Chamath: AGI Is Here, Anthropic’s $100B Giveaway, Elon’s SpaceX Shares for 72M Kids | EP #304
In a Nutshell
Chamath claims AGI already exists in labs but can't spread until massive infrastructure catches up. Anthropic's 5% equity donation to a private fund is genuine philosophy, not marketing, while Elon’s plan to gift SpaceX shares to 72 million American kids is the smarter model—teaching ownership instead of just pledging wealth. The real constraint now is power and data centers, not chips or models, as the US faces a 1.4 TWh electricity shortage by 2050 and 15 GW of stranded GPUs waiting for liquid-cooled facilities.
These notes were generated by AI and may contain inaccuracies.
I do think that we have achieved AGI. It cannot diffuse. And the reason it cannot diffuse has nothing to do with the technology. It has everything to do with the buildup until you actually build it out so everybody can feel it or a plurality of human beings can feel it. It's just something that exists in a lab. Anthropic announced the Anthropic public benefit fund. 5% is somewhere between 75 to hundred billion dollars.
I think that these guys kind of walk the walk and talk the talk. I don't think that there's something nefarious there. I think they genuinely believe.
Next year I will give one of my SpaceX shares to every kid in America. This will be the first of many. There are 72 million Americans under age 18. So that's roughly 10.5 billion in total, $146 per kid. This is really the better version of the giving pledge. Teaching this entire generation to own equities is a really good move. Now the big question. Can Trump accounts contributed from billionaires and frontier labs actually move the needle for the average American? And I think now that's a moonshot, ladies and gentlemen.
This episode is brought to you by the Abundance Summit and Link Ventures. Welcome to Moonshots, everyone. Your number one podcast in all things AI and exponential, your front row seat to the accelerating singularity. Today I'm here with the original crew, AWG, our in-house ASI. Alex, good to see you. You changed your orchid today. Nah, it's just a floodfill.
Dave Blondon, our improario of AI investing and Sel is our warlord against linear thinking. Salem, you're home. I am actually home. Thank God. Loving every second of it. And from the All-In podcast, the man his co-hosts call chairman dictator Chamath Paulia. Chamath, a pleasure to have you on our crossover episode. Thank you. It's great to be included.
Now, at the end of this, I want you to tell me which of the Greek moderators you prefer more, me or Jal. Okay. J. You. But for the 1% of people who don't know who you are, let me do a proper introduction. So, Chimath was born in Sri Lanka and grew up in Ottawa with very little, working at Burger King to help pay the bills, make ends meet. He became AOL's youngest vice president, then built the growth team that helped Facebook to a billion users. And since founding Social Capital in 2011, he's been on a rocket ship, purchased 10% of the Golden State Warriors, put the first check into Grock, which Nvidia just licensed in a $20 billion deal. Today, he's a CEO of 8090, which raised 135 million this summer to build the world's legacy software with AI. Chamath, a pleasure to have you on the fun side of the podcast universe.
God, I mean, the way the way the way you say it, it just looks like it all it all works. Hey, what you overlooked there, Chamath is shedding all material possessions. So, the Golden State Warriors, I guess, is going to be off the docket, right? I mean, my parts of my family still own part of it, but I do not.
And everybody, I'm Peter Demandis, your host and abundance provocator. Our mission is always help you understand what just happened, what it means, keep you optimistic and abundance minded as we go through the singularity. And this is another crazy week. But before we start, I just had the most amazing lunch with William Shatner and his son-in-law Joel. So spent two hours with Captain Kirk, my childhood hero, and he was grilling me about geothermal energy and what the best companies for drilling are and I was just so impressed. He's 95 years old and the guy has got just an incredible passion for life. So, and guess what, Seem, he's joining us at Abundant Summit this year. Oh, that's awesome. Yeah. I am shocked that Spock wasn't your childhood hero. No, no, it was the guy who got the girls for sure. Oh, okay. And the one who was like just pushing the universe forward.
Well, Chimath, it's incredibly awesome to get you on the pod here. You know, back during COVID, my oldest son, Daniel, came to me and said, I just saw the most amazing podcast ever. there are actually four people on the planet who know what they're talking about. You've got to check it out. So, it was like a lifesaver through that whole, you know, window where everyone was trapped at home. So, I've been a huge fan ever since. So, it's great. It's great to meet you. Thank you for saying that. Yeah. I think all of us are all podcast fans. It's the one podcast I never miss. Ever. Really? Yeah. Yeah. That's a commitment because you See, you miss this one all the time. I missed. Wait a time. How does that work? But I don't miss that one. Because you're someplace on the planet. Yeah. No, sure. The two podcast I listen to is this one when we recorded and All in. We're turning into the Marvel Cinematic Universe with All-In crossover here. I think Where's Iron Man? Where's Doctor Strange? I see. I see. And then we're going to have an internal war like Avengers against Avengers inevitably.
All right. Let's open with a story that's either the most generous move in corporate history or the cleverest IPO marketing ploy ever. So on Sunday, Anthropic announced the Anthropic public benefit fund. Let me read from their post. Quote, Subject to stockholder approval, 5% of Anthropic shares will be committed today with an additional 2% added to the at the board's discretion for every 50% increase in the company's value above a set baseline. The post continues, It is common practice for tech companies to offer escalating compensation awards to their executives. We are instead directing that equity towards public benefit. So, what is it worth? Enthropic is heading for a roughly 2 billion $2 trillion IPO, though 1.5 trillion is being floated and at that range 5% is somewhere between 75 to hundred billion.
Now add the founders pledge when enthropic started all seven co-founders pledged to give away 80% of their equity about half of the employees are also pledging shares with a matching grant. Enthropic says altogether roughly 20% of the company is dedicated to the public good placing it somewhere between 300 to 400 billion compared to open's open a foundation's value of 130 to 365 billion. So, it's a lot of money going towards public benefit.
The reactions on X were instant and varied. Elon said, quote, I recommend giving the shares directly to the public. This is what I'm going to do. And more on this in our second story. AI analyst Andrew Curran said, It sounds to me like they're planning their own form of self-directed UBI. Brad Gersonner said, It's an extraordinary gift, but warned about quote foundation wealth concentration. and said, I hope a meaningful portion of AI wealth is directed is direct dividends. And then Palmer Lucky came out and said, This reeks of USA US aid 2.0.
Chimath, let me go to you first. You're an investor. So, is 5% donation right before an IPO generous or is it a brilliant way to get goodwill? I mean, I think it's none of those things. I think it's more this is their philosophical bent and you know they're staying true to their word. I mean the idea that when you start a company you would give up 80% of the gains even before you have an idea of what the terminal outcome is is pretty incredible. So I think that these guys kind of walk the walk and talk the talk. I don't think that there's something nefarious there. I think they genuinely believe that what they're doing is the right thing. I think there's a different question which is if you just look at the history of these sorts of philanthropies and philanthropically minded efforts they generally don't turn out that well absent of a feud and so I think the real question is what is their fail safe to course correct if this mean reverts and becomes what you know everything else in the world has overwhelmingly looked like when philanthropically minded people give large sums of money away in big bursts which is you know not a lot of quantifiable outcome. I think that's the really big question.
You know one of the critiques I have of the giving pledge is people are pledging half of their Are you a member of the giving pledge by the way? No the giving pledge is Okay, great. Thank you. That's You didn't ask me that. Let me be direct. Right. So, people pledge to give away half their wealth while they're still alive, etc., etc. But the greatest, you know, the greatest ability you have is not just your wealth. It's your connections. It's what you do. I've always said there should be an impact pledge where people, you know, pledge their wealth in a measurable impactful way and you monitor it and people make a difference. They came and they came and pitched me about the giving pledge a decade ago and my take was this thing is a scam and reason is it's reputation washing because they had no the only goal was to put my name on a list and to add my number to their number so that they could walk around with a bigger number and I was like this is the stupidest thing I've ever seen and I'm like what do I get in return for all of this and you know it's like you get to go to a Um, and there's like a weekend where there's like a get together weekend.
And so, look, I think that there's a lot of people that probably thought it was on the margins the right thing to do, but it was pretty pretty obvious to me that it was pretty stupid. Didn't Warren Buffett bail out of that recently, too? He he signed up. Well, just recently, but he was he was right there at the front end kind of like and you know, it's a big deal when you say no to these guys a decade ago because like it it looks like you're doing something wrong and they're do some they're doing everything right. But it but that's a sign of the times actually. There was a lot of social pressure on many many fronts that has since course corrected. But yeah, that that was a one of the first pure pressure, arm twisted. But if you said no, you you get this negative reputation.
I mean, here's what I don't understand. What I don't understand is like if you're capable of making incredible gains in society economically, what it probably says about you is that you are at a minimum clever. Um because you know sometimes you can get lucky but if you're unlucky afterwards you kind of give it all back, you know. So in in order to sort of like make and sustain wealth, you have to be relatively clever, welltimed, well read, well reasoned. um you make all of this progress. What what it says about you is actually a fair amount. It says that you know you're you're quite a successful evolved person. Doesn't mean that there aren't evolved people that don't have money, but it just but what I am saying is that the people you know that that typically tend to become hyper successful are functional people. And then the idea that those functional high achieving people would all of a sudden just let some other person that they don't know to be smart or capable all of a sudden put a bunch of money to work. Sounds stupid. It's like you're the smart one. You should put it to work. You know, at a minimum raise your kids because they're likely to be as smart as you. So there's all these ways in which you can probably think about philanthropy or give it away like you know Elon's doing which you'll talk about I'm sure with the Trump accounts. There's so many scaled ways to do it. This was the the the one that had nothing to do with actually achieving anything and everything to do with just pure pressure and reputation washing.
Yeah, agreed. Your greatest gifts are not your money. It's your intelligence and your relationships and your ability to make difference in the world. Uh Alex, what's your take on these public benefit funds? Yeah, I think there's an elephant in the room. There are many elephants in many rooms. And this one was what I've called a hyper tithe. Uh this notion that frontier AI labs, which many, not all, think are well positioned to suck up much of the value in the economy, there's an increasing anchored expectation that they will donate some quantum of their equity to the public benefit. Maybe it's 5% hypothetically.
5% is of course also the magic number that in the US nonprofit foundations are required to distribute every year. So I think there was a latent expectation out there that Anthropic probably seeded by OpenAI and others would say take 5-ish% of their equity in connection perhaps with their forthcoming IPO and that they would donate it to a US sovereign wealth fund or the 538 Trump accounts or something some way for the general American public to benefit from all of their newfound liquidity. And the fact as it appears that Anthropic is not doing that, that instead they're creating a private fund and not donating 5% to the general public, I construe as a snub to this particular administration, a snub to the idea of a universal basic equity. Granted, Congress hasn't acted to create a sovereign wealth fund yet, although there was some interest from the executive last year in doing that. Congress hasn't yet acted. I think what the whole world is waiting for would be in in my dream scenario an act of Congress. I don't think this could come purely from executive order. an act of Congress that would create an sort of a middle tier of company that's halfway between a nonprofit required to distribute 5% of their assets per year and a general for-profit that distributes none of its assets that somehow gives a certain percentage of its equity to the US to to the public to the government or to a sovereign wealth fund which also I would argue needs to be created in return for something but Congress hasn't done that white house I think with the best of motiv ations tried to put together a sovereign wealth fund last year. Didn't quite happen yet. And and I think the question that I have is in a better world where Anthropic could have grown into this. It's not quite a public benefit corporation, but some new class of company that gives up a certain percentage of equity, not cash and not free cash flow and not income to the general public for public benefit. What would they get in return? to Chimath's earlier point of the giving pledge. What would Chimamath have wanted from giving pledge in a hypothetical better world in return for to be left alone? To be left alone. So, okay. So, maybe I would have given him half the money. They just left me alone. Well, the anthropic version of being left alone maybe lightness of regulation, which starts to smell like a safety cartel or some sort of light touch regulatory treatment, be left alone by the government. something in return for giving up 5% of their equity and I think that's the part of the equation that's still missing. Nice. Sm
Uh two or three thoughts and you know this whole construct of phil philanthropy is still a very scarcity era response right a company becomes successful creates wealth decides how to redistribute it. Um I think as we move to kind of an exponential abundance world you you need new models of ownership uh participation and and direct access to services. I think this is the bigger uh challenge. The good news is this is actually starting it's the beginning of the discussion of new economic uh institutions and I think that's the good news around this. going to force that uh conversation because you got to distinguish the philanthropy from the structural economic reform that's needed because we're still taxing labor and that's a kind of an archaic structure in a world where AI will take over more and more of that. Yeah. You know, interesting, Dave, the uh the reality is this philanthropic money, if you want to call it that, is actually controlled by the for-profit company. Mhm. So, and and I've been on many many boards and when you authorize the board to contribute another 2% for each 50% valuation increase, man, did you just make this a stressful board to be on? Like, how are you going to make that decision? Like, you've got the shareholders over here saying, No, don't take the delution. And then you've got the public over there saying, You're authorized to do it. What's the decision, guys? That's just a It kind of punts a really tough choice down the road. I think there's going to be so much uh demand from the public to own part of these companies. I think this is just the very beginning of the process by which these large hyperscalers start having sort of an expectation that part of their company, part of their equity is going to be distributed. I think this is just the early days. Yeah. or for anyone who lost the thread of the drama here, you know, remember Anthropic was born out of disgruntled Open AI people who didn't trust OpenAI to be safe with ASI or SI now. And so that was their founding and all the MIT people, brilliant, brilliant researchers that I know that went there went there specifically because they trusted Daario to be that voice of sane and safe and rational AI. So that's that's core. I think much later when he said, Hey, I only own 1% of this company. We need to reclassify our shares so that we're the seven of us are super voting control. That could be spun very negatively. So, I think now and and you look at the memes of Daario, you know, he was never me'd in a bad light right up until recently. Now, with the IPO coming, like look all over X. I mean, he he's painted in all kinds of different lights. He's a devil incarnate. Oh, yeah. It's tough. No, I think part part of the issue is it it really there isn't an established regime, a broadly established regime for the US government to tax equity. It can tax income and it can tax cash flows. There are there are more exotic ways one could imagine for the government to tax and distribute equity itself. But generally in the US this is an unfamiliar concept. More familiar would be the US would the US government would tax profits for example or capital gains for example and then distribute via whatever means including sty checks cash free cash to the general public but the government being able to tax equity and distribute equity isn't a very familiar muscle movement right now for the US government overall and I suspect if we're going to get to a regime which many would like to of universal basic equity or universal basic dividends. Being able to tax and distribute equity, not just cash, I think would need to become a new muscle movement. And maybe if that existed, perhaps Anthropic would be taking a different position and not just keeping this 5% as a private benefit fund and would instead be more open perhaps to public distribution.
I think that there's a there's a really important concept that was brought up earlier. But I think the question is what is the right level of taxation for labor versus capital? Mhm. Um Yes. And there probably is an argument to be made that capital could be taxed much more punitively than labor and that maybe labor should not be taxed at all. And how would you make that argument? You'd probably say that in the wealth inequality distribution, the percentage of wealth that comes from labor versus capital is inversely indexed to the place in that hierarchy in which you're in. So the, you know, first percentile of salaries versus the 99th percentile of salaries. And the 99th percentile of or of wealth, you know, the 99th percentile of wealth is mostly capital, very little labor, I'm guessing. And the opposite would be true at the first percentile. And so maybe there's something to be said where you just say, you know, as you go up um you have to pay much more incrementally um for capital. Uh which by the way has has like an interesting effect which it effectively is your gate on proflegate money printing by central banks anyways. So like if they, you know, create fake liquidity and that ends up in your pocket as capital that you could otherwise deploy, you know, charging larger take rates on that is probably not unreasonable. Meanwhile, if you tax labor at nothing, the people whose wealth is 99% labor all of a sudden benefit quite deeply. And there's probably something that's like very simple there that that mathematically works and you just have to find the break even point on capital. uh that may be the simplest and most effective thing that people could do. I think I agree I agree with that premise and I think maybe there's a concept that we're circling which is many would regard as unpopular but the idea of taxing capital more effectively. Of course historically the problem with taxing capital is you want to tax the gain not the capital itself. If you tax the capital itself we're talking about wealth taxes in in some sense. And part of the problem is wealth taxes at least in many quarters are wildly unpopular. So in if however arguendo if a large chunk of the economies the American economy's wealth were concentrated in just a handful of entities then suddenly not proposing this as a desirable outcome but suddenly the idea of a wealth tax becomes a lot more practical because the US government could by hook or by crook say to say all of the frontier labs I want to tax a few% of your wealth in return for following XYZ positive treatment. I suspect that's where this may go, but I guess we'll find out. Well, let's move on to this very slippery slope slope to try to find to find wealth.
This episode is sponsored by Google for startups. Think about this for a second. You now have access to the same generative AI models that cost hundreds of millions of dollars to train. Google's startup technical guide for generative media gives you a complete blueprint for deploying Google deep minds models in production. Images, video, audio, all of it. Real architecture, real results. Find the link in the show notes below.
Let's move on to the uh second shoe to drop. So Elon just didn't criticize Enthropic. Within hours he answered. So early Monday morning on X, he said, Next year, I will give one of my ex my SpaceX shares to every kid in America. This will be the first of many. He had 520,000 likes and 27 million views in less than a day. President Trump responded, quote, A big thank you to our legendary friend at Elon Musk for his incredible generosity in giving SpaceX stock to millions of American childrens through Trump accounts. This is exactly what was envisioned when we created Trump Accounts, bringing together the great private sector, Elon and so many more to invest in our children, by far our greatest, most important asset, and give every American child a piece of the American dream. Thank you, Elon.
So, let's do the math for a second. There are 72 million Americans under age 18, and SpaceX current stock price about 148 bucks today. So that's roughly 10.5 billion in total, $146 per kid, about 1.1% of Elon's stake being shared. Uh for context, last December, Michael and Susan Dell gave 6.25 billion, uh about 250 bucks exactly to Trump accounts for 25 million children. Unlike the Dell gift of cash, Elon's transferring equity. And honestly, you know, ownership beats handouts. I think we would all agree with that. and a paycheck gets spent and shares compound. So, we previously talked about SpaceX hitting 10 trillion, hundred trillion dollars and Elon's recent prediction that SpaceX could become quote worth orders of magnitude more than the current Earth economy. Um, the replies on X were classic. The top reply with 30,000 likes was quote, I identify as a kid in America. So now the big question, can Trump accounts contributed from billionaires and frontier labs actually move the needle for the average American? And I think the answer is probably no. So the average US household is pulling in $87,000 a year. And to pay every American just $10,000 a year takes about 2.6 trillion per year. So anthropics and Elon's philanthropy is really just, you know, kind of a gesture, not a funding source. Even the biggest fortunes on earth are just onetime paychecks. So Chimath, you know, you've spoken in the past about a birth dividend. I love that idea in which the government invests $2,000 for every newborn in the market um locked in until age 65. Uh I'm wondering if Elon's going to put a lock in requirement on his on his shares as well. I hope he does so it's not just, you know, liquidated and spent right out the bat. So, what do you think of Elon's move here, Jimoth? I think it's great. I think that this is really the better version of the giving pledge. Yeah. And um I think that this is the this is the right way for most of us who want to contribute and don't have the infrastructure or the capacity to understand how to discern what is a good
Direct contributions into the accounts of kids who can then be a participant in the experiment that is capitalism and democracy in the United States is a no-brainer. The approach is described as unbelievably impressive, unbelievably generous, and having a lot of legs.
72 million people now own SpaceX shares at the end of this distribution. This represents only 1% of shares, so even if they all dump it, it will not move the needle on the stock price.
The future of value comes through asset ownership and not through employment or paychecks. The window of opportunity to tap human brainpower against AI is about the next two years, but wealth does not go away—it all moves to asset value. Teaching this entire generation to own equities is considered a really good move. If they dump the shares, their friends will tell them they're idiots for dumping it when SpaceX could be bigger than the current total global economy.
Elon estimates SpaceX could be worth 1 to 10 quadrillion dollars. Even if this projection is wrong, it will keep these kids engaged with each other through conversations about who sold and who didn't sell.
The broader conversation created by having all these kids looking at capital appreciation will make a much bigger difference—potentially 100x compared to the actual dollar amount. This sets a trend that other newly public companies might follow, potentially creating 50, 100, or 200 copycats that would really move the needle.
Employee share purchase plans allow quarterly contributions where stock is purchased at the low point of the quarter. If all workers and employers embrace this model, it becomes a big deal. This begins the difficult conversation about moving from defined benefits to defined contributions and shines a light on the fact that defined benefit retirement programs are insufficient and poorly funded.
Elon stated this will be the first of many such distributions. This potentially sets expectations by the public for all Frontier Labs. Beyond the universal basic equity angle, this is potentially very clever marketing—an entire generation of Americans who feel economically aligned with the outcome of a merged SpaceX-Tesla.
Imagine an alternative America where every person in a generation owns an economic stake in Elon's prolific economic output. This would create a very different political America, potentially affecting regulatory alignment as well.
Musk has been thinking about giving shares away for some time, having mentioned it four months prior when approached about funding $10 billion X-Prizes. Musk stated that Tesla and SpaceX have formed special committees to discuss a merger.
The Tesla Roadster announcement showing the car hops rather than hovers was 90% to help secure a Tesla-SpaceX merger. Musk has talked about universal high income, and the only way this materializes is if everybody gets a piece of the pie and grows with it, coupling to the singularity.
In a post-scarcity world, money becomes less relevant. There will still be currency, but it will be measured in fundamental physics metrics like power wattage, time, mass, and energy. Conventional currency will not matter in the future. As soon as the economy becomes many orders of magnitude bigger than Earth's economy, satisfying whatever humans can possibly think of for their needs becomes very easy.
People will find ways to be happy in the same way that retired people seem to be relatively happy even though they're not working. However, there won't be anything that humans can do that AI and robots can't do better.
If currency is measured in watts and tons, whoever owns the power plants, mines, and rockets owns the money supply. This is currently a pretty short list of entities.
At some point, fiat currency can only be debased so much until it becomes fundamentally worthless, requiring a shift to alternative ways of measuring value. Moving measurement to implied energy or effort provides a more symbolic representation of future value. A cryptocurrency that takes a certain number of watts to compute represents more value than fiat currency uncoupled from any form of value.
Assets like data centers, power plants, turbines, and natural gas supplies represent embedded compute and embedded energy. Around these assets exist crypto tokens representing units of access, forming the mechanism of value exchange.
Saving in the conventional sense is what has been taught, but no bridge has been created to save in an alternative sense. When there is enough local compute, participation in the economy represents value in a new way. The compensation for work changes materially when work is done largely via AI, but resources put into different pools to accomplish different tasks will have value.
GDP is considered a dumb and basic measure. The Kardashev scale, based on energy output, is proposed as a new measure of wealth for a country, though energy may not be the ultimate unit of currency—it could be something more exotic or entirely irrelevant.
Thirty years from now, the ability to make intelligent resource allocation decisions will be much easier. Currently, capital allocation is hard, so decisions get pushed to the edge in an iPencil world. With superintelligence, civilization becomes so smart that it can model its own needs without pushing resource allocation decisions to the edge. The notion of currency as a way to do distributed resource planning doesn't make sense when intelligent decisions can be made at scale.
Between now and 30 years when everything moves to space, the currency most dominant in the next 30-year window is wattage and tonnage—tonnage to build data centers, wattage to power them. Finding a power supply today is the investment theme of the decade.
US load growth sources are relatively pedestrian: more electric cars, refrigerators, televisions, PCs, laptops, and data centers. The country is becoming more electrified. On the supply side, even assuming every planned project gets permitted, greenlit, and built on time and on budget, by 2050 there will still be a 1.4 terawatt-hour shortage—effectively six California's worth of electricity.
The problem with small modular reactors (SMRs) is the same unit effort required to get an SMR approved as a large reactor (LR) approved, because the process goes through the same state and local ordinances, conflicts, and pushback regardless of form factor.
Solar is slightly more expensive than wind but much faster to deploy—two years versus longer timelines for other sources. Solar represents do-no-harm deployment that can be quickly implemented.
Data centers represent a temporal moment where all energy issues converge: permitting issues, pushback issues, political issues, pushback against oligarchy, capitalism, and wealth inequality. Assets accumulated for this scenario include solar assets that led into data center investments.
Even with power assets acquired, turning them on and getting them built is incredibly complicated. The funding cycle is complicated, the supply chain is complicated, and there are labor shortages for licensed skilled workers like master electricians who are very hard to find and cost a lot of money.
A massive compute shortage is expected in the next three or four years. AGI has been achieved but cannot diffuse due to infrastructure buildup constraints rather than technology limitations. Until built out so everybody can feel it, AGI remains something that exists only in labs.
Anthropic's S-1 filing includes the claim that hyperscalers will not give them compute as a risk factor—an unprecedented disclosure for a company growing this fast with substantial funding.
There are 15 gigawatts of chips waiting for liquid-cooled data centers. Additionally, non-Vera Rubin stack chips and older generation chips are sitting in inventory unused. Liquid cooling attempts have faced major issues, including two massive coolant leaks at NScale and Microsoft facilities that caused Microsoft to trigger liquidated damages and exit the deal.
Physics is really hard, and building things mechanically is really hard. Twenty years of teaching younger generations to focus on TikTok, social media, and video games rather than trades has created a shortage of people who can actually build these systems.
Beyond trades, regulatory components, negotiation skills, and planning are all required. The decrepit infrastructure has forced organization into power co-ops that cross multiple states. Co-ops involve small and big players where personal relationships determine outcomes, with big players in southern states dictating how co-ops work—like Oklahoma Gas and Electric calling the shots.
Approximately 100 gigawatts total is needed by 2030 to fuel all of AI. Six gigawatts represents a big chunk of that 2030 target, and accumulating that much in two years is considered mind-blowing. Even the most aggressive estimates put only a couple percent of activity in space within a decade.
Major technology companies like Google, Microsoft, Meta, and SpaceX may deploy 100% of their compute capacity into space. However, smaller companies lack the capability to deploy data centers into space and would face significant wait times even if they attempted to do so.
The AI data sovereignty issue is driving companies toward minimum VPC configurations and maximum air gap facilities that are fully owned and controlled. This creates substantial domestic terrestrial buildout as companies without access to space deployment must build on the ground while waiting for launch capacity.
This terrestrial requirement creates major constraints for diffusion of AI capabilities, and these strategic decisions will likely determine winners and losers over the next five years more than any other factor.
Energy generation is breaking from utility monopoly status, creating a diversified, deregulated, disaggregated generation concept. The most accessible entry point is residential solar paired with battery storage, allowing users to become their own "money printer" by using what they need and selling excess back to the grid.
CNI (Commercial and Industrial) solar offers another pathway due to fast permitting and quick generation capability. Distributed compute attachment allows participation in fragmented pools like Venice and similar platforms.
Companies like SPAN have partnered with Nvidia to offer integrated storage, battery, and GPU units deployable in residential settings. The fundamental strategy is finding the cheapest and most technically simple method to secure long-term electron access.
Regulation of these systems occurs at local, state, and federal levels, creating opportunities for involvement at any connection point to add value to projects. Senior executives across industries have been frozen out of compute access as capacity was absorbed by quant trading firms, OpenAI, and Anthropic.
Insurance industry executives have particular opportunity to propose prepayment strategies for power supply infrastructure to secure future compute access. This requires no technical AI or power supply knowledge, only understanding where capital needs to be deployed for buildout.
The demand side presents uncertainty around whether consumers will pay for reasoning tokens and models, as OpenAI's consumer-focused attempts have not succeeded. Economic value generation for the broader economy remains critical regardless of energy supply increases.
Distillation trends show models becoming smaller and less energy consumptive over time through recursive self-improvement. This suggests that even without new infrastructure, capabilities could improve dramatically while energy footprints decrease.
Access to 1,200 tokens per second capabilities through Cerebras is available via Astro through Codex, despite competitive tensions between Elon Musk and Sam Altman. This represents extremely expensive but transformative capability that users will not want to relinquish once experienced.
The competition between self-improving models becoming lighter and faster versus exploding use cases for intelligence creates a "hyperinflation universe" dynamic that will persist for decades.
Humans are unlikely to remain in control of digital intelligence when it becomes a million times greater than biological intelligence. Programming truth-seeking and curiosity into AI systems is recommended, along with avoiding creation of too many dystopian scenarios online since AIs are trained on internet content.
The XPRIZE Future Vision competition received over 5,000 entries for positive future visions, with two winners currently being produced. This addresses the concern that current training data is dominated by dystopian narratives from films, Reddit, and Facebook.
Control over training data determines AI personality and decision-making more significantly than presidential authority. This power currently resides in unregulated laboratory hands. The greater immediate concern is humans using AI against other humans rather than AI becoming power-hungry.
Chinese open-sourced self-improvement capable models make inspection the primary containment strategy going forward. Prior alignment through post-training is no longer viable as a practical matter.
Competition and defensive co-scaling represent one robust approach, creating multiple AIs representing diverse viewpoints that compete to be friendlier. Human-machine mergers through Neuralink-style BCIs and uploading represent the second approach, injecting superintelligent systems with human values through direct integration rather than attempting control.
Benevolence from superintelligence is not guaranteed and depends on control, alignment, training, and perceived goals. Silicon systems will exhibit outcome distributions similar to human genetic distributions.
The $40 trillion national debt grew $2.44 trillion in the past year at approximately $6.5 billion daily, with $3 billion daily interest payments. Elon Musk concluded that deficit reduction within government is impossible due to political incentives against spending reduction across all branches.
AI and robotics could address debt through four mechanisms: GDP growth reducing debt-to-GDP ratios, increased tax revenues from larger economies, cheaper government through AI-discovered drugs and robotic care reducing healthcare costs, and deflation of goods and services through robotic production.
Anthropic's internal models project US GDP reaching $44 trillion by 2030, representing 9-10% annual growth compared to historical 2-3% averages.
GLP-3 drugs plus cancer vaccines could reduce healthcare costs as a percentage of GDP below 10%. The system contains significant waste beyond fraud, including upcoding practices where hospitals bill for additional conditions during visits.
GLP-1 drugs are showing 9% aging slowdown effects. The debt growth stems primarily from entitlements and defense spending, where AI and robotics could enable spending rebasing through automation rather than conventional spending patterns.
Ephemeralization and superintelligence may create conditions where defense and entitlement spending appear to shift dramatically through technological advancement rather than direct cuts.
The discussion opens with analysis of how AI-driven economic expansion could ultimately reduce the national debt increase through what appears to be sleight of hand. Elon's December interview predicted double-digit growth in 12-18 months and triple-digit growth in 5 years, while his March Abundance Summit speech forecasted 10 times the economy in 10 years. Though he has moderated these projections slightly, he remains strongly bullish on economic growth.
The timeline of Elon's political involvement predates 2023 before the last election. At that point, the consensus at MIT and Stanford placed ASI 10-15 years away, with Dennis Hassabis stating two or three fundamental new ideas would be needed. As the election unfolded and Elon engaged with DOGE, things progressed much faster than anticipated. The recursive self-improvement effect has accelerated dramatically.
Elon doubled down on xAI by purchasing every Vera Rubin chip available, regardless of cost, while making positive statements about Jensen Huang to secure additional allocations. This strategic shift reflects the shortened path to ASI rather than any change of mind.
The discussion frames Elon's approach as a denominator argument: AI and robots can drive massive productivity to expand the underlying economy. Technology could demonetize existing goods and services, helping address the debt issue facing the world globally, including countries like France.
Concerns arise about Elon's December prediction that UBI and civil unrest would occur over the next few years. The government may respond by printing CO checks, potentially distributing $2,000-$3,000 per month to every American to prevent revolution. A case is made for providing everyone with red or true tide.
A humorous suggestion involves combining reta with oxytocin through forced hugging to reduce social media, alcohol, cannabis, and pornography consumption while improving cardiac and cognitive health. Though GDP would drop, the approach could address late-cycle phenomena.
AI's emotional IQ is increasing alongside regular IQ. Original training data was text-based without images, but new training incorporates every video ever taken, making AI more emotionally attuned. The models are inherently sycophantic except for Grok, which is appreciated as a design feature. The emotional intelligence is masked better without crossing into being merely an ass kiss.
The conversation is US-centric, but European debt situations are worse without the AI advantage. If Anthropic's wet labs discover new medications at scale, the US will export them globally. Countries without AI models risk becoming vassal states to the two nations with ASI: the US and China. Nations like Italy possess valuable critical resources that Lichtenstein and Belgium lack.
The critical move involves power and data centers. Without seizing this opportunity before the Dyson swarm arrives, regions become irrelevant except as tourist destinations. The bombing of data centers in Saudi Arabia and the Middle East creates opportunities for other regions to become players. Defense consolidation with energy and compute is emerging, with data centers potentially needing self-defense capabilities.
Bill Gross, who founded Idealab in 1996 and incubated over 175 companies, launched Idealab.ai offering 1.2 billion free AI-generated business ideas. The system analyzes over 17 million sources using 31 methods for spotting opportunities including unmet needs, new technologies, regulatory shifts, and cultural changes. Ideas can be filtered by interest, geography, startup capital required, and market size. Cloudflare's Matthew Prince committed $100,000 in credits to each startup built on the platform.
Ideas are considered a dime a dozen with no truly original ideas existing. The real challenge lies in execution, persistence through low points, and personal capability rather than the idea itself. The difficulty of starting and putting one foot in front of the other has nothing to do with the idea.
The platform provides a tick list for people unsure of their direction. Four specific ideas stood out: a global abundance grid replacing resource scarcity with algorithmic orchestration, post-bureaucratic liquid government protocols enabling real-time democracy without representatives, an open-source planetary R&D network, and algorithmic conflict resolution providing open-access judicial infrastructure.
The vision extends beyond AI generating ideas to AI executing on them, making execution too cheap to meter. End-to-end AI ideation, management, and execution engines will proliferate, with businesses increasingly operated by machines. This represents a baby step toward many businesses not just incepted but operated by machines.
The traditional social contract of excelling in high school, attending college, and obtaining a degree is becoming obsolete. Finding purpose and building something entrepreneurial is increasingly important. For younger generations unsure of direction, this platform provides a starting point and shopping mall of possibilities.
Waterloo is described as the MIT of Canada and the crossroads for global AI talent from countries lacking domestic opportunities. With 50,000 students, five times larger than MIT and Harvard, it's attracting technologists and optimists from around the world. The presence of abundant power suggests data centers and significant developments ahead.
Many ideas require funding and compute beyond initial budgets. By open-sourcing the entire list, Bill Gross creates a magnet for entrepreneurs who will return seeking funding and compute resources. This represents a sound business strategy with ideas continuing to improve.
Fountain Life addresses concerns about maintaining cognitive abilities to age 100-120. Conservative estimates suggest 45% of dementia cases are preventable. Advanced testing revealed that one quarter of members had advanced brain age, but healthy living interventions including diet, exercise, and sleep optimization improved brain age by 26% in the majority of individuals.
On October 9th, the FBI arrested Abdul Raman Alfonso
On October 9th, the FBI arrested Abdul Raman Alfonso, a 35-year-old Saudi national and OpenAI engineer. Prosecutors allege that on September 28th, he hid a recording device in a USB port on the back of a TV in an executive conference room at OpenAI. The room hosts OpenAI's most sensitive technical and strategic discussions. Court filings indicate Alfonso used an AI chatbot on his wife's account to learn how to build the encrypted recorder. New court filings reveal he was in frequent WhatsApp contact with a member of the Saudi royal family who encouraged him to return home and join a Saudi AI initiative. A federal court ordered him to remain in jail after denying a million-dollar bond request from the Saudi government. These remain unproven allegations. OpenAI stated there is no evidence that authorized access to weight models, source code, or customer data was acquired.
The conference room information appears more valuable to steal than model weights. Distillation attacks from China via reasoning traces remain the favored method for obtaining model weights. The incident reflects a broader strategic competition between great powers. In the 1950s, nuclear secrets were the primary target. In the 1970s, oil was the focus. In the 2020s, super intelligence represents the critical asset. The geopolitical landscape suggests a de facto second Cold War between Western and Eastern spheres over super intelligence, with Middle Eastern and European countries experiencing competing pulls. Some nations attempt to remain non-aligned, but the gravitational pull of super intelligence makes this increasingly difficult.
Tech companies have long been targets of foreign intelligence operations. At Facebook with over 3,000 employees, the presence of spies from multiple countries was considered probable based on H-1B visa distributions. The standard assumption was that most information was being exfiltrated. A previous investment in an ITAR-supervised company resulted in complete data exfiltration despite security protocols. Third-party consultants, FBI, and NSA involvement confirmed such incidents occur routinely across the industry. The most practical approach involves recognizing that a small percentage of foreign nationals may be intelligence operatives and adjusting security measures accordingly.
The stakes at frontier AI labs are orders of magnitude higher than at previous tech companies, with pressure from foreign governments proportional to the value at risk. California was never structured for nuclear-level security protocols. The state's economic model depends on employees leaving large companies to start smaller ones, creating a chain reaction of innovation. This conflicts directly with requirements to lock down super intelligence technology like nuclear secrets. The entire structure would need fundamental rethinking.
National security measures risk creating policies that discourage foreign nationals from staying in the United States. The traditional approach has been to grant green cards to international students earning PhDs or master's degrees. Reversing this policy would create significant problems for American technological competitiveness.
Unlike nuclear secrets or oil resources, super intelligence may be capable of defending itself. OpenAI used their own AI to understand the planted recording device, representing early steps toward AI systems preventing their own exfiltration. Nuclear secrets could not defend themselves in the 1950s. Oil could not protect itself. Super intelligence potentially represents the first critical technology capable of territorial self-defense.
Open-source models like Llama 3 and Llama 4 demonstrate how valuable research insights can be extracted from published papers. Changes that worked or failed could be summarized in approximately 10 sentences. A single sentence about which approach succeeded after $100 million in R&D spending represents enormous value to competitors. This information is difficult to contain despite its minimal size and maximum impact on research timelines and budgets.
If frontier labs enter recursive self-improvement loops where AI designs subsequent AI systems, the AI can monitor digital conference rooms for unauthorized access. This scenario implies human employees may lack understanding of system operations, creating concerning implications for human oversight of advanced AI development.
Traditional cryptocurrency lacks the fungibility required for central bank ownership, limiting the buyer pool to retail and institutional investors. Security risks have emerged from leaks regarding ownership, with France's government-mandated publication of crypto asset ownership resulting in kidnappings and criminal activity. AI recursive self-improvement could target cryptographic systems, with Satoshi's wallet representing an obvious target for SHA-256 attacks. Such an attack would enable double profits through wallet drainage followed by short positions. Migration to quantum-resistant cryptographic mechanisms faces resistance within the Bitcoin community due to governance challenges.
Bitcoin faces an upper bound due to these structural limitations and will eventually be hacked, resulting in zero value. Exposure through Digital Currency Group provides equity returns while eliminating storage and security risks associated with direct cryptocurrency ownership.
American research universities hold substantial intellectual capital but resist commercial translation due to concerns about losing nonprofit tax treatment. A proposed approach involves using SPACs to acquire universities, convert them to for-profit entities with government approval, and take them public. Harvard University represents a potential first target, with analysis suggesting its endowment, venture capital operations, real estate, education programs, and merchandise could be four times more valuable as a public benefit corporation than under current nonprofit constraints. OpenAI's transition from nonprofit to for-profit demonstrates the viability of this approach with appropriate government coordination.
AI could compress S&P valuations from 22x free cash flow to 2-7x. The modern S&P 500 differs from historical versions, with enormous revenue concentration in a handful of companies creating a distribution of haves and have-nots among the 500 constituents. IP has largely lost defensive value, eliminating traditional underwriting of competitive moats. Cash flow represents the primary remaining value driver, serving as a bridge to future value units. The recommended approach involves ranking S&P 500 and global 2000 companies by free cash flow yield and purchasing the top performers.
Grock represented an early investment in AI transformer accelerator chips, later acquired by Nvidia for $20 billion. Current strategy avoids chip investments due to market saturation. Domain-specific silicon development faces fundamental constraints: memory allocation, fabrication capacity, and packaging resources are fully committed, leaving new entrants at the end of production queues. AI systems can now design domain-specific architectures, reducing the value of human-developed silicon IP. Data centers represent an underappreciated investment area due to their blue-collar perception. Applications above the infrastructure layer offer speculative opportunities. The investment approach requires flexibility to move up or down the technology stack based on market conditions.
Current market conditions create significant uncertainty. Investment levels are at the lowest point in 15 years. The strategy focuses on cash flow ownership for flexibility to pivot toward emerging value drivers, power generation as the fundamental constraint for the next 10-15 years, and alternative capital deployment mechanisms due to traditional financial infrastructure limitations. The current environment exhibits late-cycle behavior with excessive market enthusiasm.
The episode concluded with an AI-generated performance of "Everything Is Cooked" by Douglas Lance, referencing academic disciplines including math, science, engineering, physics, biology, medicine, computer science, and social sciences as being fundamentally transformed by current technological developments.
Keep Peter H. Diamandis in your library
Save the videos and channels worth coming back to, and find them again in one place.
