.
[23:51] (1431.60s)
2001, 2002, 2003, like you That was not
[23:54] (1434.28s)
why you were here.
[23:55] (1435.52s)
Because this place was nuclear winter.
[23:58] (1438.68s)
And And you had had to find something
[24:02] (1442.00s)
else. And I I knew like So the funny
[24:04] (1444.60s)
thing I knew like lots of people that
[24:06] (1446.04s)
like had to remind themselves why they
[24:09] (1449.20s)
got in this, and it wasn't money. I also
[24:11] (1451.20s)
knew people I didn't know people that
[24:12] (1452.84s)
made a bunch of money in the dot com
[24:13] (1453.96s)
boom. The people that made a bunch of
[24:15] (1455.48s)
money in the dot com boom weren't that
[24:17] (1457.00s)
interested in tech to begin with. So
[24:19] (1459.04s)
when it went up in, you know, late '99,
[24:22] (1462.36s)
2000, they're like, "I'm selling it all.
[24:24] (1464.76s)
Like I actually don't want to do this."
[24:26] (1466.76s)
And those people, and there are a couple
[24:29] (1469.44s)
of them that I know, and some of them
[24:30] (1470.84s)
really really struggled in the next
[24:33] (1473.20s)
decade cuz they didn't have to work for
[24:35] (1475.08s)
the rest of their lives. But now what?
[24:37] (1477.28s)
Like you don't have to work, so like now
[24:38] (1478.60s)
what do you do? And And they were on
[24:39] (1479.92s)
their own search for meaning. And like
[24:42] (1482.52s)
not easy. And going through periods of
[24:44] (1484.68s)
like, "Oh, like I'll buy six houses."
[24:46] (1486.16s)
Then you realize like six houses are
[24:48] (1488.20s)
kind of like a pain in the ass. It's
[24:50] (1490.04s)
like you and I could go drink six cups
[24:51] (1491.96s)
of coffee concurrently, but you're just
[24:53] (1493.28s)
like, "What am I doing here? Am I just
[24:54] (1494.68s)
like proving that I can buy six cups of
[24:56] (1496.20s)
So like why do I want six houses? All
[24:57] (1497.72s)
right, then I then I then you you scale
[24:59] (1499.92s)
that way back. I mean, it gives you like
[25:01] (1501.96s)
it really opens your eyes about what
[25:04] (1504.56s)
matters and what doesn't matter. What
[25:07] (1507.32s)
doesn't matter as much. Certainly, you
[25:09] (1509.16s)
need to be able to provide for yourself
[25:10] (1510.80s)
and provide for for a family. You want
[25:12] (1512.84s)
to be able to raise a family and so on.
[25:15] (1515.24s)
So, you want to be able to have that
[25:16] (1516.88s)
But, you want to do that in a way that's
[25:17] (1517.88s)
honestly sustainable. I think that that
[25:19] (1519.72s)
too many folks are focused on like, I'm
[25:21] (1521.04s)
going to do this so I can leave. It's
[25:23] (1523.20s)
then maybe you shouldn't be in this
[25:23] (1523.96s)
industry at all. Like, go do It's like,
[25:25] (1525.16s)
go do the thing you would do when you
[25:26] (1526.48s)
left and find a way to do that in a way
[25:30] (1530.00s)
like and go pursue that dream. And cuz
[25:33] (1533.20s)
you'll be you'll be happier. You'll
[25:34] (1534.56s)
you'll have meaning doing that. Quit
[25:37] (1537.80s)
your job at Meta and become a podcaster,
[25:39] (1539.60s)
you know?
[25:40] (1540.00s)
>> Oh, well, I did Yeah, [laughter] yeah,
[25:41] (1541.32s)
yeah, yeah, yeah, yeah, yeah, yeah,
[25:41] (1541.80s)
yeah, exactly.
[25:43] (1543.32s)
Well, um
[25:44] (1544.36s)
yeah, it's it's uh it's interesting you
[25:46] (1546.60s)
say that because there's this um
[25:48] (1548.68s)
there's this subreddit, this community
[25:50] (1550.52s)
that's all about uh financial
[25:52] (1552.56s)
independence, earning enough, and
[25:54] (1554.08s)
>> Yeah. Oh, Jesus.
[25:55] (1555.00s)
>> see a a very regular post that says,
[25:58] (1558.88s)
"Guys, I did it and I don't know what to
[26:01] (1561.56s)
do now."
[26:02] (1562.04s)
>> Oh, yeah, exactly. [laughter]
[26:04] (1564.28s)
Yeah. I did it. I did And also like I
[26:06] (1566.32s)
geared I mean, I think this is like this
[26:07] (1567.88s)
is a problem, by the way, in
[26:08] (1568.64s)
engineering, not even in the
[26:11] (1571.72s)
even when the goal was has meaning, this
[26:13] (1573.88s)
is a problem. This is what I This is
[26:15] (1575.04s)
what I call postpartum in engineering.
[26:17] (1577.40s)
you are really focused on shipping
[26:18] (1578.84s)
something and you're just like,
[26:20] (1580.60s)
"Shipping this thing is just the lens
[26:22] (1582.48s)
through which you're doing everything."
[26:24] (1584.20s)
And when we shipped our first rocket
[26:25] (1585.56s)
oxide, I was very concerned about like,
[26:27] (1587.68s)
"We are going to have postpartum." And
[26:29] (1589.48s)
there are going to be people who are
[26:30] (1590.52s)
like, "I was working so hard and pulling
[26:32] (1592.60s)
so hard for so long and now we shipped
[26:34] (1594.76s)
it and like, now what?" And I'm I So,
[26:37] (1597.24s)
even when the thing you've done is
[26:38] (1598.68s)
obviously meaningful and you've achieved
[26:40] (1600.64s)
something extraordinary, you're going to
[26:42] (1602.04s)
have that. When the thing you've also
[26:44] (1604.00s)
achieved is like, "Well, I can like buy
[26:46] (1606.68s)
any cup of coffee I want." It's like,
[26:48] (1608.08s)
"The thing I want like now I'm not even
[26:49] (1609.28s)
sure I got I got like what am I supposed
[26:50] (1610.40s)
to do?" I
[26:52] (1612.12s)
it's just easy to see
[26:54] (1614.28s)
how you people be wonder what the
[26:57] (1617.84s)
meaning of it really is. And then there
[26:59] (1619.24s)
are some people that are just like snip
[27:00] (1620.96s)
all the wires and they're like, well,
[27:02] (1622.00s)
the meaning of it is to get even more.
[27:03] (1623.32s)
And then just like, you know,
[27:05] (1625.00s)
then you get like Larry Ellison or
[27:06] (1626.16s)
whatever. But like
[27:07] (1627.44s)
that's also not something that people
[27:08] (1628.52s)
should aspire to. Right. I Well, what
[27:11] (1631.28s)
would you say cuz I I do know someone
[27:13] (1633.16s)
who is genuinely happy
[27:16] (1636.16s)
just doing nothing.
[27:18] (1638.44s)
By doing nothing, I just mean like
[27:21] (1641.08s)
relaxing in bed, you know, watching
[27:23] (1643.04s)
their shows, you know, going to hanging
[27:25] (1645.52s)
out with friends and stuff. I think if
[27:27] (1647.64s)
they had a billion dollars, they'd just
[27:28] (1648.76s)
do that every day. Yeah. But what you
[27:31] (1651.76s)
said doesn't work in that case cuz that
[27:34] (1654.08s)
doesn't earn anything. I you know, I
[27:36] (1656.48s)
actually did know a guy I knew a guy who
[27:38] (1658.48s)
I actually did know a guy who did this
[27:39] (1659.88s)
who I was I'm thinking about people who
[27:41] (1661.48s)
made money that I know
[27:42] (1662.52s)
I knew one of
[27:44] (1664.16s)
I I believe one of Yahoo's like first
[27:47] (1667.24s)
employees, but not because he was like
[27:50] (1670.04s)
crazy sharp or anything. Because he like
[27:52] (1672.24s)
they they wanted to hire a web surfer
[27:55] (1675.00s)
and he was like a pothead who was like
[27:56] (1676.96s)
this like this sounds like the level of
[27:59] (1679.24s)
work that I'm a So, he gets a job as
[28:01] (1681.48s)
like a web surfer one at Yahoo, but as
[28:03] (1683.68s)
like employee number like single digit.
[28:06] (1686.44s)
He gets the equity grant as part of like
[28:08] (1688.88s)
joining the company. Never gets another
[28:10] (1690.48s)
equity grant, but makes a king's ransom
[28:13] (1693.72s)
because he's very early at Yahoo.
[28:16] (1696.04s)
Never promoted above like web server
[28:18] (1698.12s)
rank one or whatever and was complaining
[28:20] (1700.36s)
to everybody about how much his job
[28:21] (1701.92s)
sucked. Everyone was like, you surf the
[28:23] (1703.92s)
web for a living. Like you've somehow
[28:26] (1706.20s)
managed to like win this insane lottery
[28:29] (1709.48s)
where you're getting paid to do like
[28:31] (1711.04s)
very close to nothing. And he like at
[28:32] (1712.92s)
when it started, he owned like all of
[28:35] (1715.04s)
Yahoo in terms of like surfing. Cuz the
[28:36] (1716.68s)
way Yahoo worked, you you may be
[28:38] (1718.08s)
wondering what the hell I'm even talking
[28:39] (1719.08s)
about. Yahoo was a curated directory of
[28:41] (1721.68s)
links. Like this is again where I sound
[28:43] (1723.04s)
like a pre-Google.
[28:44] (1724.44s)
Very much pre-Google. This is like
[28:46] (1726.00s)
pre-Google This is not just pretty
[28:47] (1727.28s)
Google. This is like pre-Lycos,
[28:48] (1728.92s)
pre-Hotbot, pre-Altavista. This is This
[28:51] (1731.56s)
is like basically pre the ability to
[28:54] (1734.40s)
search the internet.
[28:56] (1736.16s)
You would have these curated directory
[28:58] (1738.12s)
of links. And someone needs to go like
[29:00] (1740.76s)
find this content. And it was like this
[29:02] (1742.72s)
guy, Yahoo employee number six or
[29:04] (1744.32s)
whatever he was.
[29:05] (1745.52s)
And so he originally like owned the
[29:07] (1747.04s)
entire directory, but he's like not very
[29:08] (1748.80s)
good and not very energetic and was
[29:09] (1749.96s)
like, you know, stoned all the time. So
[29:12] (1752.36s)
they kind of like carved It's a Finally
[29:14] (1754.08s)
he I I believe at the end, before he
[29:16] (1756.12s)
finally quit, he owned only like
[29:18] (1758.48s)
snowboarding in northern California.
[29:20] (1760.96s)
That's what it was his like
[29:22] (1762.04s)
responsibility
[29:23] (1763.56s)
to It's like, this is a job? And
[29:26] (1766.92s)
So that is the kind of person who was
[29:27] (1767.96s)
And you would like to think that that he
[29:29] (1769.72s)
found something that was actually
[29:30] (1770.80s)
meaningful to him, but clearly it was
[29:32] (1772.20s)
not the work or work for that matter.
[29:34] (1774.20s)
Right. Um You said earlier there were
[29:36] (1776.80s)
these ratings was superlative excellent
[29:40] (1780.48s)
>> something like that. Yeah, yeah, yeah. I
[29:41] (1781.64s)
noticed you didn't mention there's
[29:43] (1783.48s)
there's a bad rating or something.
[29:44] (1784.68s)
>> Right. There was a Yeah, no, there were
[29:46] (1786.80s)
there was not Basically not. Sun did not
[29:50] (1790.92s)
um the the idea of like a PIP or the
[29:54] (1794.24s)
whole like rank and yank, which is what
[29:55] (1795.92s)
Intel famously did.
[29:57] (1797.60s)
Um the Rank and yank? The rank and yank.
[30:00] (1800.48s)
Is that Is that just stack ranking and
[30:02] (1802.36s)
firing people?
[30:02] (1802.80s)
>> was It was their name for stack ranking.
[30:04] (1804.36s)
Yeah. It was It was It was rank and
[30:05] (1805.60s)
yank. Um
[30:06] (1806.68s)
yeah, stack rank Stack ranking is
[30:08] (1808.44s)
organizational cancer. It is It is very,
[30:10] (1810.68s)
very, very bad news. When you especially
[30:13] (1813.00s)
if you are going to terminate a bottom
[30:15] (1815.36s)
end percent, that is um that's death. I
[30:18] (1818.56s)
I I really think that is just a a
[30:20] (1820.40s)
wall-to-wall terrible idea because you
[30:22] (1822.24s)
incentivize people to have dead weight
[30:24] (1824.28s)
on their teams um that they can that Oh,
[30:26] (1826.72s)
is that Oh, so they have fodder to
[30:29] (1829.28s)
>> someone to throw into the wood chipper.
[30:31] (1831.12s)
Oh, wait, so you think that a manager
[30:33] (1833.20s)
strategically keeping around
[30:35] (1835.68s)
>> Oh, I know so. I mean that definitely
[30:36] (1836.88s)
happened at Sun, for sure. Oh, yeah, for
[30:38] (1838.76s)
sure. I mean there were people that were
[30:39] (1839.84s)
like, why are they still here? Like they
[30:41] (1841.72s)
don't They don't know what they seem to
[30:42] (1842.96s)
be doing anything. And someone kind of
[30:44] (1844.52s)
took me aside and was like, "Yeah, that
[30:46] (1846.16s)
person is in your best interest because
[30:48] (1848.44s)
like do you know what that person's
[30:49] (1849.56s)
rating is? It is always like good."
[30:52] (1852.40s)
Like they they get a good so you can be
[30:54] (1854.88s)
an excellent or a superlative. And I'm
[30:56] (1856.36s)
again, I'm like, "Does this make sense
[30:57] (1857.56s)
to you? Like why are we okay?"
[31:00] (1860.20s)
So you know all sorts of perverse
[31:02] (1862.24s)
incentives. All sorts of perverse
[31:03] (1863.80s)
incentives with with stack ranking. Was
[31:05] (1865.36s)
that stack ranking fundamentally you
[31:08] (1868.20s)
that stack ranking teaches you that your
[31:10] (1870.08s)
team are adversaries.
[31:13] (1873.44s)
that's a bad idea. That is and it's just
[31:15] (1875.28s)
not the way I want to operate. Like they
[31:16] (1876.64s)
the my big belief is that that teams do
[31:21] (1881.60s)
extraordinary things.
[31:23] (1883.16s)
And that everybody should want to be
[31:25] (1885.36s)
serving the team. It is it is the team
[31:28] (1888.60s)
that wins or loses. The team that
[31:30] (1890.60s)
succeeds. And I I think that stack
[31:33] (1893.00s)
ranking really operates very much
[31:34] (1894.96s)
contrary to that. You mentioned that
[31:39] (1899.56s)
I mean the stock stock price went down
[31:40] (1900.76s)
by 98% Yeah, yeah. Trading below our
[31:43] (1903.48s)
cash at one point.
[31:44] (1904.80s)
>> I mean was there not some management at
[31:47] (1907.32s)
some point saying, "Hey, we got to
[31:49] (1909.20s)
it's time to Oh, we did I mean mass
[31:51] (1911.96s)
layoffs
[31:52] (1912.60s)
>> no. Sun did I mean Sun resisted layoffs
[31:56] (1916.08s)
for a little while. Scott was kind of
[31:57] (1917.56s)
famously did not McNealy famously did
[31:59] (1919.40s)
not want to lay people off but that was
[32:00] (1920.60s)
which was a mistake. He waited too long
[32:01] (1921.80s)
for that. Um but no, once the layoff
[32:03] (1923.88s)
started I mean I think at one point I
[32:05] (1925.92s)
counted the the number of layoffs that
[32:08] (1928.80s)
had the rounds layoffs was like 35
[32:11] (1931.00s)
layoffs. 35 rounds of layoffs over like
[32:13] (1933.52s)
eight years.
[32:14] (1934.60s)
That's I mean it's more than four a
[32:16] (1936.72s)
>> Yeah, yeah, yeah, yeah, absolutely.
[32:17] (1937.60s)
Yeah, no, it was it was brutal. That's
[32:19] (1939.44s)
that's insane.
[32:20] (1940.28s)
>> And well, you get these like small
[32:21] (1941.36s)
layoffs, big layoffs. I mean this is
[32:22] (1942.84s)
actually before the Warn Act, I think.
[32:25] (1945.44s)
Um but you would get We actually I mean
[32:26] (1946.88s)
this is dark. But we you could you could
[32:32] (1952.36s)
There was an API effectively to the
[32:35] (1955.40s)
well, well, this is like before the era
[32:37] (1957.36s)
of rest APIs, but
[32:39] (1959.16s)
there was a way to get the employee
[32:40] (1960.96s)
directory programmatically. And so, we
[32:43] (1963.60s)
would run what we called the obits, and
[32:45] (1965.60s)
the obits would run every day and would
[32:47] (1967.44s)
tell you who was no longer at the
[32:48] (1968.60s)
company. And so, you would see these
[32:50] (1970.60s)
small layoffs that were not actually
[32:52] (1972.32s)
like you you would see, you know, a
[32:53] (1973.84s)
group that was like or you would see and
[32:56] (1976.20s)
then you would see like, "Oh my god,
[32:57] (1977.16s)
like that's 1,500 people or that's 3,000
[32:59] (1979.24s)
in today's obits."
[33:01] (1981.12s)
Was the company aware that you had that
[33:03] (1983.36s)
access to that data?
[33:06] (1986.04s)
That seems like Sun you
[33:08] (1988.28s)
Sun's strength and weakness was that no
[33:10] (1990.00s)
one was truly in charge. So, I mean, I
[33:12] (1992.96s)
think it would not have been I would not
[33:15] (1995.16s)
have been surprising.
[33:17] (1997.48s)
But, I mean, Sun to its credit was a
[33:20] (2000.04s)
pretty transparent company. So, I don't
[33:21] (2001.76s)
think that we would have I think that we
[33:24] (2004.20s)
weren't violating any kind of policy. We
[33:26] (2006.20s)
were accessing a we were accessing the
[33:27] (2007.72s)
org tool, which was the tool they had to
[33:29] (2009.80s)
show you kind of organizational layout.
[33:31] (2011.16s)
So, we weren't doing anything untoward,
[33:33] (2013.72s)
but it was a way for us to know like
[33:35] (2015.48s)
what's happening in the company as the
[33:37] (2017.52s)
Sun had was layoff after layoff after
[33:39] (2019.04s)
layoff after layoff after layoff. That I
[33:41] (2021.04s)
mean, 35 layoffs that's
[33:43] (2023.68s)
almost yeah, that's crazy. I um
[33:46] (2026.00s)
>> But, that was everybody, too. Again,
[33:47] (2027.56s)
that was not like
[33:49] (2029.36s)
oh like
[33:51] (2031.36s)
the it is hard to express the period
[33:54] (2034.80s)
from the dot-com bust when you know,
[33:57] (2037.32s)
kind of pets.com craters in in the
[33:59] (2039.52s)
spring of 2000 that kind of ran on on
[34:03] (2043.52s)
momentum until the end of 2000. And at
[34:06] (2046.52s)
the end of 2000, the dot-com bubble
[34:07] (2047.88s)
truly truly burst for everybody
[34:10] (2050.40s)
for Sun included.
[34:12] (2052.12s)
And then
[34:13] (2053.28s)
and 9/11 did not help, right? So,
[34:15] (2055.88s)
what was and the economy was tech was
[34:18] (2058.80s)
basically dead for five years.
[34:22] (2062.72s)
And and Y Combinator is formed kind of
[34:25] (2065.24s)
at that Y Combinator is I think 2006.
[34:28] (2068.88s)
I see.
[34:30] (2070.40s)
And starts to form and I think in part
[34:32] (2072.56s)
because I think you know, you have to
[34:34] (2074.64s)
take Graham's perspective on this, but
[34:36] (2076.12s)
but the
[34:37] (2077.48s)
I mean
[34:38] (2078.36s)
there was a there was a capital deficit
[34:41] (2081.36s)
at that point. There were like people
[34:42] (2082.56s)
that could solve interesting things and
[34:43] (2083.88s)
there was like no way to start a company
[34:45] (2085.44s)
to go do it. Um so the it was really
[34:48] (2088.52s)
really bleak here for many many years. I
[34:50] (2090.40s)
see. Slightly off topic, but I I was
[34:53] (2093.08s)
stalking your Twitter and I saw that
[34:54] (2094.96s)
Paul Graham had blocked you. Do you know
[34:57] (2097.44s)
is Oh, Paul Graham blocked me. He didn't
[34:59] (2099.36s)
block me. I think he Yeah, that was a
[35:01] (2101.12s)
point of pride. I I did feel like I felt
[35:02] (2102.64s)
like I'd really arrived when Paul Graham
[35:03] (2103.96s)
blocked me. Yeah, Paul Graham blocked
[35:05] (2105.48s)
me. Yeah, I definitely feel like I'm I'm
[35:06] (2106.56s)
on the right side of history on that
[35:07] (2107.76s)
one. Um Well, what do you think that was
[35:09] (2109.76s)
for? Uh no, I know what that was for. Um
[35:12] (2112.16s)
that was for um I think that uh Paul
[35:14] (2114.60s)
Graham was
[35:16] (2116.00s)
uh defending some of the worst behavior
[35:17] (2117.84s)
of Richard Stallman. And the worst
[35:19] (2119.00s)
behavior of Richard Stallman does not
[35:20] (2120.24s)
age very well. It's truly truly uh some
[35:23] (2123.80s)
pretty gross kind of behavior.
[35:25] (2125.56s)
Uh and he was defending that and I was
[35:27] (2127.48s)
attacking him for it and he was blocking
[35:28] (2128.92s)
me for that. So like, all right. Uh I'll
[35:31] (2131.20s)
take that. Um
[35:33] (2133.08s)
Yeah, I mean Paul Graham is complicated
[35:34] (2134.24s)
for me. He uh there were there are a
[35:36] (2136.32s)
couple of people like this in Silicon
[35:37] (2137.96s)
Valley that are complicated in that
[35:39] (2139.56s)
there are uh says some things that I
[35:42] (2142.12s)
really strongly agree with and some
[35:44] (2144.24s)
things that I really strongly disagree
[35:46] (2146.68s)
with. Um often in the same sentence. So
[35:49] (2149.28s)
often and you're just like like my
[35:50] (2150.84s)
brain's getting zapped. Like, okay, this
[35:52] (2152.60s)
is like wrong but also not wrong and uh
[35:55] (2155.80s)
so Um yeah, he's he's he's he's a
[35:57] (2157.76s)
complicated one. There are a couple of
[35:58] (2158.68s)
people like that.
[36:00] (2160.36s)
I understand that Sun Microsystems was
[36:02] (2162.28s)
eventually acquired by Oracle. Yes,
[36:04] (2164.72s)
invaded. Yeah. And uh I just want to
[36:07] (2167.68s)
know why was it so controversial at the
[36:09] (2169.72s)
time? There's even a Wikipedia page that
[36:11] (2171.32s)
says the acquisition of Sun Microsystems
[36:14] (2174.84s)
and there's it's almost like an obituary
[36:16] (2176.96s)
and there's
[36:18] (2178.00s)
a lot of top level engineers who Um
[36:20] (2180.96s)
well, it was
[36:22] (2182.48s)
it was traumatic.
[36:24] (2184.36s)
Um there's actually a really interesting
[36:26] (2186.12s)
SEC filing because it's a public company
[36:28] (2188.08s)
that IBM and HP were both jockeying to
[36:30] (2190.48s)
try to buy Sun. And each was trying to
[36:32] (2192.84s)
sabotage the other and each was trying
[36:35] (2195.36s)
to get the kind of
[36:37] (2197.28s)
because they almost wanted to buy Sun
[36:40] (2200.00s)
punitively. They were both competitors
[36:41] (2201.68s)
with Sun. Um and while they were kind of
[36:44] (2204.80s)
screwing with one another, Oracle swept
[36:47] (2207.04s)
in and bought the company.
[36:48] (2208.40s)
Um so um
[36:50] (2210.32s)
Oracle that happened really quickly. Um
[36:53] (2213.96s)
the actual acquisition itself was not
[36:55] (2215.28s)
really controversial. It took a while to
[36:56] (2216.40s)
close. Um what what I mean to
[36:59] (2219.76s)
to the contrary, I mean there's nothing
[37:00] (2220.88s)
like really controversial about Oracle
[37:03] (2223.12s)
because Oracle is what it is. Um Oracle
[37:05] (2225.80s)
is just there's not a lot of depth to
[37:08] (2228.24s)
Oracle. Um Oracle is just an octopus
[37:10] (2230.80s)
that knows how to feed itself and the
[37:15] (2235.28s)
the Sun was very much not that way. Sun
[37:18] (2238.12s)
was there was a there was a level I
[37:19] (2239.64s)
wouldn't call purism, but there was Sun
[37:22] (2242.32s)
was always endeavoring to do the right
[37:25] (2245.60s)
thing by its customers. Sun was
[37:27] (2247.68s)
endeavoring to to solve hard interesting
[37:29] (2249.88s)
technical problems that had commercial
[37:32] (2252.80s)
relevance and
[37:34] (2254.68s)
it gave its engineers us tremendous
[37:37] (2257.48s)
freedom to go do so. And and it tended
[37:40] (2260.88s)
to do attract people that wanted to to
[37:44] (2264.00s)
do that that wanted to do that was
[37:46] (2266.36s)
wanted to be bold and
[37:48] (2268.88s)
it was it was a great place for that
[37:50] (2270.28s)
reason because it rewarded that kind of
[37:51] (2271.88s)
technical boldness. So that's why you
[37:54] (2274.68s)
and if I had Spark and Java and and
[37:57] (2277.16s)
Solaris and all the technologies that I
[37:58] (2278.60s)
worked on, you know, all these things
[38:00] (2280.00s)
came out of Sun. There were so many of
[38:01] (2281.32s)
these like seminal technologies that
[38:02] (2282.84s)
came out of Sun because of
[38:05] (2285.04s)
of that kind of that passion and
[38:06] (2286.20s)
independence. Oracle doesn't have any of
[38:07] (2287.44s)
that. Oracle's just like
[38:09] (2289.16s)
Oracle it truly is is focused on really
[38:13] (2293.08s)
on on one thing, namely its own
[38:14] (2294.96s)
profitability which is like I thought
[38:17] (2297.00s)
what when the acquisition happened I'm
[38:18] (2298.20s)
like well this will be interesting cuz
[38:19] (2299.16s)
we'll get someone with like great
[38:20] (2300.56s)
business savvy maybe. One of the things
[38:22] (2302.48s)
that was frustrating me about Sun is
[38:24] (2304.08s)
that Sun um on terms of business
[38:26] (2306.44s)
execution, Sun fell down a bunch of
[38:28] (2308.60s)
times. And I thought we would have
[38:30] (2310.28s)
someone in Oracle that would be just
[38:31] (2311.60s)
better at the execution of a commercial
[38:33] (2313.92s)
enterprise. Uh as it turns out, I was
[38:36] (2316.00s)
really overestimating Oracle. Um Oracle
[38:38] (2318.68s)
really is about um
[38:40] (2320.96s)
being able to to get effectively a
[38:43] (2323.20s)
monopoly, a natural monopoly over its
[38:45] (2325.64s)
own customers, asphyxiating competition,
[38:48] (2328.52s)
and then raising the rent on its
[38:49] (2329.96s)
customers. Like that is really what
[38:52] (2332.44s)
Oracle wanted to go do. Um and it's not
[38:55] (2335.20s)
a company I wanted to work for.
[38:56] (2336.88s)
I see. Because I had there's a talk that
[39:00] (2340.00s)
you gave that where you really uh I
[39:01] (2341.92s)
mean, you know, I didn't even Yeah, I
[39:03] (2343.68s)
know you're talking about The the talk
[39:04] (2344.88s)
is crazy.
[39:05] (2345.64s)
>> the Lisa talk from 2011. Yeah, before
[39:08] (2348.32s)
you even got to talking about it, you
[39:10] (2350.96s)
said, "I'm going to try and make it
[39:13] (2353.00s)
through this slide without crying." Oh,
[39:15] (2355.24s)
that was on the the the Sun side.
[39:17] (2357.00s)
>> Yeah, yeah. And then I think you were
[39:19] (2359.36s)
talking about Oracle and you said that
[39:21] (2361.40s)
they screw customers and lie. I guess
[39:23] (2363.88s)
you explained the screw customers part,
[39:26] (2366.36s)
but what's the lie part of of Oracle?
[39:30] (2370.36s)
>> Yeah. Oracle is
[39:33] (2373.00s)
um has made many promises to its own
[39:35] (2375.36s)
customers that it does not keep. Oracle
[39:37] (2377.16s)
does not has not earned the trust of its
[39:38] (2378.80s)
customers. If you ask customers, "Do you
[39:40] (2380.32s)
trust Oracle?" the answer to that will
[39:41] (2381.40s)
be no.
[39:42] (2382.40s)
And I would kind of let that speak for
[39:43] (2383.56s)
itself. Um the yeah, the the making that
[39:45] (2385.80s)
slide without crying bit was not about
[39:47] (2387.36s)
Oracle, that was about very much about
[39:49] (2389.76s)
Um and that was the and the the I
[39:53] (2393.36s)
Scott McNealy's
[39:55] (2395.36s)
epitaph for Sun. Kick butt, had fun,
[39:57] (2397.92s)
didn't she? Loved her customers, changed
[39:59] (2399.64s)
computing forever.
[40:00] (2400.16s)
>> Yeah, you said that. Yeah, yeah.
[40:01] (2401.12s)
>> Yeah, that was the bit that And like it
[40:02] (2402.88s)
still chokes me up a little bit just
[40:04] (2404.60s)
because
[40:06] (2406.12s)
it it's true. It was true. And we um
[40:09] (2409.80s)
when we started Oxide, we like adopted
[40:12] (2412.56s)
that as our own mission because that
[40:14] (2414.84s)
that's It's what we wanted to go do at
[40:16] (2416.24s)
Oxide.
[40:17] (2417.36s)
Um and I thought it was a very uh
[40:19] (2419.04s)
concise distillation of that. And that
[40:20] (2420.92s)
was just not Oracle. Oracle's not
[40:22] (2422.24s)
interested in that. Um When when a lot
[40:24] (2424.48s)
of the top engineers it seems like there
[40:25] (2425.96s)
was a an exodus where
[40:27] (2427.48s)
>> exodus, yeah, yeah. where people
[40:29] (2429.40s)
confiding with each other like were you
[40:31] (2431.00s)
talking to other high-level engineers
[40:32] (2432.56s)
saying, "Hey, we got to get out of
[40:33] (2433.72s)
here." Oh, yo, yeah. I mean, it's not
[40:36] (2436.24s)
even like I mean, you're just like
[40:37] (2437.60s)
you're in a burning building. Are people
[40:38] (2438.92s)
confiding with one another they should
[40:40] (2440.24s)
leave the burning building? It's like,
[40:41] (2441.08s)
"No, actually people are just like
[40:42] (2442.32s)
running for their lives." I mean, you're
[40:43] (2443.88s)
just not like, "Oh, what do you think of
[40:45] (2445.24s)
the burning building? Like do you think
[40:46] (2446.32s)
the building is burning? What do you"
[40:48] (2448.32s)
Uh and no, I mean, it was pretty clear.
[40:50] (2450.88s)
And there were actually the real true
[40:54] (2454.20s)
jockeying came from those engineers
[40:58] (2458.16s)
before it actually closed. There were
[41:00] (2460.24s)
going to be some engineers that would be
[41:01] (2461.52s)
laid off
[41:03] (2463.24s)
before it closed.
[41:05] (2465.36s)
But as the acquisition closed, in other
[41:06] (2466.68s)
words, there were some people that were
[41:07] (2467.60s)
still employees that were not going to
[41:08] (2468.88s)
be Oracle employees. Uh Aqua laid off?
[41:11] (2471.96s)
Like they wouldn't There wouldn't be a
[41:14] (2474.04s)
existing company.
[41:15] (2475.04s)
>> They just That's right. So so that they
[41:17] (2477.08s)
would they would lose their job. Okay,
[41:18] (2478.92s)
>> But they would get like a pretty rich
[41:20] (2480.64s)
severance package.
[41:22] (2482.24s)
So you had like an absolute line at the
[41:24] (2484.36s)
trough for how can I get laid off? You
[41:27] (2487.06s)
[laughter] like I I lay me off first. Um
[41:29] (2489.64s)
this was not me. This was not us. We
[41:31] (2491.08s)
were I I
[41:32] (2492.84s)
I was I mean, in I mean, at least to the
[41:35] (2495.08s)
credit of the like the people lining up
[41:36] (2496.36s)
at the trough, at least they knew what
[41:37] (2497.52s)
was going to happen. Uh [snorts] and
[41:39] (2499.04s)
there were still people to this day that
[41:40] (2500.12s)
are a little resentful. People are like,
[41:41] (2501.56s)
"That guy uh
[41:42] (2502.80s)
That guy got laid off and I I mean, I
[41:44] (2504.88s)
quit because I could not work there in
[41:46] (2506.68s)
good conscience after 45 days. That guy
[41:48] (2508.96s)
got laid off and got a year of salary or
[41:50] (2510.72s)
whatever it was." Um but we No, I um
[41:54] (2514.16s)
I was not that. I was We were at this
[41:56] (2516.64s)
Fishworks group in San Francisco and I
[41:57] (2517.92s)
was really optimistic that I'm really
[42:00] (2520.04s)
optimistic, somewhat optimistic um that
[42:02] (2522.36s)
we could combine the best of both
[42:03] (2523.64s)
companies or what I perceived to be the
[42:05] (2525.00s)
best of both companies. And as turns
[42:06] (2526.76s)
out, that's not the case. So. What did
[42:08] (2528.36s)
you see cuz you left really quick? So
[42:10] (2530.84s)
what did you see then?
[42:11] (2531.84s)
>> Oh, it was really clear to me that that
[42:14] (2534.48s)
this was a very very different company.
[42:16] (2536.28s)
I mean, Oracle gave me like I had
[42:18] (2538.04s)
decided like I can't work here anymore
[42:20] (2540.80s)
and the time between I had decided that
[42:23] (2543.72s)
and I actually left, which was only like
[42:25] (2545.56s)
30 days, more a little longer than that,
[42:28] (2548.28s)
maybe 45 days.
[42:30] (2550.04s)
Oracle gave me like four other reasons
[42:32] (2552.16s)
to be like, oh my god, I just can't I
[42:33] (2553.76s)
can't stomach working here. I mean, I
[42:36] (2556.56s)
and I mean, it was a bunch of things.
[42:37] (2557.88s)
One, it was Sun for all of its faults
[42:41] (2561.08s)
and there were many many faults of Sun,
[42:42] (2562.96s)
Sun had the trust of its customers. Our
[42:45] (2565.40s)
customers actually were rooting for us
[42:48] (2568.64s)
at Sun. Our customers wanted us to
[42:50] (2570.56s)
prevail. Why? Because they actually they
[42:52] (2572.92s)
they trusted us and they even when it
[42:55] (2575.56s)
wasn't in our own best interests. Like
[42:57] (2577.36s)
we would we would be straight with our
[42:59] (2579.88s)
customers and I think that that was we
[43:01] (2581.80s)
did not lie to our customers, right? And
[43:03] (2583.96s)
that was something that our customers
[43:05] (2585.24s)
found very very appealing. That was not
[43:07] (2587.44s)
Oracle. Oracle does not have the trust
[43:09] (2589.24s)
of its customers and I realized
[43:11] (2591.84s)
something very important about myself. I
[43:13] (2593.56s)
can't work for a company that has that
[43:16] (2596.16s)
kind of profound distrust. I mean, in
[43:17] (2597.72s)
terms of what we're talking about
[43:18] (2598.64s)
meaning, that so eroded my own sense of
[43:21] (2601.24s)
meaning. I felt ashamed. I felt ashamed
[43:23] (2603.84s)
to work there and I had never felt that.
[43:27] (2607.32s)
I've never, you know,
[43:28] (2608.80s)
for Sun, I was embarrassed from time to
[43:30] (2610.88s)
time, but never ashamed and with Oracle,
[43:33] (2613.60s)
I was ashamed. Uh you mentioned people
[43:35] (2615.96s)
were were eager to get themselves laid
[43:39] (2619.32s)
How do you even
[43:41] (2621.04s)
How do you even do that? Just like say
[43:42] (2622.40s)
>> your manager, look, there's a list, put
[43:44] (2624.16s)
me on it.
[43:45] (2625.48s)
Yeah, oh, there is a list? Okay, who
[43:46] (2626.84s)
else is on it? Like I want to be on it.
[43:48] (2628.12s)
I mean, just like all the ways that you
[43:50] (2630.12s)
I mean, it's not like you don't fill out
[43:51] (2631.40s)
a web form. I mean, you're obviously
[43:53] (2633.08s)
like it, you know, you're
[43:54] (2634.72s)
you're a courtier kind of whispering
[43:56] (2636.24s)
about trying to figure out like what's
[43:58] (2638.24s)
the scuttlebutt, who's going to get laid
[44:00] (2640.00s)
>> Uh I thought you'd have to like really,
[44:01] (2641.96s)
you know, underperform and like
[44:03] (2643.72s)
>> No, no, no, no, no one said no, no. I I
[44:05] (2645.24s)
think that they were no, it was all
[44:06] (2646.36s)
about like hey, I I'm I I have no value
[44:09] (2649.32s)
to Oracle. Could you I mean it was much
[44:10] (2650.92s)
more like [laughter] Oracle's not
[44:12] (2652.12s)
interested in what I'm doing, right? And
[44:13] (2653.04s)
then you get like Oracle is interested
[44:14] (2654.52s)
you got to god damn it.
[44:17] (2657.88s)
Um [snorts]
[44:19] (2659.20s)
Uh so okay, so I I get why you left
[44:21] (2661.32s)
Oracle and and obviously Sun was
[44:23] (2663.32s)
acquired. And so I the next place you
[44:25] (2665.32s)
worked at was Joyent. And I understand
[44:29] (2669.64s)
this company competed with AWS. That's
[44:32] (2672.48s)
right, yeah. And uh I listened to some
[44:35] (2675.56s)
of the conversation you already had and
[44:37] (2677.36s)
yeah, interesting quote. You said Bezos
[44:39] (2679.68s)
is the apex predator of capitalism.
[44:43] (2683.24s)
What makes you say that? Very they're
[44:45] (2685.24s)
just Amazon was Amazon at its height
[44:48] (2688.88s)
was such so relentless on execution.
[44:53] (2693.00s)
And what made Bezos
[44:54] (2694.68s)
really, really good is that in and I
[44:57] (2697.48s)
would say like and when I say it's
[44:58] (2698.44s)
height, I mean they Amazon hits the
[45:01] (2701.24s)
mother lode. And they they they hit the
[45:02] (2702.80s)
mother lode
[45:04] (2704.00s)
not because they're lucky. But they they
[45:05] (2705.56s)
there there was like luck involved, you
[45:07] (2707.40s)
know, they they allow S3 to be
[45:09] (2709.36s)
developed, right? They develop EC2. Then
[45:12] (2712.00s)
they they realize what they're on to.
[45:14] (2714.16s)
And they're on cloud computing before
[45:16] (2716.48s)
anyone has figured it out. And the the
[45:19] (2719.24s)
the the those reinvents in like from
[45:24] (2724.04s)
to say 2015
[45:26] (2726.68s)
were relentless. Every reinvent was a
[45:28] (2728.80s)
price cut. It was price cut and it was a
[45:31] (2731.40s)
bunch of new services.
[45:33] (2733.16s)
And if you're a customer, you're like
[45:34] (2734.24s)
this is awesome. I love this. This is
[45:36] (2736.64s)
great. Like why would I not I mean so it
[45:38] (2738.88s)
was so that's what I mean by the apex
[45:40] (2740.56s)
predator because he was on something
[45:42] (2742.44s)
that was wildly profitable.
[45:45] (2745.56s)
He pulled off a just an absolute
[45:49] (2749.24s)
move of moves in that Amazon did not
[45:52] (2752.08s)
break out their revenue.
[45:54] (2754.56s)
So it's just like Amazon. It's like you
[45:56] (2756.72s)
got the dot com side, you have AWS.
[45:58] (2758.60s)
They're not breaking out any of that.
[45:59] (2759.52s)
They're just like literally like this is
[46:00] (2760.64s)
how much Amazon's making. Analysts would
[46:02] (2762.36s)
ask in the call, they're just like,
[46:03] (2763.32s)
"Yeah, we're not talking about that."
[46:04] (2764.72s)
Which apparently you can get away with
[46:05] (2765.84s)
as a public company.
[46:07] (2767.24s)
Um and so, they actually created this
[46:09] (2769.32s)
idea, especially with the relentless
[46:10] (2770.84s)
price cuts. People are like, "Oh, the
[46:12] (2772.48s)
cloud's a terrible business." Like no
[46:13] (2773.96s)
one no one should get into the cloud
[46:15] (2775.56s)
because it's a terrible business.
[46:17] (2777.56s)
And so, people didn't. And meanwhile,
[46:20] (2780.08s)
like what we knew because we did compete
[46:21] (2781.52s)
with Amazon, we did have a public cloud,
[46:23] (2783.44s)
and we knew it's like, "No, the actually
[46:25] (2785.16s)
the margins on this thing are great."
[46:27] (2787.08s)
Like this is actually a great business.
[46:29] (2789.76s)
And Amazon And Amazon was executing
[46:33] (2793.56s)
very, very, very, very well. And they
[46:35] (2795.88s)
did extraordinarily well in the in in
[46:37] (2797.92s)
those years. And I mean, they are still
[46:39] (2799.72s)
obviously it's a it's a it's a very
[46:41] (2801.20s)
profitable company, but they have Amazon
[46:43] (2803.12s)
has it is not what it was in in those
[46:46] (2806.36s)
years. Um
[46:48] (2808.04s)
I'm not sure when the last price cut was
[46:50] (2810.28s)
announced at re:Invent, but it's been a
[46:51] (2811.68s)
while.
[46:52] (2812.76s)
Um it is not that that's not what you
[46:54] (2814.28s)
get at re:Invent. You don't get the the
[46:56] (2816.12s)
kind of the new services that you can't
[46:57] (2817.40s)
live without. Um so, it's it's a
[46:59] (2819.20s)
different company.
[47:00] (2820.44s)
AWS was was early, and they already had,
[47:05] (2825.00s)
I guess, a dominant market share.
[47:06] (2826.68s)
>> Yeah. Why would Jeff Bezos continue to
[47:09] (2829.84s)
like ruthlessly keep going and keep
[47:12] (2832.16s)
going? And because instead of milking
[47:14] (2834.08s)
it, Because he is not merely a predator.
[47:16] (2836.24s)
He is an apex predator in capitalism.
[47:18] (2838.52s)
This is what makes him so good. He's
[47:19] (2839.56s)
like, "I'm not going to No, like I'm
[47:20] (2840.76s)
going to I'm going to press my
[47:22] (2842.04s)
advantage."
[47:23] (2843.84s)
Like I'm I'm going to make it so no one
[47:25] (2845.68s)
can compete with me.
[47:27] (2847.04s)
And I'm going to make it so no one wants
[47:29] (2849.16s)
to get into this business. And I'm going
[47:30] (2850.72s)
to do it Honestly, like the right way.
[47:32] (2852.68s)
I'm going to do it by like giving a
[47:34] (2854.76s)
great product at a reasonable price.
[47:37] (2857.44s)
It's like, "Damn, yeah, that's that's
[47:39] (2859.28s)
good. That's like that's how That's a
[47:40] (2860.48s)
win-win." That's a win-win, and it was
[47:42] (2862.28s)
like essential for innovation during
[47:44] (2864.28s)
that era of companies that were
[47:45] (2865.64s)
cloud-born.
[47:47] (2867.08s)
And it I mean, it was really I it was
[47:49] (2869.16s)
very, very hard to compete with Amazon.
[47:50] (2870.80s)
I'll tell you that. You had to you had
[47:51] (2871.92s)
to really like find a lane. And we know
[47:54] (2874.56s)
we we found lanes where we could go
[47:56] (2876.52s)
compete with Amazon, but it was uh it
[47:58] (2878.64s)
was it was brutal. They There were There
[48:00] (2880.96s)
execution was extraordinary.
[48:03] (2883.32s)
At this company, I I saw that you you
[48:05] (2885.80s)
started out as a VP and then you
[48:07] (2887.00s)
transitioned to CTO at some point. And
[48:09] (2889.52s)
>> Yeah. What's the difference in the
[48:12] (2892.16s)
roles?
[48:12] (2892.56s)
>> Was it That's a great question. I
[48:13] (2893.92s)
actually gave a talk on this with
[48:15] (2895.56s)
Joyent's CTO at the time on the contrast
[48:17] (2897.48s)
between VP of engineering and CTO. Um
[48:20] (2900.16s)
and you know, I'm not sure
[48:22] (2902.44s)
how much I
[48:23] (2903.88s)
how much I buy the difference now. I
[48:25] (2905.56s)
mean, I think both in both capacities
[48:27] (2907.40s)
you're serving as an engineering leader.
[48:29] (2909.60s)
Um and I I think that you know, I guess
[48:32] (2912.00s)
you can argue that a CTO is more
[48:33] (2913.28s)
outward-looking for sure. Chief Travel
[48:35] (2915.20s)
Officer is kind of the the the the
[48:36] (2916.56s)
pejorative for it. You're on the road
[48:38] (2918.00s)
talking to customers a lot. Um you are
[48:41] (2921.36s)
um a VP of engineering may be more
[48:43] (2923.00s)
focused on some of of the necessary like
[48:45] (2925.68s)
mechanics that you have in an
[48:47] (2927.52s)
engineering organization. Um for me
[48:50] (2930.36s)
personally, I mean, they brought me in
[48:52] (2932.12s)
as a VP of engineering because they
[48:53] (2933.44s)
frankly already had a CTO. So like I
[48:55] (2935.36s)
again, it's just like the the the grade
[48:56] (2936.92s)
I was at uh
[48:58] (2938.92s)
at Sun, I didn't particularly care. What
[49:00] (2940.68s)
I did care about is when the, you know,
[49:03] (2943.24s)
the CTO had left and then another CTO
[49:05] (2945.32s)
that we had the CTO who had been a
[49:07] (2947.04s)
founder of the company. And when he
[49:08] (2948.08s)
left, uh so there was kind of like the
[49:11] (2951.24s)
the empty CTO position.
[49:13] (2953.52s)
I didn't care What I did care was that
[49:16] (2956.36s)
we didn't hire externally for that
[49:18] (2958.24s)
because I So that I did care about a lot
[49:20] (2960.64s)
about. Like, look, if there's going to
[49:21] (2961.72s)
be a CTO, I'm happy to be VP of
[49:23] (2963.76s)
engineering in perpetuity. But like I
[49:26] (2966.00s)
would rather like if there's going to be
[49:27] (2967.76s)
a CTO, I would like us to not hire
[49:29] (2969.48s)
externally for that, please. Or let me
[49:31] (2971.12s)
be involved in that anyway. But um yeah,
[49:32] (2972.72s)
I was later the CTO. And why not hire
[49:34] (2974.92s)
externally? I just didn't want to deal
[49:36] (2976.32s)
with like having to bring in I didn't
[49:37] (2977.80s)
need That's not what we needed at that
[49:39] (2979.64s)
time. What what we needed um at at that
[49:42] (2982.52s)
time especially, well, we had we got rid
[49:44] (2984.84s)
of the CEO um and we we really were um
[49:49] (2989.44s)
we we needed
[49:50] (2990.76s)
really a terrific CEO, which we which we
[49:53] (2993.32s)
later got. So.
[49:55] (2995.00s)
And so then you started Oxide. Started
[49:57] (2997.16s)
Oxide in 2019. Yeah.
[49:58] (2998.28s)
>> And what's the story behind you starting
[50:00] (3000.32s)
your own company?
[50:01] (3001.68s)
Well, I knew again I I kind of
[50:05] (3005.08s)
had in my I my mind that like I want to
[50:07] (3007.00s)
start a company. And the thing that I
[50:08] (3008.96s)
knew is I want to start a company with
[50:10] (3010.56s)
Steve.
[50:11] (3011.48s)
Steve and I had worked together at that
[50:12] (3012.68s)
point.
[50:14] (3014.32s)
Steve was the when I went to Joyent I
[50:17] (3017.40s)
not talked to Steve prior to going to
[50:19] (3019.08s)
Joyent. And I was going to Joyent in
[50:20] (3020.40s)
part because I was running away from
[50:21] (3021.72s)
Oracle and it was a it I it was kind of
[50:24] (3024.48s)
allow me to to hire folks and so on.
[50:27] (3027.72s)
But the I didn't talk to Steve until
[50:29] (3029.76s)
after I came to Joyent. And I'm like
[50:31] (3031.24s)
this guy is amazing. And Steve and I
[50:34] (3034.36s)
just worked very closely together. Steve
[50:36] (3036.64s)
came up on the go to market side on the
[50:37] (3037.84s)
sales side. And
[50:40] (3040.00s)
I knew I'm like I definitely want to
[50:42] (3042.04s)
start a company with this guy. I and and
[50:44] (3044.16s)
he fortunately he felt the same. So we
[50:45] (3045.68s)
we both felt like all right, whatever we
[50:48] (3048.20s)
do next we do it together.
[50:49] (3049.92s)
Um And so now it's like all right, well
[50:52] (3052.20s)
now what? Now we got to figure out what
[50:53] (3053.72s)
we want to go do. And we had these long
[50:56] (3056.68s)
walks in the city cuz we're working in
[50:59] (3059.84s)
San Francisco and we had so many bad
[51:01] (3061.96s)
ideas. I mean it was just it was just
[51:03] (3063.40s)
basically one bad idea after another. So
[51:05] (3065.48s)
then we're trying to come up with ideas
[51:06] (3066.64s)
that like were a better match for the
[51:09] (3069.68s)
kinds of things that people would fund.
[51:12] (3072.80s)
And we recommend people not do this.
[51:15] (3075.16s)
It's understandable. I did it. I don't I
[51:16] (3076.76s)
understand. But we're we're trying to
[51:18] (3078.40s)
like come up with things that people
[51:20] (3080.08s)
would fund.
[51:21] (3081.44s)
And coming up with things that were just
[51:22] (3082.80s)
like not in our heart. You know what I
[51:24] (3084.52s)
mean? Like this is like okay, I can do
[51:26] (3086.04s)
this but like really? I mean it'd be fun
[51:27] (3087.84s)
to do it with Steve but just doesn't
[51:29] (3089.36s)
feel like that's not going to I want to
[51:31] (3091.24s)
do something that is like that is this
[51:33] (3093.00s)
next long chapter of my career.
[51:35] (3095.80s)
And so as we're kind of struggling with
[51:37] (3097.48s)
that and I was trying to figure out like
[51:39] (3099.52s)
okay, we actually need to start talking
[51:40] (3100.68s)
to venture capitalists at some point. We
[51:42] (3102.00s)
need to like start like get this ball
[51:44] (3104.28s)
rolling and understand like I
[51:46] (3106.16s)
and I had always known venture
[51:48] (3108.60s)
capitalists and I got lunch with them
[51:50] (3110.24s)
over the years but had not really like
[51:52] (3112.40s)
you know kind of gone deep. And I know
[51:54] (3114.48s)
the venture capitalists associated with
[51:56] (3116.00s)
with Joyent for sure.
[51:57] (3117.52s)
Um and so I got uh I was reminding
[52:00] (3120.12s)
myself of the email address of one VC in
[52:02] (3122.24s)
particular. Actually very famous VC.
[52:04] (3124.80s)
And but it's someone I had known since
[52:07] (3127.08s)
early early early in his career. And he
[52:08] (3128.68s)
and I just gotten lunch periodically
[52:10] (3130.44s)
through our careers from when he was
[52:12] (3132.12s)
first in venture and I was in insuring
[52:14] (3134.04s)
and we it's like and he had kind of
[52:15] (3135.56s)
become uh become pretty famous. And I
[52:18] (3138.28s)
was just want to remind myself of the
[52:19] (3139.76s)
email address. And the last email he had
[52:21] (3141.64s)
sent to me was just maybe you know 18
[52:23] (3143.12s)
months prior was like, "Hey Brian,
[52:25] (3145.00s)
really enjoy getting lunch with you
[52:25] (3145.88s)
today. I just want to remind you I will
[52:28] (3148.28s)
fund literally anything you put in front
[52:30] (3150.68s)
of me."
[52:32] (3152.12s)
I'm thinking like,
[52:33] (3153.60s)
"Wow."
[52:35] (3155.04s)
And I was like, "Steve, you know,
[52:37] (3157.12s)
I'm reminding myself of this email of
[52:38] (3158.28s)
this guy's email address. He said
[52:40] (3160.60s)
he will fund literally anything we put
[52:43] (3163.24s)
in front of him."
[52:44] (3164.52s)
So like,
[52:45] (3165.76s)
what what we should just go big. We
[52:47] (3167.84s)
should do we should do the thing that is
[52:50] (3170.32s)
in our heart."
[52:51] (3171.84s)
And Steve's like, "What do you mean?"
[52:52] (3172.92s)
I'm like, "We should build the computer
[52:56] (3176.12s)
that we want to build. We should build a
[52:58] (3178.24s)
rack-scale machine."
[53:00] (3180.40s)
And he's like, "You got to be amazing."
[53:04] (3184.20s)
"Do you think we can get that funded?"
[53:05] (3185.40s)
And I'm like, I yeah I get yeah I think
[53:08] (3188.68s)
And you know that was very much in our
[53:10] (3190.80s)
heart. That was what we had lived that
[53:13] (3193.36s)
he had lived that Steve had been at at
[53:16] (3196.12s)
Dell prior to Joyent. Um he'd been at at
[53:18] (3198.92s)
Dell for a decade. I'd been at obviously
[53:20] (3200.44s)
at Sun for for 14 years. We and then
[53:23] (3203.40s)
together at Joyent for another decade.
[53:25] (3205.04s)
And this is we
[53:26] (3206.96s)
this was truly in our marrow.
[53:31] (3211.20s)
and we felt like, "Okay, like we can
[53:32] (3212.32s)
go." And we as we started talking to VCs
[53:33] (3213.84s)
about this about building and we again
[53:36] (3216.32s)
envisioned rack-scale design. We wanted
[53:38] (3218.80s)
to do our our our own board design, do
[53:41] (3221.28s)
our own switch, do our
[53:43] (3223.36s)
DC bus bar business line, do all of our
[53:44] (3224.76s)
own software, do build the machine that
[53:47] (3227.80s)
we ourselves wish we could have had at
[53:50] (3230.52s)
Samsung. After Samsung acquired Join.
[53:53] (3233.64s)
And what was very catalyzing actually
[53:55] (3235.20s)
was going to, you know, you were what
[53:57] (3237.20s)
would have been Facebook at the time
[53:58] (3238.48s)
before they renamed it. And going to
[54:00] (3240.12s)
their open compute going to the open
[54:01] (3241.96s)
compute summit and and looking at like
[54:04] (3244.00s)
Tioga Pass.
[54:05] (3245.76s)
And you're like, what is this? Like
[54:07] (3247.32s)
Tioga Pass like I mean it was like I
[54:09] (3249.88s)
would liken it to discovering Unix as an
[54:12] (3252.80s)
undergrad when I'd been living with DOS
[54:15] (3255.60s)
and be like, what is this? And you go
[54:17] (3257.40s)
look at Tioga Pass you're like, this is
[54:19] (3259.12s)
a like this is what a computer can be?
[54:21] (3261.88s)
Like this is gorgeous. This is amazing.
[54:24] (3264.64s)
We got to go build this for the
[54:26] (3266.60s)
enterprise market.
[54:28] (3268.00s)
And we what we discovered is this was
[54:31] (3271.44s)
very contrarian.
[54:34] (3274.72s)
but things that are contrarian are
[54:36] (3276.44s)
attractive to ventures. So we would get
[54:38] (3278.60s)
this into where people would actually be
[54:39] (3279.64s)
pretty interested in it. Um and I I mean
[54:43] (3283.00s)
you don't have to tell you how the story
[54:43] (3283.92s)
ends, but we went back we had actually
[54:45] (3285.24s)
talked to a bunch of venture capitalists
[54:46] (3286.24s)
before I went back to that same VC that
[54:48] (3288.76s)
sent me the email. And I get maybe 45
[54:53] (3293.32s)
seconds into describing the problem we
[54:55] (3295.28s)
want to go solve at Oxide. He's like,
[54:56] (3296.24s)
Brian, Brian, Brian, stop, stop, stop.
[54:58] (3298.60s)
If you are talking about starting a
[54:59] (3299.96s)
computer company, I want nothing to do
[55:01] (3301.28s)
with it.
[55:02] (3302.68s)
And I'm like, you know, it's funny. You
[55:04] (3304.96s)
sent me an email years ago that said you
[55:08] (3308.60s)
would fund literally anything I would
[55:10] (3310.12s)
put in front of you. And he said,
[55:11] (3311.60s)
doesn't sound like me.
[55:13] (3313.08s)
I'm like, well, I've got I've got okay.
[55:14] (3314.24s)
What do you want me to do with that one?
[55:15] (3315.08s)
I'm like, you sent me the email. It's
[55:16] (3316.16s)
like, are you is your admin writing all
[55:17] (3317.56s)
of your emails? Are you like, I don't I
[55:18] (3318.44s)
don't you have your kid write the email?
[55:19] (3319.72s)
I I don't know what to do with that one.
[55:20] (3320.80s)
Like you did send me the email. Are you
[55:21] (3321.92s)
calling me a liar? I mean, and I'm like,
[55:23] (3323.68s)
all right, fine. And he's like, fine.
[55:25] (3325.00s)
And I we were over the phone. I go to
[55:26] (3326.32s)
hang up on him. And of course like VCs
[55:29] (3329.40s)
this is just like it it it's in the
[55:31] (3331.68s)
animal brain, right? If you you go to
[55:33] (3333.44s)
hang up on a VC, they'll be like, wait,
[55:34] (3334.68s)
wait, wait, wait, wait, wait, wait,
[55:35] (3335.48s)
wait, wait, wait. It's like, oh, okay.
[55:36] (3336.88s)
He's like, "Wait, wait, wait, wait,
[55:37] (3337.72s)
wait." So, I'm like, "Fine, got it." I I
[55:39] (3339.68s)
I I I I He's like, "Wait, wait, wait,
[55:40] (3340.48s)
wait, wait, wait, wait, wait."
[55:42] (3342.16s)
"I'm not going to invest." And I'm like,
[55:43] (3343.52s)
"I know you're not going to invest." And
[55:44] (3344.48s)
I knew the reason I knew he wasn't going
[55:45] (3345.60s)
to invest is he's had some big zeros
[55:48] (3348.36s)
in this department. And when a VC has
[55:50] (3350.48s)
had zeros in something that looks close
[55:52] (3352.84s)
to what you're doing, they're like, "I
[55:53] (3353.96s)
want nothing to do that again." Like,
[55:55] (3355.56s)
"Nope. Nope, nope, nope, nope, nope."
[55:57] (3357.12s)
Was in a bad relationship with one of
[55:58] (3358.24s)
those. Don't want to do that again. And
[55:59] (3359.92s)
in part in their defense, it's often
[56:01] (3361.32s)
because like, "Actually, I understand
[56:02] (3362.60s)
this problem a lot better. And now I
[56:04] (3364.28s)
understand all the headwinds. And now I
[56:07] (3367.08s)
can I mean, in some ways like you need
[56:09] (3369.32s)
VCs to be and they need themselves to be
[56:11] (3371.92s)
like naive at some level. Optimistic is
[56:14] (3374.88s)
a be a better way of phrasing it. Where
[56:16] (3376.36s)
they can like envision the world as it
[56:18] (3378.96s)
could be
[56:20] (3380.16s)
as opposed to getting all mired in the
[56:21] (3381.72s)
way the world is. You got to be kind of
[56:23] (3383.36s)
blind to the odds to a certain degree.
[56:25] (3385.24s)
And I knew that he was not blind to the
[56:26] (3386.60s)
odds cuz he'd had two big zeros. And so,
[56:29] (3389.04s)
I knew that he was going to be like and
[56:31] (3391.16s)
one zero that like looked a lot like a
[56:34] (3394.44s)
like Oxide.
[56:35] (3395.88s)
And so, he's like, "Look, I'm not going
[56:37] (3397.20s)
to find that." I'm like, again, I knew
[56:39] (3399.16s)
"But I do want to help you."
[56:40] (3400.68s)
Like, "Okay, it's great." And I always
[56:42] (3402.44s)
tell people like when you are
[56:44] (3404.40s)
VCs will ask this a lot, especially a VC
[56:46] (3406.32s)
that's like where you're not a fit for
[56:48] (3408.20s)
them. You're not a portfolio fit for
[56:49] (3409.72s)
them, you're not a thesis fit, whatever
[56:51] (3411.28s)
it is, you're not a stage fit.
[56:53] (3413.20s)
If they like you, they'll be like,
[56:54] (3414.64s)
"Look, I'm not going to invest, but how
[56:56] (3416.24s)
can I help?" And you always want to have
[56:57] (3417.96s)
an answer to that question of how you
[56:59] (3419.48s)
can help. And I had an I I knew how he
[57:01] (3421.04s)
could help. I had a very concrete idea.
[57:02] (3422.52s)
It's like, "One of those zeros,
[57:05] (3425.08s)
um I want to talk to them. I want to
[57:06] (3426.92s)
talk to the I want to talk to the
[57:08] (3428.08s)
founders. I want to understand
[57:09] (3429.56s)
everything that went wrong."
[57:11] (3431.20s)
And I did. He he's like, "Okay, that I
[57:12] (3432.64s)
can do." He made the intro and it was
[57:15] (3435.00s)
really, really interesting. And like the
[57:16] (3436.96s)
the mistake that they that that company
[57:19] (3439.24s)
had made and again, had a thesis that
[57:21] (3441.60s)
looked like Oxide, but they they didn't
[57:23] (3443.84s)
raise a lot of ca- they they raised kind
[57:25] (3445.28s)
of arguably too little capital. They got
[57:27] (3447.48s)
something working that's smaller than we
[57:29] (3449.28s)
built at Oxide. Minimum viable product
[57:30] (3450.64s)
at Oxide is a wreck. It's big. Took us 3
[57:33] (3453.76s)
years, 3 plus years to develop. They
[57:35] (3455.60s)
developed something a little bit faster,
[57:36] (3456.92s)
but it was much smaller. It was
[57:37] (3457.80s)
basically it you could view it as like
[57:40] (3460.28s)
Nitro circa like 2013. Nitro from the
[57:43] (3463.52s)
Enron acquisition at AWS. Uh it does a
[57:45] (3465.72s)
lot of a lot of really important offload
[57:48] (3468.16s)
for AWS. So you could view it as like
[57:50] (3470.08s)
very early Nitro.
[57:51] (3471.64s)
But it didn't really have a market, but
[57:53] (3473.28s)
they had a customer. And they got a
[57:54] (3474.48s)
customer.
[57:55] (3475.60s)
And they're like
[57:56] (3476.76s)
great. And the customer is happy. And
[57:57] (3477.96s)
they wanted to use it in particular on
[57:59] (3479.32s)
their on their active directory servers.
[58:01] (3481.56s)
Great. We have product market fit.
[58:03] (3483.16s)
Raised a bunch of money. Hired a huge
[58:05] (3485.32s)
go-to-market team.
[58:07] (3487.00s)
Problem is that customer, huge bank,
[58:10] (3490.12s)
only wanted to run it on like their six
[58:12] (3492.60s)
active directory servers.
[58:14] (3494.12s)
So they were going to buy like quantity
[58:16] (3496.80s)
And this is one of the world's largest
[58:17] (3497.92s)
banks. You're like uh-oh. So you're
[58:20] (3500.80s)
like, how many world's largest banks are
[58:22] (3502.40s)
there? Like, well, there are like
[58:24] (3504.16s)
a couple of others, but like are we
[58:25] (3505.40s)
going to sell like, you know, two dozen
[58:27] (3507.04s)
of these things? Like we got to and they
[58:29] (3509.60s)
by the time they realized that they had
[58:31] (3511.12s)
a lot of mouths to feed on the on the
[58:32] (3512.56s)
go-to-market side and uh they in the
[58:35] (3515.64s)
that wasn't a zero. It they were
[58:37] (3517.72s)
acquired, but they were acquired in a
[58:39] (3519.80s)
way that left the founder extremely
[58:42] (3522.76s)
bitter. Um and really felt um like he
[58:46] (3526.64s)
like the VCs had pumped too much capital
[58:48] (3528.44s)
in them at the wrong time. Had gotten
[58:50] (3530.00s)
him to do the wrong thing.
[58:51] (3531.84s)
And was then trapped at the acquiring
[58:54] (3534.48s)
company and was really not happy about
[58:56] (3536.12s)
it. He was also the one So I was
[58:57] (3537.60s)
describing what we were doing at Oxide.
[58:58] (3538.96s)
He's like, that is a suicide mission.
[59:01] (3541.16s)
And I just remember writing down a
[59:02] (3542.24s)
little notebook. I'm just like writing
[59:03] (3543.44s)
down suicide mission. Kind of
[59:04] (3544.92s)
underlining it like, okay, we're on a
[59:06] (3546.08s)
suicide mission.
[59:07] (3547.36s)
That's fun.
[59:08] (3548.56s)
When I think of rack scale compute,
[59:11] (3551.40s)
especially these days, I I think of
[59:13] (3553.32s)
racks of GPUs Yeah, right. more than
[59:16] (3556.12s)
>> Yeah. Is that something that you're
[59:18] (3558.88s)
building?
[59:19] (3559.68s)
>> Yeah, right. Yeah, a very reasonable
[59:21] (3561.28s)
question. And when we set out, we're
[59:23] (3563.60s)
like, we I mean, again, set out in 2019,
[59:26] (3566.96s)
the GP GPU is was around obviously and
[59:29] (3569.16s)
important, but that's not what we were
[59:30] (3570.48s)
focused on. We were really focused on
[59:33] (3573.52s)
general purpose compute. General purpose
[59:35] (3575.28s)
compute, general purpose storage,
[59:36] (3576.52s)
general purpose networking. And our
[59:37] (3577.52s)
belief had always been like, that's what
[59:39] (3579.36s)
we actually want there there is so much
[59:42] (3582.44s)
to go build there and go differentiate
[59:43] (3583.96s)
there.
[59:44] (3584.84s)
And of course along the way people are
[59:45] (3585.68s)
like, what about an accelerator? Like
[59:46] (3586.88s)
what about an accelerator or GPU?
[59:49] (3589.28s)
And the problem is that the way we want
[59:51] (3591.76s)
to build systems, we want to really
[59:53] (3593.28s)
build systems from first principles,
[59:55] (3595.04s)
where we have components that have that
[59:58] (3598.08s)
have transparency at that hardware
[59:59] (3599.44s)
software interface, and we want to write
[60:01] (3601.20s)
that lowest layer of software. We are
[60:03] (3603.72s)
the company I mean ultimately we're
[60:04] (3604.72s)
building a hardware software co-design
[60:06] (3606.28s)
product, and in order to be able to do
[60:07] (3607.68s)
that, you need to be able to write very
[60:09] (3609.52s)
low-level software.
[60:11] (3611.44s)
The problem is that's really not
[60:12] (3612.56s)
compatible with Nvidia. Nvidia is a
[60:14] (3614.08s)
pretty proprietary company. Executes
[60:15] (3615.68s)
well, but a very proprietary company.
[60:17] (3617.72s)
And what that meant is there are
[60:19] (3619.56s)
effectively two doors for Oxide. One is
[60:22] (3622.32s)
labeled compete with Nvidia, and the
[60:24] (3624.36s)
other is labeled partner with Nvidia.
[60:26] (3626.24s)
And I didn't want to do either of those
[60:27] (3627.32s)
things. Have not wanted to do either of
[60:28] (3628.28s)
those things. Because certainly I don't
[60:29] (3629.60s)
want to compete with Nvidia.
[60:30] (3630.92s)
Um and I think that that's getting more
[60:32] (3632.92s)
plausible now, um but we can't partner
[60:35] (3635.68s)
because we just have a very different
[60:37] (3637.80s)
view of how systems should be built, and
[60:40] (3640.56s)
Nvidia wants to like their view is like,
[60:42] (3642.84s)
we should own the whole stack. Like
[60:44] (3644.04s)
forget you, whoever you are. Um so like
[60:46] (3646.88s)
okay, that's fine. We're going to be
[60:48] (3648.68s)
we're going to focus on general purpose
[60:50] (3650.28s)
CPU. We got plenty to do over here. The
[60:51] (3651.96s)
good thing that's been interesting and a
[60:53] (3653.40s)
bit surprising is that because the GPU
[60:56] (3656.84s)
landscape is so
[60:59] (3659.96s)
so cluttered I mean that that you've got
[61:02] (3662.04s)
this very aggressive the very executing
[61:05] (3665.44s)
well executing company in terms of
[61:06] (3666.48s)
Nvidia. You've got a lot of competitors
[61:07] (3667.92s)
around it. Um it's it's a little it's
[61:10] (3670.28s)
gory, right? Over there. To get
[61:12] (3672.68s)
And meanwhile on the general purpose CPU
[61:14] (3674.56s)
side it's like, HP, Dell, Supermicro are
[61:17] (3677.08s)
the same companies that are are doing
[61:18] (3678.68s)
the same kind of junk, honestly, that
[61:21] (3681.20s)
they have been doing and so we are
[61:24] (3684.76s)
by our lonesomes in terms of a hardware
[61:27] (3687.68s)
software product over there. So over and
[61:29] (3689.92s)
over and over again, we have had people
[61:31] (3691.56s)
come to Oxide that we think like no, no,
[61:34] (3694.32s)
we're not a fit for you because you like
[61:36] (3696.52s)
you do a lot of GPU you've got a ton of
[61:38] (3698.44s)
GPUs like you company famously have a
[61:40] (3700.76s)
lot of GPUs. They're no, we do have a
[61:42] (3702.36s)
lot of GPUs. We also have a lot of CPU
[61:44] (3704.16s)
as it turns out because the
[61:47] (3707.76s)
certainly the emergent AI workloads not
[61:50] (3710.28s)
just AI workloads because it's special
[61:51] (3711.60s)
but certainly AI workloads but high
[61:53] (3713.28s)
performance computing workloads. There's
[61:54] (3714.64s)
a lot of general purpose CPU that's
[61:56] (3716.32s)
attached to the special purpose compute.
[61:59] (3719.00s)
You know, when you're sitting there on
[61:59] (3719.84s)
chat GPT and it's surfing the web, you
[62:02] (3722.48s)
got the little spinny saying it's
[62:03] (3723.76s)
surfing the web. That is not a GPU
[62:05] (3725.16s)
that's surfing the web. That is a CPU
[62:06] (3726.60s)
that's surfing the web.
[62:07] (3727.96s)
And the the CPU is really, really
[62:10] (3730.60s)
important. So for us, we are more
[62:13] (3733.00s)
focused than ever on the general purpose
[62:15] (3735.00s)
CPU and there's a there is a ton to go
[62:18] (3738.28s)
do there fortunately to get this product
[62:20] (3740.00s)
to be where we believe it can be and I
[62:22] (3742.36s)
think we will do an accelerator at some
[62:23] (3743.68s)
point but you know, I've been kind of
[62:25] (3745.84s)
saying it's like 18 months away for a
[62:27] (3747.48s)
while or 18 months that we would really
[62:28] (3748.84s)
start thinking about it and you know, I
[62:30] (3750.92s)
again I'm I know we'll do it in the
[62:34] (3754.28s)
but boy, not in the foreseeable future.
[62:36] (3756.64s)
We've got a lot to go do as it is.
[62:38] (3758.84s)
I think coming to the end I I want to
[62:40] (3760.44s)
ask you some career reflections
[62:42] (3762.60s)
>> it. Kind of just all over the place type
[62:45] (3765.04s)
of questions. You you wrote a tweet a
[62:47] (3767.64s)
while ago. I thought it was really
[62:48] (3768.68s)
interesting idea which was you you said
[62:51] (3771.40s)
it would be interesting to have a
[62:52] (3772.32s)
conference called in retrospect where
[62:55] (3775.60s)
presenters revisit talks that they've
[62:57] (3777.68s)
given prior and describe how their her
[63:00] (3780.84s)
thinking has evolved since and I I
[63:03] (3783.08s)
pulled a bunch of stuff that you've
[63:05] (3785.68s)
I guess written or said in the past so
[63:08] (3788.92s)
I'm curious if your perspective has
[63:10] (3790.92s)
evolved since then so we'll go through
[63:12] (3792.56s)
each of those. Sure. So first one which
[63:15] (3795.68s)
is actually really famous as
[63:17] (3797.88s)
when I saw it I kind of did a double
[63:21] (3801.24s)
So, in in 1996, as a new grad, there's
[63:25] (3805.40s)
this this there I don't even know what
[63:26] (3806.88s)
you used Usenet was. I had to do
[63:29] (3809.60s)
research, actually. But there's a guy
[63:31] (3811.92s)
who he writes this long technical
[63:33] (3813.52s)
response.
[63:34] (3814.20s)
>> David S. Miller. Yes, and a part of it,
[63:36] (3816.28s)
too, it's it's not nice, either. It just
[63:38] (3818.96s)
I saw this a line in there, it says,
[63:40] (3820.72s)
"Linux is lightweight, Solaris is a
[63:43] (3823.08s)
pig." Which Solaris was what I guess the
[63:45] (3825.12s)
Sun was.
[63:45] (3825.84s)
>> Yeah. Yes.
[63:46] (3826.56s)
>> And then he writes this long thing and
[63:48] (3828.20s)
you reply with just a few words. You
[63:49] (3829.72s)
say, "Yeah, have you ever kissed a
[63:51] (3831.48s)
girl?"
[63:52] (3832.12s)
>> Yeah.
[63:53] (3833.08s)
Well, first of all, I want to know the
[63:54] (3834.08s)
context behind it. And then also,
[63:55] (3835.80s)
knowing what you know now
[63:56] (3836.96s)
>> Oh, definitely in the regret department,
[63:58] (3838.32s)
if that's what that's asking. Like,
[63:59] (3839.32s)
yeah, I've got very few regrets in my
[64:00] (3840.84s)
career, but like you can put that one
[64:02] (3842.16s)
like pretty firmly in the regret column.
[64:04] (3844.24s)
>> [laughter]
[64:04] (3844.88s)
>> Uh yeah, no, that that was that was and
[64:07] (3847.24s)
also had no idea that this was going to
[64:11] (3851.24s)
live in perpetuity. That I mean, if you
[64:13] (3853.56s)
could have told me in I think 1997 is
[64:16] (3856.28s)
maybe when I posted Maybe it wasn't even
[64:17] (3857.56s)
Was it '96 Was it '96 or '97? Certainly
[64:19] (3859.32s)
like I'm I'm like 22.
[64:21] (3861.92s)
Like I'm I'm very young.
[64:24] (3864.00s)
If you had told me like, "Oh, by the
[64:25] (3865.52s)
way, 30 years in the future, you're
[64:28] (3868.16s)
going to be asked about this." I'd be
[64:29] (3869.48s)
like, "What the hell?" Like no, no,
[64:32] (3872.44s)
trust me, it's like the world gets
[64:33] (3873.92s)
weird, you're going to be asked about
[64:37] (3877.28s)
The So, it was actually a Okay, this is
[64:40] (3880.28s)
I'm not defending it. I just want to be
[64:41] (3881.40s)
sure that I want to be clear that like
[64:43] (3883.48s)
it was a mistake.
[64:46] (3886.24s)
I it was actually a reference to a
[64:47] (3887.20s)
Saturday Night Live sketch.
[64:48] (3888.84s)
So, there's an SNL sketch that is from
[64:51] (3891.52s)
an era of Saturday Night Live that is
[64:52] (3892.96s)
just like you can't even find the video,
[64:55] (3895.12s)
but they have So, the um
[64:59] (3899.04s)
they William Shatner is guest starring
[65:02] (3902.28s)
on Saturday Night Live. And the skit is
[65:05] (3905.00s)
that William Shatner is at a a Trekkie
[65:08] (3908.52s)
convention. And the Trekkies are asking
[65:11] (3911.08s)
him all of these questions. And they're
[65:13] (3913.88s)
asking him questions and of course like
[65:15] (3915.00s)
you should like you know in episode you
[65:16] (3916.56s)
know this season in this episode you
[65:17] (3917.88s)
know what what was the combination on
[65:19] (3919.92s)
the safe? He's like what? I don't know
[65:21] (3921.92s)
that. [clears throat] I don't know I
[65:22] (3922.64s)
don't I don't know that. No why why
[65:23] (3923.72s)
would I know that? Like I don't that's
[65:24] (3924.92s)
not even and he's like these two people
[65:26] (3926.24s)
are kind of arguing themselves and
[65:27] (3927.52s)
they're asking him questions that are
[65:28] (3928.68s)
like this that are all about like the
[65:29] (3929.92s)
the kind of the canon of Star Trek.
[65:32] (3932.16s)
And then he's like, "Hey, can I just say
[65:33] (3933.56s)
something?
[65:34] (3934.52s)
Get a life people. You You Have you ever
[65:37] (3937.48s)
kissed a girl?" That was the that was
[65:39] (3939.04s)
where they you know they do a 30 going
[65:40] (3940.76s)
to John Lovitz when like Vulcaneers John
[65:43] (3943.28s)
Lovitz you know
[65:46] (3946.00s)
that was like lost to history. Why am I
[65:47] (3947.24s)
doing this? And kind of like looks down
[65:49] (3949.16s)
at himself and so like it was actually
[65:51] (3951.32s)
like an obscure Saturday Night Live
[65:53] (3953.08s)
reference which again like I'm not that
[65:55] (3955.04s)
doesn't make it any better. Um the uh
[65:57] (3957.76s)
yeah it was
[65:58] (3958.68s)
that was that's definitely in the in the
[66:01] (3961.64s)
regret department.
[66:03] (3963.56s)
What did he say back to that or I Oh he
[66:06] (3966.60s)
had a whole lot to say back back that
[66:08] (3968.28s)
and I actually did have a longer post
[66:11] (3971.00s)
kind of taking apart what he had said
[66:14] (3974.72s)
about the about like all right like a
[66:17] (3977.16s)
lot of what you've said here is actually
[66:18] (3978.36s)
wrong and so like really going through
[66:20] (3980.56s)
kind of point by point. I think you know
[66:23] (3983.52s)
I've actually never I've never met him
[66:25] (3985.28s)
never talked to him about that. He's a
[66:26] (3986.04s)
very talented guy. I think he actually I
[66:29] (3989.24s)
actually did read I think it was in um
[66:31] (3991.64s)
the with the rebel book um about Linux
[66:34] (3994.56s)
the remember him reading that he's like,
[66:37] (3997.88s)
"Yeah, I kind of like was shooting my
[66:39] (3999.04s)
mouth off in a sudden engineer kind of
[66:40] (4000.56s)
put me in my put me back in my place."
[66:42] (4002.48s)
And I'm like, "Man, if that is his read
[66:44] (4004.24s)
on it he's being very generous to me."
[66:45] (4005.72s)
So I'd like to believe that maybe he and
[66:47] (4007.12s)
I both regretted a little bit. We were
[66:48] (4008.44s)
both like a little you know a little
[66:50] (4010.56s)
young and excitable um but yeah that was
[66:53] (4013.20s)
definitely that was a life lesson. I
[66:55] (4015.48s)
would say that history forgot about that
[66:57] (4017.88s)
though.
[66:58] (4018.96s)
So on another tweet
[66:59] (4019.92s)
>> Yeah sorry. Yeah here we go. This is
[67:01] (4021.10s)
[laughter] great.
[67:01] (4021.96s)
This is we're this is like the cleanse.
[67:05] (4025.36s)
Okay, this is in 2022 you wrote a tweet,
[67:07] (4027.28s)
you said,
[67:08] (4028.36s)
"If you're tempted to blame a team for a
[67:10] (4030.48s)
startup's failure, please don't. Success
[67:13] (4033.08s)
is often due to a great team, but
[67:15] (4035.36s)
failure is almost always due to bad
[67:17] (4037.56s)
leadership." I I wrote that. That's a
[67:19] (4039.16s)
good one. [laughter] That's a good one.
[67:19] (4039.92s)
I don't remember writing that.
[67:21] (4041.68s)
That's it. I agree I agree with that
[67:23] (4043.56s)
guy. He's He's on to something.
[67:25] (4045.08s)
>> I guess the question is what was
[67:26] (4046.88s)
something something that day on the
[67:28] (4048.36s)
internet. There was some weather on the
[67:29] (4049.56s)
internet that I'm sub-tweeting Paul
[67:31] (4051.12s)
Graham there somewhere, I think. That
[67:32] (4052.56s)
must have been it. But, um
[67:34] (4054.64s)
I'm curious, do you think that's true
[67:36] (4056.64s)
for for Sun? Because Sun ultimately
[67:40] (4060.36s)
failed.
[67:41] (4061.04s)
>> So, okay, I don't agree that Sun failed.
[67:42] (4062.88s)
I don't agree that Sun failed. Because
[67:44] (4064.72s)
Sun, again, Sun is founded in 1983 and
[67:47] (4067.96s)
is invaded in in 2008.
[67:53] (4073.48s)
That's a good run. That's a really good
[67:55] (4075.20s)
run. Sun was a public company. Sun was
[67:57] (4077.92s)
in the Fortune 200. Lots of people like
[68:00] (4080.20s)
kids went to college because their their
[68:02] (4082.12s)
parents were able to work for Sun. And
[68:04] (4084.28s)
you got, you know, So, I I don't view I
[68:06] (4086.28s)
do not view Sun as a failure. Sun is
[68:07] (4087.52s)
like Sun did not, I mean,
[68:10] (4090.56s)
arguably did not or not maybe inarguably
[68:13] (4093.56s)
did not succeed to the scope of its own
[68:16] (4096.52s)
ambition, but Sun to me is not a
[68:17] (4097.96s)
failure. Sun is a success. Was its
[68:20] (4100.08s)
collapse at the end
[68:22] (4102.44s)
uh I guess
[68:23] (4103.84s)
changeable in hindsight with different
[68:25] (4105.52s)
leadership?
[68:26] (4106.44s)
>> so. I think that there were I mean, this
[68:28] (4108.24s)
is a classic power game of like why did
[68:30] (4110.84s)
Sun ultimately not not survive as an
[68:35] (4115.00s)
independent entity. Um and why is that?
[68:38] (4118.16s)
I think there were a bunch of reasons. I
[68:39] (4119.32s)
think that the
[68:40] (4120.80s)
I think that there's a degree to which
[68:42] (4122.72s)
Sun got very strung out on the very high
[68:45] (4125.80s)
margins during the dot-com boom and
[68:48] (4128.04s)
never quite like got off of that. Never
[68:51] (4131.40s)
like they we embraced x86 too late. Um
[68:55] (4135.64s)
um we kind of thought of ourselves I
[68:57] (4137.36s)
mean, the the company itself became
[68:58] (4138.76s)
fractured. The layoffs didn't help. I
[69:00] (4140.48s)
mean, I think we at Fishworks, when we
[69:02] (4142.48s)
were developing a storage appliance, I
[69:04] (4144.60s)
felt that we could have been an example
[69:07] (4147.32s)
of an exemplar of what the kinds of
[69:09] (4149.56s)
products I felt Sun could develop and an
[69:12] (4152.36s)
independent Sun could develop, but it
[69:14] (4154.20s)
was going to be there's a lot of like
[69:15] (4155.72s)
stuff that needed to be changed for
[69:17] (4157.44s)
that. And you needed leadership that
[69:19] (4159.80s)
really was very, very interested in
[69:21] (4161.80s)
that. Um and it's like that just wasn't
[69:24] (4164.28s)
what like that that's not what we had.
[69:26] (4166.40s)
Um and in hindsight, it was probably
[69:29] (4169.08s)
time for a change. So then it was And
[69:30] (4170.64s)
you know, it's like it it the kind of
[69:32] (4172.16s)
the way a forest fire in a normal
[69:34] (4174.92s)
healthy forest fire is kind of a part of
[69:37] (4177.64s)
the life cycle of a forest. And you need
[69:40] (4180.08s)
that to have kind of to have to have
[69:42] (4182.00s)
rebirth. And I think that that it's I
[69:44] (4184.40s)
mean, ultimately, I think that that um
[69:47] (4187.20s)
Sun had succeeded, but had also run its
[69:50] (4190.08s)
course. And it was it was time for
[69:52] (4192.16s)
>> I see. had its time. It had its time.
[69:54] (4194.40s)
Absolutely had its time. Um okay. And
[69:56] (4196.80s)
that next past take of yours
[69:59] (4199.28s)
>> Yeah. you wrote in 2022.
[70:01] (4201.44s)
Um perhaps this shouldn't have been
[70:02] (4202.64s)
surprising, but Musk has absolutely no
[70:05] (4205.24s)
idea what he's doing. And this is about
[70:07] (4207.72s)
the takeover of Twitter and I actually
[70:10] (4210.04s)
don't even know what's going on Twitter
[70:11] (4211.28s)
cuz it's private at this point.
[70:12] (4212.48s)
>> me. I'll I'll I will thank you to not
[70:14] (4214.20s)
refer to SpaceX that way. Oh, right. It
[70:17] (4217.20s)
has been acquired by XAI and then XAI
[70:18] (4218.80s)
has been rolled into SpaceX. So like
[70:20] (4220.28s)
we're now I guess Gwynne Shotwell now
[70:22] (4222.04s)
runs runs Twitter. So I guess do do you
[70:26] (4226.48s)
still agree that it's it's run poorly
[70:28] (4228.92s)
>> Oh god, yes.
[70:30] (4230.44s)
Yes. Yeah. I I agree that I mean,
[70:32] (4232.48s)
because it Yeah, definitely. It's so I
[70:36] (4236.76s)
yeah yes. Yes. I mean, yes. I I like I
[70:40] (4240.24s)
literally feel dirty being specific
[70:42] (4242.40s)
about that. But when I mean, when
[70:45] (4245.68s)
there's a lot of there's rampant bad
[70:48] (4248.36s)
behavior on Twitter. Um community notes,
[70:51] (4251.56s)
yes. Community notes, great. Everything
[70:54] (4254.20s)
else pretty much a tire fire.
[70:56] (4256.24s)
What's your number one thing that is
[70:58] (4258.48s)
tirefire? Um the number one thing of
[71:00] (4260.48s)
tire tirefire is that they they they're
[71:03] (4263.16s)
Oh, we'll tell you this. The reason that
[71:04] (4264.72s)
we at Oxide don't engage on Twitter, I
[71:07] (4267.40s)
can't have an Oxide tweet that is
[71:08] (4268.92s)
sitting next to some of the tweets that
[71:10] (4270.04s)
I've seen.
[71:11] (4271.48s)
Oh, you you see Okay.
[71:13] (4273.76s)
>> it's like the level of racism, the
[71:16] (4276.08s)
bluntly. It I mean crazy racism, crazy
[71:21] (4281.24s)
crazy racism, crazy anti-semitism, crazy
[71:26] (4286.40s)
and crazy
[71:28] (4288.24s)
and the anti-Islam like just
[71:30] (4290.92s)
crazy hate. Crazy levels. The kinds of
[71:35] (4295.12s)
things that you literally could not say
[71:39] (4299.12s)
and then like oh well it's free speech.
[71:40] (4300.44s)
It's like it's not free speech. It's
[71:41] (4301.44s)
like it's it's so deeply offensive and
[71:44] (4304.68s)
and reflected it's like
[71:46] (4306.92s)
it's so deeply offensive that I don't
[71:49] (4309.00s)
want my content to be anywhere near it.
[71:51] (4311.56s)
I don't want someone to be looking at
[71:52] (4312.76s)
that and looking at my content. I'm
[71:54] (4314.80s)
sorry. I
[71:56] (4316.04s)
I'm just not going to do that.
[71:57] (4317.52s)
And you live through a bunch of booms
[71:59] (4319.88s)
and busts and honestly I don't even know
[72:02] (4322.08s)
exactly if we're in a boom or a bust
[72:04] (4324.40s)
right now. It's [laughter] There's I
[72:06] (4326.24s)
mean AI's going crazy and there's all
[72:08] (4328.16s)
these layoffs. Crazy.
[72:11] (4331.52s)
what what advice would you give given
[72:13] (4333.88s)
your experience through the booms and
[72:15] (4335.44s)
busts for people who are in today's
[72:17] (4337.24s)
market?
[72:18] (4338.68s)
Yeah. And I would say that some of this
[72:20] (4340.64s)
I do think is endemic. I mean when I
[72:21] (4341.96s)
first moved out here I'm like oh this is
[72:23] (4343.08s)
great. My my grandfather was a petroleum
[72:24] (4344.92s)
engineer and so I kind of grew up with
[72:26] (4346.76s)
stories of like plants that were going
[72:28] (4348.64s)
to be built and then shut down or
[72:29] (4349.72s)
pipelines that were going to be built
[72:30] (4350.72s)
and then shut down. Like everything
[72:31] (4351.68s)
tracking the price of oil, right? Very
[72:33] (4353.52s)
oil the oil patch is very boom and bust.
[72:36] (4356.00s)
And I'm like oh this is great I'm in
[72:36] (4356.96s)
software like I'm immune from booms and
[72:39] (4359.16s)
busts. I remember to thinking this. Like
[72:40] (4360.72s)
you know you're just like [laughter]
[72:43] (4363.48s)
of course looking back at it now you're
[72:44] (4364.60s)
like oh my god. No no we are
[72:47] (4367.72s)
they are a bit endemic and they're
[72:49] (4369.68s)
endemic for reasons that are are
[72:51] (4371.20s)
somewhat endearing in that like we get
[72:53] (4373.80s)
so optimistic that we kind of get ahead
[72:56] (4376.64s)
of ourselves from an optimism
[72:58] (4378.24s)
perspective. We also get ahead of
[73:00] (4380.12s)
ourselves from a pessimism perspective.
[73:02] (4382.52s)
And the And what I would say is like you
[73:04] (4384.56s)
got to be really careful about listening
[73:08] (4388.00s)
to other people.
[73:09] (4389.48s)
People will tell you that this is going
[73:11] (4391.08s)
to be the future or that thing is dead
[73:13] (4393.44s)
and you got to be like just be your own
[73:16] (4396.44s)
judge. I had people tell me that
[73:18] (4398.20s)
operating systems are done in 1996.
[73:21] (4401.72s)
I'm really glad I didn't listen to them.
[73:23] (4403.68s)
Really glad I didn't listen to them. We
[73:25] (4405.52s)
people tell us you can't start a
[73:26] (4406.88s)
computer company in 2019. I'm really
[73:28] (4408.92s)
glad we didn't listen to them. They you
[73:31] (4411.40s)
I VC firms that say we only fund SaaS.
[73:33] (4413.92s)
Those VC firms are like well it's like
[73:35] (4415.52s)
SaaS is struggling right now.
[73:37] (4417.52s)
Um but I would also say similarly like
[73:39] (4419.64s)
if SaaS is in your heart as an example
[73:41] (4421.80s)
where people are like right now people
[73:43] (4423.32s)
are like SaaS is going to be the the
[73:47] (4427.00s)
GenAI you the LLM assisted coding is
[73:50] (4430.44s)
going to really put a squeeze on these
[73:52] (4432.92s)
SaaS companies. And I think there's like
[73:54] (4434.72s)
definitely truth to that. But if one's
[73:56] (4436.60s)
heart is in that you should ignore the
[73:59] (4439.76s)
ignore the pessimism so or or or treat
[74:02] (4442.60s)
the pessimism and the optimism with a
[74:05] (4445.68s)
grain of salt. Be your own judge and be
[74:09] (4449.44s)
be true to what you want to do. Don't do
[74:12] (4452.68s)
the things that like well I'm doing this
[74:14] (4454.36s)
because it's like a hot space. It's like
[74:17] (4457.00s)
you should do this because I think it's
[74:18] (4458.72s)
and I'm there are plenty of people for
[74:20] (4460.20s)
good reason. I mean these things are
[74:21] (4461.60s)
amazing. I mean the the the the where we
[74:24] (4464.04s)
are with respect to these LLMs is just
[74:25] (4465.80s)
bonkers and I you could easily see how
[74:27] (4467.44s)
it would be
[74:30] (4470.28s)
find a great deal of intrinsic appeal to
[74:32] (4472.24s)
that. But that's the reason that you
[74:33] (4473.72s)
should be going into these systems is
[74:34] (4474.88s)
because you think like no no this is
[74:37] (4477.12s)
this is to to quote Steve Jobs this is
[74:39] (4479.68s)
the dent I want to kick in the universe.
[74:42] (4482.08s)
I notice your career almost everything's
[74:43] (4483.88s)
driven from
[74:45] (4485.44s)
fulfillment and intrinsic motivation.
[74:49] (4489.24s)
Is there time in your career that you
[74:51] (4491.60s)
look at and you say that's the happiest
[74:53] (4493.12s)
time of my career? Mhm. Yeah. That's a
[74:55] (4495.80s)
great question. We ask this at Oxide. We
[74:57] (4497.04s)
ask you when have you been happiest and
[74:59] (4499.36s)
Um for exactly that reason. And I would
[75:00] (4500.84s)
say that like there
[75:02] (4502.80s)
it's not the it's not necessarily an
[75:06] (4506.44s)
Um it is it is the it is times that I've
[75:09] (4509.44s)
been happy. I mean bluntly like I'm
[75:11] (4511.16s)
pretty happy right now. Oxide's great.
[75:13] (4513.36s)
Right? And the we have the moments for
[75:16] (4516.44s)
me and this is an important kind of
[75:17] (4517.80s)
question for me to reflect on as we're
[75:19] (4519.80s)
starting Oxide and this is actually due
[75:21] (4521.56s)
to a friend of mine who um would had
[75:23] (4523.68s)
been in a startup and he and I were
[75:25] (4525.56s)
taking a walk in San Francisco as kind
[75:27] (4527.28s)
of Stephen and I are talking about bad
[75:29] (4529.60s)
and he was like you really need to
[75:30] (4530.96s)
answer for yourself why do you want to
[75:32] (4532.80s)
do this? What what is drawing you to
[75:35] (4535.40s)
start a company?
[75:36] (4536.96s)
And cuz it wasn't financial return for
[75:39] (4539.40s)
me and people should not start a company
[75:40] (4540.96s)
for financial return. That's just not a
[75:42] (4542.28s)
good that's not good life advice. Um but
[75:44] (4544.88s)
what what was drawing me? I'm like well
[75:45] (4545.96s)
the thing that's drawing me actually is
[75:47] (4547.72s)
that the moments that have been the
[75:49] (4549.04s)
happiest have been working on an
[75:51] (4551.44s)
incredible team.
[75:52] (4552.88s)
And being on a team that where everyone
[75:56] (4556.64s)
individually is like I don't think we
[75:58] (4558.04s)
can pull this off. Like this is actually
[76:00] (4560.32s)
too difficult to pull off. And then
[76:02] (4562.92s)
everybody works together, complements
[76:05] (4565.08s)
one another, and you pull it off. Man,
[76:07] (4567.68s)
that is a that feeling is extraordinary.
[76:11] (4571.76s)
And the times that I'd have that I'd had
[76:13] (4573.20s)
it with E-Tris. I I had had it at
[76:15] (4575.04s)
Fishworks. I'd had it at Joyent a couple
[76:17] (4577.52s)
of times with El Ax, with Triton. Um
[76:20] (4580.28s)
that those times have been like oh that
[76:22] (4582.48s)
that's what's amazing to me. And so I
[76:24] (4584.84s)
mean in many ways like the bedrock of
[76:26] (4586.68s)
Oxide is like what if we found a company
[76:28] (4588.84s)
around part of the reason we were
[76:30] (4590.20s)
appealing the larger problem was
[76:32] (4592.04s)
appealing to us is like we're going to
[76:33] (4593.64s)
be able to attract an extraordinary
[76:36] (4596.40s)
team. And we have a team that is it is
[76:39] (4599.48s)
so uplifting to be on a team. I've
[76:42] (4602.12s)
always said that the the organizational
[76:43] (4603.60s)
model for for Oxide is a heist movie.
[76:46] (4606.04s)
You know, you've got your safe cracker,
[76:47] (4607.28s)
you've got your getaway driver, your
[76:48] (4608.28s)
demolitions expert, right? And I think
[76:49] (4609.56s)
heist movies are great because of that.
[76:51] (4611.20s)
And like because it's the it's the group
[76:53] (4613.44s)
coming together, everyone's [snorts]
[76:55] (4615.24s)
skill sets kind of coming in at exactly
[76:57] (4617.04s)
the right moment. And man, I love that.
[76:59] (4619.56s)
I I I love that so much and and Steve
[77:02] (4622.68s)
loves it. I mean, that's that's part of
[77:04] (4624.00s)
like our shared bond is he and I are
[77:06] (4626.60s)
both very, very team oriented and we
[77:08] (4628.44s)
built a company around that. And Isaac
[77:11] (4631.40s)
is extraordinary. I It is It is truly,
[77:13] (4633.28s)
truly extraordinary. It's why we've been
[77:14] (4634.48s)
able to pull off what we've been able to
[77:15] (4635.92s)
pull off with the small team that we've
[77:17] (4637.64s)
got. I think people are kind of shocked
[77:19] (4639.28s)
at how small a team that that we've got
[77:21] (4641.24s)
given we've been able to pull off. You
[77:22] (4642.84s)
know, when you look back on your whole
[77:23] (4643.92s)
career, is there a particular top regret
[77:27] (4647.24s)
that you have?
[77:28] (4648.59s)
>> [laughter]
[77:28] (4648.96s)
>> I mean, I made an extraordinarily bad
[77:31] (4651.12s)
hire at Joyent. I think the worst hire
[77:33] (4653.12s)
in human history. Many people in Silicon
[77:35] (4655.48s)
Valley will say like, "Well, that can't
[77:36] (4656.84s)
be the worst hire in human history
[77:38] (4658.04s)
because I feel I have made the worst
[77:40] (4660.12s)
hire in human history." And as I tell
[77:41] (4661.72s)
people like, "Look, I'm happy to give up
[77:43] (4663.12s)
the give up the crown, but you should
[77:45] (4665.08s)
know that my guy presented himself under
[77:46] (4666.60s)
an assumed name and just got off parole
[77:48] (4668.24s)
for violent felonies from San Quentin.
[77:50] (4670.16s)
And it's not what made him a bad
[77:51] (4671.68s)
employee."
[77:52] (4672.96s)
And usually people are like, "No, no,
[77:55] (4675.00s)
no, I think you've made the worst hire
[77:56] (4676.04s)
of all time." I'm like, "Thank you.
[77:56] (4676.88s)
Thank you very much." Um that was a
[77:59] (4679.80s)
bad experience.
[78:01] (4681.68s)
It was also very eye-opening because
[78:03] (4683.76s)
everything I was doing about hiring was
[78:05] (4685.00s)
wrong. And we after we rectified that
[78:07] (4687.96s)
situation and got him out, we stripped
[78:10] (4690.68s)
hiring to the studs and really rethought
[78:13] (4693.08s)
hiring from the from the very first
[78:14] (4694.88s)
principles. That hiring process, a very
[78:17] (4697.44s)
writing-intensive process, one that
[78:19] (4699.12s)
really gets to intrinsic motivation, it
[78:22] (4702.28s)
became the hiring process at Oxide. And
[78:24] (4704.96s)
there was a moment where I'm like, "Oh
[78:26] (4706.28s)
my god, like this extraordinary team at
[78:28] (4708.60s)
Oxide very much
[78:30] (4710.84s)
I think related absolutely to the hiring
[78:33] (4713.36s)
process that we have. This hiring
[78:34] (4714.96s)
process that I built because I made the
[78:36] (4716.44s)
worst hiring hire time. I needed that
[78:38] (4718.44s)
guy. So, you don't regret I don't regret
[78:40] (4720.36s)
it. I don't I don't regret it. In fact,
[78:42] (4722.40s)
I'm even like e- to kind of go back into
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the time machine and remove it, I think
[78:46] (4726.76s)
Oxide I don't think No, if Oxide makes
[78:49] (4729.88s)
Because I would have continued to hire
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the way I was hiring, which was
[78:54] (4734.68s)
naively.
[78:56] (4736.16s)
It was hiring not rigorously. It was not
[78:59] (4739.12s)
selecting people based on their values.
[79:00] (4740.92s)
So, no, I absolutely needed it. So, I
[79:02] (4742.56s)
think and I view that way of a lot of
[79:03] (4743.92s)
things that have maybe not gone the
[79:05] (4745.04s)
right way, but all of those failures
[79:07] (4747.80s)
were really, really important. And it's
[79:10] (4750.36s)
very hard to go back and and and you
[79:12] (4752.40s)
don't want to
[79:13] (4753.64s)
take those away. I mean, if I go to the
[79:15] (4755.12s)
time machine, maybe I would take away
[79:16] (4756.28s)
the the Usenet post and maybe that would
[79:17] (4757.92s)
I don't know, maybe that wouldn't have
[79:18] (4758.92s)
any long-lasting consequences, but boy,
[79:20] (4760.72s)
that's about it. Awesome. And then last
[79:22] (4762.80s)
question is uh if you can go back to the
[79:24] (4764.92s)
beginning of your career knowing
[79:26] (4766.08s)
everything you know now, what advice
[79:28] (4768.36s)
would you give yourself? Jesus, don't
[79:29] (4769.72s)
it up.
[79:31] (4771.20s)
Don't it up. I I I I I would just
[79:32] (4772.80s)
think because like I feel like so
[79:35] (4775.80s)
lucky. So, I I've I've been so lucky in
[79:38] (4778.88s)
so many regards. I've been in the right
[79:40] (4780.16s)
place at the right time so many
[79:41] (4781.52s)
different times over, and I've trusted
[79:43] (4783.96s)
my gut when sometimes that was not the
[79:45] (4785.80s)
thing that when
[79:47] (4787.64s)
that was kind of a the contrarian thing
[79:49] (4789.20s)
to do. I I mean,
[79:51] (4791.40s)
I would be scared to give myself advice
[79:54] (4794.96s)
because I would be worried that I would
[79:57] (4797.92s)
somehow tamper with what I feel has been
[80:01] (4801.32s)
an extraordinarily lucky career where I
[80:04] (4804.00s)
have I I've been able to do so much with
[80:07] (4807.60s)
so many extraordinary people. I've I've
[80:09] (4809.36s)
I've been blessed with so many
[80:11] (4811.68s)
incredible colleagues, and I
[80:15] (4815.52s)
that has been so essential for
[80:17] (4817.84s)
everything that I've done, and I
[80:18] (4818.92s)
wouldn't want to do anything to endanger
[80:20] (4820.20s)
that. So, I'd be going back to my past
[80:21] (4821.48s)
self, I'd be like, I got nothing to say.
[80:22] (4822.68s)
Like, just Yeah, I don't want to screw
[80:24] (4824.52s)
anything up. Like, I just
[80:26] (4826.24s)
because I I feel that I feel really,
[80:28] (4828.28s)
really lucky. And it wasn't always
[80:29] (4829.52s)
because of the because again, it's like
[80:30] (4830.92s)
I I made mistakes along the way, but the
[80:33] (4833.72s)
mistakes became load-bearing and
[80:35] (4835.96s)
important and I wouldn't want to I
[80:37] (4837.64s)
wouldn't want to not make those
[80:38] (4838.96s)
mistakes. Those mistakes were really
[80:40] (4840.40s)
important. Well, doesn't get better than
[80:42] (4842.68s)
that and thank you for your time today.
[80:44] (4844.68s)
Really appreciate it.
[80:45] (4845.36s)
>> Absolutely, thank you for the thoughtful
[80:46] (4846.44s)
questions. Really great conversation and
[80:47] (4847.92s)
thanks for
[80:49] (4849.80s)
doing the the hall of shame here on the
[80:52] (4852.32s)
on the past tweets. That was a lot of
[80:53] (4853.52s)
fun. Yeah.
[80:54] (4854.26s)
>> [laughter]
[80:54] (4854.64s)
>> Awesome. Thanks so much. Thank you.
[80:57] (4857.40s)
Thank you for listening to the podcast.
[80:59] (4859.08s)
It's a passion project of mine that I
[81:01] (4861.20s)
really enjoyed building. Another passion
[81:03] (4863.32s)
project that I've been working on kind
[81:04] (4864.68s)
of in secret is building an ergonomic
[81:07] (4867.16s)
keyboard that I wish existed and I
[81:09] (4869.36s)
finally have a prototype. So I'd love to
[81:11] (4871.16s)
show you what we've built. It's ultra
[81:13] (4873.92s)
low profile and ergonomic and I couldn't
[81:16] (4876.68s)
find anything like it on the market. So
[81:18] (4878.28s)
that's why we built it. I'll put a link
[81:20] (4880.12s)
to the keyboard in the description. You
[81:21] (4881.72s)
can take a look and learn more about the
[81:23] (4883.20s)
project there. We could definitely use
[81:25] (4885.00s)
your support. Also, if you have any
[81:27] (4887.00s)
feedback from me about the show, I'd
[81:28] (4888.76s)
love to hear it. Comments on YouTube
[81:31] (4891.04s)
have led to guests coming on like Ilya
[81:33] (4893.08s)
Grigorik and David Fowler. I wasn't
[81:35] (4895.80s)
aware of them until someone dropped a
[81:37] (4897.64s)
comment. Also, feedback in the comments
[81:39] (4899.56s)
helped me learn to reduce the number of
[81:41] (4901.44s)
cliffhangers in the intros. So your
[81:43] (4903.72s)
comments definitely make a difference.
[81:45] (4905.16s)
Please keep letting me know what you'd
[81:46] (4906.68s)
like to see more of in the show and I'll
[81:48] (4908.56s)
see you in the next episode.