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OpenAI's $150B conversion, Meta's AR glasses, Blue-collar boom, Risk of nuclear war

September 27, 2024 / 01:35:49

This episode discusses the recent changes at OpenAI, including the departure of key employees like Ilia Sutskever and Greg Brockman, and the company's shift from a nonprofit to a for-profit model. The hosts, including Chamath Palihapitiya, Jason Calacanis, and David Sacks, express their condolences for the losses in the AI community while also addressing the implications of OpenAI's new valuation of $150 billion and the potential for significant investor returns.

The conversation highlights the challenges and opportunities facing OpenAI as it transitions to a B Corp structure, allowing for profit while maintaining a mission-driven approach. The hosts debate the potential impact of this shift on the AI landscape, including competition from companies like Google and Meta, and the importance of maintaining a technological edge.

They also touch on Chamath's recent appearance on Joe Rogan's podcast, discussing the dynamics of long-form conversations in media. The episode concludes with a broader discussion on the future of AI, the evolving tech job market, and the societal implications of these changes.

TLDR

OpenAI's transition to for-profit raises concerns and opportunities amidst key employee departures and a $150 billion valuation.

Episode

1:35:49
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all right everybody uh let's get the show started here wait wait Jason why you wearing a tux what's going on there
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oh well it's time for a very emotional segment we do hear on the all-in podcast I just got to get myself
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composed for this H Jason are you okay I'm I'm gonna be okay I think it looks like you're fighting back at tier what's
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yeah this is always a tough one this year we tragically lost Giants in our industry these individuals bravely own
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their craft at open AI before departing Ilia sasver he left in he left us in [Music]
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May Yan Leica also left in May Sean shman tragically left us in August wait these are AI employees yes s
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left on Wednesday Bob mcru also left on Wednesday Too Short too short and Mera moradi also left us tragically on
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Wednesday we lost miror too yeah and Greg Brockman is on extended leave the enforcer he left too thank you for your
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service your memories will live on as training data and may your memories be a vesting let your winners
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ride Rainman David and instead we open source it to the fans and they've just gone crazy with it
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[Music] Queen my goodness all those losses wow that is three in one day three in one
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day my goodness I thought open AI was nothing without its [Laughter] people I well I mean this is a this is a
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great whoa we lost something come back wait oh wait what this is like the photo it's like
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the photo and Back to the Future wow they're just all gone wait oh no don't worry he's replacing everybody here we
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go he replacing with a g700 a Bugatti and I guess Sam's got mountains of cash so don't worry he's got a backup plan
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jamas anyway as an industry and as leaders in the industry the show sends its regards to Sam and the open AI team
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on their tragic losses and congratulations on the $150 billion doll value and you're 7%
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Sam now just cashed in10 billion apparently so congratulations to fan of uh friend of the Pod Sam amen is the
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round that's all reported out of some article right that's not like confirmed or anything is all of that done I mean
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it's reportedly allegedly that he's going to have 7% of the company and we can jump right into our first story I
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mean what I'm saying is has the money been wired and the docks been sign according to reports this round is
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contingent on not being a um nonprofit anymore and sorting that all out they have to remove the profit
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cap and do the seor there's some article that reported this right none of us Bloomberg it's not some article it was
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Bloomberg and and it got a lot of traction and it was re-reported by a lot of places and I don't see anyone
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disputing it so is mainstream media we trust the mainstream media in this case because think I think that when we could
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do a good bit yeah that's mine no I think that Bloomberg Bloomberg reported it based on obviously talks that are
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ongoing with investors who have committed to this round yeah and no one's disputing it has anyone said it's
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not true this has been speculated for months the $150 billion valuation raising something in the range of six
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to7 billion if you do the math on that and Bloomberg is correct that Sam mman got his 7% I guess the reality is you
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can't raise $6 billion dollar without probably meeting with a few dozen firms and some number of Junior people in
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those few dozen firms are having a conversation or two with reporters so you can kind of see how it gets out all
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right and before we get to our uh first story there about open AI congratulations to chamath let's pull up
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the photo here he was a featured guest on uh The Alex Jones Show no sorry I'm sorry uh that would be Joe Rogan
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congratulations on coming to Austin and being on Joe Rogan what was it like to do a three-hour podcast
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with Jo Rogan it's great I mean I loved it he's really awesome he's super cool it's good to do long form stuff like
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this so that I can actually talk clearly is the limitation of this podcast is the
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other three of us finally you have found a way to make it about yourself um I saw
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a comment somebody commented like oh wow it's like amazing to hear chth expand on
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topics about the constant eruptions by Jal also known as moderation someone called me someone called me Fran
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or Fran from the 70s Show I thought that was funny the the amount of trash talking in Rogan's YouTube comments it's
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next level it is it is it is the wild wildd west uh in in terms of the comment section on YouTube yeah um a bunch of
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comments asking Jak why do you call it Alex Jones is that cuz it's just a Texas short podcaster who short and stout and
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they look similar just a but I mean it looks like Alex Jones uh sort of lifting weights
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actually no they're both the same height and yeah both saw joean 25 years ago doing standup I have
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a photo with him at the club it was like a small Club in San Francisco and we hung out with him afterwards he was just
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like a nobody back in the day was like a stand-up guy right now he's uberstar well you have to go back
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pretty far for Joe Rogan to be a nobody I mean he had a TV show for a long time and two of them in fact
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comic for a while stand up comic yeah Fear Factor that's right that's also do Survivor or one of those like so I think
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and then the UFC I mean this guy's got four four blew up UFC yeah yeah well I mean I think he got the UFC out of Fear
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Factor and being a UFC fighter and a comedian and there's like a famous story where like Dana White was pursuing him
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and he was like I don't know and then Dana White's like I'll send a plane for you you can bring your friend he's like
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okay fine I'll do it he did it for free and then Dana White pursued him heavily to become the voice of the UFC and yeah
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obviously it's grown tremendously and it's you know worth billions of dollars okay so how is open AI worth 150 billion
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dollars can anyone app well why don't we get into the topic should we make the bull case and the bear case all right
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open AI as we were just joking in the opening segment is trying to convert into a for profit benefit Corporation
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that's a BC Corp it just means we'll explain bcorp later Sam wman is reportedly I thought they're converting
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to a C Corp no it's the same thing B Corp doesn't benefit Corporation is a cc Corporation variant that is not a
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nonprofit but the board of director Sachs is required not only to be a fiduciary for all shareholders but also
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for the stated mission of the company that's my understanding of a b Corp am I right freberg external stakeholders yeah
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so like the environment or Society or whatever but it from all other kind of legal tax factors it's the same as a CP
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and it's a way to I guess signal to investors the market employees that you care about something more than just
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profit so famous most famous borp I think is Toms is that the shoe company Toms that's a famous B Corp somebody
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will look it up here pagonia yeah that falls into that category so for profit with a mission Reuters has cited
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anonymous sources close to the company that the plan is still being hashed out with lawyers and shareholders and the
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timeline isn't certain but what's being discussed is that the uh nonprofit will continue to exist as a minority
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shareholder in the new company how much of a minority shareholder I guess is uh the devil's in
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the detail there do they own 1% or 49% the uh very much discussed freedberg 100x profit cap for investors will be
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removed that means investors like venod friend of the Pod and Reed Hoffman also friend
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of the Pod could see a 100x turn into a,x or more according to the Bloomberg report Sam waltman's going to get his
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Equity finally 7% that would put him at around 10.5 billion if this is all true and openi could be valued as high as
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$150 billion we'll get into all the shenanigans but let's start with your question freeberg and since you asked it
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I'm going to Boomerang it back to you make the bull case for $150 $150 billion valuation the bull case would be that
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the moat in the business with respect to model performance and infrastructure gets
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extended with the large amount of capital that they're raising they aggressively deploy it they are very
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strategic and tactical with respect to how they deploy that infrastructure to continue to improve
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model performance and as a result continue to extend their advantage in both consumer and Enterprise
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applications the API tools and so on that they offer and so they can maintain uh both kind of model and application
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performance leads that they have today across the board I would say like the the 01 model uh their voice application
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Sora has not been released publicly but if it does and it looks like what it's been demoed to be it's certainly ahead
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of the pack so there's a lot of uh aspects of of open AI today that kind of makes
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them a leader and if they can deploy infrastructure to maintain that lead and not let Google Microsoft Amazon and
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others catch up then their ability to use that Capital wisely keeps them ahead and ultimately as we all know there's a
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multi-trillion dollar market to capture here making lots of verticals lots of applications lots of products so they
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could become a a true kind of global player here plus the extension into Computing which I'm excited to talk
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about later when we get into this Computing stuff Sachs here's a chart of open A's Revenue growth
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that has been piec meal together from various sources at various times but you'll see here they are
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reportedly as of June of 2024 on a $3.4 billion run rate for this year after hitting two billion in 23 1.3 billion in
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October of 23 and then back in 2022 was reported they only had 28 million in Revenue so this a pretty pretty hot a
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pretty a pretty big shriek here in terms of Revenue growth I would put it at 50 times Topline Revenue 150 billion
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valuation you want to give us the bease maybe or the bull case well so the The Whisper numbers I heard was that their
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revenue run rate for this year was in the four to six billion range which is a little higher than that so you're right
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if it's really more like 3.4 this valuation is about 50 times current Revenue but if it's more like 5 billion
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then it's only 30 times and if it's growing % year-over-year it's only 15 times next year so depending what the
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numbers actually are the $150 billion valuation could be warranted I don't think 15
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times Ford ARR is a high valuation for a company that has this kind of strategic
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opportunity I think it all comes down to the durability of its comparative advantage
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here I think there's no question that open AI is the leader of the pack it has the most advanced AI model models it's
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got the best developer ecosystem the best apis it keeps rolling out new products and the question is just how
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durable that Advantage is is there really a moe to any of this for example meta just announced llama 3.2 which can
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do voice and this is roughly at the same time that open aai just released its voice API so the open source ecosystem
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is kind of hot on open ai's heels the large companies Google Microsoft so forth they're hot on their heels too
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although it seems like they're further behind where meta is and the question is just can open AI maintain its lead can
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it consolidate its lead can it develop some Moes if so it's on track to be the next trillion
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dollar big tech company but if not it could be eroded and you could see the value of open AI get get commoditized
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and we'll look back on it as kind of a cautionary tail okay chth do us a favor here if there is a be case what is it
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okay let's steeland the be case yes that's what I'm asking please so one would just be on
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the fundamental technology itself and I think the version of that story would go
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that the underlying Frameworks that people are using to make these models great is well
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described and available in open source on top of that there are at least two viable open source models that are as
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good or better at any point in time than open AI so what that would mean is that
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the value of those models the economic value basically goes to zero and it's a consumer
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surplus for the people that use it so that's very hard theoretically to monetize I think the second part of the
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case would be that specific Al meta becomes much more aggressive in inserting meta AI into all of the
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critical apps that they control because those apps really are the front door to billions of people on a daily basis so
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that would mean WhatsApp Instagram messenger the Facebook app and threads gets refactored in a way where instead
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of leaving that application to go to a chat GPT like app you would just stay in the
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app and then the companion to that would be that Google also does the same thing
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with their version in front of search so those two big front doors to the internet become much more aggressive in
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giving you a reason to not have to go to chat gbt because a their answers are just as good and B they're right there
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in a few less clicks for you yeah I'm so that would be the that would be the second
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piece the third piece is that all of these models basically run out of viable data to differentiate themselves and it
00:15:09
basically becomes a race around synthetic information and synthetic data which is a cost problem meaning if
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you're going to invent synthetic data you're going to have to spend money to do it and the large companies Facebook
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Microsoft Amazon Google Apple have effectively infinite money compared to any startup
00:15:30
and then the fourth which is the most quizzical one is what does the human capital thing tell you about what's
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going on it reads a little bit like a tel Nolla I have not in my time in Silicon Valley ever seen a company
00:15:46
that's supposedly on such a straight line to a rocket ship have so much highle churn and I've but and I've also never
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seen a company have this much liquidity and so how are people deciding to leave if they think it's going to be a
00:16:04
trillion dollar company and why when things are just starting to cook would you leave if you are technically
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enamored with what you're building so if you had to construct the barcase I think
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those would be the four things open source front door competition the move to synthetic data
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and all of the executive turnover would be sort of why you would say May maybe there's a fire where there's all this
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smoke okay I think this is very well put and I have been using chat GPT and Claude and Gemini
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exclusively I stopped using Google search and I also stopped Sachs asking people on my team to do stuff before I
00:16:48
asked chat GPT to do it specifically freeberg the 01 version and the 01 version is distinctly different have you
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gentlemen been using 01 like on a daily okay so we can have a really interesting
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conversation here I did something on my other podcast this week in startups that
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I'll show you right now that was crazy yesterday is a g is a game changer it's the first real it's the first real Chain
00:17:14
of Thought production system yes that I think we've seen are you using o1 preview or ow mini uh I am using o1
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preview now let me show you what I did here just just so the audience can level set here if you're not watching us go to
00:17:27
YouTube and type in in and and you can you can watch us we do video here so I was analyzing you know just some early
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stage uh deals and cap tables and I put in here hey a startup just raised some money at this valuation here's what the
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friends and family invested the accelerator the seed investor Etc in other words like the history the
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investment history in a company what 01 does distinctly differently than the previous versions and the previous
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version I felt was 3 to 6 months ahead of competitors this is a year ahead of competitor s and so here shth if you
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look it said it thought for 77 seconds and if you click the down arrow saxs what you'll see is it gives you an idea
00:18:09
of what its rationale is for interpreting and what secondary query is it's doing in order this is called Chain of
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Thought and this is the underlying Mega model that sits on top of the llms and the mega model effectively The Chain of
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Thought approach is the model asks itself the question how should I answer this question right and
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then it comes up with an answer and then it says now based on that what are the steps I should take to answer the
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question so the model keeps asking itself questions related to the structure of the question that you asked
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and then it comes up with a series of steps that it can then call the llm to do to fill in the blanks link them all
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together and come up with the answer it's the same way that a human train of thought works and it really is the the
00:19:00
kind of ultimate evolution of what a lot of people have said these systems need to become which is a much more call it
00:19:07
intuitive approach to answering questions rather than just predictive text based on the single statement you
00:19:13
made and it really has changing the game and everyone is going to chase this and
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follow this it is the new paradigm for for how these AI kind of systems will work and by the way what this did was
00:19:25
what prompt Engineers were doing or prompt engineering websites we're doing which was trying to help you construct
00:19:30
your question and so if you look to this one it says listing disparities I'll compile a cap table with Investments and
00:19:37
valuations building the cap table accessing the share valuation breaking down ownership breaking down ownership
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Etc evaluating the terms and then it checks its work a bit it waits investment options and you can see this
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is a this is fired off like two dozen different queries to as fre correctly pointed out you know build this chain
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and it got incredible answers explain the formulas so it's thinking about what your next question would be and this
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when I share this with my team it was like a super game Cher uh Sach you had some thoughts here well yeah I mean this
00:20:14
is pretty impressive and just to build on what freeberg was saying about Chain of Thought where this All Leads is to
00:20:20
agents where you can actually tell the AI to do work for you you give it an objective it can break the objective
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down into tasks and then it can work each of those tasks and open AI at a recent meeting with investors said that
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PhD level reasoning was next on its road map and then agents weren't far behind that they've now released the at least
00:20:43
the preview of the PHD level reasoning with this 01 model so I think we can expect an announcement pretty soon about
00:20:49
agents yeah and so the and if you think about if you think about business value you know we think a lot about this is
00:20:55
like where's the SAS opportunity and all this the soft off as a service opportunity it's going to be an agents I
00:21:02
think we'll ultimately look back on these sort of chat models as a little bit of a parlor trick compared to what
00:21:08
agents are going to do in the workplace if you've ever been to a call center or an operations center they're also called
00:21:15
service factories it's assembly lines of people doing very complicated knowledge
00:21:21
work but ultimately you can unravel exactly what the chain is there The Chain of Thought that goes into their
00:21:28
decisions it's it's very complicated and that's why you have to have humans doing
00:21:32
it but you could imagine that once system integrators or or Enterprise SAS apps go into these places go into these
00:21:42
companies they integrate the data and then they map out the workflow you could replace a lot of these steps in the
00:21:49
workflow with agents yeah by the way it's not just it's not just call centers I had a conversation with um I'm on the
00:21:56
board of a company with the CEO the other day and he was like well we're going to hire an analyst that's going to
00:22:01
sit between our kind of retail sales operations and do the and you know figure out what's working to drive
00:22:07
marketing decisions and I'm like no you're not like I I really think that that would be a mistake because today
00:22:13
you can use 01 and describe or just feed it the data and describe the analysis you want to get out of that data and
00:22:21
within a few minutes and I've now done this probably a dozen times in the last week with different projects internally
00:22:26
at my company it gives you the enre answer that an analyst would have taken days to put together for you and if you
00:22:32
think about what an analyst's job has been historically is they take data and then they manipulate it and the big
00:22:38
evolution in software over the last decade and a half has been tools that give that analyst leverage to do that
00:22:45
data manipulation more quickly like Tableau and you know R and all sorts of different toolkits that are out there
00:22:51
but now you don't even need the analyst because the analyst is the Chain of Thought it's the prompting from the
00:22:57
model and it's completely going to change how knowledge work is done everyone that owns a function no longer
00:23:03
needs an analyst the analyst is the model that's sitting on the computer in front of you right now and you tell it
00:23:08
what you want and not days later but minutes later you get your answer it's completely revolutionary in um uh ad hoc
00:23:18
uh knowledge work as well as kind of this repetitive structured knowledge this is such a good point freeberg the
00:23:23
ad hoc piece of it when we're processing 20,000 applications for funding a year we do a 100 plus meetings a week the
00:23:30
analysts on our team are now putting in the transcripts um and key questions about markets and they are getting so
00:23:38
smart so fast that you know when somebody comes to them with a Marketplace in diamonds their
00:23:45
understanding of the diamond Marketplace becomes so rich so fast that we can evaluate companies faster then we're
00:23:52
also seeing uh chth uh before we call our lawyers when we have a legal question about a document we start
00:23:58
putting in you know let's say the the standard note template or the standard safe template we put in the new one and
00:24:05
there's a really cool project by Google called notebook L LM where you can put in multiple documents and you can start
00:24:11
asking questions so imagine you take every single legal documents acts that Yammer had when you had chamath as an
00:24:18
investor I'm not sure if he was on the board and you can start asking questions about the documents and we have had
00:24:24
people make changes to these documents and it immediately finds them explains them and so everybody's just getting so
00:24:30
goddamn smart so fast using these tools that I insisted that every person on the
00:24:35
team when they hit control tab it opens a chat gp4 window in 01 and we burned out our credits immediately like it
00:24:43
stopped us it said you're you're you have to stop using it for the rest of the month Cham your thoughts on this
00:24:48
we're seeing it in real time in 890 what I'll tell you is what sck said is totally right there's so
00:24:58
many companies that have very complicated processes that are a combination of well- Tred and well-meaning people
00:25:08
and bad software and what I mean by bad software is that some other third party came in listened to what your business
00:25:19
process was and then wrote this clunky deterministic code usually on top of some system of
00:25:24
record charged you tens or hundreds of millions of for it and then left and will support it only if you keep paying
00:25:31
them millions of dollars a year that whole thing is so nuts because the ability for people to do work I think
00:25:37
has been very much constrained and it's constrained by people trying to do the right thing
00:25:42
using really really terrible software and all of that will go away the radical idea that I would put out there is I
00:25:50
think that systems of record no longer exist because they don't need to and the reason is because all you
00:25:57
have is data and you have a and just explain to people what system of record is just so so inside of a company you'll
00:26:04
have a handful of systems that people would say are the single source of truth they're the things
00:26:09
that are used for reporting compliance and example would be for your general ledger so toet record your revenues You'
00:26:21
use Nets or you'd use Oracle GL or you'd use workday financials then you'd have a
00:26:27
different system of record for all of your Revenue generating activities so who are all of the people you sell to
00:26:34
how are sales going what is the PIP there's companies like Salesforce or Sugar CRM then there's a system of
00:26:42
record for all the employees that work for you all the benefits they have what is their salary this is hris so the
00:26:48
point is that the software economy over the last 20 years and this is trillions of dollars of market cap and hundreds of
00:26:57
billions of Revenue you have been built on this premise that we will create this
00:27:03
system of record you will build apps on top of the system of record and the knowledge workers will come in and
00:27:10
that's how they will get work done and I think that saaks is right this totally flips that on its head instead what will
00:27:16
happen is people will provision an agent and roughly direct what they want the outcome to be and they'll be process
00:27:24
independent they won't care how they do it they just want the answer so I think two things happen the obvious thing that
00:27:31
happens in that world is systems of record lose a grip on the Vault that they had in terms
00:27:40
of the data that runs a company you don't necessarily need it with in the same Reliance and Primacy that you did
00:27:47
five and 10 years ago that'll have an impact to the software economy and the second thing that I
00:27:54
think is even more important than that is that then the omic size of companies changes because each company will get
00:28:03
much more leverage from using software and few people versus lots of people with a few pieces of software and so
00:28:09
that inversion I think creates tremendous potential for operating leverage all right your thought Sachs
00:28:15
you operate in the SAS space uh with system of records and investing in these type of companies give us your take well
00:28:22
it's interesting we were having a version of this conversation last week on the Pod and I started getting texts
00:28:28
from Ben off as he was listening to it and then oh he he called me and I think he got a little bit triggered by the
00:28:34
idea that systems of record like Salesforce are going to be obsolete in this new AI era and he made a very
00:28:41
compelling case to me about why that wouldn't happen which is yeah well first of all I think AI models are predictive
00:28:48
I mean at the end of the day they're predicting the next set of texts and so forth and when it comes to like your
00:28:53
employee list or your customer list you just want to have a source of Truth you want it to be 98% accurate you just want
00:29:00
it to be 100% accurate you want to know if the federal government asks you for the tax ID numbers of your employees you
00:29:06
just won't be able to give it to them if Wall Street analysts asks you for your customer list and what the Gap revenue
00:29:11
is you just won't be able to provide that you don't want AI models figuring it out so you're still going to need a
00:29:16
system of record furthermore he made the point that you still need databases you still need
00:29:23
Enterprise security if you're dealing with Enterprises you still need compliance you still need sharing models
00:29:28
there's all these aspect all these things that have been built on top of the database that SAS company's been
00:29:33
doing for 25 years and then the final point that I think is compelling is that Enterprise customers don't want to DIY
00:29:41
it right they don't want to have to figure out how to put this together and you can't just hand them an llm and say
00:29:47
here you go there's a lot of work that is needed in order to make these models productive and so at a minimum you're
00:29:56
going to need system integrators and Consultants to come in there connect hold on just connect all the Enterprise
00:30:02
data to these models map the workflows you have to do that now how's that different from how this this clunky
00:30:09
software is sold today I mean look I I don't want to take away from the quality of the company that Mark has built and
00:30:17
what he's done for the cloud economy so let's just put that aside but I wish this is what we could have actually all
00:30:22
been on stage and talked about I told him that when he was at the summit I said that because I agree with basically
00:30:29
every premise of those three things number one systems integrators exist today to build apps on top of these
00:30:34
things why do you think you have companies like Viva how can a 20 billion dollar plus company get built on top of
00:30:40
Salesforce it's because it doesn't do what it's meant to do that's why app stores are a great way to allow
00:30:50
people to build on your platform and and and cover those Niche cases the point I'm trying to make is that's no
00:30:55
different than the economy that exists today is just going to transform to different groups of people number one
00:30:59
well by the way he said he's willing to come on the PO and talk about this very issue but just with
00:31:05
you talk all us now great he'll come on the Pod and discuss whether AI makes sass obsolete a lot of people are asking
00:31:12
that question let's talk about it next year at the summit can you talk about his uh philanthropy first okay let's get
00:31:18
back to focus here let's get focused everybody love you mark who's coming to dream for us raise your hand I want to
00:31:26
make another point the second point is that when you have agents I think that we are overestimating what a system of
00:31:33
record did David what you talked about is actually just an encrypted file or it's a bunch of rows in some database or
00:31:39
it's in some data Lake somewhere you don't need to spend tens or hundreds of millions of dollars to wrap your Revenue
00:31:49
in something that says it's a system of record you don't need that actually you can just pipe that stuff directly from
00:31:56
stripe into Snowflake and you can just transform it and do what you will with it and then report it I'll tell you
00:32:02
could do that today it's just that that's an interesting point through stake dinners and golf outings and all
00:32:07
this stuff we've sold Ci's this idea that you need to wrap it in something called a system of record and all I'm
00:32:15
saying is when you confront the total cost of that versus what the alternative that is clearly going to happen in the
00:32:23
next 5 or 10 years irrespective of whether any of us Build It or Not it'll be not be able to you just won't be able
00:32:29
to justify it I'll say there's there's probably also an aspect of this that we can't
00:32:37
predict what is going to work with respect to data structure so right now all of um all of the the tooling for AI
00:32:45
is on the front end and we haven't yet Unleashed AI on the back end which is if you told the AI here's all the data
00:32:52
ingest I'm going to be doing from all these different points in my business figure out what you want to do with all
00:32:58
that data the AI will eventually come up with its own data structure and data system nothing that will look nothing
00:33:07
like that's already happening right and so that's nothing like what we have today in the same vein that we don't
00:33:13
understand how the translation Works in a in an in an llm we don't understand how a lot of the function works a lot of
00:33:18
the data structure and data architecture we won't understand clearly because it's
00:33:21
going to be opusc by the model driving the the development there are open source agentic Frameworks that already
00:33:27
do freeberg what you're saying that so it's not true that it's not been done it's already sure so maybe it's being
00:33:33
done right that's it hasn't been fully implemented to replace this record there are companies I'll give you an example
00:33:39
of one like mechanical Orchard they'll go into the most gnarliest of environments and what they will do is
00:33:45
they will launch these agents that observe it's sort of what I told you guys before the io stream of these apps
00:33:51
and then reconstruct everything in the middle automatically I don't understand why
00:33:58
we think that there's a world where customer quality and NPS would not go Skyhigh for a company that has some old
00:34:05
Legacy forr system and now they can just pay you know mechanical Orchard a few million bucks and they'll just replace
00:34:11
it in a matter of months it's G to happen right yeah that's the very interesting piece for me is I'm you know
00:34:17
watching startups you know working on this the AI first ones I think are going to come to it with a totally different
00:34:24
cost structure the idea of paying for seats and I mean some of the these seats are 5,000 per person year you nailed it
00:34:31
a year ago when you were like oh you mentioned some company that had like flat pricing at first by the way when
00:34:37
you said that I thought this is nuts but you're right it actually makes a ton of
00:34:42
sense because if you have a fixed group of people who can use this tooling to basically effectively be as productive
00:34:51
as a company that's 10 times as big as you you can afford to Flat price your software because you can just work
00:34:58
backwards from what margin structure you want and it's still meaningfully cheaper
00:35:02
than any other alternative a a lot of startups now are doing consumption based pricing so they're saying you know how
00:35:09
many um how many sales calls are you doing how many are we analyzing as opposed to how many sales Executives do
00:35:16
you have because when you have agents as we're talking about those agents are going to do a lot of the work so we're
00:35:23
going to see the number of people working at companies become fixed and I think the St team size that we're seeing
00:35:30
at a lot of large companies is only going to continue it's going to be down and to the right and if you think you're
00:35:35
going to get a high-paying job at a big tech company and you have to beat the agent you're going to have to beat the
00:35:41
Maestro who has five agents working for them I think this is going to be a completely different world uh Cham this
00:35:48
I I want to get back to openi with a couple other pieces so let's wrap this up get
00:35:53
next last word for you last word so look look I I think that on the whole I agree
00:36:00
with Benny off here that there's more net new opportunity for AI companies whether they be startups or you know
00:36:07
existing big companies like Salesforce that are trying to do AI then there is disruption I think there will be some
00:36:13
disruption it's very hard for us to see exactly what AI is going to look like in
00:36:17
five or 10 years so I don't want to Discount the possibility that ex there will be some disruption of existing
00:36:23
players but I think on the whole there's more net new opportunity for example the
00:36:27
most highly valued public software company right now in terms of AR multiple is paler and I think that's
00:36:35
largely because the market perceives paler is having a big AI opportunity what is Pal's approach the first thing
00:36:41
paler does when they go into a customer is they integrate with all of its systems and they're dealing with the
00:36:47
largest Enterprises they're dealing with the government the Pentagon Department of Defense the first thing they do is go
00:36:52
in and integrate with all of these Legacy systems and they collect all of the data in one place they call it
00:37:00
creating a digital twin and once all the data is in one place with the right permissions and safeguards now analysts
00:37:07
can start working it and that was their historical value proposition but in addition AI can now start working that
00:37:13
problem so anything that the analyst could work now ai is going to be able to work and so they're in an ideal position
00:37:19
to master these new AI workflows so what is the point I'm making it's just that you can't just throw an llm at these
00:37:26
large enter Rises you have to go in there and integrate with the existing systems it's not about ripping out the
00:37:32
existing systems because that's just a lot of headaches that nobody needs it's generally an easier approach just to
00:37:38
collect except when the renewal comes what happens when you have to you know billion on something yeah and then
00:37:45
you're going to renegotiate or you're going to spend a billion dollars again five years from now it just doesn't seem
00:37:49
very likely there's going to be a lot of Hardcore negotiations going on shama people are going to ask for 20% off 50%
00:37:55
off and people going to be more competitive that's all I Su I suspect palun go to market when they start to
00:38:01
release scale they'll be able to underprice a bunch of these other Alternatives and it so I think
00:38:07
that when you look at the impacts and pricing that all of these open source and close Source model
00:38:17
companies have now introduced in terms to the price per token what we've seen is just a massive step function lower
00:38:25
right so it is incredible deflationary so the things that sit on top are going to get priced as a
00:38:33
function of that of that cost which means it will be an order of magnitude cheaper than the stuff that it replaces
00:38:39
which means that a company would almost have to purposely want to keep paying tens of millions of dollars when they
00:38:47
don't have to they would need to make that as an explicit decision and I think that very few companies will be in a
00:38:54
position to be that Cavalier in 5 and 10 10 years so you're either going to rebase the revenues of a bunch of these
00:39:03
existing deterministic companies or you're going to create an entire economy of new ones that have a fraction of the
00:39:09
revenues today but a very different profitability profile I I think whenever you're dealing with a whenever you're
00:39:16
dealing with A disruption as big as this current one I think it's always tempting
00:39:21
to think in terms of the existing Pi getting disrupted and and shrunk as oppos to the pie getting so big with new
00:39:29
use cases that on the whole the ecosystem benefits no no no I agree with that I suspect That's What's happen no I
00:39:37
I I agree with that my my only point is that the pie can get bigger while the slices get much much
00:39:44
smaller well I mean I right between the two of you I think is um the truth because what's happening is if you look
00:39:52
at investing it's very hard to get into these late stage companies because they don't need as much Capital because to
00:39:58
your point shth they when they do hit profitability with 10 or 20 people the revenue per employee is going way up if
00:40:07
you look at Google Uber Airbnb and Facebook meta they have the same number or less employees and they did three
00:40:14
years ago but they're all growing in that 20 to 30% a year which means in but two to three years each of those
00:40:21
companies has doubled Revenue per employee so that concept of more efficiency and then that trickles down
00:40:28
Sachs to the startup investing space where you and I are I'm a preed seed investor you're a seed series a investor
00:40:34
if you don't get in in those three four rounds I think it's going to be really expensive and the companies are not
00:40:38
going to need as much money Downstream speaking of of investing in late stage companies we never Clos the loop on the
00:40:45
whole open AI thing what did we think of the fact that they're completely changing the structure of this company
00:40:52
they're changing it into a corporation from the nonprofit and Sam's now getting it 101
00:40:57
billion stock package he's not in for the money he has health insurance sex but we never never Congress I don't
00:41:06
need money enough money I just needed the health insurance pull the clip up Nick pull the clip up I mean it's the
00:41:11
funniest clip ever C no they said Congress watch this this what in Congress you make a lot of money do you
00:41:21
I make no I paid enough for health insurance I have no equity and open AI really that's interesting you need a
00:41:26
large I need a what you need a lawyer or an agent I I'm doing this cuz I love it thank you it's the greatest look at
00:41:36
me don't believe him I this can I ask you a question there saxs are you doing this Venture Capital where you put the
00:41:44
money in the startups cuz you love it or cuz you're looking to get another Home In a Coal City and put more jet fuel in
00:41:53
that plane I need an answer for the people of the sovereign state of Mississippi no Louisiana that's John
00:41:59
Kennedy from louisi he's a very smart guy actually with a lot of you know sort of common
00:42:07
folk wisdom he got that simple talk simple talk we Shooters here actually yeah he's very funny but
00:42:16
he's very funny if you listen to him he knows how to slice and dice you might need to get yourself uh one of them
00:42:23
fancy Agents from Hollywood or an attorney from the Wilson Sun cini Corporation to renegotiate your contract
00:42:31
son because you're worth a lot more from what I can gather in your performance today than just some simple healthare
00:42:37
and uh I hope you took the Blue Cross Blue Shield I would like to make two semi-serious observations let's go you
00:42:44
please get us back on track I think the first is that there's going to be a lot of people that are looking at the
00:42:49
architecture of this conversion because if it passes muster everybody should do it think about this model let's just
00:42:57
that you're in a market and you start as a nonprofit what that really means is you
00:43:02
pay no income tax so for a long time you put out a little bit of the percentage of whatever you
00:43:11
earn but you can now outspend and outco compete all of your competitors and then
00:43:17
once you win you flip to a corporation that's a great hack on the tax code and you let the donators get first bite of
00:43:26
the Apple if you do convert because remember venod and Hoffman got all their shares on the conversion the other way
00:43:33
will also work as well because it's there's no there's nothing that says you can't go in the other direction so let's
00:43:38
assume that you're already a for-profit company but you're in a space with a bunch of competitors can't you just do
00:43:45
this conversion in Reverse become a nonprofit again you pay no income tax so now you are economically advantaged
00:43:54
relative to your competitors and then when they wither and die or you can outspend them you flip back to a
00:44:01
for-profit again I think the the point is that there's a lot of people that are going to watch this closely
00:44:10
and if it's legal and it's allowed I I just don't understand why everybody wouldn't do this yeah I mean that was
00:44:17
elon's Point as well and I mean the second thing which is just more of like cultural observation is and you
00:44:26
brought up Elon my comment to you guys yesterday and I'll just make the comment today
00:44:31
it's a little bit disheartening to see a situation where Elon built something absolutely incredible defied every
00:44:40
expectation and then had the justice system take $ 55 billion away from him his payment package you're referring to
00:44:50
at payment package the options in Tesla and then on the other side Sam's going to pull some like this
00:44:58
off definitely pushing the boundaries and he's going to make 10 billion and I just think when you put those two things
00:45:06
in contrast that's not how the system should probably work I think is what most people would say freeberg you've
00:45:13
been a little quiet here any thoughts on the transaction the nonprofit to for-profit if you were looking at that
00:45:19
in what you're doing do you see a way that ohal could take a nonprofit status raise a bunch of money through donations
00:45:27
for virtuous work then license those patents to your for-profit it would that be advantageous to you and and do you
00:45:33
think this could become absolutely zero idea I have no idea what they're doing I
00:45:38
don't know how they're converting a nonprofit to a for-profit none of us have the details on this there's there
00:45:42
may be significant tax implications payments they need to make I don't think any of us know I certainly don't I don't
00:45:48
know if there's actually a real benefit here if there is I'm sure everyone would
00:45:52
do it no one's doing it so there's probably a reason why it's difficult I don't know been done a couple times the
00:45:58
the Mozilla Foundation did it we talked about that in our previous episode Saks you want to you want to wrap us up here
00:46:02
on the corporate structure any final thoughts I mean Elon put in 50 million I think he gets the same as Sam don't you
00:46:09
think he should just chip off 7% for Elon and not that Elon needs the money where he's asking but I'm just wondering
00:46:15
why Elon doesn't get the 7% and get or you know if put in 50 did he put in $50 million he put in 50 million is the
00:46:23
report right in the nonprofit yeah Hoffman put in 10 look I said on a previous show that this organizational
00:46:30
chart of open AI was ridiculously complicated and they should go clean it up they should open up the books and
00:46:35
straighten everyone out and I also said that as part of that they could give Sam
00:46:40
Alman a CEO option Grant and they should also give Elon some Fair compensation for being the seed investor who put in
00:46:47
the first $50 million and co-founder and what you're seeing is well they're kind
00:46:52
of doing that they're opening up the books they're straightening out the corporate stru
00:46:57
they're giving Sam his option Grant but they didn't do anything for Elon and I'm
00:47:02
not saying this as elon's friend I'm just saying that it's not really fair to basically go fix the original situation
00:47:10
you're making it into a for-profit you're giving everyone shares but the guy who puts in the Original Seed Capal
00:47:16
doesn't get anything that's ridiculous and you know what they're basically saying to Elon is if you don't like it
00:47:23
just sue us I mean that's basically what they're doing and I said that they should go clean this up but they should
00:47:30
make it right with everybody so how do you not make it right with Elon I haven't talked him about this but he
00:47:36
reacted on X saying this is really wrong it appeared to be a surprise to him I doubt he knew this was coming so the
00:47:42
company apparently made no effort to make things right with him and I think that that is a bit ridiculous if you're
00:47:50
going to clean this up if you're going to change the original purpose of this organization to being a standard
00:47:57
for-profit company where the CEO who previously said he wasn't going to get any compensation is now getting 10
00:48:04
billion of compensation how do you do that and then not clean it up for the co-founder who put in the first $50
00:48:10
million yeah that doesn't make sense to me and you know when Reed was on our pod
00:48:14
he he said well elon's Rich enough well that that's not a principled excuse I mean does venod ever act that way does
00:48:21
Reed ever act that way do they ever say well you know you don't need to do what's fair for me because I'm already
00:48:27
rich that's that's not a principled answer the argument that I heard was that Elon was given the opportunity to
00:48:33
invest along with Reed with VOD and he he declined to participate in the for-profit investing side that everyone
00:48:41
else participated we made that argument and I think it's the best argument the company has but let's think about that
00:48:46
argument maybe Elon was busy that week maybe Elon already felt like he had put all the money that he had allocated for
00:48:53
something like this into it because he put in a $50 million check whereas reput in 10 we don't know what Elon was
00:49:00
thinking at that time maybe there was a crisis at Tesla and he was just really busy the point is Elon shouldn't have
00:49:05
been obligated to put in more money into this Venture the fact of the matter is they're refactoring the whole Venture
00:49:13
Elon had an expectation when he put in the 50 million that this would be a nonprofit and stay a nonprofit and
00:49:19
they're changing that and if they change it they have to make things right with him it doesn't really matter whether he
00:49:24
had a a subsequent opportunity to to invest he wasn't obligated to to make that investment what he had an
00:49:31
expectation of is that his $50 million to be used for a philanthropic purpose and clearly it has not been yeah and In
00:49:39
fairness to a node he bought that incredible beachfront property and donated it to the public trust so we can
00:49:43
all Surf and have our Halloween party there so it's all good thank you venod for giving us that incredible Beach I
00:49:50
want to talk to you guys about interfaces that came up chth in your headwinds or your your your four pack of
00:49:56
reasons that you know open AI when you steal men the barcase could have challenges obviously we're seeing that
00:50:04
and it is emerging that meta is working on some AR glasses that are really impressive additionally I've installed
00:50:13
iOS 18 which is Apple intelligence that works on 15 phones and 16 phones 18 is the iOS did any of you installed the
00:50:21
beta of iOS 18 yet and use Siri it's pretty clear with this new one that you're going to be able to talk to Siri
00:50:27
as an llm like you do in chat GPT mode which I think means they will not make themselves dependent on chat GPT and
00:50:34
they will siphon off half the searches that would have gone to chat GPT so I see that as a serious sir is not very
00:50:40
good J kll and you know this because when you were driving me to the airport yesterday we tested it it didn't work
00:50:45
yes you tried you try he tried to he tries to execute this joke where he's like hey Siri sent choth poly haaa a
00:50:52
message and it was a very off-color message I'm not gonna say what it is was a spicy joke and then it's like okay
00:50:57
great sending Linda blah blah blah he like no stop like no don't send that joke to her it hallucinates it almost
00:51:04
sends it to some other you know some woman in his contact would have been really damaging it's not very good Jason
00:51:10
it's not very good well but what I will say is there are features of it where if
00:51:14
you squint a little bit you will see that Siri is going to be conversational so when I was talking to it with music
00:51:22
and you know you you can have a conversation with it and do math like you can do with cat GPT version and you
00:51:28
have Microsoft doing that with their co-pilot and now met is doing it at the top of each one so everybody's going to
00:51:35
try to inter intercept the queries and the voice interface so chat gp4 is now up against meta Siri Apple and Microsoft
00:51:44
for for that interface it's going to be challenging but let's talk about these meta glasses here meta showed off the AR
00:51:50
glasses that Nick will pull up right now these aren't goggles goggles look like ski goggles that that's what apple is
00:51:57
doing with their Vision Pro uh or when you see the meta Quest you know how those work those are VR with cameras
00:52:05
that will create a version of the world these are actual chunky sunglasses like the ones I was wearing earlier when I
00:52:11
was doing the bit so these let you operate in the real world and are supposedly extremely expensive they made
00:52:20
a thousand prototypes they were lending a bunch of influencers and folks like um
00:52:26
Gary vanderchuck uh use them and they're not ready for prime time but the way they work freeberg is there's a
00:52:32
wristband that will track your fingers and your wrist movement so you could be in a conversation like we are here on
00:52:38
the Pod and below the desk you could be you know moving your arm and hand around
00:52:42
to be doing replies to I don't know incoming messages or whatever it is what do you think of this AR vision of the
00:52:49
world and meta making this progress well I think it ties in a lot to the the AI discussion because I I think we're
00:52:58
really witnessing this big shift from and this big transition in Computing probably the biggest transition since
00:53:05
mobile you know we moved from Main frames to desktop computers everyone had kind of this computer on their desktop
00:53:12
but used a mouse and a keyboard to control it to mobile where you had a keyboard and clicking and touching on
00:53:17
the screen to do things on it and now to what I would call this kind of ambient Computing method and you know I think
00:53:25
the big difference is control and response in directed Computing you're kind of telling the computer what to do
00:53:32
you're controlling it you're using your mouse or your keyboard to to go to this website so you type in a website address
00:53:38
then you click on the thing that you want to click on and you kind of keep doing a series of work to get the
00:53:43
computer to go access the information that you ultimately want to achieve your objective but with ambient Computing you
00:53:50
can more kind of cleanly state your objective without this kind of directive process you can say hey I I want to say
00:53:57
I want to have dinner in New York next Thursday at the at a Michelin star restaurant at 5:30 book me something and
00:54:02
it's done and I think that there are kind of five core things that are needed for this to work um both in control and
00:54:09
response it's voice control gesture control and eye control are kind of the control pieces that replace you know
00:54:16
mice and clicking and touching and keyboards and then response is audio and kind of integrated visual which is the
00:54:23
idea of the goggles voice control works have you guys used the open AI voice control system lately I mean it is
00:54:29
really incredible I had my earphones in and I was like doing this exercise I was
00:54:33
trying to learn something so I told open AI to start quizzing me on this thing and I just did a 30 minute walk and
00:54:39
while I was walking it was asking me quiz questions and I would answer it tell me I was right or wrong it was
00:54:43
really this incredible dialogue experience so I think the voice control is there I don't know if you guys have
00:54:48
used Apple Vision Pro but gesture control is here today you can do single finger movements with apple Vision Pro
00:54:54
it triggers actions and I control is incredible you look at the letters you want to have kind of spelled out or you
00:54:59
look at the thing you want to activate and it does it so all of the control systems for this ambient Computing are
00:55:04
there and then the AI enables this kind of audio response where it speaks to you
00:55:09
and the big breakthrough that's needed that I don't think we're quite there yet but maybe Zuck is highlighting that
00:55:14
we're almost there and apple Vision Pro feels like it's almost there except it's
00:55:17
big and bulky and expensive is integrated visual where the ambient visual interface is always there and you
00:55:23
can kind of engage with it so there's this big change I don't think that mobile handsets are going to be around
00:55:27
in 10 years I don't think we're going to have this like phone in our pocket that
00:55:30
we're like pressing buttons on and touching and telling it where on the browser to go to the browser interface
00:55:36
is going to go away I think so much of how Computing is done how much how we integrate with data in the world and how
00:55:42
the computer ultimately fetches that data and does stuff with it for us is going to completely change to this
00:55:47
ambient model so I'm um I'm pretty excited about this Evolution but I think that what we're seeing with Zuck what we
00:55:53
saw with apple Vision Pro and all of the open AI demos they all kind of converge
00:55:58
on this very incredible shift in Computing um that will kind of become this ambient system that exists
00:56:04
everywhere all the time and I know folks have kind of mentioned this in the past
00:56:07
but I think we're really seeing it kind of all come together now with these five
00:56:10
key things jamath any thoughts on Facebook's progress with ar and how that might
00:56:20
impact Computing and interfaces when paired with language models I think think David's right that there's
00:56:28
something that's going to be totally new and unexpected so I agree with that part of
00:56:36
what free Brook says I am still not sure that glasses are the perfect form factor
00:56:42
to be ubiquitous when you look at a phone a phone makes complete sense for literally everybody right man woman old
00:56:54
young every race every country of the world it's such a ubiquitously obvious form
00:57:06
factor but the thing is like that initial form factor was so different than what it replaced even if you looked
00:57:13
at like flip phones versus that first generation iPhone so I I do think freeberg you're right that there's like
00:57:20
this new way of interacting that is ready to explode onto the scene and I think that these guys have done a
00:57:29
really good job with these classes I mean like I give them a lot of credit for sticking with it and iterating
00:57:34
through it and getting it to this place it looks meaningfully better than the Vision Pro to be totally
00:57:40
honest but I'm still not convinced that we've explored the best of our creativity in terms of the devices that
00:57:47
we want to use with these AI models you need some visual interface I think the question is where is the visual
00:57:52
interface is it in the is in in the wall but do I mean well when you're asking like I want to watch chamath on Rogan
00:57:59
like I don't just want to hear I want to see like when I want to visualize stuff
00:58:03
I want to visualize it I want to look at the food I'm buying online I want to look at pictures of the restaurant I'm
00:58:08
GNA go to but how much of that time when you say those things are you not near some screen that you can just project
00:58:15
and broadcast that on I Me Maybe the model if the use case is I'm walking in the park and I need to watch TV at the
00:58:22
same time I don't think that's a real use case I I think you're on this one wrong WR shth because I saw this
00:58:29
revolution in Japan maybe 20 years ago they got obsessed with augmented reality there were a ton of startups right as
00:58:36
they started getting into the mobile phones and the use cases were really very compelling and we're starting to
00:58:41
see them now in education and when you're at dinner with a bunch of friends how often does picking up your phone and
00:58:49
you know looking at a message disturb the flow well people will have glasses on they'll be going for walks they'll be
00:58:54
driving they'll be at a dinner party they'll be with their kids and you'll have something on like Focus mode you
00:58:59
know whatever the equivalent is in apple and a message will come in from your spouse or from your child but you won't
00:59:05
have to take your phone out of your pocket and I think once these things weigh a lot less you're going to have
00:59:10
four different ways to interact with your computer in your pocket your phone your watch your airpods whatever you
00:59:16
have in your ears and the glasses and I bet you glasses are going to take like a
00:59:19
third of the tasks you do I mean what is the point of taking out your phone and watching The Uber come to you but seeing
00:59:25
that little strip that tells you the Uber is 20 minutes away 15 minutes away or what the gate number is I don't have
00:59:31
that anxiety well I don't know if it's anxiety but I just think it's ease of use all those 15 minutes 10 minutes
00:59:37
that's that's the definition I think it adds up I think it taking your phone out
00:59:40
of your pocket 50 times those are all useless notifications the whole thing is to train yourself to realize that it'll
00:59:47
come when it comes okay sack do you have any thoughts on this uh impressive demo
00:59:51
or you know the demo that people who've seen have said is pretty pretty darn compelling I think it it does look
00:59:56
pretty impressive I mean you can wear these meta Orion glasses around you know and look and look like a
01:00:03
human I mean you might look like Eugene Levy but you'll still look like a semi-normal person whereas you can't
01:00:10
wear the Apple Vision Pro I mean you can't wear that around what they don't look good you don't like them Nick can
01:00:16
you please find a picture of Eugene Levy har so I mean it seems like a major advancement certainly compared to apple
01:00:24
Vision Pro I mean you don't hear you don't hear about the Apple Vision Pros anymore at all I mean those things came
01:00:30
and [Laughter] went it's pretty funny it seems to me that who's that meta is executing
01:00:42
extremely well I mean you had the very successful cost cutting which Wall Street
01:00:46
liked Zuck published that letter which I give him credit for regretting the censorship that meta did which was at
01:00:52
the beest of the deep State yeah they made huge advancements in AI I don't think they were initially on The
01:00:59
Cutting Edge of that but they've caught up and now they're leading the open source yeah with with llama 3.2 and now
01:01:06
it seems to me that they're ahead on augmented reality ever since uh Zuck grew out the hair yeah you know don't
01:01:13
ever don't ever cut the hair it's like Samson I mean you've been it's like Samson Bas based Zuck is the best
01:01:20
Zuck I want to be clear I I think these glasses are are going to be successful my only comment is that I think that
01:01:28
when you look back 25 and 30 years from now and say that was the killer AI device I don't think it's going to look
01:01:35
like something we know today that's my only point and maybe it's going to be this thing that Sam Alman and Johnny IV
01:01:42
are baking up that's supposed to be this AI infused iPhone Killer maybe it's that
01:01:48
thing I doubt that will be a pair of glasses or a phone or a pin if you think about like so so take the constraints on
01:01:57
I don't need a keyboard because I'm not going to be typing stuff I don't need a normal browser interface you could see a
01:02:05
device come out that's almost like smaller than the palm of your hand that gives you enough of the visuals and all
01:02:11
it is is a screen with maybe two buttons on the side and it's all audio driven you put a headset in and you're
01:02:17
basically just talking or using gesture or looking at it to kind of describe where you want things to go and it can
01:02:22
create an entirely new Computing interface because AI does all of these things withed text with gesture control
01:02:29
with eye control and with audio control and then it can just give you what you want on a screen and all you're getting
01:02:34
is a simple interface so jamat you may be right it might be a big watch or a handheld thing that's much smaller than
01:02:39
an iPhone and just all it is is a screen with nothing I really resonate when you
01:02:45
talk about voice only because I think it's like it you I think there's like a part of like social
01:02:52
decorum that all of these goggles and glasses violate and I think we're going to have
01:02:58
to decide as a society whether that's going to be okay and then I think like are when you like go trekking in Nepal
01:03:06
are you going to encounter somebody wearing AR glasses I think the odds are pretty low but you do see people today
01:03:12
with a phone so what do they replace it with and I think voice as a modality is is I think it's more incredible that
01:03:20
that could be used by 8 billion people I think social Fabric's more affected by people staring at their phones all the
01:03:25
time you sit on a bus you sit at a restaurant you go to dinner with someone and they're staring at their phone like
01:03:29
you know spes friends we all deal with it where you feel like you're not getting attention from the person that
01:03:35
you're interfacing with in the real world because they're so connected to the phone if we can disconnect the phone
01:03:40
but still get take away this kind of addictive feedback loop system but still give you this Computing ability in a
01:03:46
more ambient way that allows you to remain engaged in the physical world I think everyone feel better hurt your
01:03:51
feeling when he's playing chess and not paying attention yeah I'll be playing chess on my our glasses while pretending
01:03:57
to listen to to you you idiot oh F's he's bu them he got he got version one what one point I want to
01:04:05
just hit on is the reason why these glasses have a chance of working is because of AI I mean Facebook initially
01:04:12
made these that's exactly my point it's exactly my point Facebook or meta made these huge investments before AI was a
01:04:18
thing and in a way I think they've kind of gotten lucky because what AI gives you is uh voice and audio so you can
01:04:26
talk to the glasses or whatever the wearable is it can talk to you perfect natural language and computer vision
01:04:33
allows it to understand the world around you so whatever this device is it can be
01:04:37
a true personal digital assistant in the real world and that's telling you if you
01:04:42
guys play with apple Vision Pro have any of you actually like used it to any extent if you actually used it I used it
01:04:49
for a day or a night when we were playing poker and I've never used it again since right which I get but I do
01:04:56
think that it has these tools in it similar to like the original Macintosh had these incredible Graphics uh editors
01:05:02
like mac paint and all these things that like people didn't like get addicted to
01:05:06
at the time but they became this like tool that completely revolutionized everything in Computing later and fonts
01:05:14
and so on but like this I think has these tools Apple Vision Pro with gesture control and the keyboard and the
01:05:21
eye control those aspects of that device highlight where this could all go which
01:05:26
is this these systems can kind of be driven without keyboards without typing without like you know moving your finger
01:05:33
around without CLI I think that's the I think that's the key observation I really agree with what you just said
01:05:38
it's this it's this idea that you're just you're liberated from the hunting and pecking the controlling it's you
01:05:45
don't need to control the computer anymore the computer now knows what you want and then the computer can just go
01:05:51
and do the work and they can respond so now this is the behavior change that I don't think we're fully giving enough
01:05:57
credit to so today part of what Jason talked about what I called anxiety is because of the information architecture
01:06:04
of these apps that is totally broken and the reason why it's broken is when you tell an AI agent get me the cheapest car
01:06:11
right now to go to XYZ place it will go and look at lft and Uber and whatever it'll provision the car and then it'll
01:06:19
just tell you when it's coming and it will break this cycle that people have of having to check these apps for what
01:06:26
is useless filler information and when you strip a lot of that notification traffic away I think you'll find that
01:06:32
people start looking at each other in the face more often and I think that that's a net positive so will will meta
01:06:39
sell hundreds of millions of these things I suspect probably but all I'm saying is if you look backwards 30 years
01:06:47
from now what is the device that sells in the billions it's probably not a form factor
01:06:52
that we understand today I just want to point out like the the form factor you're seeing now is going to get
01:06:58
greatly reduced these were um some of the early Apple um I don't know if you guys remember these but frog design made
01:07:05
these crazy tablets in the 80s that were the advenal inspiration for the iPad you know 25 years later I
01:07:14
guess exactly uh and so that's the journey we're on here right now this clunky and and these are not functional
01:07:20
protot dude the Apple Newton is like and then it turns out hey you throw away the
01:07:25
sty and you got an iPhone right and everything gets a million x better the other subtle thing that's happening
01:07:31
which I don't think we should sleep on is that the airpods are probably going to become much more socially acceptable
01:07:39
to wear on a 24x7 basis because of this feature that allows it to become a useful hearing aid and I think as it
01:07:46
starts being worn in more and more social environments and as the form factor of that shrinks that's when I
01:07:53
really do think we're going to find some very novel use case which is you know very unobtrusive it kind of
01:08:00
Blends into your own physical makeup as a person without it really sticking out I think that's when
01:08:06
you'll have a really killer feature but I think that the the airpods as hearing aids will also add a lot so meta's doing
01:08:13
a lot Apple's doing a lot but I don't think we've yet seen the super killer Hardware device yet and there was an
01:08:19
interesting Waypoint Microsoft had the first tablets here's the the Microsoft tablet for those of you watching
01:08:26
that came you know I don't know this was the late 90s or early 2000s freedberg if
01:08:30
you remember it these like incredibly oh bulky tablets that Bill Gates was bringing to all the events 99 2000 that
01:08:39
era so you get a lot of false starts they're spending I think close to 20 billion doar a year on this arv or
01:08:45
anyway we're definitely on this path to ambient Computing I don't think I don't think this whole like hey you got to
01:08:49
control a computer thing is anything my kids are going to be doing in 20 years this is uh this is the convergence of
01:08:54
like three or four really interesting technological waves all right just uh dovetailing with tech jobs and the
01:09:00
static team size there is a report of a blue collar Boom the tool belt generation is what gen Z is being
01:09:09
referred to as a report in the Wall Street Journal reports hey tech jobs have dried up we all we're all seeing
01:09:15
that and according to indeed Developer jobs down more than 30% since February of 2020 pre-co of course if you look at
01:09:23
layoffs.fyi you'll see all you know tech jobs that have been eliminated since 2022 over a half
01:09:30
million of them bunch of things at play here and the Wall Street Journal notes that entry level Tech workers are
01:09:37
getting hit the hardest especially all these recent college graduates and if you look at a historical College
01:09:45
enrollment let's pull up that chart Nick you can see here undergraduate graduate
01:09:48
and total with the red line we peaked at 21 million people in either graduate school or under graduate in 2010 and
01:09:57
that's come down to 8.6 million at the same time obviously in the last 12 years you've had uh the population has grown
01:10:03
so this is even you know if it was a percentage basis would be even more dramatic so what's behind this a poll of
01:10:11
a000 teens this summer found that about half believe a high school degree trade program or two-year degree best meets
01:10:18
their career needs and 56% said Real World on the job experience is more valuable than obtaining a college degree
01:10:24
something you've talked about with your own personal experience jamath at waterl
01:10:28
doing apprenticeships essentially your thoughts on generation tool belt such a positive trend I mean there's so many
01:10:37
reasons why this is good I'll I'll just list a handful that come to the top of my mind the first and probably the most
01:10:43
important is that it breaks this strangle hold that the university education system has on America's kids
01:10:54
we have tricked millions and millions of people into getting trillions of dollars in
01:11:02
debt on this idea that you're learning something in University that's somehow going to give you
01:11:09
economic stability and ideally freedom and it has turned out for so many people to not be true it's just so absurd and
01:11:18
unfair that that has happened so if you can go and get a trade degree and live a
01:11:24
econom ially productive life where you can get married and have kids and take care of your family and do all the
01:11:29
things you want to do that's going to put an enormous amount of pressure on higher ed why does it charge so much
01:11:36
what does it give in return that's one thought the second thought which is much more narrow Peter teal has that famous
01:11:42
saying where if you have to put the word science behind it it's not really a thing and what we are going to find out
01:11:50
is that that was true for a whole bunch of things where people went to school like political science
01:11:55
social science yeah social science but I always thought that computer science would be immune but I think he's going
01:12:02
to be right about that too because you can spend two or $300,000 getting in debt to get a computer science degree
01:12:09
but you're probably better off learning JavaScript and learning these tools in some kind of a boot camp for far far
01:12:14
less and graduating in a position to make money right away so those are just two ideas I think that it allows us to
01:12:21
be a better functioning Society so I am really supportive of this trend sax your
01:12:28
thoughts on this generation tool belt we're we're reading about and you know the sort of combination with static team
01:12:36
size that we're seeing in technology companies keeping the number of employees the same or trending down
01:12:42
while they grow 30% year-over-year oh my God I'm like so sick of this this topic of of job loss or job disruption
01:12:50
you I got in so much trouble last week you asked a question about whether the upper middle class is going to suffer
01:12:55
because they're all going to be put out of work by Ai and I just kind of brush it off not because I'm advocating for
01:13:01
that but just because I don't think it's going to happen this whole thing about job loss is so overdone there's going to
01:13:07
be a lot of job disruption but in the case of coders just as an example I think we can say that coders depending
01:13:14
on who you talk to are 10 20 30% more productive as a result of these coding assistant tools but we still need coders
01:13:22
you can't automate 100% of it and the world needs needs so many of them the need for software is unlimited we can't
01:13:29
hire enough of them at Glue by the way shout out if you're looking if here a coder who is afraid of not being able to
01:13:34
get a job apply for one at glue believe me we're hiring I just think that this is so overdone there's going to be a lot
01:13:41
of disruption in the knowledge worker space like we talked about the workflow at call centers and to service factories
01:13:50
there's going to be a lot of change but at the end of the day I think there's going to be plenty of work for humans to
01:13:56
do and some of the work will be more in the blue collar space and I agree with jamath that this is a good thing I think
01:14:02
there's been perhaps an overemphasis on the idea that the only way to get ahead in life is to get uh like a fancy degree
01:14:10
from one of these universities and we've seen that many of the universities they're just not that great they're
01:14:16
overpriced you end up graduating with a mountain of debt and you get a degree that is you know maybe even far worse
01:14:23
than computer science that's just completely worthless so if people learn more vocational skills if they skip
01:14:30
College because they have a proclivity to do something that doesn't need that degree I think that's a good thing and
01:14:35
that's healthy for the economy freedberg is this like uh just the pendulum swung
01:14:38
too much and education got too expensive spending 200k to make $50,000 a year distinctly different than our childhoods
01:14:45
or I'm sorry our adolescence when we were able to go to college for 10K a year 20K a year graduate with you know
01:14:51
some low tens of thousands in debt if you did take debt and then you're your entry level job was 5050 60 70k coming
01:14:57
out of college what are your thoughts here is this a value issue with college well yeah I think the Market's
01:15:02
definitely correcting itself I think for years as chamat said there was kind of this belief that if you went to college
01:15:07
there was regardless of the college there was this outcome where you would make enough money to justify the debt
01:15:15
you're taking on and I think folks have woken up to the fact that that's not reality again
01:15:22
if there was a free market remember most people go to college with student loans
01:15:27
and all student loans are funded by the federal government so the the cost of education has ballooned and the
01:15:34
underwriting criteria necessary for this free market to work has been completely
01:15:39
destroyed because of the federal spending in the student loan program there's no discri discrimination between
01:15:46
one school or another you could go to Trump University or you could go to Harvard it doesn't matter you still get
01:15:52
a student loan even if at the end of the process you don't have a a degree that's
01:15:57
valuable and so I think folks are now waking up to this fact and the market is correcting itself which is good I'll
01:16:03
also say that I think that there's this premium with generally mass production and
01:16:11
industrialization of the human touch and what I mean is if you think about hey you could go to the store and buy a
01:16:20
bunch of cheap food off of the store shelves you could buy a bunch of Hershey's chocolate bars
01:16:25
or you can go to a Swiss choler in downtown San Francisco pay $20 for a box of Handmade Chocolates you'll pay that
01:16:32
premium for that better product same with clothes there's this big Trend in kind of handmade clothes and high-end
01:16:38
luxury goods spoke artisanal Aral handmade and and similarly I think that there's a premium in Human Service in
01:16:50
the partnership with a human it's not just about blue collar jobs it's about having a
01:16:55
talk to you and serve you if you go to a restaurant instead of having a machine spit out the food to you there's an
01:17:02
experience associated with that that you'll pay a premium for there's hundreds and hundreds of micro breweries
01:17:08
in the United States that in aggregate out sell Budweiser and Miller and even Modello today and that's because they're
01:17:14
handcrafted by local people and there's a there's an artisan craftsmanship so while technology and AI are going to
01:17:21
completely reduce the cost of a lot of things and increase the production and productivity of those things one of the
01:17:29
complimentary consequences of that is that there will be an emerging premium for Human Service and I think that there
01:17:35
will be an absolute burgeoning and blossoming in the salaries and the availability and demand for Human
01:17:42
Service in a lot of walks of life certainly there's all the work at home the electricians and the plumbers and so
01:17:48
on but also Fitness classes food personal service around tutoring and learning and developing oneself
01:17:56
there's going to be an incredible blossoming I think in human service jobs and they don't need to have a degree in
01:18:00
poai to be performed I think that there will be a lot of people that would be very happy in that world how do you see
01:18:05
the differentiation the person makes free ber in doing that job versus the agent or the AI or whatever well these
01:18:12
are iners human jobs so if I want to do a fitness class do I want to stare at the tonal or this what I'm this is what
01:18:18
I'm asking you yeah like what I think I I think that there's an aspect of um it look it's like your Laura like you you
01:18:26
talk about the story of Laura piano where is theun coming from how's it made Who's involved in it like yes look God
01:18:36
go don't stop Reber I could give you truffle flavoring out of a can but you you love the white truffles you want to
01:18:42
go to Italy you want the storytelling there's an aspect of it right like yeah and I think that there's an aspect of
01:18:48
humanity that we pay a premium that we do and will look Etsy crushes I don't know how much stuff you guys buy an Etsy
01:18:54
I love buying from Etsy I love finding handmade stuff on Etsy for no you don't do you really yes I do yeah hand crating
01:19:01
I yeah handmade so I think that there's an aspect of this that um that in a lot of walks of life I mean I have so many
01:19:07
jokes right now chewing what I've never used that se but I'm gon to try it now after this have
01:19:14
you guys taken music lessons lately you know I start my kids do piano lessons and so last year I started ducking in to
01:19:19
do a 45-minute piano lesson with the piano teacher there's just like a great aspect to paying for for these services
01:19:25
to getting fascinating bring oh here we go you can play the harmonica really I've just playing some I want to play
01:19:34
some Zack Bryan songs and he's got a couple songs I like with a harmonica in them so I just got harmonica my daughter
01:19:39
and I have been playing harmonica yeah are you teaching yourself let's hear it let's hear it let's hear it I'll play it
01:19:45
next week I'm deep in the laboratory not a bit it could be a bit but could be a I'll write I'll write your song next
01:19:52
week the uh a little shy he's a little shy no no I'll do I'll I'll write a trump song for you I'll do the uh the
01:19:58
the trials and tribulations of Donald Trump and I'll I'll do a little Bob Dylan send up song
01:20:05
for you see that interview with um with Bob Dylan I don't know when it was recently about how andc that clip
01:20:15
Bradley amazing Bradley clip about magic yeah some of those songs I don't know how I wrote them they just came out and
01:20:25
do that anymore he's like no but I did it once no but I did it once and what an incredible that means something yeah
01:20:34
eclipes ground it's really grounding you understand too soon there is no chance of ding yeah that's an incredible
01:20:42
clip guys want to wrap or you want to keep talking about more stuff we we're at 90 minutes let me just say tell you
01:20:47
something I think there's G to be a big war I think by the time the show airs Israel's incursion into Lebanon is going
01:20:52
to get bigger it's going to escalate and by next week we could be in a full-blown multinational war in the
01:21:00
Middle East and if I am you know a betting man I would bet that the odds are you know more than 30 40% that this
01:21:08
happens before the election that this this conflict in the Middle East escalates thank you for bringing this up
01:21:14
I am not asking anybody to go listen to what I my interview with Rogan uh but I will say this part of why I was so
01:21:27
excited to go and talk to him in a long form format was this issue of war is I think the existential crisis of this
01:21:37
election and of this moment and I really do agree with you freeberg there is a non-trivially high probability the
01:21:45
highest it's ever been that we are just bumbling and sleepwalking into a really bad situation we can't walk back from I
01:21:54
really hope you're wrong and here's the here's the situation I really hope you're wrong if Israel incurs further in
01:22:01
into Lebanon going after Hezbollah and Iran ends up getting involved in a more active way does Russia start to provide
01:22:11
supplies to Iran like we are supplying to Ukraine today does this sort of bring everyone to a line just to give you a
01:22:19
sense you know of the scale of what Israel could then respond with Iran has 600 ,000 active udy military another
01:22:26
350,000 in reserve they have dozens of ships they have 19 submarines they have a 600 km range missile system Israel has
01:22:35
90,000 has sorry 170,000 active duty and half a million Reserve Personnel 15 warships five submarines potentially up
01:22:42
to 400 nuclear weapons including a very wide range of tactical sub one kiloton nuclear weapons small small payload you
01:22:51
could see that if Israel starts to feel incurred upon further they could respond
01:22:59
in a more aggressive way with what is you know by far in away you know the the most significantly
01:23:06
stock Arsenal and military force in the Middle East again we've talked about what are these other countries going to
01:23:13
do what is Jordan going to do in this situation how is how the Saud going to respond what is Russia going to do
01:23:20
Russia well the Russia Ukraine thing meanwhile still goes on and we saw in our group chat one of our friends posted
01:23:27
but Russia basically said any more attacks on our land you know we reserve All rights including nuclear response
01:23:34
that is insane well you know so just to give you a sense um how how are we here yeah so the the nuclear bombs that were
01:23:43
set off during World War II I just want to show you how crazy this this is do you see that image on the
01:23:52
left that all all the way over on the left that's a bunker Buster you guys remember those from Afghanistan and and
01:23:58
the Damage that those bunker Buster bombs caused Hiroshima is a 15 kiloton nuclear and you can see the size of it
01:24:06
there on the left that's a zoom in of the image on the right and the image on the right starts to show the biggest
01:24:14
ever tested was Zar bomba by the Soviets this was a 50 Megaton bomb it it caused
01:24:21
shock waves that went around the Earth three times they could be felt as seismic shock waves around the earth
01:24:28
three times from this one detonation today there are a lot of .1 to1 kiloton nuclear bombs that are kind of
01:24:36
considered these tactical nuclear weapons that kind of fall closer to between the bunker Buster and the
01:24:43
Hiroshima and that's really where a lot of folks get concerned that if Israel or
01:24:47
Russia or others get cornered in a way and there's no other tactical response that that is what that get gets pulled
01:24:55
out now if someone detonates A.1 or 1 kiloton nuclear bomb which is going to look like a mega bunker Buster what is
01:25:02
the other side and what's the world going to respond with that's how on the brink we are and there's
01:25:08
12,000 nuclear weapons with an average payload of 100 kilotons around the world the US has a
01:25:15
large stockpile Russia has the largest many of these are hair trigger alert systems China has the third largest and
01:25:22
then Israel and India and and so on it is a very concerning situation because if anyone does get pushed to the brink
01:25:31
that has a nuclear weapon and they pull out a tactical nuke does that mean that game is on and that's why I'm so nervous
01:25:37
about where this all leads to if we can't decelerate it's very scary because you could very quickly see this thing
01:25:42
Accel I am the most objectively scared I've ever been and I think that people grossly
01:25:49
underestimate how quickly this could just spin up out of control and right now not enough of us are spending the time
01:25:57
to really understand why that's possible and then also try to figure out what's the offering and I think it's I think
01:26:04
it's just incredibly important that people take the time to figure out that this is a nonzero probability and this
01:26:11
is probably for many of us the First Time In Our Lifetime where you could really say that well I think freeberg is
01:26:16
right that we're at the beginning stages of I think what will soon be referred to
01:26:20
as the third Lebanon war the first one was in 1982 uh Israel went into Lebanon and
01:26:27
occupied it until 2000 then it went back in 2006 left after about a month and now
01:26:33
we're in the third war it's hard to say exactly how much this will escalate the IDF is exhausted after the war in Gaza
01:26:44
there's significant opposition within Israel and within the Armed Forces to a big ground invasion of Lebanon so far
01:26:53
most of the fighting has has been Israel using its air superiority overwhelming Firepower against Southern Lebanon and I
01:27:02
I I think that if Israel makes a ground Invasion they're giving hisbah the war that hisbah wants I mean hisb would love
01:27:11
for this to turn into a Guerilla war in southern Lebanon so I think there's still some question about whether
01:27:17
Netanyahu will do that or not at the same time it's also possible that his Bella will
01:27:24
attack Northern Israel what nzala has threatened to invade the Galilee in response to what Israel is
01:27:34
doing so there's multiple ways this could escalate and if Hezbollah and Israel are in a fullscale war with
01:27:44
ground forces it could be very easy for Iran to get pulled into it on hisb side and if that happens I think it's just
01:27:51
inevitable that the United States will be pulled into this war so yeah look I think we are drifting and and we have
01:27:58
been drifting into a regional war in the Middle East that you know ideally would
01:28:04
not pull in the US I I think the US should try to avoid being pulled in but I think very likely will be pulled in if
01:28:10
it escalates and then meanwhile in terms of the war in Ukraine I mean I've been warning about this for two and a half
01:28:17
years how dangerous the situation was and that's why we should have availed ourselves of every diplomatic
01:28:23
opportunity to make peace and we now know because there's been such Universal reporting that in Istanbul in the first
01:28:31
month of the Ukraine war there was an opportunity to make a deal with Russia where Ukraine would get all of its
01:28:37
territory back is just that Ukraine would have to agree not to be part of NATO it would have to agree to be
01:28:42
neutral and not part of the western military block that was so threatening to Russia the Biden Administration
01:28:48
refused to make that deal they sent in Boris Johnson to Scuttle it they threw cold water on it they blocked it they
01:28:53
told zinsky will give you all the weapons you need to fight Russia zalinsky believed in that it has not
01:28:59
worked out that way Ukraine is getting destroyed it's very hard to get honest reporting on this from the mainstream
01:29:06
media but the sources I've read suggest that the ukrainians are losing about 30,000 troops per month and that's just
01:29:15
Kia I don't even think that's wounded that on a bad day they're suffering 1,200 casualties it's more than even
01:29:23
during that counter offensive last summer that Ukraine had during that time they were losing about 20,000 troops a
01:29:28
month so the level of Carnage is escalating Russia has has more of everything more weapons more Firepower
01:29:38
air superiority and they are destroying Ukraine and it's very clear I think that
01:29:44
Ukraine within it could be in the next month it could be in the next two months it could be in the next six months I
01:29:48
think they're eventually going to collapse they're getting close to being combat incapable and in a way that poses
01:29:54
the biggest danger because the closer Ukraine gets to collapse the more the West is going to
01:30:00
be tempted to to intervene directly in order to save them and that is what zalinski was here in the US doing over
01:30:07
the past week is arguing for direct involvement by America in the Ukraine war to save him how did he propose this
01:30:15
he said we want to be directly admitted to Nato immediately that was his request
01:30:21
and he called this the the victory plan so in other words his plan for victory is to get America involved in the war
01:30:26
and fighting it for him but that is the only chance Ukraine has and it is possible that the Biden Harris
01:30:33
Administration will agree to do that or at least agree to some significant escalation so far I think Biden to his
01:30:39
credit has resisted another zalinsky demand which is the ability to use America's long-range missiles and
01:30:47
British long- range missiles the storm Shadows against Russian cities that is what zalinski is asking for if zalinsky
01:30:52
wants a major escal of the war because that is the only thing that's going to save him save his side and maybe even
01:30:59
his neck personally and so we're one mistake away from the very dangerous situation that chth and freeberg have
01:31:07
described if a President Biden who is basically scile or a president Harris agree to one of these zalinsky requests
01:31:17
we could very easily find ourselves in a direct war with the Russians the Walts into World War II is what it should be
01:31:25
called and the reason why this could happen is because we don't have a fair media that's fairly reported anything
01:31:30
about this War I mean Trump is on the campaign Trail making I think very valid points about this war that the Ukrainian
01:31:37
cause is doomed and that we should be seeking a peace deal and a settlement before this cons spiral into World War
01:31:44
II that is fundamentally correct but the media portrays that as being pro-russian
01:31:49
and pro Putin and if you say that you want peace you are basically on the take from Putin in Russia that is what the
01:31:54
media has told the American public for 3 years the definition of Liber liberalism
01:31:59
has always been being completely against war of any kind and being completely in
01:32:05
favor of free speech of all kinds that's what being a liberal means we've lost the
01:32:12
script and I think that people need to understand that this is the one issue where if we get it wrong literally
01:32:19
nothing else matters and we are sleepwalking and tiptoeing into a potential massive World War Jeffrey sck
01:32:30
said it perfectly you don't get a second chance in the nuclear age all it takes is one big mistake you do not get a
01:32:36
second chance and for me I have become a single issue voter this is the only issue to me that
01:32:45
matters we can sort everything else out we can figure it all out we can we can find common ground and reason should
01:32:53
taxes go up should taxes go down let's figure it out should regulations go up should regulations go down we can figure
01:33:00
it out but we are fighting a potential nuclear threat on three fronts how have we allowed this to happen Russia Iran
01:33:12
China you cannot underestimate that when you add these kinds of risks on top of each other
01:33:20
something can happen here and I don't think people know they're too far away from it they're too many generations
01:33:26
removed from it war is something you heard maybe your grandparents talk about now and you just thought okay
01:33:33
whatever I lived it it's not good jth you're right I mean during the Cuban Missile Crisis all of America was
01:33:40
huddled around their TV sets worried about what would happen there is no similar concern in this day and age
01:33:46
about the escalatory wars that are happening there's a little bit of concern I think about what's happening
01:33:52
in the Middle East there's virtually no concern about what's happening in Ukraine because people think it can't
01:33:57
affect them but it can and one of the reasons it could affect them is because we do not have a fair debate about that
01:34:04
issue in the US media the media has simply caricatured any opposition to the war as being protin so I would say that
01:34:13
when every pundit and every person in a position to do something about it says you have nothing
01:34:24
to worry about you probably have something to worry about and so when everybody is trying to
01:34:31
tell you everybody that this is not a risk it's probably a bigger risk than we think yeah they're protesting too much
01:34:41
how can you say it's not a risk me think thou do protested all right love you boys
01:34:48
[Applause] byebye let your winners ride Man David and instead we open source it to
01:34:59
the fans and they've just gone crazy with it love queen [Music] of Besties are that's my dog taking your
01:35:17
driveways oh man myit will meet me we should all just get a room and just have one big huge or because they're all this
01:35:24
usess it's like this like sexual tension that they just need to release somehow we need to get mer
01:35:39
[Music] our going [Music]

Badges

This episode stands out for the following:

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  • 70
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  • 70
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  • 60
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Episode Highlights

  • Introduction of Chain of Thought Model
    A new AI model introduces a revolutionary approach to reasoning and task execution.
    “This is the ultimate evolution of what these systems need.”
    @ 01m 55s
    September 27, 2024
  • OpenAI's Valuation Discussion
    The team dives into the implications of OpenAI's reported $150 billion valuation.
    “How is OpenAI worth $150 billion?”
    @ 06m 45s
    September 27, 2024
  • The Role of Analysts is Changing
    Analysts are being replaced by AI models that can analyze data in minutes.
    “The analyst is the model sitting on the computer in front of you.”
    @ 23m 05s
    September 27, 2024
  • Systems of Record Obsolete?
    The concept of systems of record may soon be outdated as AI takes over data processing.
    “The radical idea is that systems of record no longer exist because they don't need to.”
    @ 25m 50s
    September 27, 2024
  • AI's Impact on Company Structures
    AI will change company structures, allowing fewer people to achieve more.
    “The pie can get bigger while the slices get much smaller.”
    @ 39m 44s
    September 27, 2024
  • OpenAI's Corporate Transformation
    OpenAI is converting from a nonprofit to a for-profit corporation, raising eyebrows about fairness.
    “How do you do that and then not clean it up for Elon?”
    @ 48m 04s
    September 27, 2024
  • The Future of Computing
    A shift towards ambient computing is underway, changing how we interact with technology.
    “I don't think we're going to have this like phone in our pocket.”
    @ 55m 29s
    September 27, 2024
  • The Future of Interaction
    Exploring how glasses could take on tasks traditionally done by phones, enhancing ease of use.
    “I bet you glasses are going to take like a third of the tasks you do.”
    @ 59m 17s
    September 27, 2024
  • AI's Role in Wearable Tech
    Discussing how AI advancements are crucial for the success of new wearable devices.
    “The reason why these glasses have a chance of working is because of AI.”
    @ 01h 04m 07s
    September 27, 2024
  • The Shift in Education
    A discussion on the changing perception of college degrees and vocational training.
    “It breaks this stranglehold that the university education system has on America's kids.”
    @ 01h 10m 43s
    September 27, 2024
  • Escalating Tensions in the Middle East
    Discussion about the potential for a multinational war in the region.
    “I think there's going to be a big war.”
    @ 01h 20m 48s
    September 27, 2024
  • The Nuclear Threat
    A warning about the risks of nuclear escalation and its implications.
    “You don't get a second chance in the nuclear age.”
    @ 01h 32m 32s
    September 27, 2024

Episode Quotes

  • The wild wild west in terms of the comment section on YouTube.
    OpenAI's $150B conversion, Meta's AR glasses, Blue-collar boom, Risk of nuclear war
  • It's completely revolutionary in ad hoc knowledge work.
    OpenAI's $150B conversion, Meta's AR glasses, Blue-collar boom, Risk of nuclear war
  • The pie can get bigger while the slices get much smaller.
    OpenAI's $150B conversion, Meta's AR glasses, Blue-collar boom, Risk of nuclear war
  • I don't think we're going to have this like phone in our pocket.
    OpenAI's $150B conversion, Meta's AR glasses, Blue-collar boom, Risk of nuclear war
  • I think that the market is correcting itself, which is good.
    OpenAI's $150B conversion, Meta's AR glasses, Blue-collar boom, Risk of nuclear war
  • I think we are drifting into a regional war.
    OpenAI's $150B conversion, Meta's AR glasses, Blue-collar boom, Risk of nuclear war

Key Moments

  • Emotional Tribute00:23
  • Systems of Record25:50
  • Investment Concerns40:35
  • OpenAI's Structure Change40:51
  • Ambient Computing Shift53:04
  • Ease of Use59:35
  • Human Service Demand1:17:40
  • Nuclear Age Concerns1:32:32

Tension Over Time

Words per Minute Over Time

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