Search Captions & Ask AI

E152: Real estate chaos, WeWork bankruptcy, Biden regulates AI, Ukraine's “Cronkite Moment” & more

November 03, 2023 / 01:28:38

This episode covers the All-In Podcast's CEO search, the All-In Summit, and discussions on AI regulation and commercial real estate. Guests Chamath Palihapitiya, David Sacks, and Dave Friedberg discuss their experiences and insights.

Chamath Palihapitiya shares updates on the CEO search, revealing there are 240 applicants and excitement about the potential candidates. He emphasizes the need for a CEO to help professionalize the podcast and manage future events.

David Sacks discusses the success of the All-In Summit, highlighting positive feedback from attendees. He expresses interest in expanding community engagement through events and interactive Q&As.

The conversation shifts to AI regulation, where the hosts critique a recent executive order from the Biden administration. They argue that the order lacks clarity and may hinder innovation in the tech industry.

Lastly, the hosts analyze the state of commercial real estate, particularly in San Francisco, discussing the challenges posed by high vacancy rates and the potential for significant debt impairment in the market.

TL;DR

The All-In Podcast discusses CEO search, AI regulation, and commercial real estate challenges in San Francisco.

Video

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hey everybody welcome to another episode
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of the Allin pod the notorious threesome
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is here doing the show solo today
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threesome thle it's a thr it's a thle we
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have a thruple I think it's more like a
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cuddle puddle okay the dictator chamoth
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poopaa Rainman David Sachs sulan of
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science Dave fredberg happy to be here
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with you guys today we are absent jcal
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taking the week off any other
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housekeeping let's do it let's jump been
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to it well you announced that we're
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going to hire a CEO right oh let's talk
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about that how's it going freeberg in
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our CEO search okay I got to admit I've
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had a few conversations but I got to get
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through the list there are 240
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applicants so far wow wow and there's
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some really like great people in there
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so we need to figure out how we're going
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to manage this but I think we're pretty
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excited I can't believe so many people
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want to work for us that's insane
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there's some really great folks I think
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the Jim you posted it and people were
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pretty positive right generally positive
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not everyone it was it was really
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positive yeah I mean I think that people
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were
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very excited about the fact that we were
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going to try to kind of like
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professionalize us a little bit more so
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let's just talk about that we did The
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all-in
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Summit in September we thought it went
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really well folks really enjoyed it the
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survey data the folks that attended was
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really positive so we we want to do that
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and do more of that live
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inperson stuff we all have full-time
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jobs and other things to do so we need
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someone to come and run this as a
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business and organize it and Carry It
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Forward a little bit for us and so we're
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really excited to hopefully get someone
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that can scale this no ads ever no
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subscription fees nothing's going to
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change about the Pod so it's a media and
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events business and it might become a
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cpg business as well
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meaning was it cpg's consumer package
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Goods that's right TXS you're
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that is the correct use of the acronym
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David congratulations your first product
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uh would be what
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tequila I would do like a tequila or
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like a hard Seltzer or something like
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that that seems to be a big growth
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category or we could figure out
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something very orthogonal I mean Mr
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Beast did candy bars and we found out at
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the all Summit that he's doing something
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like 250 million a year in Revenue
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growing very fast yeah we could do saxs
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nuts the sax nuts be too big to eat you
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wouldn't to fit them in your mouth Jamal
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they just be old and
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salty let your win
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ride
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[Music]
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David we open source it to the fans and
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they've just gone crazy
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[Music]
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with well I think the other thing that's
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worth figuring out is this idea of like
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what is what does the community really
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look like I think that's the biggest
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that's the biggest upside for the CEO is
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like is it physical places like zero
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Bond or is it virtual sort of like
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Community oriented things is it some
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combination of the two I'm really
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interested in trying to figure that out
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and and what answer they come up with
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then the other thing that I would really
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like to experiment with quite honestly
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is if we could do a little bit of a tour
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I just think it would be super fun to
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kind of go to like five or 10 cities and
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just kind of like crash those places and
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have like a big get together and talk to
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people and do a big Q&A I think the
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thing that is really fun is just the
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interactive Q&A just because it allows
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everybody to get involved and then to be
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able to do dinners with each other and
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like there's just a really amazing
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community so that person should be able
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to figure this out I don't know the
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answer to it but I I'm hoping they
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figure that out we should give a shout
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out to the guy who did the interview
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video or
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submitted you see that that's like a
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4-minute video that somebody submitted
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his by video on on X I think I was on
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his podcast Sean you were I was on his
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podcast like a year and a half ago I
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think can we pull it up welcome welcome
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to my five minute job application to
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become CEO of the all-in podcast this is
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the American dream
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baby that's great well he posted a tweet
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the day before saying if it gets a
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thousand likes he'll submit an
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application and instantly got a th likes
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and then he put that video together so
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great job Sean I will be calling you
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later for your second round interview I
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think you're well qualified after that
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submission but I do remember like at the
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all-in summit I've never been to a
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conference where I'd say like 95% of the
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audience was actually in the theater for
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the entire content session like they
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really sat through it it was really
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engaging so I think that's the sort of
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product that I'd love to
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bring bring out more which is some of
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these important conversations with
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people that can
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provide a perspective that folks might
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not be getting elsewhere Jam you also
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mentioned on Twitter that you're doing
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more content like you're you called it
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learn with me what is that yeah I mean
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well I've been doing this for a while
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but I just wanted to wrap it up and kind
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of make it into a clean kind of produ
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eyes service so you know I have this
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newsletter that I've been using weekly
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to just kind of share everything that I
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read but then I thought okay why don't I
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actually like really invest just a
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little bit of time every week to curate
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that even a little bit more and then
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write little summaries of probably the
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three most important news topics of the
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week and I just kind of give an insight
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into my process so when I read all of
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this stuff usually two to three times a
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month but the average is around twice a
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month I end up writing an essay and it's
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like one or two pages really quick and I
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just keep them for myself and it's like
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right now I'm just I just finished one
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what is the Federal Reserve and the
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reason I did that was because dren
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Miller was on TV and was talking about
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all this stuff and I just wanted to
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remind myself about why the Federal
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Reserve exists the way it does but
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basically what happens is from these
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quick essays and from what I read I
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typically start every month a deep dive
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where my team and I we probably
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allocate at least a month to a month and
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a half where we figure out something in
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really excruciating detail and we
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generate a slide deck and a write up and
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then we take that and we go and we ask
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bunch of experts what they think and
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then we only keep it within ourselves
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but then I thought you know what why
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don't we just start sharing it so the
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reason I'm doing this is really to keep
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myself accountable to keep learning
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because I feel like in the last few
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years the thing that I lost most when
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things were going crazy was just the
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incentive to learn and I thought if
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there are other people around me that
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are also relying on this I'll be more
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accountable and obviously to the extent
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that this thing can actually be self
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funding then I can take some of that
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Revenue reinvest it in more research
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Associates maybe publish more content
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but it's kind of like all the
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information I wish I had so that I could
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make better decisions I'm just going to
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kind of take what I have share it with
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everybody and kind of go from there so
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we'll see so you're charging for the
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kind of higher end part of it at the end
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of it like it's kind of like I would say
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most of it is free the Twitter spaces
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obviously is not because the point of
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these or these X spaces is we just don't
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want a bunch of bots controls but
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there's a bunch of people that signed up
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to be a subscriber so we'll do q&as
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monthly for subscribers and then once a
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month I'll publish a deck and like I
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said if you want the full one then you
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can be part of like a paying Community
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otherwise you'll get some portion of it
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for free and then you'll have cash to
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reinvest in doing more content is that
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like right now I have a couple of
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research assistants that really help me
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and we have a pool of experts that we
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use but if this thing picks up some
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steam and we can have enough Revenue to
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hire three or four more ra
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maybe at some point instead of monthly
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we can go by weekly I don't know but the
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idea is just to focus on sort of what I
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think is interesting so that I can have
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a general view of of things so that I
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can make better decisions and like I
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said to the extent people are interested
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now they can follow along at any level
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there you have it so people can go to
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your Twitter to see it right yeah okay
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by the way the other thing is it's kind
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of cool to be in this like content
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creator economy you know that's the
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other thing is like I don't know about
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you guys but I feel like I'm on the
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sidelines looking in at Trends now
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whereas before I was in the middle of
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them like Web 2.0 social I was right in
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the heart of it and I was like okay this
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is amazing and then as an investor in
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SAS and deep Tech I was kind of in the
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middle of those as well that felt great
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but this last push in AI I'm like wow
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I'm really on the sidelines looking in
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or this content creator stuff so I think
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it's it's a good forcing function for me
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to kind of learn as well to be active in
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the content creator economy basically to
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understand it better yeah I don't know
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how else I'll ever learn how to because
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like I I could read all the stuff I want
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just so you know you do a podcast that a
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lot of people listen to yeah but I think
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that that's like a it's the lowest order
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bit quite honestly you know when you see
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like what Jimmy Donaldson
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does or even like Kim Kardashian what
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they do as content creators it's just an
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intense process that then creates all
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this upside so even if what I want to
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have a more informed view of where Allin
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needs to go I want to be a little bit
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more on the ground and actually in the
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engine room doing it for myself yeah
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since we started doing the Pod sax has
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been creating a ton of content too I
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mean saak you wrote a piece this week
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didn't you and on Ukraine or like the
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the time article on Ukraine didn't you
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yeah yeah like you weren't doing a lot
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of content before we started doing the
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Pod right no he was he was writing like
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a lot of blog posts on SAS those were
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excellent he had like an occasional blog
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post but he's like super active now
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particularly on Twitter no like has that
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changed a
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lot well what basically happened is I
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would Express political views on the Pod
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you know on a weekly basis and I wasn't
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really tweeting much about politics but
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then it all kind of bled together I mean
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once you start talking politics on a pod
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people were clipping it they were
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putting it on Twitter and then I have to
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respond to it maybe correct yeah Mis
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interpretations or respond to ATT or
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whatever so it all the politics and
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business stuff just kind of bled
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together on Twitter it' be nice if I
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just had two accounts and people could
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just follow me for what they wanted to
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follow my substack is just business and
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then I'll occasionally write an oped on
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the political stuff so I've written a
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few on free speech and then I've written
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a few on Ukraine and so I wrote a piece
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for responsible statecraft this week on
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Ukraine which was based on a Time
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Magazine story that came out and then I
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did a version of it on X kind of a long
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post which I called the Ukraine Wars
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kronite moment which descri the the
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kronite moment in the Vietnam War was
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that Walter kronite who was the top
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newscaster America's most trusted man in
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the
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1960s he went on a fact-f finding
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mission for himself to Vietnam and he
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came back and he said the war is
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basically unwinable and that's when the
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public sentiment really turned against
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the Vietnam War it still took us 5 years
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to get out of bit but what kronite said
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there's a great quote from kronite which
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I included at the end where kronite says
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it is increasing clear to this reporter
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that the only rational way out will be
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to negotiate not as Victors but as
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honorable people who lived up to their
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pledge to defend democracy and did the
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best they could so that that's basically
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what happened in 1968 what happened this
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week is that Time Magazine wrote a cover
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story on zinsky where the main sources
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for the story were all of zelinsky's
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AIDS and advisers and what they told the
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time reporter was effectively this war
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is unwinable and moreover zalinsky is
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delusional that was a word they used
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delusional in in not confronting the
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battlefield realities that the Ukrainian
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Army had been decimated and delusional
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in the sense that he refuses to engage
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in peace negotiations with the Russians
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he's utterly unmovable on this idea that
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Ukraine's going to somehow Prevail and
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the troops in the field are basically
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saying that they cannot follow the
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orders they're being given they
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literally they can't Advance they're
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being ordered to advance and the
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officers in the field the Frontline
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commanders are rejecting the orders
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because they've been decimated so badly
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and they they consider the orders to be
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impossible so I consider this to be the
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kronite moment of the war when
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zelinsky's own Inner Circle is saying
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that the war is lost and the only
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question is when are we going to realize
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that and start negotiating are we going
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to continue until the very end here with
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zinsky in this psychological bunker that
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he's
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created or are we going to recognize
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reality the way that kronite urged the
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nation to in 1968 do you think these
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AIDS to
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zalinski proactively reached out to the
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journalists to try and get this story
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published how does a story like this
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come about that provides this kind of
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revealing Insight on the supposedly
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inner chamber in zinsky operations that
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can shed so much light on the challenges
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and with him and with the operation
00:13:36
really interesting question and I think
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the starting point for understanding
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that is that this writer Simon Schuster
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of Time Magazine wrote the in-depth
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profile zinsky for times person of the
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year at the end of
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2022 so this reporter cannot be accused
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of unor this this is the person that
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profiled zinsky as person of the year
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yes yes exactly oh wow so so they so
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through that he probably had contacts in
00:14:03
zin's inner circle and doing his
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Preparatory work for that article back
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then absolutely yeah and maintained
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those relationships and has a back
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Channel now to be able to get this sort
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of insight well he was physically there
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I mean I think he was physically there
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to write the person the your profile and
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he was physically this isn't some like
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weirdly planted this is like a legit
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source well that's my whole point is
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that this this reporter is and and Time
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Magazine obviously is mainstream media
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and this writer has given favorable
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coverage to zalinsky in the past and I
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believe that's what led to him having
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this kind of access to zelinsky's Inner
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Circle so you have to take all of that
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into account the key question Sach is
00:14:41
does this change anything so does this
00:14:43
article change the sentiment of
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political leaders in the US or is
00:14:49
nothing really different that we still
00:14:51
need to defeat Putin continue to feed
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the war machine continue to support the
00:14:55
effort against Putin or does this start
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to beg the question hey maybe we need to
00:15:00
look at this tactically and and make a
00:15:02
change is anything actually going to
00:15:03
change from any reason to think that in
00:15:06
a certain sense this article isn't
00:15:07
saying anything that's new I mean the
00:15:10
article basically says the same things
00:15:12
that I've been saying the same thing the
00:15:14
same kinds of things that Professor Mir
00:15:15
shimer has been saying Professor Jeffrey
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Sachs the all the critics of this war
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have been saying these things for a
00:15:21
number of months which is the Russians
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are winning there is no feasible way for
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the ukrainians to evict the Russians
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from their territory we are out of
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artillery and other types of ammunition
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to give them effectively the war is
00:15:34
unwinable we should negotiate so a lot
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of people have been saying that for a
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long time but what's different now is
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that if you believe this publication and
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this writer which I do because of his
00:15:43
access it's zelinsky's own Inner Circle
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are now saying those same things so in
00:15:49
other words the so-called Putin talking
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points that we're always accused of are
00:15:53
coming from inside the house yeah and to
00:15:56
me that's what makes this a kronite
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moment now will policy makers in
00:15:59
Washington changed their tune or Chang
00:16:01
their perspective on this probably not
00:16:04
the uni party of both Republicans and
00:16:05
Democrats are still seems to be a
00:16:07
majority who want to fund another 61
00:16:10
billion for Ukraine so is this
00:16:12
penetrating The Blob I don't think so I
00:16:15
mean but again think about Walter
00:16:16
kronite in 1968 the country basically
00:16:18
came around to his point of view after
00:16:20
that but it still took five years to get
00:16:23
out of the Vietnam War so I think that
00:16:27
this week was a Watershed in terms of
00:16:30
the way that public perception is going
00:16:32
to evolve over the next few months but
00:16:34
it seems like the policy makers in
00:16:36
Washington are the last ones to get the
00:16:38
MEO well let's see what happens I mean
00:16:40
I've shared my point of view for a
00:16:41
couple of years now I think the US is in
00:16:43
a call it subconscious conflict
00:16:47
escalatory state that would continue to
00:16:51
drive us into these sorts of it's great
00:16:54
for
00:16:54
markets seems to be great for markets
00:16:57
conflict is great for markets you're
00:16:59
saying no no no no the the fact that it
00:17:02
seems
00:17:03
like there's a terminal outcome and all
00:17:06
we're debating is
00:17:09
whether zilinsky sees it is actually
00:17:11
very reassuring for the market oh you
00:17:13
think the markets you think the markets
00:17:15
recognizing that there may be an end to
00:17:17
the Ukraine conflict well I I do think I
00:17:19
I do think in part I don't think it
00:17:20
explains why it's up necessarily today I
00:17:22
think that's more because I think I I
00:17:24
mentioned this before but the end of the
00:17:27
fiscal year for m UT funds was October
00:17:29
31st and so there was a lot of selling
00:17:31
going into October 31 just to capitalize
00:17:34
tax losses and tax loss Harvest but that
00:17:38
leaves them with a lot of cash and so
00:17:39
starting November 1st which is day one
00:17:42
of the new fiscal year mutual funds are
00:17:44
not allowed to really own cash that's
00:17:46
not why you pay them and so they're
00:17:48
going to be active buyers so that's why
00:17:50
in the short term the market is up but
00:17:52
if you think
00:17:53
about the overhang of risk that we've
00:17:55
had right you had one Forever War and
00:17:59
now the beginning of what potentially
00:18:00
could be another Forever War that's
00:18:03
definitely a dampener on market demand
00:18:05
right and and and sentiment and investor
00:18:08
confidence but if a story like this is
00:18:11
true it actually takes one of those big
00:18:12
risks off the table which is this idea
00:18:15
that now it's like every other kind of a
00:18:18
thing which is it's the reason we spend
00:18:20
money there is not to win something
00:18:22
that's winnable it's just graft it's
00:18:24
just typical corruption and the article
00:18:27
says that quter Ukrainian officials
00:18:29
saying that people are stealing like
00:18:31
there's no tomorrow right right so that
00:18:35
that the US unfortunately enables in
00:18:38
many places that's not new and so to the
00:18:41
extent that that's now more of the
00:18:43
status quo that's reassuring for
00:18:44
investors because we're not talking
00:18:45
about a war we're just talking about
00:18:48
bleeding more money which I'm not saying
00:18:50
is right but
00:18:51
it's morally more acceptable than the
00:18:54
alternative so there you have it it's
00:18:56
generally good for markets now that
00:18:58
leaves I think Israel
00:19:02
Gaza as a
00:19:04
risk and I think people and I think the
00:19:06
markets still view that as a potential
00:19:09
War and the longer that goes
00:19:14
on I think that there's a very good
00:19:16
chance that we drisk that as well as
00:19:18
again not a war but part of that
00:19:22
cycle between Israel and Palestine which
00:19:24
is conflict timeout conflict timeout
00:19:27
conflict timeout and so if what we think
00:19:29
is now this is just a version of
00:19:31
conflict timeout and the market Dr risks
00:19:33
that
00:19:34
then it's actually pretty positive for
00:19:38
equities for startups because now the
00:19:42
FED has a reason to actually say okay
00:19:45
the economy is cooled off inflation is
00:19:48
calm it looks like the markets are
00:19:50
stable let's cut rates right let's let's
00:19:53
reintroduce some demand into the market
00:19:56
it's generally a good thing and if if
00:19:58
there's no reason to be risk off people
00:20:02
will use that as a reason to be risk
00:20:04
on yeah well treasure yield the 30y year
00:20:08
cracked is yeah it's down uh
00:20:11
cracked days0 days or three days yeah so
00:20:15
don't you think this is because the
00:20:17
forecast or the outlook for Q4 or q1
00:20:20
next year it's starting to go down quite
00:20:23
a bit that people are starting to see
00:20:25
more recessionary indicators so you had
00:20:27
this like Peak four .9% growth rate and
00:20:29
then inflation seems to be tamed quite a
00:20:32
bit too I think to be honest the look
00:20:34
through on q1 looks also pretty good and
00:20:36
Q4 looks healthy as well so for example
00:20:38
Shopify their read through on GDP was
00:20:42
actually pretty healthy hary was on I
00:20:45
think it was CNBC I saw this morning
00:20:47
basically saying he thinks consumer
00:20:49
spending is still strong and it's still
00:20:50
there so I think in terms of just like
00:20:54
economic strength I think it's pretty
00:20:56
decent actually I think what Chang for
00:20:58
the market was the fed's rhetoric and I
00:21:02
think that they were holding on to this
00:21:04
option that they were going to show up
00:21:06
out of nowhere with another 25 or 50
00:21:08
basis point increase and I think that
00:21:10
that's fundamentally now off the table
00:21:12
and I think that that's really hardening
00:21:14
for the market that's good for the
00:21:15
market grow stocks are ripping a firm
00:21:17
tuner are up 20% today ripping ripping
00:21:20
ripping open door ripping door Dash
00:21:23
ripping all these companies are up 20
00:21:25
and 25 and 30% it's crazy yeah so are we
00:21:29
calling bottom
00:21:30
stxs well maybe I mean I don't know it's
00:21:34
so hard to predict the markets but if
00:21:36
you believe that there's
00:21:38
more upside to rates than downside
00:21:42
meaning that the odds of a rate decrease
00:21:44
are much greater than the odds of a rate
00:21:46
increase from here then there is upside
00:21:49
to valuations particularly for gross
00:21:51
stocks also for distressed real estate
00:21:53
because all these things get more
00:21:55
valuable when rates are lower so if you
00:21:57
believe that we're going to be in a in a
00:21:59
cycle of rate decreases and that whole
00:22:02
thing has played its way out then
00:22:03
everything's going to Rally well let's
00:22:05
talk about real estate because I think
00:22:07
that's one of the biggest overhangs
00:22:10
right now that hasn't fully been
00:22:11
accounted
00:22:12
for there's you know $3
00:22:16
trillion of commercial real estate loans
00:22:19
sitting out on Commercial Banks balance
00:22:22
sheets in the US today 3 trillion it's
00:22:24
an insane
00:22:25
number and we were all talking over T
00:22:28
the other day as you guys know about
00:22:30
this building that's being shopped and
00:22:31
got some attention on Twitter I think
00:22:33
the it's 115 samom you guys know this
00:22:36
building I've lived in San Francisco for
00:22:38
20 how long have I lived there 20 some
00:22:40
odd years now so I know this
00:22:44
building and it's 125,000 foot building
00:22:47
that's going to likely be fully vacant
00:22:49
in call it two to three years so the guy
00:22:51
puts it up for sale the equity owner he
00:22:54
puts the building up for sale and he's
00:22:56
basically like running auction on it and
00:23:00
the Brokers are all saying hey it's
00:23:01
currently at 199 bucks a square foot
00:23:03
which translates to $25 million it'll
00:23:06
probably get done at 300 bucks a square
00:23:08
foot which is about $38 million for the
00:23:10
building the problem is if you look at
00:23:12
the debt on the building there's 53
00:23:14
million of debt B OFA owns that note so
00:23:18
Bank of America in 2016 issued a $54
00:23:21
million note on this building if this
00:23:23
deal closes at $39 million the equity
00:23:27
owner who's running this auction to sell
00:23:29
the building makes 0 all that happens is
00:23:32
that money pays down the debt and the
00:23:34
debt only gets 7 cents on the dollar and
00:23:36
B of A has to take a write down on the
00:23:38
rest so there's a rumor that in this
00:23:41
particular case what's happening is the
00:23:43
equity owner of the building is putting
00:23:45
it up for auction to show the bank hey
00:23:49
this thing's only worth 7 cents on the
00:23:51
dollar for you on your debt you should
00:23:53
restructure my debt so apparently there
00:23:55
have been a lot of building owners that
00:23:56
have been going to their Bank and saying
00:23:58
Hey I want to restructure my note I want
00:24:00
to have longer payment terms I want to
00:24:02
keep the rates lower for longer I want
00:24:04
to have some of the debt forgiven
00:24:05
anything they can do to get the cost of
00:24:07
the debt down because the overhang of
00:24:09
the debt on all these buildings is so
00:24:11
significant these buildings cannot make
00:24:13
money and the owners will never make
00:24:14
money so they're like why am I even
00:24:15
wasting my time so they have one option
00:24:17
which is to hand the keys back to the
00:24:19
bank and say here you go you auction it
00:24:20
and sell it good luck and the other
00:24:22
option is to go to the bank and say hey
00:24:24
restructure my debt let's figure out a
00:24:26
deal here's the problem
00:24:28
the $3 trillion of debt that we just
00:24:30
mentioned that's sitting on all the
00:24:31
bank's balance sheets is all being held
00:24:33
at par they're not discounting it at all
00:24:35
and they're not marking it as being
00:24:36
impaired in any way so as soon as they
00:24:38
have to start writing this stuff down
00:24:40
the bank's balance sheets all get
00:24:41
impaired and so there's a real risk in
00:24:43
the market that I don't think's been
00:24:45
fully accounted for that we're starting
00:24:46
to see the cracks and to chim's point
00:24:49
this might accelerate either fed action
00:24:52
or as I've mentioned in the past I think
00:24:54
the federal government steps in and
00:24:56
starts to issue programs to support
00:24:58
commercial real estate developers and
00:24:59
owners SX I know you've been following
00:25:01
this quite a bit you know maybe you
00:25:03
could share your point of view and if
00:25:04
I'm off on this in terms of how
00:25:05
significant of a problem this is how you
00:25:08
know how much of the three trillion of
00:25:09
debt really is impaired and by how much
00:25:11
should it be impaired do we think
00:25:13
massively I think it's a huge problem if
00:25:15
you talk to anybody any of these uh
00:25:18
commercial real estate developers or
00:25:20
sponsors they'll tell you many of them
00:25:22
are just kind of hanging on by their
00:25:23
fingernails I mean it's really ugly and
00:25:26
you know how dist things are when you
00:25:28
actually look at some of these sales
00:25:30
that same account on Twitter that you
00:25:31
posted he's got like a a tweet storm
00:25:33
here showing about half a dozen of these
00:25:36
sales that have happened in the last few
00:25:38
months and buildings are now selling for
00:25:42
$2 to $300 a square foot in San
00:25:44
Francisco these are buildings that could
00:25:45
have sold for a th000 bucks a foot you
00:25:48
know a couple of years ago and now
00:25:50
they're selling for 2 to 300 the
00:25:52
replacement cost if you were to try and
00:25:53
recreate these buildings from scratch
00:25:55
given how expensive it is to build in
00:25:57
San Isco and how complicated the
00:25:59
entitlements process is probably be
00:26:01
1,200 plus a foot so these buildings are
00:26:05
selling for 10 to 20% of their
00:26:08
replacement
00:26:09
cost these are fire sales if you look at
00:26:12
the loans in the in the San Francisco
00:26:14
commercial real estate market do you
00:26:15
think that the loan value is probably
00:26:17
impaired by 40% because that's roughly
00:26:19
what it would say on that 115 Sansom
00:26:21
building is BFA would probably have to
00:26:23
take a 30 40% markdown on their debt do
00:26:25
you think that's the right way to think
00:26:26
about the numberers 30 to 40
00:26:28
you could figure it out this way a
00:26:29
typical commercial real estate deal is
00:26:31
about 13 equity and 2/3 debt so somebody
00:26:33
bought a building at call it $1,000 a
00:26:36
foot they would have had to have put in
00:26:38
call it 333 of equity 666 of debt yeah
00:26:43
now if that building is only worth I
00:26:46
don't know 200 250 a foot there's $750
00:26:49
of loss per foot right and only 333
00:26:54
roughly half of it is equity so the debt
00:26:58
is taking a huge haircut there too yeah
00:27:00
debts about 40 50% right yeah and no one
00:27:02
wants to recognize that loss the equity
00:27:05
holders certainly don't because they get
00:27:06
wiped out and even the banks are
00:27:08
reluctant to recognize that loss because
00:27:10
who knows what that could trigger when
00:27:13
their balance sheets are so impaired so
00:27:16
what where these people gonna come from
00:27:18
suck where they where like this is my
00:27:20
this is my big problem with this
00:27:22
argument is I I think that numerically
00:27:24
you're right that there is this
00:27:27
bottoming or there is just like a lot of
00:27:29
value to be had right the the problem is
00:27:32
and I'll and I'll give you an example of
00:27:33
a company that I own so it's not even a
00:27:36
company that I'm just a minority
00:27:37
investor
00:27:39
in we used to be in San
00:27:41
Francisco and we went virtual now all
00:27:45
the salaries are pegged to San Francisco
00:27:47
salaries but now everybody's sort of
00:27:48
like everywhere throughout the country
00:27:50
we don't have an office space and I'm
00:27:53
really struggling trying to figure out
00:27:54
how to actually bring everybody together
00:27:57
and my choices were I thought okay well
00:27:58
let me find what it would cost to
00:28:01
actually run this place in San Francisco
00:28:03
and my my Opex would have gone up 15 20%
00:28:07
just for the building so then I'm like
00:28:09
okay well where else can I go and it's
00:28:11
like well I could go to a place like Las
00:28:14
Vegas and I could put the people
00:28:16
there it's an hour so it's close by we
00:28:19
can fly there whenever we need
00:28:22
to it's got no tax so maybe that's an
00:28:24
advantage for the
00:28:26
employees and so I'm in this constant
00:28:28
hamster wheel as an owner of a business
00:28:31
I can't get people into the office if I
00:28:32
do bring them into the office it's super
00:28:34
expensive and it bloats my Opex so I'm
00:28:37
just trying to figure out how does that
00:28:39
get resolved for people like me so that
00:28:41
we want to go back to San Francisco and
00:28:43
rent those buildings that are so cheap
00:28:45
those buildings are going to have to get
00:28:46
written down first so I set up my
00:28:48
company in 2006 and I was paying $22 a
00:28:51
square foot for my first office in '06
00:28:54
and then we ended up getting a really
00:28:55
nice office and I think we ended up
00:28:56
paying like3 to 40 bucks a square foot
00:28:59
by the time we move to a super nice
00:29:00
office around
00:29:03
2010 but around that time which was also
00:29:06
when GFC happened the global financial
00:29:07
crisis in 0809 and that's when rates
00:29:10
dropped to zero and that's also when all
00:29:13
startups and tech companies said hey
00:29:14
let's start setting up in San Francisco
00:29:16
because it's mostly young people that
00:29:18
are Engineers now they mostly want to
00:29:20
live in the city they mostly want to be
00:29:21
single and have a good life here rather
00:29:23
than go live in Suburban Silicon Valley
00:29:25
and so real estate shot up because rates
00:29:27
were zero all the tech companies were
00:29:29
setting I mean sax you had Yammer in San
00:29:32
Francisco didn't you were you in the
00:29:33
peninsula yeah yeah and that was like
00:29:35
the place to have your company was in
00:29:36
the city and so I would argue like if
00:29:39
you go back to the ' 0809 era that's
00:29:41
really when San Francisco started to
00:29:43
take off and it was almost like a bit of
00:29:46
an outlier of a bubble that started all
00:29:48
the way back then and then you know the
00:29:50
Zer environment kept things moving up
00:29:51
and up and up over the years that
00:29:52
followed I do think that this like this
00:29:55
Market will likely normalize back back
00:29:57
to pre 2010 pre
00:30:00
09 and that's when rates were like in
00:30:02
the 25 to 35 bucks a square foot range
00:30:05
for you know but are you saying that I
00:30:06
will move back to that building and I'll
00:30:08
and I'll move my company back there when
00:30:10
it gets repriced yes I do think so are
00:30:13
you sure I don't see how I don't see how
00:30:15
the market stays where it is yeah jamas
00:30:17
argument is basically on the demand side
00:30:19
basically saying where is all this
00:30:20
demand going to come from I think you
00:30:21
could give it to me for zero and I
00:30:23
wouldn't bring my team back there I'm
00:30:24
just asking like again the math all
00:30:26
makes sense on a spreadsh but the big
00:30:28
issue is as an owner of a company why
00:30:31
would I ever bring my team back to that
00:30:32
place and I'm struggling even at like Oh
00:30:35
you mean because it's a nasty City
00:30:36
because it's all messed up the city's
00:30:37
messed up first of all what if you're if
00:30:39
you're asking me to blow my Opex 10 20%
00:30:42
the answer is absolutely not will I do
00:30:44
that then if you're saying well chath
00:30:46
how about at zero let's just go to zero
00:30:48
right it's free take the building yeah I
00:30:50
still wouldn't do it because then these
00:30:51
people have to move from all around the
00:30:53
country come back here and all of a
00:30:54
sudden just live in a slimy dungeon
00:30:59
yeah so how does that get solved so that
00:31:00
building should be zero Zach do you own
00:31:03
buildings in San Francisco what's your
00:31:05
answer as a landlord yeah I only own
00:31:07
buildings in Jackson Square which is
00:31:08
like the one decent part remaining of
00:31:10
San Francisco and which is actually
00:31:12
where people want to be and we've seen
00:31:13
pretty good leasing activity there
00:31:14
because it's as people get driven out of
00:31:17
Market Street and out of s they actually
00:31:20
they substitute to Jackson Square look I
00:31:22
think Jam makes a good point which is
00:31:24
the demand picture for San Francisco is
00:31:26
really unclear there's something like
00:31:27
call it 30% vacancy so there's an
00:31:30
enormous number of these zombie
00:31:32
buildings and it's really hard to
00:31:34
understand where the demand is going to
00:31:36
come back to fill them now the
00:31:39
counterargument to that is yeah but it's
00:31:41
so cheap I mean these buildings are so
00:31:44
cheap they're basically selling for
00:31:46
almost land value that's Jam's point
00:31:48
it's like it goes to zero yeah so if
00:31:50
there's a recovery then it's very
00:31:52
asymmetric right I mean you could get
00:31:55
three or 4X upside on your money very
00:31:56
very quick quickly rates come down over
00:31:58
the next couple years you could refile
00:32:00
your Equity out so that's the
00:32:03
counterargument is yeah we're not
00:32:04
exactly sure where the demands comes
00:32:06
from but if you are willing to have a
00:32:08
long-term Outlook like five or 10 years
00:32:11
then there's a pretty good chance that
00:32:12
it'll come back somehow I think one of
00:32:14
the things that has to happen in order
00:32:17
to Foster that demand is for there to be
00:32:19
some fundamental changes in the politics
00:32:21
of the city and the question is how does
00:32:24
that happen and I think one of the ways
00:32:25
it could happen is the city starts
00:32:27
facing huge budget shortfalls which are
00:32:30
coming there a there's going to be a
00:32:31
huge budget shortfall over the next year
00:32:34
and next couple of years because there's
00:32:35
no activity I mean a third of the
00:32:37
economic activity of the city has just
00:32:39
dried up and what about the rest of the
00:32:41
country so tell me like if if this is
00:32:42
what's happening in San Francisco what's
00:32:44
happening in Boston Dallas New York City
00:32:47
well I don't think those areas are as
00:32:48
impaired they don't have the vacancy
00:32:50
rates that San Francisco does I mean so
00:32:52
if you look Major Market has 30% so just
00:32:55
coming back to my prior question if you
00:32:56
were to assume San Francisco commercial
00:32:58
real estate debt is impaired on the
00:33:00
order of 30% what do you think the debt
00:33:03
load for the for all commercial real
00:33:05
estate around the country is impaired is
00:33:07
it 10% 15% 20% I don't know I mean I I
00:33:12
think that you probably for San
00:33:14
Francisco I'd say probably half the debt
00:33:17
should be written off I don't know what
00:33:18
it is for the rest of the country
00:33:19
there's already half a dozen these
00:33:21
buildings that have traded in the range
00:33:22
that we're talking about and there'll be
00:33:24
about 20 more that are coming to Market
00:33:26
that'll trade in the next year it's
00:33:27
going to be fire sale after fire sale
00:33:30
and you you have to clear out all of
00:33:33
this bad equity and then you've got to
00:33:35
clear out all this bad debt and the
00:33:37
market can reset itself look chath has
00:33:40
has asked the you know $64,000 Question
00:33:43
here which is when will the demand come
00:33:46
back and what will it consist of and
00:33:48
that is the leap of faith here that you
00:33:50
have to make just to finish the point I
00:33:52
was making the city the politicians are
00:33:54
going to be under extraordinary Str
00:33:56
stress because there's not going to be
00:33:58
any budget so what are they going to do
00:33:59
are they going to lay off half the city
00:34:02
employees reform pensions and salaries
00:34:04
or are they going to start to realize
00:34:07
that all of their crazy transfer taxes
00:34:08
all their crazy regulations and
00:34:10
entitlements need to be stripped away to
00:34:13
start fostering real activity in the
00:34:14
city are they going to start investing
00:34:16
in police again are they going to start
00:34:17
cleaning up the city are they going to
00:34:19
act as a partner to business I mean
00:34:22
that's where the incentives are going to
00:34:23
be is for them to start acting like a
00:34:24
partner again and that's a huge leap of
00:34:28
faith given how crazy leftwing the
00:34:30
politics of San Francisco have been but
00:34:32
they may not have a choice because it's
00:34:34
going to come down to do we fire half
00:34:36
the government employees or do we start
00:34:38
working with business instead of driving
00:34:40
them out of the city I don't want to get
00:34:42
too caught up in San Francisco politics
00:34:44
and San Francisco as a region I think
00:34:46
you know we' we've hashed that one out
00:34:47
but the bigger question is if there's
00:34:49
this impairment on three trillion
00:34:51
dollars of commercial real estate debt
00:34:53
across the country who eats the loss so
00:34:56
who owns all the equity in these
00:34:57
buildings and where does that ultimately
00:35:00
flow through to what are the second
00:35:01
order effects and who owns the debt and
00:35:03
where does that all flow through to we
00:35:04
know the debt sits on the commercial
00:35:06
Banks do the bank stocks get beat up the
00:35:09
Market's been cognizant of this folks
00:35:11
have been shorting and selling Regional
00:35:13
Bank stocks and then Bill gross the
00:35:15
well-known Bond Trader used to run Pimco
00:35:17
came out this week and said hey I've
00:35:19
been tracking all these Regional Bank
00:35:21
stocks they're down so much it's insane
00:35:24
they're they're trading at a huge
00:35:25
discount to book I'm going to start
00:35:27
buying and then this morning he put out
00:35:28
a tweet saying I'm buying these stocks
00:35:30
and he listed the names of the bank
00:35:31
stocks he's like the Bottom's been hit
00:35:33
do you buy that I mean is is this
00:35:34
already been priced into the market that
00:35:36
this debt is going to be written off at
00:35:38
some point and all these balance sheets
00:35:39
are impaired because these banks are
00:35:40
trading at a big discount to book value
00:35:42
so well book well Book value is a term
00:35:45
that you need to put in quotes so my
00:35:46
question would be what are the rules
00:35:48
around the real Mark to Market because I
00:35:50
think that when we talked about the
00:35:51
banking crisis the biggest problem was
00:35:53
these guys were playing fast and loose
00:35:55
with valuations and so are these things
00:35:58
actually valued to Market and do they
00:36:01
have to they're not yet no that's the
00:36:02
point that's why they're trying to avoid
00:36:04
these sort of these book values are
00:36:07
ilate yeah and that's why they're
00:36:09
trading at a discount but Bill gross is
00:36:10
now saying they're trading at such a
00:36:11
discount to whatever the accounting is
00:36:13
that they're like now well below the
00:36:15
fair value that's the argument for San
00:36:17
Francisco real estate I sorry that at
00:36:20
least for these fire sales that are
00:36:21
happening yeah well SX let me ask you
00:36:23
one more question so I mentioned the
00:36:24
Biden program Biden announced this
00:36:26
program
00:36:27
which is effectively $45 billion in
00:36:30
federal money to convert commercial
00:36:32
buildings into condos and residential
00:36:34
buildings he basically relies on a 1998
00:36:38
transportation and infrastructure bill
00:36:40
that provides authority to the federal
00:36:42
government to issue low interest
00:36:43
interest loans for specific
00:36:45
infrastructure projects if you're a
00:36:47
developer is it realistic that this
00:36:49
money is going to unlock potential for
00:36:52
increasing affordable housing density in
00:36:54
urban centers by converting Office
00:36:56
Buildings into residential buildings
00:36:59
people talk a lot about these office to
00:37:01
residential conversions the problem is
00:37:03
it's easy to say and much harder to do
00:37:05
most commercial Office Buildings don't
00:37:08
meet the structural requirements or
00:37:10
architecturally they're not really
00:37:11
suitable if you think about most
00:37:14
commercial Office Buildings they've got
00:37:17
really big floor plates and if you think
00:37:20
about like restructuring them into
00:37:21
Apartments there's not proper window
00:37:22
coverage there's not proper utilities so
00:37:25
it's a lot hard than it sounds and I'd
00:37:28
say most Office Buildings don't meet a
00:37:32
lot of the requirements for this but I
00:37:34
think what's good about this executive
00:37:36
order even though I don't really believe
00:37:38
this is a great use of 45 billion is
00:37:39
that it's sending a signal to all of
00:37:43
these cities all these local governments
00:37:45
that we need to get with the program
00:37:46
here in other words you've got you know
00:37:48
a blue executive sending a message to
00:37:51
all these blue cities and states that
00:37:54
commercial real estate is in distress
00:37:55
and you need to loosen up your
00:37:57
entitlements you need to loosen up your
00:37:59
regulations it's sending a message to
00:38:02
the city of San Francisco and all these
00:38:03
other cities that you guys need to start
00:38:06
doing positive things and this is my
00:38:09
point about will San Francisco start
00:38:13
acting like a partner for Real Estate
00:38:15
development which is how you make real
00:38:17
estate work or will they continue to
00:38:19
drive all of these crazy regulations so
00:38:22
I I mostly see this Biden program as
00:38:24
symbolic I see but the question is
00:38:26
whether
00:38:27
the symbolism will actually drive better
00:38:29
Behavior by these blue cities I
00:38:31
personally think they're just trying to
00:38:32
find more ways to pump money into
00:38:34
supporting commercial real estate
00:38:35
markets because of the issues we just
00:38:37
highlighted and I think this is the
00:38:38
first of what will likely be several
00:38:40
programs to support framed as things
00:38:42
like affordable housing but really
00:38:44
designed to support the economic loss
00:38:47
impairment that's going to be inevitable
00:38:49
at some point right but but you know you
00:38:50
can't you can't convert an office
00:38:52
building to a residential building
00:38:54
without resoning typically totally yeah
00:38:56
yeah then this is where you need action
00:38:58
by these City governments they've got to
00:38:59
reone they've got to reduce the
00:39:01
regulations they've got to eliminate
00:39:03
these transfer taxes um they have to
00:39:05
make these project yeah exactly they
00:39:06
have to make these projects economically
00:39:08
viable I think that we'll be able to
00:39:11
look back in San Francisco will be an
00:39:14
incredibly measurable
00:39:17
experiment
00:39:19
on the return on invested
00:39:22
capital on the return on invested
00:39:25
capital of Progressive left
00:39:28
ideology and it will be a great case
00:39:32
study now if it works it will prove that
00:39:36
all of these ideas that were kind of
00:39:39
talked about in kind of like high
00:39:41
intellectual
00:39:43
circles has some value and if it fails
00:39:46
which it looks like it's failing it'll
00:39:48
never be tried again for a very long
00:39:49
time either way you're going to have a
00:39:51
very clear answer and the good news is
00:39:53
we're we're probably another five or 10
00:39:56
years away from that bottoming well
00:39:58
actually can I ask you a quick question
00:39:59
Jam so there was a article here saying
00:40:02
that the city Controllers Office for San
00:40:05
Francisco has released its projected
00:40:09
budget shortfalls for the coming years
00:40:12
it's almost half a billion for 20242
00:40:15
reaching 1.3 billion in
00:40:18
2728 so what do they do about this I
00:40:21
mean they money they'll borrow money and
00:40:25
you you can look at all of these other
00:40:26
municipalities around the country as
00:40:28
examples but counties and municipalities
00:40:30
and cities that are in much worse fiscal
00:40:33
shape than San franisco was able to stay
00:40:36
incompetent for a lot longer and so that
00:40:39
Delta te of incompetence tends to be
00:40:41
about 5 to 10 years I would say the
00:40:43
midpoint is eight so if we're starting
00:40:45
now you'll probably see some rationality
00:40:48
by 2032
00:40:51
2033 right that's how much borrowing
00:40:54
David I think you can tap in the in the
00:40:57
mun Market because you know again this
00:41:00
is sort of the the double-edged sword
00:41:01
right like when you're a Triple Tax
00:41:03
advantag borrower you can paint the case
00:41:06
for being in San Francisco which is part
00:41:08
of California etc etc etc and your
00:41:11
alternative is to own something in a
00:41:13
state that's not nearly as economically
00:41:15
vibrant it's a pretty easy case to make
00:41:17
to be able to borrow the money I think
00:41:18
and so the problem is that it'll take
00:41:20
like I said another probably eight years
00:41:23
10 years so before the the spigot gets
00:41:26
turned off and they have to make some
00:41:27
harsh changes so they'll keep running
00:41:29
this experiment for at least I think if
00:41:31
you want to be conservative for at least
00:41:32
a decade another decade so they'll just
00:41:34
pile on the debt until pile on the debt
00:41:37
absolutely I don't want to keep harping
00:41:39
on San Francisco let's let's move on to
00:41:41
we work because we work feeds into this
00:41:43
real estate piece I don't know if you
00:41:44
guys saw this article that U Wall Street
00:41:46
Journal reported that we work it's going
00:41:48
to file for chapter 11 as early as next
00:41:50
week they have a significant debt burden
00:41:53
owed to SoftBank Vision fund as part of
00:41:56
their go public they've signed leases in
00:41:58
Office Buildings in San Francisco and
00:42:00
elsewhere around the country $10 billion
00:42:02
in total lease obligations due starting
00:42:05
in the second half of 2023 through the
00:42:07
end of 27 and after that an additional
00:42:10
$15 billion starting in 2028 and as of
00:42:13
June we work had 70 777
00:42:16
locations including
00:42:18
229 in the US in major cities the
00:42:21
business made about call it 840 million
00:42:24
bucks in Revenue last quarter
00:42:26
so that works out to call it a $3.5
00:42:29
billion Revenue run rate with you know
00:42:31
$10 billion of lease obligations
00:42:33
starting next year so the business is
00:42:35
just drowning in these lease obligations
00:42:36
and to restructure 777 lease obligations
00:42:40
in this environment that we're talking
00:42:41
about while doing what jamat is saying
00:42:44
lowering rents to attract employers to
00:42:47
show up and actually rent space from
00:42:49
them is obviously causing the business
00:42:51
model to distort even worse than it has
00:42:53
been historically they burned $8 billion
00:42:55
doll of preash flow in since Q4 of 2019
00:42:59
8 billion of free cash there's no
00:43:02
question that that wework has been a
00:43:04
capital destruction machine that being
00:43:06
said I actually think that some private
00:43:09
Equity player is going to buy this out
00:43:10
of bankruptcy and make a fortune I agree
00:43:12
with that too because out of those 777
00:43:17
locations a lot of them are good
00:43:19
locations and have good tency they
00:43:23
probably generate good Revenue the
00:43:25
problem is that the leases are just bad
00:43:27
and bankruptcy gives you the power to
00:43:28
break those leases or renegotiate them
00:43:31
so a really smart private Equity player
00:43:33
would come in here and say okay we're
00:43:35
going to take these locations we're
00:43:36
going to divide them into three buckets
00:43:37
bucket number one is we're going to get
00:43:39
rid of them because they're just bad
00:43:40
locations we don't want them there's
00:43:42
just no occupancy bucket number two is
00:43:44
we're going to go to the landlord and
00:43:45
say that sorry like this lease doesn't
00:43:48
work for us we will be willing to work
00:43:51
for you as an operator of the space and
00:43:54
you'll pay us a fee and a REV share on
00:43:56
whatever it makes but we can't pay you a
00:43:58
guaranteed rent so that's bucket number
00:44:01
two and then bucket three which will be
00:44:03
the best locations they'll go back to
00:44:04
the landlord and say Here's 60 cents on
00:44:06
the dollar we're willing to pay you this
00:44:08
in in rent that's it if that's not good
00:44:10
enough for you we're breaking the lease
00:44:12
we're out and those landlords are going
00:44:13
to have to accept it because who they
00:44:15
going to get who's any better and they
00:44:17
don't even have the ti they don't have
00:44:19
the capital to put some new tenant in
00:44:21
there and even if they could put someone
00:44:22
in there it's not going to be at a rent
00:44:25
that's much higher than 60 cents on the
00:44:27
dollar because we work made a lot of
00:44:29
these top of Market leases so I think
00:44:32
the landlord will take the bird in the
00:44:33
hand so think about it some private
00:44:35
Equity player goes in there renegotiates
00:44:37
all these leases sheds the bad ones and
00:44:40
all of a sudden the business is going to
00:44:41
make a lot of money and the reason why
00:44:43
it's going to make money is because we
00:44:45
work poured all of this uh Capital into
00:44:49
renovating these spaces and making them
00:44:51
really nice I mean if you go into a Wei
00:44:53
work they are really nice spaces and the
00:44:56
reason for that is because we work spent
00:44:59
billions of TI dollars making these
00:45:02
things incredibly nice was that a wise
00:45:04
investment no it was a terrible
00:45:05
investment but that money has been spent
00:45:08
and already lost that that Capital has
00:45:10
been wiped out so whoever buys this
00:45:12
thing out of bankruptcy now is going to
00:45:13
be the beneficiary of all of those
00:45:15
absurd TI dollars that were spent when
00:45:19
Adam Newman oh my God you just convinced
00:45:21
me let's go buy it let's put it in a bid
00:45:24
is it filed is it filed the Brilliance
00:45:27
of Adam Newman was somehow convincing
00:45:29
wow all these investors to put in
00:45:32
billions of dollars into TI money on the
00:45:35
theory that it was a software business
00:45:37
this was never a software business it's
00:45:38
a real estate development company it was
00:45:41
reges it was reg it was so I got soft
00:45:45
Bank put in a total of $16.9 billion in
00:45:49
equity and debt oh my gosh is that
00:45:52
incredible who did oh my gosh sof sof
00:45:55
which is mostly through the vision fund
00:45:57
which is as you guys know 45% Saudi
00:45:59
money it was Regis with much better
00:46:00
design but that design came at a huge
00:46:03
expense which was again this
00:46:05
overinvestment in in TI dollars combined
00:46:08
with the fact that they had no
00:46:10
discipline around signing leases and
00:46:12
they have so many topof Market lease
00:46:14
deals yeah but again that's all fixable
00:46:17
for someone who comes in old saying in
00:46:18
real estate that it's the third owner
00:46:21
who makes all the money like the first
00:46:23
owner who does all the ground up they
00:46:24
lose a fortune and they blown out then
00:46:27
the second guy comes in and thinks that
00:46:29
they're going to make it work but they
00:46:31
can't make it work either so then they
00:46:32
get blown out and it's finally the third
00:46:34
person who comes in who makes all the
00:46:36
money and that's gonna happen here too
00:46:38
oh my God that's just fantastic this is
00:46:40
a story of the ages let's transition
00:46:42
from one bubble to the most recent
00:46:45
bubble so AI regulation given the frenzy
00:46:47
and frothiness and fear-mongering on AI
00:46:50
destroying the world which I would
00:46:53
personally argue as largely fear
00:46:56
porn the Biden Administration took it
00:46:58
upon themselves to try and be leaders in
00:47:00
regulating Ai and published an executive
00:47:03
order on October
00:47:04
30th this long anticipated executive
00:47:07
order covers a very broad range of
00:47:09
matters in 111 page order document
00:47:12
covers very specific actions in very
00:47:15
detailed terms it uses technical terms
00:47:16
of Art and I think it creates as much
00:47:19
confusion as it does provide Clarity
00:47:21
it's an executive order so it's not
00:47:24
legislation and there's much in here
00:47:26
that some would argue needs to be
00:47:28
legislated as an executive order it can
00:47:30
be overturned very quickly and easily by
00:47:33
the next Administration it largely
00:47:35
demands voluntary action from technology
00:47:38
companies to submit their models
00:47:40
infrastructure and tools for review for
00:47:45
proof of safety don't forget the equity
00:47:47
and inclusion there's an equity
00:47:49
inclusion component which is that your
00:47:50
models have to account for diversity
00:47:52
equity and inclusion diversity equity
00:47:53
and inclusion there's a phrase from the
00:47:55
executive order the term dual use
00:47:57
foundational model means an AI model
00:47:59
that is trained on Broad data generally
00:48:01
uses self-supervision contains at least
00:48:04
tens of billions of parameters is
00:48:05
applicable across a wide range of
00:48:07
contexts and that exhibits high levels
00:48:10
of performance at tasks that pose a
00:48:12
serious risk to Security National
00:48:13
Economic Security Public Safety or any
00:48:15
combination of those matters none of
00:48:17
which ultimately describes end points
00:48:19
none of which describes loss or
00:48:22
applications to me this is the biggest
00:48:24
problem I see with the executive order
00:48:27
and with the approach to AI regulation
00:48:28
broadly particularly with what's being
00:48:30
developed and has been leaked in what
00:48:32
terms of what's being developed out of
00:48:33
the EU which is that many of these
00:48:36
government agencies government actors
00:48:38
are trying to Define and regulate
00:48:42
systems and methods rather than regulate
00:48:45
outcomes and applications for example if
00:48:47
you were to say you cannot commit fraud
00:48:50
and falsely impersonate someone using
00:48:53
software you can rightly say that it
00:48:56
follows the rule of law and we should be
00:48:58
able to adjudicate that cleanly in
00:49:00
courts instead to have government
00:49:03
agencies and have what this executive
00:49:05
order describes as a chief AI officer in
00:49:07
every Federal agency responsible for
00:49:09
regulating the systems and methods of
00:49:12
all the actors and all the private
00:49:14
companies that are building software to
00:49:16
say this is the scale that your software
00:49:18
can get to you could have a certain
00:49:21
number of parameters if you're bigger
00:49:22
than this number of parameters we have
00:49:24
to come in and check your software
00:49:26
creates an outlandish standard and one
00:49:28
that makes absolutely no sense
00:49:30
particularly in the context of the pace
00:49:32
of AI progression remember the paper
00:49:35
that was foundational to Transformer
00:49:37
model development which is what a lot of
00:49:39
people call AI today which is develop
00:49:41
these llms and so on came out in 2017
00:49:43
and wasn't really widely adopted until
00:49:45
2018 as a standard we're five years into
00:49:48
this so the way that we're making models
00:49:50
the types of models we're building the
00:49:52
scale of the models the number of
00:49:53
parameters being used the pace at which
00:49:55
these things is changing is staggering
00:49:58
we are only in the first inning and so
00:50:00
to come out and say here are the
00:50:01
standards by which we want to now
00:50:03
regulate you this is the size that the
00:50:05
model can be these are the types of
00:50:06
models it's going to look like medieval
00:50:08
literature in three years none of the
00:50:10
stuff's even going to apply anymore I'm
00:50:12
just really of the point of view as you
00:50:14
guys know that the market needs to be
00:50:16
allowed to develop if we don't allow our
00:50:19
Market to develop in the United States
00:50:21
India and China and Singapore and other
00:50:24
markets will get well ahead of us in
00:50:26
terms of their model development and
00:50:28
their capabilities as a nation and their
00:50:30
capabilities as an industry and the more
00:50:32
our government actors step in and try
00:50:34
and tell us what systems and methods we
00:50:37
are allowed to use to build stuff the
00:50:39
more at risk we are of falling behind
00:50:41
that's my general statement on the
00:50:42
matter I'll pass the the uh the mic I
00:50:45
mean jamat you were advocating for AI
00:50:47
regs a couple months ago I think right I
00:50:48
mean where does this fall with respect
00:50:50
to what you were advocating for and what
00:50:52
you were concerned about well I had a
00:50:54
very specific lens that I viewed this
00:50:58
stuff through and they didn't really
00:51:01
address it I think that this was a
00:51:02
little bit of a kitchen syn EO and I
00:51:07
think what probably happened was
00:51:08
depending
00:51:09
on look I I I mean I think the thing is
00:51:12
like look
00:51:13
they when this process first started it
00:51:16
started in the Senate and it started
00:51:18
with the majority leader Chuck Schumer
00:51:20
and I met with Chuck and then I met with
00:51:22
Chuck's team and then it morphed into
00:51:24
this much bigger thing and I think it
00:51:27
morphed into a lot of people trying to
00:51:31
do the right thing meeting with a lot of
00:51:33
very important and very famous people
00:51:36
and I think somewhere along the way it
00:51:39
just became
00:51:40
this convoluted and Confused document
00:51:44
because I do agree with you that it's
00:51:45
not super coherent there's a lot of
00:51:47
arbitrary requirements you know like
00:51:50
there's like I think there's a
00:51:51
requirement here that at a certain
00:51:53
number of parameters you have to like
00:51:55
self-report yourself to the government
00:51:58
which is like what does that even mean
00:52:01
why why is that even important so it
00:52:03
it's it's just a lot of random stuff so
00:52:05
it just seems like anybody who had the
00:52:07
ear of the people writing this had a
00:52:09
chance to write something
00:52:12
in so it's a little confusing it's not
00:52:16
going to do the job and I think that
00:52:17
you're right in two or three years we're
00:52:19
going to look back and this is going to
00:52:20
look medieval I'll just say I'll point
00:52:22
out another point just one of many that
00:52:24
I could highlight in this document I
00:52:26
read most of it they say you know
00:52:28
there's got to be legislation on
00:52:30
watermarking AI content think about that
00:52:32
for a second what is AI content we've
00:52:36
been using Adobe Photoshop for 30 years
00:52:39
to change photographs and change
00:52:41
documents we've been using various tools
00:52:44
for doing audio generation and music I
00:52:46
mean there's no music that doesn't run
00:52:48
through a digital processor of some sort
00:52:50
there's no video there's no movies that
00:52:53
don't have some degree of CGI elements
00:52:55
or some degree of post production
00:52:58
digital rendering integrated into the
00:53:00
video itself what makes something AI is
00:53:04
it the fact that 100% of the pixels are
00:53:06
generated by software what if it's only
00:53:08
98% is Pixar AI because all of Pixar is
00:53:11
made on computers is the autotune hip
00:53:15
hop artist AI because his voice isn't
00:53:17
coming through on the audio track so
00:53:19
what is AI in this definition the fact
00:53:23
that any piece of content needs to be
00:53:25
watermarked if it's AI I think is one of
00:53:27
the most outlandish infringements on
00:53:30
First Amendment rights I've seen and
00:53:32
doesn't really understand any s in any
00:53:35
sense how software is generally used in
00:53:37
the world today which is frankly
00:53:40
everywhere and to say that now there is
00:53:42
a certain definition of a certain type
00:53:44
of software that we're going to
00:53:46
arbitrarily call AI we want to Watermark
00:53:49
the stuff and we want to get a stamp on
00:53:51
that content so the government can track
00:53:53
it and audit it I think is absurd sax
00:53:57
over to you yeah okay three three quick
00:53:59
points here number one AI has been
00:54:01
convicted of a pre- crime this this EO
00:54:06
it describes it describes this Litany of
00:54:09
horribles this parade of horribles
00:54:11
that's gonna happen unless you know the
00:54:14
wise people in the central government
00:54:16
like Joe Biden and KLA Harris guide its
00:54:18
development so that's what the EO say is
00:54:20
going to do is guide the development of
00:54:21
this technology because if we don't it's
00:54:23
going to result in all these horrible
00:54:24
things happening Steven sinowski who was
00:54:27
a key executive of Microsoft in the I
00:54:29
think going back to the 80s wrote a
00:54:31
really interesting blog post about this
00:54:33
where he he was there at the beginning
00:54:35
of the PC Revolution with the dawn of
00:54:37
the microprocessor in the 70s and 80s
00:54:40
yeah and he pulled a bunch of books off
00:54:41
his bookshelf from that time period
00:54:44
which were sort of these sci-fi books
00:54:45
like forecasting Doom infringement on
00:54:48
privacy one was called The Assault on
00:54:50
privacy another one was called
00:54:51
electronic nightmare another one was
00:54:53
called the rise of the computer State
00:54:55
and so on and so it was also predicting
00:54:57
all these horrible things that would
00:54:59
come from the birth of the computer and
00:55:02
it would put all these people out of
00:55:04
work and so on totally but nobody
00:55:08
allowed these fears to guide the
00:55:11
development of the industry there was no
00:55:12
executive order at that time saying that
00:55:15
we're going to guide the development of
00:55:16
the micros processor to avoid all of
00:55:19
these arms that haven't occurred yet and
00:55:22
instead we're taking a a different
00:55:23
approach here and he makes the point
00:55:25
that if the industry had been guided in
00:55:28
that way then it never would have
00:55:30
achieved the potential that It
00:55:31
ultimately achieved and furthermore he
00:55:33
makes the point that a company like IBM
00:55:35
would have been more than happy to work
00:55:37
with The Regulators to say yeah let's
00:55:38
define a bunch of these rules to make
00:55:40
sure that it doesn't go in this dark
00:55:42
direction that everyone thinks it's
00:55:43
going to go in and you would have gotten
00:55:44
very extreme regulatory capture can I
00:55:47
precog one of the crazy lines in this
00:55:49
thing here are the precogs what here's
00:55:51
one when a foreign person trans acts
00:55:55
with an infrastructure as a service
00:55:57
provider so Azure Google Cloud Amazon to
00:56:01
train a large AI model with potential
00:56:03
cap with potential capabilities that
00:56:05
could be used in malicious cyber enabled
00:56:07
activity they propose regulation that
00:56:09
requires that I ask provider to submit a
00:56:13
report so if you you have to
00:56:17
know you have to know if a foreigner is
00:56:21
using your apis on AWS and then file a
00:56:25
TPS report oh my God what is going on I
00:56:29
have a clarifying question what happens
00:56:31
if you're a foreigner that's on an H1B
00:56:33
at Facebook or you know Microsoft good
00:56:36
question well technically a foreigner
00:56:39
right and then chamath meanwhile
00:56:40
remember when SpaceX is now being sued
00:56:41
by the doj because they haven't employed
00:56:43
enough
00:56:44
foreigners so it's
00:56:48
like they outlaw both sides of it so
00:56:51
that you're you're in non-compliance
00:56:53
just by existing if
00:56:56
you you know what I mean is by death if
00:57:01
you uh employ foreigners in the creation
00:57:05
of these very sophisticated Technologies
00:57:06
you're creating a national security
00:57:07
threat if you exclude them you're
00:57:10
violating their civil rights and these
00:57:11
are regulations are promulgated by two
00:57:13
different parts of the government so the
00:57:15
the the government is basically getting
00:57:16
to a point where no matter which side of
00:57:20
the regulation you choose you're going
00:57:21
to be a non-compliance somewhere and
00:57:23
this is just a recipe for the government
00:57:25
to basically take action against anybody
00:57:27
who they don't like politically yeah now
00:57:29
on this pre- crime point you know one of
00:57:31
the crazier stories that came out and I
00:57:34
think this was in variety is that Biden
00:57:36
grew more concerned about AI after
00:57:38
screening the most recent Mission
00:57:39
Impossible movie in which the villain is
00:57:42
a sensient AI that seizes control of the
00:57:46
world's intelligence apparatus is that
00:57:48
true that's not true well that's what
00:57:50
the story said didn't the Press reporter
00:57:52
ask the press secretary this and this
00:57:54
was was the response who said this the
00:57:57
white house chief of staff I guess said
00:57:59
Reed said Reed who yeah wow unbelievable
00:58:01
the crazy thing is that I think the
00:58:03
reason they're putting out this story is
00:58:04
they don't want to admit how the EO
00:58:06
really happened which is a bunch of
00:58:07
lobbyists came in and like you said a
00:58:10
lot of powerful people from Big Tech
00:58:12
they're all clamoring for regulatory
00:58:14
capture they're all clamoring to define
00:58:16
the regulations so that they can benefit
00:58:18
themselves and keep out new entrance
00:58:20
because one of the big targets here is
00:58:22
going to be open source software so if
00:58:24
you for example open AI which is no
00:58:27
longer open it's closed Source the
00:58:29
number one thing you want to do is pull
00:58:31
up the ladder before open source
00:58:34
software can get a lot of momentum and a
00:58:37
big part of the regulation here does
00:58:38
apply to open source software I think
00:58:40
one of the most problematic things about
00:58:42
this just to move on to the next point
00:58:44
is the way that it's not just this 110
00:58:48
page EO that's being promulgated the
00:58:51
directive is for all these other parts
00:58:53
of the federal government to start
00:58:54
creating their own regulations so it
00:58:56
says here that the National Institute of
00:58:58
Standards of Technology will develop
00:59:00
standards for red team testing of these
00:59:02
models it directs the Department of
00:59:04
Commerce to develop standards for like
00:59:07
you said freeberg labeling AI generated
00:59:08
content it directs explicitly the FTC to
00:59:11
use existing leg regulation to go and
00:59:14
legislate it it requires the FCC to
00:59:17
think about Spectrum licensing rules
00:59:21
through this lens you're absolutely
00:59:22
right it activates every agency of the
00:59:24
government to create more bureaucracy it
00:59:26
no more importantly it creates Authority
00:59:28
for agencies of the government to go
00:59:30
into private servers and run audits
00:59:33
you're allowing the government for the
00:59:34
first time ever to have access to
00:59:36
private information private Computing
00:59:38
infrastructure rather than do what the
00:59:40
job of the government should be which is
00:59:41
to regulate the outputs to regulate the
00:59:44
outcomes to regulate illegal and illicit
00:59:47
activities rather than um regulate
00:59:50
systems and methods that as saxs point
00:59:52
out are prec convicted of a crime there
00:59:53
is no crime until a crime is committed
00:59:56
and so this idea that the government can
00:59:58
come in and regulate and keep a crime
01:00:01
from being committed by auditing and
01:00:03
managing all the systems and methods
01:00:05
that software companies are using puts
01:00:07
the United States at an extraordinary
01:00:09
and unfair disadvantage on a global
01:00:11
stage by the way and by the way llama 2
01:00:13
is out there Hardware is out there all
01:00:15
the tooling is out there for others to
01:00:17
start to get well ahead good news about
01:00:19
the immigration thing there is they
01:00:21
actually on the other side do streamline
01:00:23
the immigration process for people with
01:00:26
AI or other critical Technologies so on
01:00:29
the one hand we should be able to hire
01:00:30
them but then on the back end we'll have
01:00:32
to file a TPS report about what they do
01:00:35
let me just finish my point about all
01:00:37
these different agencies being directed
01:00:38
now to promulgate regulations and by the
01:00:40
way there's some new committee or
01:00:41
Council that's being created of
01:00:43
29
01:00:46
different parts of the federal
01:00:47
government that are now going to
01:00:48
coordinate on this AI stuff so it's
01:00:51
going to be a brussel style bureaucracy
01:00:53
what's going to happen is that with all
01:00:55
of these different bodies issuing new
01:00:58
regulations it's going to get more and
01:01:00
more burdensome on technology companies
01:01:03
until the point where they cry out for
01:01:05
some sort of rationalization of this
01:01:08
regime they're going to say listen we
01:01:10
can't keep up with FCC and Department of
01:01:12
Commerce and this nit Standards Board
01:01:15
just give us one agency to deal with and
01:01:17
so the industry itself is eventually
01:01:19
going to cry uncle and say like please
01:01:22
just give us one and you're already here
01:01:25
people like Sam Alman and so forth
01:01:27
calling for the equivalent of atomic
01:01:29
energy commission for AI this is how
01:01:32
we're going to end up with a federal
01:01:34
software commission just like we have a
01:01:35
FCC to run uh big Communications and we
01:01:39
have a FDA to run big Pharma we're going
01:01:42
to end up with a federal software
01:01:43
commission to run software big software
01:01:46
and the thing to realize about AI is
01:01:49
that functionally there's no way to
01:01:51
really say what the difference is
01:01:53
between AI and software in general every
01:01:55
single technology company it's look in
01:01:57
Valley has AI on its road map it's a new
01:02:00
Computing Paradigm everybody is
01:02:02
incorporating it everyone is using some
01:02:05
elements of AI so this wave of AI is
01:02:09
just becoming software so we're going to
01:02:12
take the one part of our economy that
01:02:15
has been free market and relatively
01:02:17
unregulated which is software it's like
01:02:19
the last Bastion of true entrepreneurial
01:02:22
capitalism and we're going to create a
01:02:24
new federal
01:02:26
agency to manage it that's where we're
01:02:29
all ah headed here
01:02:31
and we're going to end up as an industry
01:02:34
in the same place that Pharma has ended
01:02:37
up or Telecom has ended up which is you
01:02:41
go for permission to Washington no I
01:02:43
Nick can you just put this up so I I did
01:02:46
you know write a blog post sort of
01:02:48
asking for this AI regulation and and I
01:02:51
do think like the model of the FDA is
01:02:54
probably the best one where in certain
01:02:56
use cases I do think that you can create
01:03:00
a Sandbox where these things can be
01:03:02
tested and I think can be
01:03:05
evaluated the problem is that this
01:03:07
legislation or this executive order
01:03:09
doesn't really do that so the way that I
01:03:11
wrote this was well what are the
01:03:13
arguments against what I'm proposing and
01:03:16
unfortunately I have to say every single
01:03:18
one of those arguments is now valid
01:03:21
so I I think that we should have in the
01:03:24
direction of like a simplifying
01:03:26
assumption which is that most of this
01:03:28
stuff is just software and there are
01:03:30
going to be some very specific kinds of
01:03:32
businesses that before you take it to
01:03:34
Market you should do something that's
01:03:37
equivalent to sticking it in a sandbox
01:03:39
letting people see it and and I think
01:03:40
it's easy to Define what those are
01:03:42
actually and the fact that we didn't do
01:03:44
that and we have this overly generalized
01:03:47
approach is going to create more chaos
01:03:48
and people will not know whether they're
01:03:50
in violation or they're in support
01:03:52
they're going to be sort of preg guilty
01:03:54
as you said sacks of a pre-
01:03:56
crime it's just going to it's just going
01:03:58
to be chaos so I think smus board for
01:04:02
politicians because everyone's going to
01:04:03
be lobbing them to try and shape the
01:04:05
regulations the way they want I think
01:04:07
it's going to be a schoras board for
01:04:10
lawyers yeah I me everyone's going to
01:04:12
hire lawyers and lobbyists and policy
01:04:15
people to try and shape these
01:04:16
regulations good time to bet on India
01:04:18
thank God for Mark Mark Zuckerberg and
01:04:20
the open sourcing of the Llama 2 model
01:04:23
it's entirely open source right I mean I
01:04:25
think the biggest thing with llama 2
01:04:27
that I find problematic is that it has
01:04:28
these arbitr arbitrated thresholds on
01:04:31
the number of users one can have yes
01:04:33
before you have to go back to Facebook
01:04:34
so yeah it's 700 million I think right
01:04:37
yeah yeah before I give all the credit
01:04:38
to Facebook I'd rather say that I think
01:04:40
there are a lot of Open Source
01:04:42
Alternatives including mistol that I
01:04:44
think are much better yeah and uh free
01:04:46
and open and in the clear where you can
01:04:48
have unencumbered growth not dependent
01:04:50
on anybody
01:04:53
else yeah yeah but I think your free
01:04:56
your larger point about us versus India
01:04:58
versus China I think this could have a
01:05:00
major impact on our Global
01:05:02
competitiveness of course because as you
01:05:04
look around the what's happening in the
01:05:06
American system there are so many things
01:05:08
going wrong right our fiscal situation
01:05:10
is untenable we're mired in massive debt
01:05:13
we have tremendous internal division in
01:05:15
the country many of our cities are r
01:05:18
with crime you just look at the number
01:05:19
of people living on the streets it's not
01:05:21
good I mean you know there's a lot of
01:05:23
indicators that America's in Decline
01:05:25
we're involved in way too many Foreign
01:05:26
Wars so there's a lot of bad things
01:05:29
happening however the one bright spot
01:05:32
that America's had going for it now I
01:05:34
think for decades is that we've always
01:05:35
been the leader in new technology
01:05:38
development I mean we're the ones who
01:05:39
pioneered the internet we're the place
01:05:42
where mobile took off we're the place
01:05:44
where the cloud took off and everyone
01:05:45
else has been playing catchup with that
01:05:47
and I think we are in the lead in terms
01:05:49
of AI development I mean other countries
01:05:51
are doing it too but I think that we are
01:05:53
in the lead and and it's not because of
01:05:54
the involvement of government it's
01:05:56
because we have this vibrant private
01:05:58
sector that's willing to invest risk
01:06:01
Capital where you know that nine out of
01:06:04
10 checks that you write are going to
01:06:05
zero but that one check that one out of
01:06:08
10 hopefully could be a huge outcome so
01:06:10
we've had this incredible
01:06:12
ecosystem of software development that
01:06:14
is free and unregulated that is
01:06:16
clustered around Silicon Valley but it
01:06:18
you know radiates out to many other
01:06:20
places and the only reason that
01:06:22
ecosystem has thrived and survived is
01:06:25
the reason that bill Gurley stated at
01:06:28
all in Summit which is was it 2200 miles
01:06:30
away from Washington and Washington has
01:06:34
generally kept its Ms off and now we are
01:06:37
headed to a place where not just AI but
01:06:40
basically all software companies are
01:06:42
headed for regulation and like I said
01:06:45
right now it's 29 different agencies
01:06:48
promulgating the regulations but where
01:06:49
this is going to end up is that the
01:06:52
industry is eventually going to beg
01:06:54
for its own agency just to rationalize
01:06:56
all the spaghetti of different
01:06:58
regulations we are eventually going to
01:07:00
beg for our federal agency Overlord just
01:07:03
to rationalize this whole mess and sadly
01:07:06
I think that's where we're going to end
01:07:06
up and a lot of what is special about
01:07:09
our industry which is that two guys in a
01:07:11
garage really can get started in a
01:07:13
completely permissionless way I think
01:07:15
that's going to be jeopardized if that's
01:07:17
the end game that's genius I think that
01:07:19
is the end game I mean do you think that
01:07:20
they wrote this thing in a way just to
01:07:22
create enough confusion where we just
01:07:24
cry uncle and say just regulate us give
01:07:26
us one mute yeah look I don't know if
01:07:28
it's that conscious I think what it is
01:07:30
is there's a lot of politicians in
01:07:31
Washington and Biden and Harris
01:07:33
definitely fall into this category who
01:07:35
just think that Central planning or the
01:07:38
central guiding of the economy or
01:07:40
aspects of the economy to avoid certain
01:07:43
problems that they think they can do
01:07:44
this they think that they are wise
01:07:46
enough to do this or maybe they're
01:07:48
cynical and they just know this a
01:07:49
pathway to campaign contributions but
01:07:51
either way they kind of believe in this
01:07:54
approach and they threw the kitchen sink
01:07:57
at this 110 pages every agency is's now
01:08:01
going to be writing thousands of pages
01:08:02
and I think where it's going to end up
01:08:04
is with a new agency to manage software
01:08:07
so I think Sach it's a the point you're
01:08:11
making is one that some folks in Silicon
01:08:13
Valley have felt for a while which that
01:08:16
is that a lot of the freedom and
01:08:19
opportunity that the United States
01:08:22
offers pioneers and entrepreneurs
01:08:25
has been realized and born out in
01:08:26
Silicon Valley that's feeling like it's
01:08:28
been styed in a number of ways but the
01:08:32
events in
01:08:33
Israel couple weeks ago in my opinion
01:08:38
seems to have shocked a lot of people
01:08:41
that are traditionally very liberal
01:08:44
Democrats into being redpilled I have
01:08:47
had a number of calls with individuals
01:08:49
over the last few weeks that have
01:08:52
historically been very dieh hard blue
01:08:54
liberal Democrats have spent their their
01:08:57
time with NOS with nonprofits with
01:09:01
various efforts to promote liberal
01:09:03
causes and these are folks who may or
01:09:06
may not be Jewish but who have been so
01:09:09
shocked
01:09:10
by what's happened in Israel and how
01:09:14
many liberal
01:09:15
organizations have created this
01:09:18
narrative around being pro Palestinian
01:09:21
in a way that is being deemed and coming
01:09:24
across as highly and in many cases is
01:09:26
very much
01:09:27
anti-semitic and so I've had folks say
01:09:30
I'm giving up everything else I'm doing
01:09:32
and all I'm going to do is change the
01:09:34
causes I'm working on now and I have
01:09:37
just been redpilled do you guys and and
01:09:40
Sham you shared your story on our show a
01:09:43
couple of weeks ago the clip of you
01:09:45
saying that went viral on how you kind
01:09:47
of recognize that maybe Trump was a good
01:09:49
president in the context of what you're
01:09:50
experiencing with the Biden
01:09:52
Administration now we're seeing what the
01:09:53
bid Administration now you seem to be
01:09:56
like the case study that I'm now hearing
01:09:59
more from Silicon Valley folks yeah
01:10:01
about this the shift I think that over
01:10:03
the last three or four
01:10:05
years
01:10:07
my political positions really haven't
01:10:10
changed that much but I think what's
01:10:13
happened is that the the political party
01:10:16
that I've historically been affiliated
01:10:18
with has just kept lurching further and
01:10:21
further to the
01:10:22
left and so it leaves
01:10:26
me looking for a new home I
01:10:30
think and I think that there were a lot
01:10:33
of people that thought they were signing
01:10:35
up for a set of beliefs around Free
01:10:37
Speech around being pro Reproductive
01:10:40
Rights around being supportive of lgbtq
01:10:45
issues but also supportive of a rational
01:10:49
approach to the border and reasonable
01:10:52
fiscal discipline
01:10:54
these are all seem to just be totally
01:10:55
out the window
01:10:58
so I understand because I've I've
01:11:00
actually talked to a lot of my friends
01:11:01
and my friends some of them have been
01:11:04
huge
01:11:05
donors to both Elite colleges and the
01:11:10
Democratic party and they've paused all
01:11:13
of it
01:11:14
and it's definitely given me pause and
01:11:17
I'm just trying to figure out where to
01:11:19
go from here because I think the reality
01:11:21
is that this is a really crazy situation
01:11:24
so I think that there's just a lot of
01:11:25
people that are in the center that don't
01:11:28
really belong anymore the way that the
01:11:29
Democrats represent themselves so
01:11:32
there's clearly something going on that
01:11:33
we just need to get to the bottom of
01:11:35
here because I think it's not probably
01:11:37
the Democratic party that a lot of
01:11:38
people thought that they belong to do
01:11:40
you have other friends and folks that
01:11:41
you know that have traditionally been
01:11:42
Democrat donors in Silicon Valley
01:11:45
chamat that you see are now maybe
01:11:47
considering shifting where they're
01:11:49
giving money to
01:11:51
Republican party candidates and causes I
01:11:54
think it's easy to say that amongst my
01:11:57
friends it's in the billions of dollars
01:11:58
that's been
01:12:00
paused that's insane that's a lot of
01:12:02
money Z you used to be part of a niche
01:12:06
in Silicon Valley Silicon Valley
01:12:08
Republican Niche is your Niche growing I
01:12:11
think so I actually made a list of I
01:12:14
think eight issues that have driven the
01:12:17
shift and when you say there's been a
01:12:18
shift right I wouldn't say that there's
01:12:20
been a shift all the way to the right
01:12:22
but I think there's a shift from the
01:12:24
left to the center by the way that
01:12:25
statement is consistent with what I've
01:12:27
heard personally from a lot of folks
01:12:29
which is I consider myself a Centrist
01:12:31
now that I see that some of these
01:12:33
liberal causes are so they're extreme
01:12:36
from my point of view right so let me
01:12:38
rattle off what I think the key drivers
01:12:40
are number one Reckless fiscal and
01:12:42
monetary policies coming out of
01:12:43
Washington as drunen Miller says we've
01:12:45
been spending like drunken Sailors
01:12:46
number two the Dismal state of San
01:12:48
Francisco because of crime drugs
01:12:50
homelessness and so on and we all know
01:12:52
that's an stream one party government
01:12:55
number three the runis coid policies
01:12:57
they botched the science they harmed the
01:12:59
educational development of kids and they
01:13:01
also harmed work Culture by making
01:13:03
employees feel permanently entitled to
01:13:05
work from home so that's number three
01:13:07
number four this long con of reg
01:13:09
regulatory capture in both Washington
01:13:12
and Sacramento that we just talked about
01:13:13
with AI people are waking up to that
01:13:15
number five the Betrayal of true liberal
01:13:18
values like free speech and open inquiry
01:13:21
number six the way that Tech Visionaries
01:13:23
like Elon have been targeted for
01:13:25
harassment by leftwing politicians
01:13:27
remember Biden said we need to look into
01:13:29
the guy Raina Gonzalez was even less
01:13:31
subtle she said simply Elon Musk number
01:13:34
seven the growing awareness that
01:13:36
wokeness has gone way off the rails uh
01:13:38
we saw this even before the Israel Hamas
01:13:41
War but now I would say number eight is
01:13:43
this war it's really thrown gasoline on
01:13:46
the fire by showing that wokeness leads
01:13:49
to this simplistic breaking up of the
01:13:51
world into oppressor and oppressed
01:13:54
categories and what we're seeing is that
01:13:57
there's a lot of people in the woke left
01:13:59
who are basically cheering for a
01:14:00
terrorist organization and they're able
01:14:02
to rationalize atrocities because of
01:14:05
this simplistic woke
01:14:07
dichotomy that being said I do think
01:14:09
it's possible to support the desire for
01:14:11
a Palestinian State and a two-state
01:14:13
solution without falling into that
01:14:15
bucket I want to be clear about that but
01:14:17
I think that there's been way too many
01:14:18
people on the woke left who have blly
01:14:21
disregarded the atrocity and were
01:14:24
basically cheering for Hamas from day
01:14:26
one on this thing and I think that has
01:14:28
woken up a lot of liberals both Jews and
01:14:31
non-jews who saw Jews as allies on the
01:14:34
left and when they see Jews being
01:14:36
attacked this way that has led them to
01:14:39
really I think question their their
01:14:40
priors on this what did you think of the
01:14:42
Cala Harris announcement yesterday that
01:14:44
they're launching a program to combat
01:14:47
islamophobia in the US at a time when my
01:14:51
understanding is many of their Jewish
01:14:52
donors are up in
01:14:54
arms about their lack of action on
01:14:58
anti-Semitism I mean it just seems it
01:15:00
seem turna I mean look I have not seen
01:15:02
in this particular case I don't think
01:15:04
I've really seen outpourings of
01:15:06
islamophobia to be clear I'm against
01:15:09
islamophobia I'm against hatred towards
01:15:11
any particular group including Muslims
01:15:14
or Jews to me you know any outpouring of
01:15:17
hate towards a particular group is is
01:15:19
bad but yeah this seems like a a problem
01:15:22
that we really haven't seen so it seems
01:15:23
a little bit toned deaf and look this
01:15:26
administration's been kind of stumbling
01:15:27
around on on this whole issue it seems
01:15:29
like they don't really know what to do I
01:15:30
don't know how to quantify it I just
01:15:32
think it's an anecdote what do you think
01:15:34
no I I like I'm saying I don't know how
01:15:36
to quantify it but I think that the
01:15:37
anecdote is a lot of folks no no I'm
01:15:41
saying what what do you think what do
01:15:42
you
01:15:44
feel what do I feel yeah I mean I'm not
01:15:48
a party guy taking a step back this is
01:15:51
getting going to get a little esoteric
01:15:53
but
01:15:54
I think humans organize into social
01:15:55
systems one social system is a family
01:15:57
one is a company and I think that the
01:16:00
government is a social system the point
01:16:01
of a social system is to get influence
01:16:04
to achieve the things you want to
01:16:06
achieve by aggregating together by
01:16:08
creating a tribe by creating a system
01:16:11
and that's what a government is it lets
01:16:12
a lot of people pull resources to get
01:16:14
things done as a group that you wouldn't
01:16:15
otherwise be able to get done
01:16:16
individually same with a company same
01:16:18
with a family to support each other Etc
01:16:21
and I think that the problem with
01:16:23
uh democratically elected governments or
01:16:25
all governments for that matter frankly
01:16:27
is like any other system they and I've
01:16:30
said this in the past they have a
01:16:31
natural incentive to grow I met with a
01:16:34
government person the other day
01:16:36
well-known government person and I was
01:16:39
struck by the the
01:16:41
tone I I've been struck by the tone on
01:16:44
multiple people I've met from the
01:16:45
government on here's all the next things
01:16:47
I'm going to get done and here's how
01:16:48
we're going to grow and do more and be
01:16:50
bigger just like if you're running a
01:16:52
company that's your incentive that's
01:16:53
your model of thinking and like with
01:16:56
your family you want to grow the balance
01:16:57
sheet for your family you want to have
01:16:58
another home you want to take care you
01:17:00
want to build security Etc so
01:17:02
governments as an organizing system are
01:17:04
no
01:17:06
different and so I think that in a
01:17:10
democracy over
01:17:12
time there is as sax points
01:17:15
out a group of folks who get elected and
01:17:19
as a result like a
01:17:20
philosophy that endures in that system
01:17:23
that is all about overcoming the power
01:17:26
that is that we all view there to be
01:17:28
powers that are keeping us from doing
01:17:30
the things we want to do and I think
01:17:32
that this is the ultimate manifestation
01:17:34
of what happens is that you push the
01:17:36
government to be as big as possible with
01:17:39
no end and you push the government to
01:17:42
destroy any system of power that gets in
01:17:44
the way of those who are able to vote
01:17:46
these folks in and now a lot of folks
01:17:48
who thought that they were supporting
01:17:49
liberal causes to help those in need are
01:17:52
realizing that you're actually
01:17:53
repressing minorities in the process
01:17:56
that there are minorities that are
01:17:57
viewed to be powerful like Jews that
01:18:00
there are minorities that are viewed to
01:18:02
be unfairly advantaged like those in the
01:18:05
tech industry that there are minorities
01:18:07
who are viewed to be unfairly advantaged
01:18:09
like billionaires and I know that this
01:18:11
sounds insane to say that those terms
01:18:14
but that's the objective is to destroy
01:18:17
any system of power any individual of
01:18:19
power that has any form of Leverage over
01:18:21
us it's also why I think we've generally
01:18:23
been techn pessimistic in the west since
01:18:26
the late 1960s early' 70s is because
01:18:29
technology has been viewed as this point
01:18:30
of Leverage for creating a power system
01:18:32
for a minority of the people so I I
01:18:35
generally view this as part of a longer
01:18:37
Arc and a natural kind of conclusion to
01:18:40
this stuff and you know I I'm I'm not
01:18:41
trying to be super pessimistic about
01:18:43
where things are going because I do see
01:18:45
that the a lot of folks are now waking
01:18:47
up to this reality and they're like so
01:18:49
my anecdote is I've had a lot of folks
01:18:51
tell me in the last couple weeks we we
01:18:53
have to be thoughtful about how we elect
01:18:54
and how we govern so that we create a
01:18:57
more balanced so what's the end game in
01:19:00
your framework my endgame is socialism I
01:19:03
think that's where things go ultimately
01:19:05
long term I think that there's a
01:19:06
recapturing and a redistribution of
01:19:08
power and value I think that there's
01:19:10
some degradation of the system that
01:19:12
erods to looking like something like
01:19:13
France it's not like a nasty and it's
01:19:16
like a a slow whimpering like you end up
01:19:18
looking like France or something and so
01:19:19
that's my my endgame in that framework
01:19:21
and I I I believe strongly is why we
01:19:23
talked about this with doo that there
01:19:25
are political actions decisions voting
01:19:28
mechanisms that that hopefully we can
01:19:29
put into place to stall out and to stop
01:19:32
that from happening uh because I do
01:19:34
think that human progress is critical
01:19:36
for the Min for the majority of people
01:19:38
that are disadvantaged and we need to
01:19:40
enable it okay so I'm guessing you're on
01:19:43
the I don't want to be France side 100%
01:19:46
that's right okay so and so what is the
01:19:49
I want to be the wild west I want to be
01:19:50
the 19th the the early 19th century what
01:19:53
do you think that we should do in
01:19:54
America right now I think we should
01:19:56
unwind a lot of laws and I think we
01:19:58
should have as a mandate the objective
01:20:01
is how do we get more of our economy and
01:20:03
more of our people in this country to
01:20:07
be supported by and progress through
01:20:10
Private Industry rather than public
01:20:12
support the federal government and the
01:20:14
role that the federal government has in
01:20:15
funding industry in hiring individuals
01:20:18
in pumping dollars into markets I think
01:20:22
has gotten so far beyond the tell that
01:20:25
we as we know are being sosed back and
01:20:28
forth based on the decisions being made
01:20:30
by the Federal Reserve that should have
01:20:31
never been the case the free market
01:20:33
should have always been allowed to
01:20:34
operate progress should have always been
01:20:36
allowed the government should have
01:20:37
stopped people from being hurt should
01:20:39
stop negative outcomes but the idea that
01:20:41
the government should come in and start
01:20:42
to run things and employ people and get
01:20:45
to the scale that it's gotten to this is
01:20:46
the largest organization in human
01:20:49
history the federal US federal
01:20:50
government it has got the highest dollar
01:20:52
spend the highest budget of any
01:20:54
organization in human history even
01:20:56
accounting for the Roman Empire there
01:20:57
should be accountability standards for
01:20:59
every law which is how do I know that
01:21:00
this thing did what it was supposed to
01:21:01
do and how do I measure if it didn't and
01:21:03
by the way if it doesn't and the dollars
01:21:04
aren't returned to me at some multiple
01:21:06
we shut that law down we shut that
01:21:08
department down we move on there should
01:21:10
be an accountability standard for every
01:21:11
dollar that's spent but we don't
01:21:13
describe any outcomes we don't say
01:21:15
here's the standard of measure and
01:21:17
here's the accountability and if this
01:21:18
doesn't work and this dollar isn't
01:21:21
return to us we don't end it anymore and
01:21:23
we don't keep doing this thing over and
01:21:24
over again and then layer something else
01:21:26
on top and layer something else on top
01:21:28
and then you've got 10 layers of nothing
01:21:29
accountable to anything and that thing
01:21:31
cost 10 times as much to do half as
01:21:34
much I am optimistic still I'm always an
01:21:37
optimist oh make sure you put in that
01:21:39
caveat good
01:21:41
yeah what's going right in your view I
01:21:44
feel like we just killed the last good
01:21:46
thing yeah what is going right in your
01:21:48
well the AI thing is what really pisses
01:21:50
me off man I mean this whole idea that
01:21:51
we're going to come in and tell people
01:21:52
how to run businesses I hear you go just
01:21:54
go back but do you think AI is going
01:21:56
well right
01:21:58
now we have nothing to really show for
01:22:00
it yet so it's hard to say that it's
01:22:02
it's cute and it's cool but there's
01:22:04
there's nothing really is AI I don't get
01:22:06
the term when I started my company I had
01:22:08
people that I called math people and
01:22:09
statisticians then it was called data
01:22:11
science then it was called Big Data then
01:22:13
it was called ml now it's called AI at
01:22:16
the end of the day it's software based
01:22:19
algorithms that use three things data
01:22:21
software and statistics and the
01:22:23
statistical tools and the approach to
01:22:24
the software algorithm development have
01:22:26
changed with the Transformer model that
01:22:28
was paper that was described but it's
01:22:30
the same thing we've been doing since
01:22:31
the 1960s which is creating packages of
01:22:34
software that make predictions and that
01:22:36
do things for us and all that's happened
01:22:38
in the last two years is we've seen a
01:22:40
piece of software that can communicate
01:22:42
well with us based on these llms and
01:22:44
we're like oh intelligence is here you
01:22:46
know the first time a computer in the
01:22:47
1960s said hello world everyone was like
01:22:50
oh my God we have ai now ai are sensient
01:22:52
it just said hello world well the same
01:22:55
thing happened when when big blue which
01:22:57
was that big IBM Mainframe beat Kasparov
01:22:59
in chess people are like oh my God AI is
01:23:02
just about here because at one time
01:23:05
being great at chess was considered to
01:23:07
be only a human capability and if a
01:23:10
computer could ever get that good the
01:23:13
theory was that it would have to be an
01:23:14
AI but we actually found out that
01:23:17
computers could do chess but that didn't
01:23:19
make them an AI it just meant that they
01:23:21
could acquire that one capability I
01:23:23
think kind of what you're saying is that
01:23:25
computers now thanks to language models
01:23:27
have some ability to interface with us
01:23:29
using language and to understand
01:23:31
Language by itself that is not
01:23:33
artificial intelligence in the way that
01:23:36
is portrayed in science fiction movies
01:23:37
there's two key things that are
01:23:38
happening one is a new a new modality in
01:23:41
human computer interaction through chat
01:23:43
which is incredible and opens up lots of
01:23:45
new software applications and markets
01:23:47
which I think can be transformative and
01:23:48
worth trillions of dollars no [ __ ]
01:23:50
doubt and then the other one is in
01:23:51
generative tooling where you can make
01:23:53
art and you can make video and audio and
01:23:55
all this other sort of stuff so you're
01:23:57
you're creating digital outputs that are
01:23:58
not necessarily text but other forms
01:24:01
that also start to represent the
01:24:03
expectation that you might otherwise
01:24:04
have and so that is really powerful and
01:24:07
opens up all these new models for media
01:24:09
content exploring new business models
01:24:11
Etc so both of those are really
01:24:13
important new software capabilities that
01:24:15
have emerged but this this notion that I
01:24:17
think people confuse AI as being this
01:24:19
like we've now got humans in software
01:24:21
that can do things
01:24:23
is almost like back in the0 when the
01:24:24
computer said hello world and they said
01:24:26
the same thing I think that what people
01:24:29
are OD by right now is that a computer's
01:24:32
ability to statistically guess has
01:24:35
gotten several orders of magnitude
01:24:37
better than it ever was before and so
01:24:39
these guesses seem human and lifelike
01:24:42
but you'll find the edge cases where
01:24:43
this stuff fails and we'll be asking
01:24:45
ourselves yet again in a few
01:24:47
years what the next leap is but the
01:24:51
thing that is different
01:24:53
is that there is a level of investment
01:24:56
multiplied and Nick I I tweeted this so
01:24:58
you can just show the math here there's
01:25:00
a level of investment multiplied by a
01:25:02
level of improvement in the underlying
01:25:04
Hardware multiplied by a level of
01:25:07
improvement in the underlying models
01:25:09
that's
01:25:11
creating a 400x improvement from the
01:25:14
Baseline every year and so the thing
01:25:18
that I think is different is that we are
01:25:20
taking this statistical guessing if you
01:25:23
want to just call it that and we're
01:25:26
getting exponentially good at it so
01:25:29
there is an efficient Frontier at which
01:25:31
point you're like oh my gosh this is as
01:25:33
good as certain humans you know maybe
01:25:36
not the smartest of the smart humans but
01:25:37
certain humans and I think that that's
01:25:39
what's really really crazy and intense
01:25:41
right now so I can understand why people
01:25:44
are like we need to get a handle on
01:25:47
this but it may kill the Golden Goose
01:25:51
although I would just say there is no
01:25:52
Golden Goose yet there's just a lot of
01:25:54
really interesting stuff that people can
01:25:56
say is novel and it's inspiring to see
01:26:01
but by no means has there been just a
01:26:02
proven use case that is 10x in
01:26:05
productivity yeah that hasn't happened
01:26:07
yet that's the reason to wait is this
01:26:09
whole thing just seems very premature
01:26:12
let the technology develop a little bit
01:26:14
let the problems become a little bit
01:26:15
clear more manifest let the Ws let the
01:26:17
cake bake let the cake bake let the
01:26:20
problems emerge in a way
01:26:22
instead of we're guessing about them we
01:26:24
can actually see them and also allow
01:26:27
there to be time for solutions to be
01:26:30
developed by the industry on its own and
01:26:34
we don't need KLA Harris's help or
01:26:35
guidance to do
01:26:38
that okay there you have it folks thank
01:26:41
you for joining us for another episode
01:26:43
of the Allin pod we hope that you walk
01:26:45
away with the utmost of optimism
01:26:47
enthusiasm for the world around us
01:26:49
there's awe and wonder outside go take a
01:26:52
walk and enjoy it there's so much more
01:26:54
than what is on Twitter I leave everyone
01:26:57
with blessings and love gentlemen
01:27:01
anything else final words David you
01:27:03
better [ __ ] be
01:27:05
there oh for poker yeah I will I will
01:27:08
I'm coming last week saxs RSVPs to poker
01:27:11
then texts he's supposed to be at dinner
01:27:13
at 7 o' texts at 7:30 I'm on my way
01:27:16
11:00 rolls around no saxs no idea what
01:27:19
happened to you you disappear into like
01:27:21
the a triangle of the Bay Area I don't
01:27:24
know where you go but you just disappear
01:27:27
he gets in an Uber he has him Park in
01:27:29
the airport and he just plays
01:27:32
chess gets out of the house all right
01:27:35
boys byebye byebye
01:27:38
byebye let your winners
01:27:41
ride Rainman
01:27:45
David and instead we open sourced it to
01:27:48
the fans and they've just gone crazy
01:27:49
with it love you queen of
01:27:52
[Music]
01:27:59
besties
01:28:01
are that's my dog taking your
01:28:06
driveways oh
01:28:08
man we should all just get a room and
01:28:11
just have one big huge orgy cuz they're
01:28:12
all this useless it's like this like
01:28:14
sexual tension that they just need to
01:28:17
release
01:28:19
your your your be that's going to we
01:28:23
need to get merch
01:28:27
[Music]
01:28:36
our

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  • WeWork's Financial Woes
    WeWork faces significant debt and restructuring challenges as it heads towards bankruptcy.
    “WeWork has been a capital destruction machine.”
    @ 42m 55s
    November 03, 2023
  • The Impact of AI Regulation
    The executive order on AI regulation raises concerns about its effectiveness and clarity.
    “AI has been convicted of a pre-crime.”
    @ 54m 01s
    November 03, 2023
  • Biden's AI Concerns
    Biden reportedly grew concerned about AI after watching a Mission Impossible movie featuring a sentient AI.
    “Did Biden really get worried about AI from a movie?”
    @ 57m 36s
    November 03, 2023
  • The Regulatory Chaos
    The government is creating a complex web of regulations that could burden tech companies.
    “We're headed for a Brussels-style bureaucracy.”
    @ 01h 00m 51s
    November 03, 2023
  • Shift in Political Donations
    Many Silicon Valley donors are pausing their contributions to the Democratic Party amid political shifts.
    “It's in the billions of dollars that's been paused.”
    @ 01h 11m 58s
    November 03, 2023
  • The Nature of Government
    Humans organize into social systems, with government being a key example.
    “I think humans organize into social systems.”
    @ 01h 15m 54s
    November 03, 2023
  • Letting Technology Develop
    Encouraging patience for technology to mature before rushing into regulation.
    “Let the cake bake.”
    @ 01h 26m 24s
    November 03, 2023

Episode Quotes

Key Moments

  • CEO Search00:55
  • Video Application04:17
  • Kronkite Moment11:39
  • Rate Cuts Ahead19:56
  • San Francisco's Dilemma38:09
  • AI Regulation Concerns54:01
  • Chaos Ahead1:03:48
  • Political Shift1:10:03

Words per Minute Over Time

Vibes Breakdown

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