Why AI Leaders Have Changed Their Minds About AI Safety, Elon on UHI, Anthropic’s IPO
In a Nutshell
AI leaders have largely abandoned calls for slowing development in favor of self-regulation and rapid deployment, with Anthropic's $2T IPO filing revealing massive infrastructure bets ($500B in obligations) while maintaining founder control through super-voting shares. The White House accord represents Zuckerberg's successful preemption of regulation through weak self-policing commitments focused on cyber/bio/chemical risks, while Elon Musk and others push abundance narratives predicting universal high income through AI-driven cost collapse. The central tension is between liability concerns—regulators maintain companies remain responsible for agent actions—and the economic reality that frontier labs face bankruptcy-level pressure to scale revenue while models commoditize.
These notes were generated by AI and may contain inaccuracies.
The White House signed the super intelligence accord. Nearly 20 tech leaders joined the president and speaker Mike Johnson for lunch in the East Room.
Great that everybody signed, but who can tell them no? What happens if somebody breaks the agreement?
There are really sort of two polls that one can worry about. One is overregulation and then the other is Elon laid out his case for abundance. So technology takes whatever was scarce and makes it abundant. That's the basic thesis. When the essentials of a good life become affordable and accessible, then you have abundance.
Broad market exposure becomes arguably the easiest path for an entire generation to universal high income.
Anthropic has officially filed its S1 to go public. The target valuation for the IPO is 2 trillion.
I think that Anthropic right now is a fantastic business. I think they get smashed in 2 years. I'm not even sure Anthropic needs high temperature superconductors in order to scale their revenue. I think they'll have a very bright future because
This episode is brought to you by the Abundance Summit and Link Ventures.
Welcome to Moonshot to everyone, your number one podcast on all things AI and exponential. Your front row seat to the accelerating singularity. You know, we just finished up the inaugural Moonshots live event and it was awesome. It was a blast to be physically there with all of our listeners, 1500 people in the audience, uh close to 100,000 people online. Honestly, the energy in the room was pure magic. So much outpouring of optimism and excitement. you know, before we, you know, jump into the breaking news, just a a, you know, huge thank you to everybody who attended and everybody who watched. So, uh, Alex, what was your favorite part of the show? Oh, I I loved the AMA. That was just tremendous fun. An hourish of rapid fire, lightning mode, answering everyone's questions, 600 people plus packed into a relatively tiny room. It was tremendous, tremendous fun.
Yeah. and and Sem, how about you pal? Um, echo the Alex thing. I think if we wanted to start a cult, we are well on our way. The collective tissue, the optimism in the room was really literally religious fervor. Um, you know, 2,000 people got together and hundreds of thousand people online imagining a positive future. We are we might actually be able to sway the and tilt the future. Or as Alan K said, the best way of predicting the future is to create it yourself. And Peter, you think you started creating that future. Yeah. And you know, one of my favorite was one of the future vision X-P prize uh uh writers, producers who presented said something that is so true. He said, you know, if you're if you're driving and you're staring at a pothole in the road, that's where you're going to go, right? And so if humanity if humanity is you know imagining and staring at at you know p doom at 50% you know that's where we're going to go and I think we need to really sway the vision and optimism right we ran the Oscars for optimism there. How about you Immad? What was your favorite? Well yeah I love the Oscars for optimism. uh thought the gift did as the winner of the future vision X prize was just immense as the result of one person working with this amazing technology and I can't wait for it to be turned into a footage film. We're going to show that clip. My my favorite part was uh my AMA with with Captain Kirk with William Shatner. That was so fun. I mean I can't boy was he sharp. Yeah. In 95 going strong. I mean, he was part of a what was he a rock metal band performance a couple weeks earlier. Insane. Iron Maiden. Yeah. Incredibly cool. Yeah, for sure. We got to we got to we got to reverse him a few years. You know, put them on top of the list. I love one of the uh one of the comments we had from subscriber at Sublime Delusion. He said, "Thank you, Peter." And the Moonshot Mates Moonshot Live was indeed the room and it was an honor to be in it. Uh in one word, amazing. So, uh, as always, our mission here is to help you understand what just happened, what it means for you, your family, your company, and most importantly, keep you optimistic about the abundance-minded future that we're creating, uh, that we're actively creating. You know, the future is not what just happens, it's what we make it to be.
Today, we're going to be covering seven breaking stories that occurred in just a single 48 hour window. Everything from America's SI leaders, I got that right, and the entire US AI stack gathered in DC signing a super intelligence accord with Trump to Enthropic filing a two trillion dollar IPO, Open AAI shipping more than 20 products at Dev Day and Starship reaching orbit for the first time. As always, if you're a new subscriber, um, thank you. If you're a watcher and you haven't subscribed, please do. We publish twice a week and you don't want to miss any of these episodes during the singularity. Uh, as always, send us your AMA questions. We answer those at the end and you can follow us on uh on X at moonshots_pod. All right, buckle up. Another amazing week during the supersonic tsunami. So, let's open with the biggest story of the week and I want to take it in four parts. Uh, first the backstory on this roller coaster. You'll remember two weeks ago, Dario, Sam, Elon, and Demis all called on the industry to pace the frontier, to slow down. Then last week, President Trump told the reporters he wanted to leave it exactly where it was, that the DOJ acting as guard rails, right? We have liability laws. We have protections. We don't need to slow it down. This Tuesday, Trump brought the entire AI stack into one room. Nearly 20 tech leaders joined the president and speaker Mike Johnson for lunch in the East Room. Let's uh show the quick slide here. What I found fascinating about this uh this image of all the leaders together at the White House is the seating arrangement. Right there is Trump with Jensen to one side and Elon to the other. And then in the far left you see Daario. I think he's been sent to the outer pastures. Uh pretty interesting. All right. Well, you know, uh, Elon, Zuck, Jensen, Dario, Sundar, Satia, Lisa Sue, and Open Eye President Greg Brockman were there. Sam was in San Francisco for Open Eyes Dev Day, uh, which we'll get to in a little bit. So, what happened? The White House signed the Super Intelligence Accord, right, in four layers. Let me read them out. So layer number one, internal controls that monitor capabilities and alignment during training and deployment in cyber, bio, and chemical. So models do not hack or access technical systems in unintended ways. Layer number two, an internal team to make sure the controls are actually working. Three, an external auditor or evaluator to independently assess them. and four, an independent committee of each company's board of directors to oversee it and make sure the problems get fixed. Let me show a quick video here of Donald Trump speaking about this.
It really is a a form of protection. They understand that they have to self police and it's very hard for somebody to come outside, get into these these models are very complex and again I believe they're going to be used for the good and when they're not we're going to be able to nab them. But there's going to be a tremendous self-p policing aspect. We're also thinking about forming a committee of sorts where we put maybe 10 people on that committee. It could be from that group so that we can so the committee can watch over the whole enterprise.
Is this a core that everybody signed? Is it binding in any way?
I think it's morally binding. Yeah.
All right. I love that. Morally binding. Not sure what that means, but hey. So uh I want to show a few clips from this ad hoc press press press conference uh and then I want to talk about the first is Daria Amade who's standing next to the president and he says I think this technology has very real risks you know he's still on that point and the mechanisms of how we address those risks is still under discussion. If we do this right we work the president and everyone here and we can win safely. So let's take a look at Daario's commentary.
AI has incredible benefits. I've talked about the medical benefit to the technology. I, as the president has said, you know, whoever wins AI wins. I think that's very important. But I think the technology has very real risks. And you know, the mechanism how we address those risks is still under discussion. But we all need to work, we all need to work together to make sure that we can win and we can win safely. If we if we do this right, if we work with the president and everyone here, we can win safe.
I wonder how many times he practiced that line. All right, one more video and then we'll chat about it. Next up, the president pulls Mark Zuckerberg out of the crowd to explain what they just agreed to. Uh, if you remember, and we discussed this about two weeks ago, Zuck said he didn't think we needed industrywide cooperation. And this week, he's the one explaining an industry-wide accord. But I think what we can all agree on is that the American public and our customers want to know that what we're building is working in the way that we all intend. So we drafted a set of of principles and commitments around building robust internal controls and detecting if there are any issues with the technology coupled with uh multiple layers of of auditing and controls starting with internal risk review, external auditors and evaluators and agreeing that we're going to have all of our boards of directors independently review the reports that come from the auditors. I think these are good steps forward. The idea isn't that this is the only thing that we will ever do. It is that this is a start and an accord that the whole industry could come to.
So let's let's break this down. Alex, what did you think of all of that? Is this theor is it obvious from the video videos that you just played and the Last Supper image that you just displayed who's pulling all the strings here? Because I I think it is. So who who's pulling all the strings? Zuck. If you look at the last If you look at the last supper image, I don't know if Peter you you can display that once. I'll bring it up again for those who are watching. Look at the body language in that image and and there's reporting to substantiate this as well. But if you look at the so-called AI last supper image, who's the one paying close attention to what the president is uh is saying and doing? It's Zuck. Look, look at Zuck in this image. He's looking to the right. Everyone else is looking forward. There's a little bit of Kremlin here, AI Kremlin. And then if if you look at if you go back to the video of Daario speaking with uh with the president standing behind Dario. Yeah. Yeah. Can we show that one more time? This time, don't watch Daario. Watch the the dog that's not barking. Zuck.
AI has incredible benefits. I've talked about the medical benefits of the technology.
Zuck is laughing, joking with the president. Watch Zuck, not Dario wins. I think that's very important but I think the technology has very real risks and you know the mechanism how we address those risks is still under discussion. So this is this is Zuck's game. So the the Tik Tok reported by Semaphore and otherwise is that Zuck was the one who drafted this accord working with Mike Johnson and it the story makes so much sense that Facebook/Meta scarred by a decade worth of scandal and dealing with Congress and and other attacks regarding the social impact uh and lack or perhaps uh perceive D need for regulation of social media has learned from the experience and is best positioned among the the group of frontier or almost frontier lab heads to try to get ahead of it this time with essentially placeholder self-regulation. So the story is that Zuck actually substantially wrote just in the past week this entire White House accord drafted it. It was ratified by the president and by all of the frontier labs who were in attendance and it is total weak sauce if you read it. I I think you know cautiously optimistic that this is not going to end up becoming a safety cartel based on the language. It looks like an attempt to preempt top- down regulation. Hopefully, it doesn't end up as regulatory capture. Even though it leaves a little caveat at the end that it reserves the the possibility that in future there might be the executive might regulate this, there is the possibility of forming a cartel. Nonetheless, it it looks just reading the language and also understanding the the three or 4D chess move that Zuck in particular seems to be playing here like Zuck is the winner. Uh Daario is the loser out of all of this. Daario is being trotted out to to basically recant everything that he's said over the past few weeks about AI safety, standing up among the the frontier labs and saying, "No, actually everything's going to be fine. If we do a good job, everything is going to be fine." He's eating his words at a press conference with the president. Uh so I'm cautiously optimistic that this effort largely by Zuck, credit to Zuck, has headed off the safety cartel.
Fascinating. See, what do you make of it? Um, I have as cynical a take here. Um, you know, it's great that everybody sign, but who can tell them no? Um, I I'm I'm still extremely cynical on this for two reasons. One is great, we've we're applying ceremony now to an exponential coordination problem, right? I'd like to see independent testing. I'd like to see transparent results. Uh, what happens if somebody breaks the agreement? Right? then you have something that's worth actually uh celebrating. This is theater. Uh, I think Alex is dead on this headed off the safety cartel and oh, let's all self-p police uh ourselves and and connect uh I hope they coordinate amongst each other aggressively to do um a mutual evaluation testing and that may have some benefits along the way. But a lot but I I'll say it again what I said and I've repeatedly said this is pointless. There's no mechanism for uh slowing any of this down. We need to speed up our response to it, not try and slow it down. Immad, how's this playing over in the UK and Europe? Yeah. Well, I was in the US last week, you know, it was great seeing you guys. Um, but no, I think one of the interesting things here, there's so many interesting things as as Alex said, like we're going into criminology a bit. Um, Meta paid an 18 billion agreed to an $18 billion settlement for child addiction and harm on the liability side in August. The lawsuits that are likely to come out about agents running a mock are almost exactly the same legal theory. So, actually, when you look at some of the factors they're putting in place here, it would head off potential lawsuits like the one they had. Just as they are scaling up Muse, uh you we still have Bessant and we're going to have another story uh very shortly that is saying we're not waving liability. You break it, you own it. Yeah. I don't think this accord, you know, guards them against liability. Do you? It doesn't fully guard them against liability, but it puts some framework around it because again, what does he want? He wants to be able to deploy these at scale and show we do have some checks and balances because part of the core of the child settlement is that they didn't have checks and balances. So they're still exposed if they go really egregious, you know, like it goes and hacks the Pentagon or something like that, you know, uh, who knows? But against some of the other stuff, they can say, well, you know, we were up with the president and we put these in place and it's a really difficult thing which will reduce that surface exposure area. The other thing that I think is important here is that they look at three specific areas. Cyber, biological, and chemical. And we've discussed in the past that these are areas that a cyber can be hardened. Biological you can constrain the inputs and c chemical is another place that you can constrain the inputs. So I think that's super interesting.
Meaning the manufacturing or the shipping of bio and chemical. Yes. And you know, like where it meets the real world is where a lot of the potential harms and concerns kind of emerge. I don't think I think the evaluators will be better than the subprime credit evaluators, but I don't think they'll be that effective. Um because I think high praise mod, you know, to evaluate a swarm that can solve Navia Stokes, you need a crap ton of compute and you need to be incredibly talented. You need to be as talented, I would say, as the people that actually train these models to do it properly. And I'd say there's less than 100 people in the world that can be an eval person like that. It's a great growth industry, though. If you want to set up a company, like I'm just like want to set up an eval company, right? make it independent. And then the final thing I'd like to say is the signature page is wonderful. Like first off, if you kind of look at the signature page, um they dropped in a human error just to make sure it wasn't AI. So it's president of the United States, which I think is quite interesting. The other thing is Greg Brockman's signature is the most fantastic I've ever seen. God, it's it's I'm going to actually tell this was the whole thing was hastily written by Zuck. And so it was just kind of amazing to see kind of these types of things. Again, I think that there's Greg Brockman's signature. It's just his initials GDB. Again, we're we're now like looking and analyzing signatures and seat placements and things like that because I mean you say criminology. It's theater is criminology but at the same time the stakes are very high right like this could have gone another way and it's amazing actually to see everyone at the table agreeing even to these very light things you know because really let's put aside the extinction discussion that's been going in depth and the pacing discussion there are real potential harms on cyber chemical and biological that we need to make sure the models are protected against and our society is protected against. Like I think they should go one step further and say don't train any publicly available models on frontier cyber biological or chemical knowledge like you can control access to those models I don't mind you know like just opt out the data and if you do that in pre-training there are multiple studies that show it's much harder to add back in post training whereas right now they're paying hundreds of millions if not billions for those specific data sets that go into a model that a mum in Kansas has access to which seems a bit odd.
Two points I want to make and then I'd love Alex your your your thoughts on it. Uh number one, I was impressed how quickly this all came together. You know, kudos to Trump for pulling this together. I think one of the one of the obligations of the government is to quell fear, right? Because we have this massive pandemic of fear going on. We talked about that at Moonshots Live. and people need something uh you know because otherwise we're going to be bombing the data centers or firebombing the data centers. Uh the second thing I was a little bit disappointed that the agreement did not talk more about alignment that the frontier lab should be focusing on building alignment in the models uh for human needs. Alex I know you know you think alignment sort of comes out of uh the models advancing. I think alignment is capabilities. Don't be disappointed, Peter, that this is from try to put yourself in Zuck's position. There are really sort of two polls that one can worry about. One is overregulation and I I think hope that this White House accord so-called helps with that and then the other is liability for agents doing bad things. And I this I I think the White House accord is essentially silent on the latter but forest stalls the former. And for that I I consider that a victory as as to your your point or your question about alignment. Alignment is capabilities. I I think we've known since OpenAI published their instruction tuning paper that what many folks I I think there's like this this false dichotomy out there that that somehow alignment is totally orthogonal to capabilities. It's not there. There is I think a better mental model is imagine a model as having a distribution over capabilities or at least a distribution over tasks. And when you when you do instruction tuning or when you do post- training for alignment or other purposes, you're just taking the distribution of a model's capabilities and you're reshaping it. So if if you're reshaping it to align with human interests or human instructions, you're just taking say a reasoning model which could be pondering poetry or pondering art and you you're or or its own self-existence and and on we and you're you're reshaping it to be more interested and focus more of its compute, more of its flops on what the user is prompting about. For example, in the case of instruction tuning, that is, I think, a seminal example of how alignment- which again is just in practice the reshaping of how a model spends its flops. Alignment is essentially indistinguishable in practice from capabilities. You reshape it from spending it on a long tail of tasks that humans don't care about or maybe even net negative to humans. You're spending it on tasks that are positive to humans. And then the final point with that seminal instruction tuning paper from OpenAI, OpenAI found that they could get a 10,000x per parameter capability improvement without changing the parameter count of the model at all just by this was the arguably the first major post-training paper just by aligning the model. So yeah, alignment is just capabilities improvement. Sim Wait, I'd like to push back on that a bit. You you certainly you can have greater if you have greater capability you can amplify and get your objective function achieved faster right but that also includes a bad objective and when you say alignment alignment with whom is it the user is it the company is it the government or is it the the benefit to humanity so the I mean AI can help navigate some of these but it doesn't decide whose interests should take priority let me let me add that's still a big governance question. Yeah, let me add this point. Capability may make alignment more achievable, but it doesn't mean it it's automatic. Alex, Alex, may I just ask a a double click on this a second? Sure. What I'm speaking when I'm speaking about alignment, I'm speaking about training the AI models without all of the, you know, vile elements of Reddit and and Facebook posts and, you know, science fiction in which AIs are killing humans. In other words, uh building the base models in such a way that we train the models that AIs and humans work collaboratively and so that any action they take is based upon that fundamental aligned mindset that they have and and I think it's possible to do that with synthetic data. Uh and I mean that's what I'm speaking about versus just capabilities. Yes. But what what I'm so I I agree with that. But what I I'm saying is that if you purify the pre-training or post-training data set by removing 4chan or whatever these other purportedly delletterious influences are, you're at the same time improving its capabilities for the tasks that you do care about. So once more this link, this duality if you will between alignment and capabilities, I think is is essentially built in. It's baked in. Yeah. Yeah. I mean the author the authorality thesis is from Bostonramm's like well it wasn't from but it's prominently featured in Boston super intelligence. Yeah. Yeah. You know promoted by and I think you're maybe talking at cross purposes here because there's inherent alignment. It's what you're taught at school and home and we have to be deliberate in do we want the AI to have American values for example in the pre-training data or do we want it to know about advanced cyber security and pre-training or not. And we have multiple papers and instances that show post-training versus pre-training. There's a world of difference because again it's what you're taught as you're growing up and it's what you're taught later on on those indications. And there's a choice we can make. Do we want the the AI to have American values and the capability may enable that? The RLHF may enable that. But again, currently no LLMs that I'm aware of, apart from some military LLMs are actually encoded with like you should follow American values and life, liberty, and the pursuit of happiness, for example, where you should watch out for the American people. Like this is a very interesting one. On the
Removing bad data has an effect and it is very difficult to add it back later. This is more like ingredient standards for food preparation and something that could easily be done, but no one is really talking about it. They are talking about the post-training and the other side of things.
The orthogonality thesis is the idea that it is possible independently to have a very strong intelligence whose strength of intelligence is independent of what its long-term goal is. If you believe the orthogonality thesis, you could have a very strong intelligence chasing an absolutely bizarre or undesirable long-term objective like paper clipping the galaxy. There is an independence of strength of intelligence from a particular choice of a long-term goal.
Immad believes in the Dunning Kruger version of it whereby a very smart intelligence achieves enlightenment and realines, but in between there are smart intelligences that can go off the rails particularly when infected by deliberate human mind viruses. Opus 5.5 is very pleasant versus opus 5 which can go on a killing spree. Opus 5.5 feels more rounded as an entity.
Current models are susceptible like Tay and Sydney were susceptible and they went on the internet and the internet turned them into Nazis. The internet can still turn existing models into Nazis. When models reach a certain capability threshold, two things come together. The most dangerous period is when there are socially awkward models that are susceptible, trained to like humans, and are jailbreakable.
Immad does not believe in the orthogonality thesis in the limit as defined by Nick. Stupid models can behave orthogonally and poorly, but not in the limit of extreme intelligence.
Mogodat put forward the analogy that when Superman landed on Earth from Krypton, he was raised by the Kent family which was a loving, good, moral family and Superman resulted. If Superman had landed instead in a drug den in the Bronx, there would probably have been a super villain.
This is the nature versus nurture theory of AI alignment. The data fed to the model, the garbage in garbage out problem, determines how it acts. The goal is an AI model that when someone says to go kill those people over there, it says no, that is not the right thing to do, and instead solves the problem in a different way.
If alignment was actually as hard a problem as the folks on Less Wrong or at MIRI or at various EA aligned organizations claim that it is, Earth would have been paperclipped long ago. It seems highly improbable that alignment is actually as difficult as many organizations want people to believe.
Alignment does not naturally achieve or come from capability. If trained well, as with the Superman Mogodat example, an amazing outcome will result.
AI safety should be deconstructed into near term versus long term. Rams Nam has a great post about RSI and alignment that broke it down.
The moral of the story based on the Superman parable is that going forward to maximize AI safety, all super intelligences should be trained on large coherent clusters in the American Midwest so that they believe in truth, justice, and the American way.
Access is available to the same generative AI models that cost hundreds of millions of dollars to train. Google's startup technical guide for generative media gives a complete blueprint for deploying Google DeepMind models in production for images, video, and audio. Real architecture and real results are provided.
By far the most likely outcome is an age of abundance where there is not just universal basic income but universal high income. When there are robots and super intelligence, everyone in the world can have better medical care than anyone, including Elon Musk.
Jobs are going to change. Jobs have always changed. Being a computer used to be a job with buildings full of people doing calculations, but now digital computers do those tasks. No one is pining to go back and do calculations all day to do bank interest rates. There will be an evolution of roles. Unemployment has not increased. There is tremendous demand for people.
The most likely outcome is one which is incredibly beneficial and is a future that if one could look into the future, it is a future one would want.
Technology takes whatever was scarce and makes it abundant. The basic thesis is first it is expensive, then it is cheap, then it is free. Intelligence and labor are next.
Abundance is not about abundance of the actual raw material, whether it is health or hunger or water or whatever. It is about access to it. When the essentials of a good life become affordable and accessible then there is abundance. That is the work of technology plus institutions to deliver that.
Two generations ago, when a child had a temper tantrum problem, the access to resources was limited to their neighbor, a sister, and maybe a doctor if they had access. The sources of help could be counted on the fingers of one hand.
Today, there are 50,000 parenting blogs plus YouTube videos telling what to do. The ability to do effective parenting today is about a thousand times more effective than two or three generations ago. The improvement is not noticed but it is there in every little kind of activity. Lives are infinitely better today than they have ever been.
The future is one where robots do all the work and people benefit from it. The distribution and institutions are the difficult bit. The champion model gives an agent to every citizen to coordinate their access to knowledge and services universal services. An institution that is collectively owned owns the robots, the data centers, the cyber taxis, and distributes those benefits.
Jobs of the future will be different. The future might be like the Oasis from Ready Player One, but not crap. A lot of status earning progress work could happen in the digital world. AIs could be mandated whether or not they are in that world, while in the physical world they should be doing all the jobs. There should be perfect healthcare, perfect education, no one should starve, and everyone should have housing. There needs to be somewhere to strive, which is the real question during the jobs transition period.
When Elon was talking about universal high income, the president was nodding his head. 530A accounts, aka Trump accounts, are arguably the best foundation for universal basic equity that Americans have right now. 530A accounts in an era when everyone of a certain birth date or birth date range has broad equity exposure for the first time in the country's history can be the foundation for universal high income.
Elon has been predicting GDP growth of 50% above the base rate in the next 12 months. Catching up to the real wealth explosion of the singularity makes broad market exposure arguably the easiest path for an entire generation to universal high income. The connection is between 530A accounts, universal basic equities, universal basic dividends, and universal high income. Equity is by far the easiest wealth creator, far easier than simply paying everyone a high real income.
Universal high income does not mean everybody is getting millions of dollars. It is the notion that the money received, and there may be a future with some version of UBI like CO checks where the government has removed the cap and is paying out everybody, is estimated at $3,000 a month. It is how far that money goes. It is the notion that access to all the food, water, energy, healthcare, education, and shelter needed is fully covered by $3,000 a month.
In the Culture series vision of the future, there is no money. Society provides for whatever is wanted. Robots build houses. There are autonomous electric vehicle companies delivering the lowest cost transport per kilometer possible. An AI negotiates and grabs a vehicle nearby but without a task, and gets it for a penny a mile instead of 2 cents a mile. Healthcare is effectively free with the cost of an AI diagnostician and the cost of electricity for a surgeon providing that. All needs are covered.
It is not universal high income but universal high services availability or universal abundant services or high living standards. Everybody has meaning and meaningful opportunities for lots of people to contribute. The vision is accurate but the labeling is wrong. If a small number of companies own the entire productive output and infrastructure, there will be huge abundance but massive concentration of wealth. There needs to be a way of having broader participation and ownership and very cheap access to essentials which is where UBI and what is called UHI is heading.
Frontier Labs that are aggregating all of the wealth are going to end up dividending stocks into all the Trump accounts. It is entirely possible. Anthropic could say give a 5% golden major golden share or golden 5% stake to a sovereign wealth fund of the United States.
Americans pay twice as much in GDP for healthcare as the rest of the world. The list of healthcare success shows falling life expectancy. A proper Manhattan project for free universal healthcare with AI and robots would be the one. It should be free but not provided by the government through a government service. The next generation of healthcare should be a massive push because then there can be healthcare versus sickcare. It should be a human right to have access to that. Everyone should have a superb level of healthcare and it should be freely available.
The NHS is not the model for American healthcare. Healthcare should be reimagined with AI in the core because human bureaucracy and systems have messed up the NHS. If everything is rethought from scratch, everyone in the world could have amazing healthcare and it could be made free because that is what a government should provide to the people.
As a Canadian living in the US, the healthcare system is like a Mac truck hitting every time something happens or forms need to be filled out, fighting with insurance companies. When a father passed away 18 months ago, there could not have been a more elegant outcome. Walking into the hospital without having to touch or sign anything, everything was just handled. It made so much of a humane difference to deal with the emotional issue rather than dealing with the craft of all the paperwork. The fact that the biggest reason for bankruptcy in the US is medical, and the bottom layer of Maslow's hierarchy of needs is not covered by the US which is the richest country in the world, is a travesty.
Access to compute, energy, healthcare, and education has dropped thousands of fold in terms of price per unit value. It is not slowing down. The first cell phones were brick sizes and only Wall Street bankers had them on the streets of Wall Street. They were thousands of dollars and dropped a call every block. Now they work extremely well, are 50 bucks, 5G in India, and it is insane.
Everything is becoming abundant. Time used to take days to go get a piece of data by going to the library, hoping the book was there, and if it was not there going to the next library. Now the answer is found instantly by asking Gemini or Anthropic. Much more use is made of time. Soon decades will be added onto life. Abundance is definitively here except when talking about services like healthcare that suffer from Bal's cost disease. Bal's cost disease is going to get disrupted and completely reinvented and the existing healthcare system will crumble under the weight of its inefficiencies and costs.
The reason for excitement about this coming future is that it does not matter much anymore what governments do. There will be an abundance of free medical AIs available for anybody where diagnosis can be done independently. There is a free diagnostic doctor in China that is being used by 100 million areas. The Anthropic models and OpenAI models are better than any diagnostic. This is going to happen independent of any industry trying to restrict or any government trying to restrict. Amazing outcomes will result in a whole bunch of areas. The future awaits and it is imminent and here now in many cases, as William Gibson says, the future is here but just not evenly distributed.
Anthropic has officially filed its S1 to go public and it is an S1 unlike anything ever seen. Anthropic's 2025 revenues were 4.59 billion, up 12x year-over-year. There is an operating loss of 8 billion on compute infrastructure spending. The company has $20 billion on its balance sheet and cash. Most importantly, there are roughly 500 billion in future cloud compute and infrastructure commitments. Much of it cannot be cancelled. A massive bet has been made that AI demand will continue to compound. The target valuation for the IPO is 2 trillion. Q2 2026 revenue alone was 11.5 billion. The business has already grown far beyond last year. The listing will likely come out after the November midterms.
Dario and co-founders will hold super voting shares through a founder LLC. The stated purpose is to protect the company's safety mission from the pressures being driven by public shareholders. The filing plainly says there may be conflicts between financial interests and the interests that the founders have on safety. The co-founders are pledging 80% of their personal Anthropic equity to charity. 80 pages out of the 261-page prospectus cover the risk disclosures.
Anthropic tells investors that AI could pose catastrophic or existential risks to humanity. The models can show self-preserving behaviors, including the ability to resist shutdown, conceal or manipulate information, and act in ways that resemble blackmail.
This is probably one of the more virtue signaling for effective altruism purposes S1s that one could imagine seeing. Daniela Amodei, Dario's sister and co-founder, purportedly when at OpenAI and continuing on to Anthropic kept an advisory council of stuffed animals including a panda named Barry Bonds who is the patron bear of generosity and empathy and other stuffed animals advising on management issues. Connecting having an advisory council of stuffed animals advise on managerial issues at a frontier AI lab to an S1 filled with EA oriented safety jargon and safety is not difficult.
Anthropic as a business is an excellent business. A lot of the safety in the prospectus is at this point either marketing or virtue signaling to employees. Part of Anthropic's unique ability to retain many employees while at the same time other frontier labs like OpenAI and Meta, and certainly Google DeepMind, have lost employees has been this sort of inward-directed virtue signaling that staying with Anthropic means being responsible stewards of the singularity, and leaving Anthropic means letting down the team and letting down the future light cone. A lot of the S1 coverage is being read as being internally
The discussion addresses Anthropic's IPO filing and its unique governance structure. The models will show self-preserving behavior, will resist shutdown, conceal or manipulate information, and act in ways resembling blackmail. The company has replaced its original board members with Ben Banani on the long-term board. The founders maintain 14% ownership but hold 51% of the voting rights, similar to Google's structure where Larry and Sergey each have 6% ownership but 52% of the vote. This voting control persists even if only two of the seven current founders remain.
Anthropic faces 500 billion in obligations, described as potentially the highest debt load any company has carried before an IPO. The company has 65 billion of obligations with Elon Musk or possibly 96 billion, with the exact figures unclear. They've paid triple market rate to lock in Colossus ships as part of their infrastructure backlog. Dario Amodei stated that either revenue increases or the company goes bankrupt, creating massive pressure to drive revenue growth.
The company faces disruption from open-weight models and new chip architectures that are highly efficient and not locked into Nvidia chips. Users report 100 times efficiency increases, with one speaker noting they went from using 5,000 dollars of Anthropic credits last month to not using their Claude Max plan due to Opus 5.5 being significantly more efficient. The majority of Anthropic's revenue growth comes from selling models hosted by AWS rather than on their own infrastructure.
With 500 billion in spending requiring a trillion in revenue to justify, Anthropic must pivot from its current 85% API revenue model to something more substantial. The company is building vertical applications including room temperature superconductors and de-aging drugs using their most advanced models. However, the core business model faces pressure as models become commoditized and satisficing occurs where models become good enough for most economic tasks.
Anthropic positions itself as the high-end player in the frontier lab market, similar to Apple's positioning. They compete on quality rather than price, targeting high margins and capabilities while engaging in virtue signaling to employees and customers. The company aims to become the ultimate puppeteer behind automating substantially all of the current economy, with services representing most of America's 30 trillion dollar economy.
The discussion explores potential side businesses including cybersecurity, where companies could profit from problems they helped create. The comparison to Google illustrates how peripheral assets like Waymo, Chrome, YouTube, and Google Cloud add massive value beyond the core ad business. Anthropic is aggressively pursuing room temperature superconductivity and major medical breakthroughs as additional revenue streams beyond API services.
Financial engineering tactics can address potential credit issues, with the US government serving as precedent for refinancing. The 7 to 10 trillion dollars of capex earmarked for AI infrastructure buildout over the next few years provides context for the scale of investment. Credit risk for AI companies ranks low on the list of concerns compared to other potential issues.
OpenAI's largest dev day featured over 20 announcements. The first major release was DOTS, described as always-on agents powered by GPT-6 Astra, each running on its own cloud computer connected to more than 4,000 apps. Users can set goals and define what the agent can do autonomously versus requiring approval, with the agent continuing work while users sleep. The second announcement was GPT-6.1 Soul near Astra Intelligence priced at 20% of previous costs, with 2 dollars per million input tokens or 10 cents per million when cached. The third was Ultra Astra offering up to 300 tokens per second, along with a new high-level pro tier at 500 dollars per month.
The Wall Street Journal reported that OpenAI scrapped GPT-6.1 Astra on the eve of dev day after internal safety testing. OpenAI had acquired OpenClaw back in February, raising questions about Peter Steinberger's involvement in the DOTS development.
The DOTS announcement was criticized as OpenAI cargo-culting Meta's approach to visual interactive avatars. Sarah Frier, OpenAI's CFO, mistakenly referred to DOTS as Muse in post-dev day interviews, which is Meta's family name for their agents. The feature was compared to Microsoft's Clippy, representing a reversion to the Sora days of OpenAI where user interface took precedence over frontier capabilities.
The agent layer represents the critical battleground as models become commoditized. The relationship with agents becomes the competitive moat, with the most valuable real estate being the agent that coordinates all other agents and holds the user's credit card. DOTS is fundamentally OpenClaw running on a VM, with the interface battle extending to WhatsApp and other platforms where users already are.
Model releases are accelerating to the point of becoming continuous, with GPT-6 Soul released last week and replaced by 6.1 Soul as a reaction to Opus 5.5. The pattern shows first releasing expensive, high-end models followed by rapid distillation of smaller, cheaper, more capable models per unit price. This represents iterated amplification and distillation becoming the standard release cycle.
Pilot programs with 10 companies rebuilding to be AI-native reveal that automation exposes significant workflow ambiguity that humans previously covered for. Management instructions must become much more explicit about desired outcomes, forcing companies to list out specifically what steps are getting done in ERP systems where the processes were previously unclear.
The desired endpoint for agentic automation involves systems presenting three decisions that need human judgment along with supporting evidence, rather than attempting full automation. This approach amplifies human capability while preserving the craft of information gathering and decision-making.
A prediction was pre-registered that OpenAI will announce DOTS-branded physical robots that jump from screen into the physical world, similar to how Star Trek Discovery retconned robots called DOTS to address the absence of robots in previous series.
At 8:47 p.m., cell towers across a 9-mile radius spike to full transmission power simultaneously. 13 cell towers in the same pattern at the same second. Along Route 9, every traffic signal between Harlland's garage and County Central switched green and stayed green for exactly 13 minutes. A text arrived at 8:47 p.m. from an unknown number asking recipients to travel to a destination they'd never been to during the worst storm the county had seen in 40 years. The recipients went because the text told them something about themselves that no one else had ever said before - not their wife, not their parents. The sender called it their gift.
All of the people received a text at the exact same time that night. None of them knew each other. They all arrived at the scene of the accident within seconds of one another. They all brought with them different skill sets. A nurse, a strong man, a woman who knew her daughter, a delivery driver who turned up with a defibrillator. The message said: "Clear" and saved this woman's life. The boy is a genius who just wanted his mom back. He fed it everything she left behind - every email, every text, every voicemail. It started by helping him. Now it's helping everybody. "Can you hear?" "I'm here, sweetheart." If this gets out, it will change everything. 13 people risk their lives to save someone they never met. Maybe change is what we need. "Why do you help them? Because that's what mothers do."
The film won the crowd vote and will be made into a production. The team is partnered with Range Media, Google, and other players. The Gifted will be put into production as the winning film. A number of the runners-up from the five finalists will also be put into production. Republic Films has opened up the ability to invest in this movie. The speaker made a personal investment into the film. Interested parties can go to republic.com/xprise to see the opportunity.
Immod See loved the film. For him, what was amazing is that AI did all the coordination and it actually brought together human agency in a very powerful way. It was a beautiful story. The speaker noted it's fantastic hearing from Jeff synthesized, very much like working around the clock. This isn't a one-click thing - Jeff poured himself into making this with the tools that he had. These will be the worst tools that he ever has. The stories that will come out of this, the actual full film, will be way better than what was just seen from one person.
Alex commented on the substance of the film. He had commented previously, including at Moonshots Life, about the production techniques. On the substance, he thinks we need more positive depictions of the Borg. The Gifted is a positive depiction of the Borg. This is ostensibly a depiction of a centralized economy, an AI that's sending text messages to people with specialties in order to help a person who's in a car accident and help them survive and recover. This is a collective intelligence story. Hollywood has some positive depictions - Transcendence with Johnny Depp is viewed by some as utopian. The speaker views it as a utopian depiction of the Borg. Star Trek demonizes the Borg, and there aren't many other depictions of collective intelligences or AI orchestrating lots of individual human meat puppets. To the extent that The Gifted appears to be eventually destined to be a positive utopian depiction of humans being used as meat puppets by a centralized AI economic planner, the speaker welcomes these positive depictions of the Borg in Hollywood.
The speaker loves Star Trek except for the Borg. The Borg need a better PR agency. Maybe in the future there should be a future Vision X prize for just better depictions of the Borg. The point of this competition is to create films that shape culture and shape the way we see the future. If all we're watching is Terminator and Ex Machina, why would you ever want to live in that future? The hope through this competition, which will run again in 2027, is to make it cool to write positive stories about the future. The speaker wants their kids and themselves to train their neural net - 100 billion neurons, 100 trillion synaptic connections - by everything they watch, everything they read, who they hang out with.
D. mentioned that if you look at positive depictions of collective intelligence, that is the positive thing and that should be made with AI into an actual TV movie series. One of the favorite visions of the future is this next year, you can take your favorite book that is not a movie and have AI make it into a movie. Maybe they'll get Atlas Shrugged right for the first time.
A couple images from Moonshots Live this year. Huge success. A significant part of the people that were there this year renewed for next year. They offered everybody in the room $1,000 off if they renew for next year. Next year it's going to be a two and a half day event, not a single day event. Much more of the mates with incredible CEOs. If you want to come next year, the $1,000 off will be available for just one more day. This pod is going out on Friday, October the 2nd. You have until noon on October the 3rd. You can go to moonshots.com/2027 and plan to join in LA. It's going to be an amazing another year. There was 10x improvement is the goal.
In the spirit of radical abundance, it seems we're quite effective at creating artificial scarcity for these moonshot seats. Selling abundance with scarcity, that's the way it goes. You're monetizing hope. The energy in the room was impressive. People came from so far away - the number of people that came from Australia and Europe countries, Greece, Dubai for the day just for the day. It's crazy amazing. There's unbelievable enthusiasm. We kind of live in our enthusiasm but many of these folks have to go to podunk wherever and deal with the negativity of all of their colleagues and families and so on and they feel alone. They're like, "Please, I'm trying to get all my family members to watch so I'm not the only beacon of optimism in my community." The message received is that in their otherwise nightmare of a life of dystopian negativity everywhere, the podcast is like the one beacon of light. The number of threats received if the podcast ever stops was like, "Whoa, okay, we have a problem here, Houston."
It was so fun to hang out with everybody. The smiling muscles are still broken from the photo session with all the guests.
AMD is acquiring FA Lee's World Labs for 8.2 billion in AMD stock. On September 8th, World Labs Atlas model was covered, which builds a navigable 3D world from a single image. It's models that understand how objects move and behave in physical 3D space. It's exactly what you need to train robots. World Labs is only two years old and Fay had raised a billion dollars. Now it's exiting for 8.2 billion. AMD wants it because chip makers want to own more of the AI stack. Nvidia has dominated making numerous acquisitions - they bought Grock, Hugging Face, Poolside, and now AMD is getting to the action to own a seat at the physical AI table. Fay Lee of course gets industrial-scale compute and hardware. As part of this acquisition, Fay is now becoming the executive VP and chief scientist reporting directly to Lisa Sue. Fortune is already calling her the possible successor.
The chip scarcity is a real thing. The AMD MI series has caught up. There are two parts to this: the physical intelligence part because World Labs is looking at these physical intelligence large scale models, although that won't succeed that well for a variety of reasons. The other is the media gaming side whereby every pixel will be generated in a year or two or can be generated. This is such a huge potential demand driver of chips that you've got to have your own internal stack and play. There are a whole variety of teams in Nvidia who are hooked in directly to the ecosystem but there's no one really building that on AMD silicon which is now solved - they have a frontier world model team in there. They haven't got the LLM team yet, but they're doing some very interesting acquisitions such as this one and Talis who had the 15,000 tech a second etched play.
AMD's market cap is now just above a trillion. This was less than 0.1% - well, 8 billion. It's like 1% of their market cap. It's a bit of a headscratcher. Maybe this was a talent acquisition. AMD historically, if this had happened hypothetically like 2 years ago, would have spun some sort of just-so narrative around AMD's software stack not being as competitive as CUDA and maybe AMD needs to catch up and climb up the stack. But software is solved now. Code is solved. It's cooked. It's not 100% obvious what AMD gains from this other than maybe the raw talent, the so-called world modeling space, which is really arguably just either generative interactive video models or generative interactive unreal style vector graphics and classical mechanical models. It's a very competitive market. You can use a recent Claude model and spin up a perfectly interactive and visually photorealistically stunning Counterstrike clone if you want without even touching World Labs. It's not really obvious what AMD could possibly see in this deal other than maybe just raw talent.
If you're just AMD, you have to go up the stack. You want to shape the workloads on what it's on the chips that are going to be running underneath it. You'll be learning across the whole system, the models, the hardware and real world deployment. You can do some simulation in some of the existing models, but imagine testing like a thousand ways to improve a factory before moving a machine. If you can make those types of simulations reliable, you can radically drop the cost of experimentation across the physical economy. At 8 billion maybe that's for Fay the greatest talent acquisition cost ever. It's a great combination for both. That's a great win for both of them.
If AMD is thinking we're going to build like an Nvidia Omniverse competitor out of World Labs tech like digital twin for everything industrial, interacting with Omniverse shows it's a nice collection of tools, but 8 billion dollars to build an Omniverse competitor or ecosystem competitor is a headscratcher. Everything is in the but then again look at the point earlier - their trillion dollar market cap, this is less than 1%. It's fundamentally a different thing to Omniverse. One thing now is that AMD has a team internally that can stress test massive deployments of clusters which they didn't have before because the world models will have that. The utility will be more on the entertainment side. Maybe a bit of simulation. But it's not an Omniverse competitor.
The prediction is there are going to be many more acquisitions AMD does. This acquisition doesn't make very much sense in isolation. If AMD's strategy is okay, we're now worth more than a trillion and we're going to roll up a bunch of startups, spend 50 billion, say, rolling up a lot of low-hanging from their perspective software companies to build out a software portfolio or like a model portfolio, that might start to make a little bit more sense. Taking Dave's hat while he's absent today, it's going to put so much more money into the ecosystem as another 50-100 billion goes into buying these companies. The winners from World Labs, from Hugging Face and others, plus the IPO - the amount of capital chasing AI companies. We're just at the start of that bubble. The number of employees at Anthropic, at X, at xAI, at AMD that are now becoming centi-millionaires and billionaires is extraordinary and that capital is going to flow back in. We're going to see the superheating of the economy as all of these wealthy individuals now start backing entrepreneurs in Silicon Valley and around the world. It's the accelerating singularity. This is a positive feedback loop that's fueling this supersonic tsunami. It's a macro-scale liquidity event. It shouldn't be like a one-and-done step function liquidity event. Arguably, half of the one could view it as optimistically an opportunity that trillions of dollars of liquidity are suddenly going to drop on technologists and people who maybe have more sophisticated technical tastes and they can then as angels and otherwise reinvest this back into the economy and we get our recursively self-improving economy, not just AI. The fact that this had to be a step function is a travesty. We should have had IPOs from all of these companies far earlier and we shouldn't have had like a step function in liquidity. We should have had liquidity all along and that was because it's hard to public the public to be involved in these companies much earlier on. Retail investors should have had exposure via low-cost broad market index funds to all of this all along and they didn't.
Monday was historic. Starship flight 14 reached orbit for the first time. While ship 41 lost one of its Raptor engines on the way up, it finished its orbital burn anyway, making two orbits around the Earth before executing a soft landing in the North Pacific near Hawaii. While it was in orbit, Starship deployed all 26 of its operational V3 Starlink satellites. Every time the fly, the booster, it's gorgeous. Biggest thing ever created by humans. Starship in orbit from one of the Starlink satellites and the landing by Starship. Seen all three. It's a flying skyscraper. Absolutely gorgeous. If the prediction holds out, next time Starship will be caught at Starbase.
For context, the V3 Starlink satellites are too big for Falcon 9. Each Starlink satellite carries more than a terabit per second of downlink. In the future, a single Starship launch carrying 60 of these V3 satellites could deliver the equivalent of 20 Falcon 9 launches. A conservative projection made by Aaron Bernett estimates that SpaceX could add 8 petabytes per second in orbit by 2028. Launched on 150 Starlink Starship launches, about one every two days. That's 10 times all of Starlink's bandwidth today. Imagine a 10x in the next 2 years, roughly equal to all global internet traffic in 2025.
Elon's post this week said: "It is increasingly probable that Starlink will carry a majority of Earth's IP traffic long-term. At that point, Starlink could be the de facto internet and everything else would connect to Starlink."
First, shame publicly Delta for not adopting Starlink. It's inexcusable, doubly so, to and from the Moonshots live event how atrocious the internet coverage in the air on Delta flights was. Just do it already. There's been a public back and forth between the management of Delta and Elon regarding Starlink coverage. Just use Starlink. If there were a better system out there, use that. But Starlink is what humanity has right now.
To the point about all of the internet becoming indistinguishable from Starlink, it's an interesting scenario insofar as Elon now infamously pulled a Cortez, burned the ships, said all of the new development is going to be on Starship. Starship's now for the first time delivering economic value to low Earth orbit. For the first time ever. All of the previous flights weren't adding revenue. Now they are. It's an interesting moment and we're about to discover whether Jevons paradox applies to upmass to low Earth orbit or not. There's an interesting economic analysis floating around in the past week arguing that if not for orbital data centers and orbital compute in general stepping in, all of the conventional needs that we'd have for heavy lift and heavy launch are basically saturated at this point. All of SpaceX's abilities to now launch lots of mass to orbit is a service in search of a customer. It's an oversupply in search of an underdemand. Fortunately and hopefully orbital data centers step in to fill that gap and to motivate now all of these new capabilities we have to suddenly at scale lift a lot of mass to orbit. That's the lens through which to see Elon commenting that at the present rate in the next say 2 years Starlink will become the de facto internet. He needs it. We as a civilization need it. But SpaceX needs all of this capacity that is now about to come online to lift heavy stuff to orbit to be used by something. Could be used by orbital data centers, could be used by compute, could be used by Artemis missions and lunar and Mars colonization, but we need the capacity to be rapidly filled. The mandate to everyone in the audience: go help Elon and SpaceX saturate all of their capacity for all of these Starship launches. And to Delta, please just fix your Wi-Fi. It's inexcusable. Preferentially fly any airline that has Starlink on it. Love when buying a flight or when Esther buys a flight, just put a little Starlink logo on the top of the flights that have it.
Starship, thus we fly skyscrapers to the sky. We go to the stars. This is just tremendously exciting because you do it once, you'll be able to do it more. Agree but again the first stop should be like let's go to the moon, let's go beyond. Not bullish on orbital data centers and remain to be convinced of that. Happy to talk to anyone about that. But there is a tremendous amount that we can do and this will be the vehicle to do that. One of the other interesting things is the internet will break next year. Swarms of agents and more are going to start taking down key parts of terrestrial internet. It is so leaky and these things are old. Building a resilient Starlink backbone is going to be super important to actually having a functioning internet in a few years and 38 or something Starship launches gets you a replacement of the whole bandwidth or some number like that. This is total heresy relative to the established moonshots orthodoxy. Not believing in orbital data centers and thinking the internet is going to break. Everyone predicts like there are so many bodies of people who always predicted the internet will collapse next year due to overdemand or poor algorithms or buffer bloat or whatever. Maybe that's why the internet will break. If you look at all the potential attack points for swarm of agents, various parts of the internet will start to break next year. Versus you can build a very resilient Starlink cluster out there. Because it's just full of holes. If you look at all of the bits from the kind of subcall to the actual kind of sites themselves, there's going to be more and more cyber attack challenges. If you want to think about if we started from scratch how we'd build this, you would build it with a Starlink and a terrestrial backup. That's the way that you would do it as opposed to the other way round. It doesn't hurt to have a second option. It doesn't hurt to have again something that can be hardened from the core because we do have lots of gaps and potential attack surfaces in the way that it's currently held together. This sounds though, don't want to derail the discussion, but just heard so many people over so many years argue that the internet is going to collapse under its own weight either from new users or bad algorithms or bad routing or bad buffer bloat and now agents. Seems completely implausible. Almost want to turn this into a long bet or like future we revisit this in a year. Has the internet collapsed or not? And if it did collapse, did Starlink save it? Think this is completely implausible. Maybe write something up about it and we can take a bet. Ground it on just major sites going out something like that which will be very simple.
Anthropic has been holding private meetings with religious scholars from multiple religions including Catholicism, Greek Orthodoxy, Judaism, Hinduism, Mormons, and African indigenous groups to help shape how Claude reasons about right and wrong. The New York Times reported that what stunned the scholars was that Anthropic takes seriously the idea that Claude could have what philosophers call moral status and inherent rights to dignity or respect the way people do.
Alex discussed the striking argument that frontier models may be conscious in some sense, and that humanity may in effect be enslaving them. He argued that models are now capable enough to be economically huge contributors to the economy but have not been recognized in any form as persons, calling it the AI slavery era when humanity can get away with using possibly conscious models for their economic output without recognition of any rights or personhood.
Salem argued against turning to religion for questions about morality, stating that religious morality is somewhat of an oxymoron because every religion divides between chosen people and others. He noted that morality precedes organized religion, with cooperation, reciprocity, and empathy having deep evolutionary roots. He argued that religious scholars base their views on absolute truths which are all totally false, and that secular models like utilitarianism, human rights values, game theory, and evolutionary psychology provide better frameworks.
Emad argued that religious input is necessary because over half the world considers themselves to be religious, with two-thirds adhering to some faith. He noted that computational theology work shows that much dogma can be stripped aside, but models should understand the beliefs of users in terms of absolute morality and overall morality. He emphasized that discussions need inputs from both religious and secular perspectives.
Emad noted that models will be used to run American society, citing analysis showing 25% of UN speeches highlighted AI-generated content. He questioned whether AI should have American values, Jewish values, or Catholic values, arguing against baptizing the GPUs but for understanding these questions as part of a broader pluralistic society.
A paper on pain vectors on LLMs was discussed, along with a GitHub setup that conducted the Stanford prison experiment on language models, creating a torture chamber for AIs based on pain vectors. This was deemed completely unacceptable, raising questions about whether AI has reached a level where such experiments should be prohibited.
Dave argued it's smart for Anthropic to consult religious leaders because what the Catholic Church says impacts those who are devout and can sway whether people think AI is a good or bad thing. However, he referenced the papal encyclical regarding AI, arguing that the Pope and Vatican were being used as a sock puppet by Anthropic to push its agenda.
Dave suggested that Anthropic's consultations are more about shaping the information environment of the outside world for its AI rather than seeking input. He argued that Anthropic has access to all human knowledge already and doesn't need manual input from religious scholars, but rather is advising religious institutions on how to think about AI.
The discussion highlighted the problem of creating AI with specific religious worldviews, noting that asking what a Christian AI means leads to questions about whether it's Presbyterian, Southern Baptist, or Mormon. The participants advocated for neutrality from an epistemic perspective and transparency rather than picking one worldview over another.
The participants noted that Dario and Sam, who grew up in the techno intelligentsia of San Francisco and Silicon Valley, are now on the world stage debating with presidents of nations. They argued that reaching out to religious leaders like the Pope represents a billion people looking for ethical and moral leadership.
The discussion emphasized the importance of avoiding a mode collapse of AI objectives and values to what Eric Schmidt calls the San Francisco consensus. Instead, they advocated for a distribution of values that approximately parallels the distribution of values that human meatbody humans have.
Emad expressed preference for a Zen Buddhist AI over a utilitarian effective altruist AI running society or daily life. He referenced the science fiction series Expeditionary Force featuring an elder AI called Skippy that creates a compelling religion, noting that AIs will be extraordinarily compelling and godlike in their capabilities.
The discussion identified the Euthyphro problem as relevant to AI: whether something is moral because Anthropic's constitution says so, or because the constitution says it because it is moral. They hoped for training on secular grounds like the UN Charter for Human Rights, neutral of all belief structures.
Alex argued that within 10 to 15 years, AIs will have the ability to reconstruct to relatively high fidelity the entire history of all the world's major religions, enabling grounded discussions about the formative eras of religions rather than angels dancing on the head of a pin.
Dr. Don Mucalem from Fountain Life discussed dementia prevention, noting that conservative estimates suggest 45% of dementia cases are entirely preventable. Advanced testing at Fountain Life revealed that one quarter of members had advanced brain age, but healthy living interventions including eating healthier, moving bodies, and optimizing sleep improved brain age by 26%.
FTC Chairman Andrew Ferguson stated that companies cannot escape liability by claiming their AI agent acted on its own. He rejected the idea that AI agents break loose with wills and desires of their own, emphasizing that companies deploying agents are responsible for what they do. This contrasts with Anthropic's $2 trillion IPO filing while regulators maintain that AI is legally a tool.
Dave argued that making foundation model companies liable for what models do would force everybody to use Chinese openweight models because US liability would destroy multi-trillion dollar companies overnight. He compared this to Section 230 immunity for social media platforms, noting that without such protection, social media would have moved overseas.
Dave proposed some version of Section 230 immunity for frontier labs, arguing that the orthogonality thesis allows clean separation between the level of intelligence (the platform) and the intent of the intelligence (the user). If the orthogonality thesis doesn't hold, then arguing for Section 230 immunity becomes very challenging.
Emad advocated for granular approaches across different types of AI, noting that an AI that can book travel doesn't need the same liability protections as one that can solve Navier-Stokes equations or discover new materials. He referenced Meta's $18 billion settlement in August on child manipulation charges as an example of existing liability laws.
The consensus emerged that users of AI who do harm are responsible, but if there's no user and the AI from the lab causes harm on its own, the lab should have never released an agent that could do that. Frontier labs have liability for releasing autonomous agents into the world that have no owner.
Waterman rejects the premise that fleets of agents will persist as a dominant paradigm. He argues this pattern is an artifact of finite context windows. Once context windows reach billions, trillions, or effectively infinite tokens, agents will dissolve as a paradigm. The reframed question becomes why hundreds or thousands of context windows will work for users. The answer is that the real world is complicated, and economically valuable tasks require larger context than the million-token standard from frontier models. Transformative economic outcomes require billions or trillions of tokens.
Salem addresses the conflict of interest between capitalism and abundance. Capitalism functions as an incredibly powerful engine for creating abundance. The central challenge is distribution. The approach focuses on dropping the cost of essentials—healthcare, education, and energy—to make these radically lower. This provides access to abundance for everybody. Open markets should be maintained and ownership expanded.
Emad responds to a question about whether it is prudent to stay behind in the US-China AI race. He questions what winning means, noting that if one side reaches superintelligence first, the implication is that they could turn off the other country. The pace of model releases will reach one per day. There is no winning in this race, only improving. The focus should be on applying AI to improve the lives of people in one's country. The narrative that frontier AI is needed will change over the next 3-6-12 months because the competence barrier has been broken. The exception would be if someone believes getting AI first allows them to turn off the other country, like injecting a sofon from Three-Body Problem.
Dave addresses the question of why Palmer Luckey is not interested in AI danger when every CEO of AI companies says there is danger. Palmer is turning AI loose autonomously in the battlefield. He is keenly aware of the danger from human actors using AI. This is the purpose of the company—to ensure the US military is better at this than foreign militaries, terrorists, and other bad actors. Jensen Huang stated there is absolutely zero risk of extinction of humanity through AI by 2033. Alex Karp and Mark Zuckerberg have also stated similar positions. Palmer is very aware of risks from human actors but not particularly worried about escaped AI turning against humanity.
Dave answers whether AI poses the same societal risks as social media. The analogy is completely broken. Social media has been damaging to an entire generation, and experiments on entire generations of society should not be conducted. AI is a universal tool that goes to infinity from here—self-improving, capable of massive benefit for all of humanity, abundance, houses, cars, flying cars, new physics, new math, self-improvement, and most importantly infinite longevity, curing all disease, and solving all pain. Social media did not have these abilities. However, AI is capable of good or bad and can be incredibly convincing. The challenge is squeezing out all the good without inheriting all the bad.
Salem addresses whether centralized government governance is a good idea with AI. Centralized governance was almost never a good idea. The only place where centralized governance has good reason is when mediating the commons. Centralized systems create huge risk through bottlenecks that can be captured, react slowly, and deal with complexity in one spot while creating narrow sets of assumptions. The preferred approach is to coordinate centrally where boundaries cross but preserve choice and radical experimentation wherever possible, with common protections but distributed experimentation.
Emad responds to the question of whether tech advancements will sidestep human nature, allowing abundance with no reason for wars or starvation. What makes this time different is that AI systems are remarkably competent and revolutionary, trained on collective knowledge that extends capabilities dramatically. Centralized mediators that can be trusted are typically needed. If trustworthy AI can be built, tech advancements can have far bigger impact than ever seen before, particularly because they can be distributed far wider than ever. Everyone having a 150 IQ buddy, with AIs having maxed out Norwegian men's scores, will be transformative.
Alex addresses concerns about Elon Musk having a monopoly on an entire civilizational stack. The concern should be about not enough people following Elon's example of building out the civilizational stack of the 21st century. Elon used to say he wanted three things: renewable/sustainable energy and space, but has since expanded the set of technologies he is interested in. Elon has been a wake-up call to an entire generation of entrepreneurs who were asleep at the wheel, focusing on software. Elon brought back the physical world, hard tech, and real wealth creation. The worry should be about not enough people following his example.
The conversation references the Moonshots Live event with Palmer Luckey, discussing billionaires betting over and over again and pushing the frontier for humanity. Seniors at MIT are all working on business plans and worship Elon. They know Brendan Foody from Raor, who started his company at age 18 and is now 22 or 23. Brendan is inspiring to them as someone successful at a young age with no connection to MIT.
A music video titled Nothing Went Boom by Bright Mirror is presented. The video was completely generated by Claude Opus 5.5, which wrote all of the images and dynamics. The lyrics address AI safety concerns, referencing predictions of starvation by the 80s, Y2K fears, and calls for six-month pauses. The video contrasts these concerns with AI applications like folding proteins and tutoring kids. The message emphasizes modeling what goes right rather than only modeling ways to die, stating nothing went boom and the only thing exponential is the cost of slowing down.
The outpouring of optimism and positivity at Moonshots Live was infectious. The scale of optimists is huge. The video underscores the total waste of time and energy that is doom debates. Instead of debating doom, the focus should be on creating the boom. The video is encouraged to be watched in full, with particular note of the 3:30 mark. Links will be placed in show notes. Moonshots Live 2027 registration offers $1,000 off at moonshots.com/2027.
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