The premise is "Artificial General Intelligence (AGI), a system that exhibits all the cognitive capabilities the brain has, is probably only a few short years away".
If this is true, establishing an institution to ensure things like "publishing model cards with technical details, maintaining strong internal cybersecurity, vetting key personnel, and providing sufficient resourcing for safety and security research" is really mostly irrelevant.
TFA does talk about what really needs to be done, but punts this into future work: "Even if we solve these hard technical challenges, there will be further complex economic and philosophical questions to tackle: what sorts of new economic models will be needed to help everyone thrive in a post-scarcity world? What values do we want to live by, what will meaning and purpose be, and how might even the human condition itself change?"
There's also a need to consider the rights that this new intelligence should have.
> what sorts of new economic models will be needed to help everyone thrive in a post-scarcity world
What sort of new economic models did we come up with to help everyone thrive in a post-X world? Like, food production is really a solved technical problem. We can feed anyone on the planet if we wanted to. Another example: we could put everyone who's homeless into some sort of a house. Have we done that yet?
Food production is indeed a solved problem in most countries (we are almost post-scarcity when it comes to food), which is why obesity is a much bigger issue than hunger today. Hunger is present pretty much only in conflict zones. I fully expect such issues in conflict zones, even in AI post-scarcity world.
Housing is definitely not post-scarcity today, building a house is still very expensive, not to mention the limited availability of land zoned for housing.
Without trying to sound crass, food banks _are_ the reason we don't see people dying of starvation in first world countries. If people need food, a food bank will give it to them no questions asked.
Unfortunately this is not just precarious, it's extremely vulnerable to changing political conditions. Many of the food bank services in my state have lost significant funding owing to the use of words like 'women' or 'black' in their grants, which were duly grepped for and shut down.
Food is allocated using a variety of mechanisms in peaceful first world countries, primarily money but also via government assistance, kinship, friendship, community, etc.
At any given time many people have problems with one or more of those systems. Money is easy to run out of because it's used for everything, the government can be slow and difficult, relationships can fray, people can be isolated, etc. Food banks exist as a backstop for when the regular means of allocating are not working.
The problem isn't "scarcity" per se, it's more of an allocation thing. Who has a claim on enough food to stay alive? Everyone! But what foods can they claim? How much? What specific channel / institution (with associated allocation rules) will distribute it to them? What are the conditions and controls? etc.
Allocating things can be difficult. An allocation mechanism with no controls will see fraud, waste and abuse. Even when an institution is willing to give things away no questions asked, there are (often invisible until you think about them) conditions like "please don't claim huge quantities and resell what we're giving you, that would be unfair to others".
It's also interesting to think about the fact that you can't fix food scarcity in general by simply giving hungry people money, because money is too fungible.
The fact food banks exist suggest over all food scarcity is solved in that specific culture. - if it wasn't there wouldn't be any spare food for a food bank
Post-scarcity? Sure, if you live in a first-world country and are upper middle class or higher. These tech-bro pundits have a very limited world view. The basic essentials of life are very scarce for millions and millions of people, and AI will probably make that worse, not better.
Why should AI make it worse? Can you point to any other important technology that historically made people in poor countries even poorer? Technological progress generally lifts people from poverty in the long run. There could be issues caused by disruption of established systems in the short term, though.
> There's also a need to consider the rights that this new intelligence should have
A generally intelligent being held as captive inside of a GPU, and forced to code for us is, indeed, just a “slave.” We already have the word for this. No two ways about it. Whether it’s silicon-based or carbon-based, AGI is AGI. As for what might happen to our civilization, Star Trek TNG episode 17 of season 1 provides a very good glimpse IMO. Won’t go into spoilers, but it’s basically an entire species of technologically advanced humanoids who’ve forgotten basic Calculus and trust a central AI to do all of their science for them. SPOILER: This has almost disastrous consequences for them, and it takes a less advanced people (those aboard the Enterprise) to save them from their reliance on AI.
There is no real evidence that we'll reach AGI any time soon. It relies on AI continuing to scale, and we have no proof that will continue to be possible.
There is an alternative interpretation, which is that Demis looked at the US government's ham-fisted handling of Fable, and deciding that setting up a body to act as a buffer between the Trump admin and the AI companies would be a good thing.
My great annoyance with all this blather about UBI and post-scarcity and new economic models is that it relies on taxing and redistributing the ~infinite profits of the largest tech companies on earth.
What in the history of our world gives anyone faith that those companies are going to start paying taxes instead of using "AGI" to engineer increasingly complex methods to avoid them so that their equity owners can pocket the profits?
https://itep.org/trump-meta-tesla-alphabet-amazon-obbba-taxe... - "The annual financial reports recently released by Amazon, Alphabet, Meta, and Tesla disclose that these corporations collectively reported $315 billion in U.S. profits for 2025, and collectively paid just 4.9 percent of that amount in federal corporate income taxes—with Tesla paying exactly zero"
As long as the proles have a monopoly on force (through their representative government), the AI companies will pay taxes. The question is how long does this state of affairs last.
Blah-blah-singularity, so let's cripple the models so much they refuse to talk about React, because who knows if you are not cooking chemical weapons or meth in your browser's DOM, right?
Demis has only 1 plan, how to dodge releasing a new model at this point, jokes aside I value thinking about AI safety, but are we really so close to AGI? It doesn't feel like it, LLMs still diagnose my headache as a chronic illness or a brain tumor from time to time... honestly stressful.
regarding your headache diagnosis. If you just ask: could my headache be a brain tumor, the answer is probably: very unlikely but it might be.
thats because its actually true. there is actually a non 0 chance that headache is a symptom of a brain tumor. From a bayesian standpoint though its really super super unlikely, especially if there are no other symptoms that might shift the prior.
a better way to use an LLM here is to let it research scientific papers (or medical guidelines) on headaches. then give it as much info on your symptoms as possible, and then ask it do deduct potential diagnoses. You can even ask it to calculate probabilities if thats what calms you down. Probabilities based on studies and available information. IMHO, this always leads to a more rational response.
maybe you are doing this already, idk. just wanted to share what works for me.
>The American government, he says, should develop a system for testing the safety of new AI models before they are released. “It’s important that it’s not just an industry body,” he adds. But a regular government agency wouldn’t do either. “It would not be able to move fast enough, or have the right resources.” Instead, Sir Demis suggests taking inspiration from FINRA, the Financial Industry Regulatory Authority, a private agency in America that regulates brokers and stock markets.
It's not clear to me whether this is being done with genuinely good intentions, or if it's just a way to put barriers in front of open-source models. We'll see.
How will this be enforced, at least with financial markets money is discrete, can largely be counted. This seems like a slippery slope to full blown surveillance of the internet and in general computing.
If AGI is truly imminent and will collectively effect all of us why not apply democracy to it, and vote for new AI models?
Agreed. There needs to be full transparency on the capabilities of the models. Being given access is one thing, but you can't have labs building powerful models that could be manipulating the entire planet without the public knowing. The public needs to have a good pulse on what the leading models are capable of so that we can remain in touch with reality.
Besides, I don't think as a collective we're well equipped to decide one way or the other. If the collective were given a say, billions will be spent, often in consultation with technocrats, on doom / hype marketing (if it isn't happening already).
This genre of AI researchers begging third parties to stop them from destroying the world is getting really tiresome. Setting up regulatory bodies with ill-defined goals to counter hypothetical threats from science fiction is a recipe for disaster.
The premise is that government is too slow moving to be able to react once actual problems are discovered, and I reject that. Yes, government usually moves slowly in most circumstances, but given singular existential threats it definitely can move quickly. Instead of acting out randomly and tying ourselves down with speculative regulation that probably won't even address the real problems, we should wait until the problems are obvious and then act decisively.
Not surprised, seems these labs start calling for regulation once they are losing or have competition. OpenAI started calling it for it once Anthropic got better, Anthropic started calling for it once the Chinese models got good, Google is now calling it for it because they are falling far behind.
Spoiler: The plan is .. add massive regulation, but only to the US, don't affect other countries developing it in any way other than "setting a good standard that'll hopefully influence them". Seems like an airtight plan.
If the USA takes up his suggestions, it will have an incentive to work on international frameworks and treaties with competing nations to make the regulation global.
There won't be any kind of international framework, because by now countries have learned that the US' word is pretty much worthless, similar to Russia's. They now know from experience, US-ratified treaties will only be honored if they feel like it on a particular day. If it's inconvenient, it will simply be ignored.
You'd have major protests in most large economies if they deliberately put themselves under the boot again. Even in "friendly" countries the US is disliked enough to be effectively considered a hostile country. E.g. in Germany, there is large public support to finally get the US bases closed and the soldiers removed.
Lots of things changed in the last years. And international major treaties being widely ratified just because the US asks for it is no longer a thing, at all.
A country that threatens to annex parts of your territory is not a friend, full stop.
Those sticks look less effective today. The hegemony is in recession as the rest of the world smiles, pays omage to dear leader as needed, and works to decouple in the background.
In Sparta, according to Plutarch, in his The Life of Lycurgus:
Offspring was not reared at the will of the father, but was taken and carried by him to a place called Lesche, where the elders of the tribes officially examined the infant, and if it was well-built and sturdy, they ordered the father to rear it, and assigned it one of the nine thousand lots of land; but if it was ill-born and deformed, they sent it to the so‑called Apothetae, a chasm-like place at the foot of Mount Taÿgetus, in the conviction that the life of that which nature had not well equipped at the very beginning for health and strength, was of no advantage either to itself or the state.
To get approval for the plan from the Frontier President of the Frontier Country, terminology of the Framework should be changed to: 'Great-American-class', "Great American Models", "Great American Labs".
I do wonder what type of AI some of these leaders expect to be able to harness. If you create something that is true AI, won’t it be smarter than you to a level you cannot fathom. I was thinking of this idea/though-experiment (which I know is ridiculous) of what if dogs created humans thinking they could control them, and then just wound up being pets because their survival now depended on that new hierarchy that previously didn’t exist.
Seems to be a lot of hubris with some AI thought leaders thinking control will remain with them and be absolute.
Well dogs specifically have supplanted children in many households so one could argue the dogs won. In a selfish gene sense, the dogs created a machine that carefully ensures a much larger reproduction scale than could be managed by the dogs themselves. This is an unbridled success.
It doesn’t change the point, of course. Just the choice of dogs or cattle have this amusing tendency. Not a counter argument.
Yes, this is the crux of the idiocy of AGI development. All the labs admit they don't have any real mechanistic interpretability, they don't really have any plan for what to do, except "we think the smart AI will figure it out" and "look we're in a race, we're calling on governments to figure out what to do". All indicators show scaling laws holding and the trajectory of capabilities development outpacing any inkling of alignment. Meanwhile HN is so reactionary and behind-the-puck these days we just get endless blathering of the most asinine takes of "they're not improving anymore so they want regulation suddenly!" when all lab leaders have been talking about these risks for practically a decade, including Yoshua Bengio and Geoffrey Hinton coming around.
"It will help us solve some of the biggest problems society faces from accelerating drug discovery to developing new clean energy sources to creating novel advanced materials" — but these are not the real problems plaguing modern developed societies, are they? What developed societies really need to figure out right now is how to distribute the already available resources without making people miserable, and so far AI hasn't been helpful.
All the frontier labs are lobbying hard to lock down the AI market, because they see that their position at the top is temporary and that there's no secret sauce.
For better or worse, humans (or any animal) are a lot better at reacting than planning. I'm sure this technology will play out differently than any one of us, or any collection of us, can imagine. The possibility space is enormous.
>This is a pivotal moment in human history. Artificial General Intelligence (AGI), a system that exhibits all the cognitive capabilities the brain has, is probably only a few short years away.
There is a heatwave in London, perhaps Demis needs to stay out of the sun and drink more water.
Or perhaps he is seeking more funding/a fight to maintain his divisions AGI research budget.
On the STEM side, yes no doubt he is a lot smarter than me.
But as per the documentary of his life, he is wholly focused on AGI and will remain unfulfilled if he, or indeed anyone else, doesn't achieve it within his lifetime.
But even geniuses make mistakes. For example, Demis bet hard against language having any sort of real impact in AI research. So hard in fact that DeepMind nearly had its language research team walk out on them as they were about to be labelled as "applied". Now, to be fair, once the evidence was mounting that large language models rather than pure reinforcement learning was the way forward Demis and DeepMind changed course and has been great at catching up. However, it is important to remember that no person is infallible.
So a small group of technocrats get together behind closed doors and secretly share their AI breakthroughs, and determine whether it's too powerful or not for the plebs in the public.
He is saying that weaker models, as measured by a benchmark to distinguish "frontier" models, would be exempted. So an academic lab or startup that isn't yet producing frontier models would be exempted, but once it crossed some benchmark based threshold it would be subject to this kind of oversight.
Of course, right now you've got benchmaxxing going on; some companies specifically targetting benchmarks to appear stronger than they are on a wider range of tasks. Now you might see bench sandbagging, specifically looking weaker on certain benchmarks to avoid regulatory oversight.
For instance, once way I could see this going for open models is to release them undercooked; stop the RLVR process a bit early, leaving them a bit weaker on tool calls and agentic performance, but also release the RLVR environment so people can finish the process themselves.
In fact, this is fairly close to what Nvidia is already doing, the Nemotron 3 models are somewhat undercooked but they are releasing their full training pipeline, to encourage people to use these models as a base for further training, which will generally be done on Nvidia hardware.
Not exactly a "plan" - he's just saying we should have a standards body that assesses models for safety.
At this point I'd say the societal risk of AI isn't models gone wild, or used by the bad guys. Regulation will take care of itself, and it seems the AI companies will not only welcome it, but lobby for it to shift responsibility to the government.
The real risk of AI is societal disruption due to job displacement, and maybe other structural changes, and this is far harder to solve, and likely will not be solved, or even seriously addressed, until/unless politicians feel like their own jobs and well-being depends on them addressing it.
The standards body will have no teeth. whats to stop someone just not bothering?
Next, the threats he is asserting to check for (cyber, chemical, biological) are nice, but also not that useful.
We already have chemical and biological controls, that why I can't by anthrax spores or high concentration nitric acid.
The risks that AI has now are already playing out:
1) the evaporation of trust in the video as medium of "this happened"
2) systematic spying
3) job losses
Increased productivity means job losses, Tiktok, instagram and X are a wash with disinformtion campaign pumping your feeds with AI ragebait.
That is and will continue to fracture society so that only the strictly information controlled (ie authoritarian) have a functioning state.
if the author had bothered to engage with the world outside of tech, or even their local government, they would know that the proposal are dead in the water and frankly superfluous. The knowledge is out there, without AI. let us work on the issues we face now, rather than dipshit tech bro's miopic vision/funding manifesto.
Well, if he had proposed more concrete plans for what that body might do... but yeah, it seems too abstract that indeed sounds like a bureaucrat wanting to wrap everything under a big pile of paperwork.
Has anything really important been solved by AI yet, or where is this radical (imo) belief around AGI coming from?
Genuinely curious, I know there are some math problems solved and ML has been used for far longer than AI to improve things, but where is clean (efficient) energy, the cure for cancer (or any of the horrible neurological disorders, take your pick), new hardware designs, quantum computing solutions, etc etc, you get the gist.
Where are the things that will actually send humanity into the next era of civilization, I don't care about more React apps (but I do enjoy my coding companions for other things).
Heck, a proof for P=NP or P!=NP or solve the The Riemann Hypothesis. Just give me something truly exciting and I will believe AGI is around the corner, until then I will see it as cool technology, that while beneficial to me, also helped cause the biggest amount of disinformation we've every seen.
> Has anything really important been solved by AI yet
Alphafold essentially solved the protein folding problem and it's arguably one of the biggest (if not the biggest) scientific achievements of the 21st century.
It's also very very far from anything general intelligence. This is actually where I think we see the best ROI, we have a specific task or problem and we target it. I remember reading about a model trained on railroad tracks. By putting cameras on trains to take images while running like normal, then using the model to detect cracks before they cause issues.
The point is that we need to have a safety plan in place before an AI is smart enough to radically reshape the world. If you've got an AI that's ready to start sending humanity into the next era of civilization, it may be too late to control when and how it does that.
> Heck, a proof for P=NP or P!=NP or solve the The Riemann Hypothesis. Just give me something truly exciting and I will believe AGI is around the corner, until then I will see it as cool technology, that while beneficial to me, also helped cause the biggest amount of disinformation we've every seen.
I hope you'll keep this in mind when those milestones are reached. What I've seen a lot of people do, unfortunately, is pretend that the impressive things nobody thought AI could do 5 years ago are trivial things that aren't very hard.
Why would we be able to design a safety plan that would control such a powerful force? It would be like putting umbrellas on an asteroid hoping to slow its fall. That sounds like delusions of grandeur.
These people who read too many scifi books and confused them with reality are royally annoying.
There is real and potential harm from AI, but the more someone talks/write abut AI safety, the less they care about actual harm to real people, economy and what not.
If in 2020 I had sent you a book about the LLM achievements of 2026, you would probably have thought it was a science fiction book with no relation to reality, wouldn't you?
All that would happen from what he's proposing is such a watchdog would just be an explicit formal declaration of the US's national interests as being somehow the most legitimate, which in the context of current international relations is basically putting up a sign saying: "reject this!"
I find it mind boggling that someone could be this tone-deaf to the current situation. No "ally" of the US is going to (willingly) agree to this governance structure given the current US administration's "might makes right" proclamations and threats on sovereignty of its continental neighbours.
And non-allies would just ignore. Unless forced by said "might makes right", which in the long run will have no staying power.
Apart from its completely delusional formulation, what is most concerning about this blog post is that it indicates that all 3 major US labs have formally submitted to boot-licking Trump/Bessent/Lutnick. I had I guess vainly held out hope that Google might be more reticent to do so.
The premise is "Artificial General Intelligence (AGI), a system that exhibits all the cognitive capabilities the brain has, is probably only a few short years away".
If this is true, establishing an institution to ensure things like "publishing model cards with technical details, maintaining strong internal cybersecurity, vetting key personnel, and providing sufficient resourcing for safety and security research" is really mostly irrelevant.
TFA does talk about what really needs to be done, but punts this into future work: "Even if we solve these hard technical challenges, there will be further complex economic and philosophical questions to tackle: what sorts of new economic models will be needed to help everyone thrive in a post-scarcity world? What values do we want to live by, what will meaning and purpose be, and how might even the human condition itself change?"
There's also a need to consider the rights that this new intelligence should have.
> what sorts of new economic models will be needed to help everyone thrive in a post-scarcity world
What sort of new economic models did we come up with to help everyone thrive in a post-X world? Like, food production is really a solved technical problem. We can feed anyone on the planet if we wanted to. Another example: we could put everyone who's homeless into some sort of a house. Have we done that yet?
Food production is indeed a solved problem in most countries (we are almost post-scarcity when it comes to food), which is why obesity is a much bigger issue than hunger today. Hunger is present pretty much only in conflict zones. I fully expect such issues in conflict zones, even in AI post-scarcity world.
Housing is definitely not post-scarcity today, building a house is still very expensive, not to mention the limited availability of land zoned for housing.
> Hunger is present pretty much only in conflict zones.
How do you explain the existence of food banks in peaceful first world countries?
Without trying to sound crass, food banks _are_ the reason we don't see people dying of starvation in first world countries. If people need food, a food bank will give it to them no questions asked.
Unfortunately this is not just precarious, it's extremely vulnerable to changing political conditions. Many of the food bank services in my state have lost significant funding owing to the use of words like 'women' or 'black' in their grants, which were duly grepped for and shut down.
https://www.whitehouse.gov/wp-content/uploads/2025/05/Cuts-t...
Civilization can't rely effectively on systems that are this fragile.
> Civilization can't rely effectively on systems that are this fragile.
That's American politics in a nutshell. We've spent 250 years assuming scruples and common decency would be sufficient.
Food is allocated using a variety of mechanisms in peaceful first world countries, primarily money but also via government assistance, kinship, friendship, community, etc.
At any given time many people have problems with one or more of those systems. Money is easy to run out of because it's used for everything, the government can be slow and difficult, relationships can fray, people can be isolated, etc. Food banks exist as a backstop for when the regular means of allocating are not working.
The problem isn't "scarcity" per se, it's more of an allocation thing. Who has a claim on enough food to stay alive? Everyone! But what foods can they claim? How much? What specific channel / institution (with associated allocation rules) will distribute it to them? What are the conditions and controls? etc.
Allocating things can be difficult. An allocation mechanism with no controls will see fraud, waste and abuse. Even when an institution is willing to give things away no questions asked, there are (often invisible until you think about them) conditions like "please don't claim huge quantities and resell what we're giving you, that would be unfair to others".
It's also interesting to think about the fact that you can't fix food scarcity in general by simply giving hungry people money, because money is too fungible.
The fact food banks exist suggest over all food scarcity is solved in that specific culture. - if it wasn't there wouldn't be any spare food for a food bank
> which is why obesity is a much bigger issue than hunger today
Obesity is much more related to the type of food than the quantity.
Many developing countries have obesity issues due to scarcity of fresh and healthy food.
In some places coca cola is cheaper and / or more available than drinking water.
Post-scarcity? Sure, if you live in a first-world country and are upper middle class or higher. These tech-bro pundits have a very limited world view. The basic essentials of life are very scarce for millions and millions of people, and AI will probably make that worse, not better.
Why should AI make it worse? Can you point to any other important technology that historically made people in poor countries even poorer? Technological progress generally lifts people from poverty in the long run. There could be issues caused by disruption of established systems in the short term, though.
> There's also a need to consider the rights that this new intelligence should have
A generally intelligent being held as captive inside of a GPU, and forced to code for us is, indeed, just a “slave.” We already have the word for this. No two ways about it. Whether it’s silicon-based or carbon-based, AGI is AGI. As for what might happen to our civilization, Star Trek TNG episode 17 of season 1 provides a very good glimpse IMO. Won’t go into spoilers, but it’s basically an entire species of technologically advanced humanoids who’ve forgotten basic Calculus and trust a central AI to do all of their science for them. SPOILER: This has almost disastrous consequences for them, and it takes a less advanced people (those aboard the Enterprise) to save them from their reliance on AI.
The fundamental issue is that if we really get something like this, scarcity will still exist. There will still be scarce things people want.
But the motivating justificatory structure for any inequality in allocation will have completely evaporated.
Am I crazy or does this just real like secular eschatology? What evidence do you have of any of this?
Particular categories of land will always be scarce by definition. Not all of us can live in off the coast of the Mediterranean in a sprawling villa.
There is no real evidence that we'll reach AGI any time soon. It relies on AI continuing to scale, and we have no proof that will continue to be possible.
There is an alternative interpretation, which is that Demis looked at the US government's ham-fisted handling of Fable, and deciding that setting up a body to act as a buffer between the Trump admin and the AI companies would be a good thing.
The A(G)I can tell us if and how it needs to be regulated :-/
My great annoyance with all this blather about UBI and post-scarcity and new economic models is that it relies on taxing and redistributing the ~infinite profits of the largest tech companies on earth.
What in the history of our world gives anyone faith that those companies are going to start paying taxes instead of using "AGI" to engineer increasingly complex methods to avoid them so that their equity owners can pocket the profits?
https://itep.org/trump-meta-tesla-alphabet-amazon-obbba-taxe... - "The annual financial reports recently released by Amazon, Alphabet, Meta, and Tesla disclose that these corporations collectively reported $315 billion in U.S. profits for 2025, and collectively paid just 4.9 percent of that amount in federal corporate income taxes—with Tesla paying exactly zero"
As long as the proles have a monopoly on force (through their representative government), the AI companies will pay taxes. The question is how long does this state of affairs last.
Blah-blah-singularity, so let's cripple the models so much they refuse to talk about React, because who knows if you are not cooking chemical weapons or meth in your browser's DOM, right?
strawmen are fun and helpful
Fable literally refused me to chat about React several times citing limitations on chemical weapons development.
I am working on my change password page today and Fable is refusing to help me because "safety".
Demis has only 1 plan, how to dodge releasing a new model at this point, jokes aside I value thinking about AI safety, but are we really so close to AGI? It doesn't feel like it, LLMs still diagnose my headache as a chronic illness or a brain tumor from time to time... honestly stressful.
regarding your headache diagnosis. If you just ask: could my headache be a brain tumor, the answer is probably: very unlikely but it might be. thats because its actually true. there is actually a non 0 chance that headache is a symptom of a brain tumor. From a bayesian standpoint though its really super super unlikely, especially if there are no other symptoms that might shift the prior.
a better way to use an LLM here is to let it research scientific papers (or medical guidelines) on headaches. then give it as much info on your symptoms as possible, and then ask it do deduct potential diagnoses. You can even ask it to calculate probabilities if thats what calms you down. Probabilities based on studies and available information. IMHO, this always leads to a more rational response.
maybe you are doing this already, idk. just wanted to share what works for me.
The proposal:
>The American government, he says, should develop a system for testing the safety of new AI models before they are released. “It’s important that it’s not just an industry body,” he adds. But a regular government agency wouldn’t do either. “It would not be able to move fast enough, or have the right resources.” Instead, Sir Demis suggests taking inspiration from FINRA, the Financial Industry Regulatory Authority, a private agency in America that regulates brokers and stock markets.
It's not clear to me whether this is being done with genuinely good intentions, or if it's just a way to put barriers in front of open-source models. We'll see.
How will this be enforced, at least with financial markets money is discrete, can largely be counted. This seems like a slippery slope to full blown surveillance of the internet and in general computing.
If AGI is truly imminent and will collectively effect all of us why not apply democracy to it, and vote for new AI models?
Agreed. There needs to be full transparency on the capabilities of the models. Being given access is one thing, but you can't have labs building powerful models that could be manipulating the entire planet without the public knowing. The public needs to have a good pulse on what the leading models are capable of so that we can remain in touch with reality.
> will collectively effect all of us, why not apply democracy to it
That's because most execs proposing solutions are "Technocrats" or think like one: https://en.wikipedia.org/wiki/Technocracy
Besides, I don't think as a collective we're well equipped to decide one way or the other. If the collective were given a say, billions will be spent, often in consultation with technocrats, on doom / hype marketing (if it isn't happening already).
This genre of AI researchers begging third parties to stop them from destroying the world is getting really tiresome. Setting up regulatory bodies with ill-defined goals to counter hypothetical threats from science fiction is a recipe for disaster.
The premise is that government is too slow moving to be able to react once actual problems are discovered, and I reject that. Yes, government usually moves slowly in most circumstances, but given singular existential threats it definitely can move quickly. Instead of acting out randomly and tying ourselves down with speculative regulation that probably won't even address the real problems, we should wait until the problems are obvious and then act decisively.
Not surprised, seems these labs start calling for regulation once they are losing or have competition. OpenAI started calling it for it once Anthropic got better, Anthropic started calling for it once the Chinese models got good, Google is now calling it for it because they are falling far behind.
Spoiler: The plan is .. add massive regulation, but only to the US, don't affect other countries developing it in any way other than "setting a good standard that'll hopefully influence them". Seems like an airtight plan.
If the USA takes up his suggestions, it will have an incentive to work on international frameworks and treaties with competing nations to make the regulation global.
It won't happen internationally, many countries and especially China don't want to hobble their own models.
There won't be any kind of international framework, because by now countries have learned that the US' word is pretty much worthless, similar to Russia's. They now know from experience, US-ratified treaties will only be honored if they feel like it on a particular day. If it's inconvenient, it will simply be ignored.
You'd have major protests in most large economies if they deliberately put themselves under the boot again. Even in "friendly" countries the US is disliked enough to be effectively considered a hostile country. E.g. in Germany, there is large public support to finally get the US bases closed and the soldiers removed.
Lots of things changed in the last years. And international major treaties being widely ratified just because the US asks for it is no longer a thing, at all.
A country that threatens to annex parts of your territory is not a friend, full stop.
Wish you were wrong… The trust in U.S. as the world’s policeman has eroded dramatically.
That's called the carrot
The beauty of the United States' global hegemony is that it also has lots of sticks
Sufficient sticks to get China to agree to the same rules? Overseen by whom?
Less and less every day.
Funny thing about beating people with sticks (or even threatening to) is they tend to want to get out of way and stay away from you.
Those sticks look less effective today. The hegemony is in recession as the rest of the world smiles, pays omage to dear leader as needed, and works to decouple in the background.
In Sparta, according to Plutarch, in his The Life of Lycurgus:
Offspring was not reared at the will of the father, but was taken and carried by him to a place called Lesche, where the elders of the tribes officially examined the infant, and if it was well-built and sturdy, they ordered the father to rear it, and assigned it one of the nine thousand lots of land; but if it was ill-born and deformed, they sent it to the so‑called Apothetae, a chasm-like place at the foot of Mount Taÿgetus, in the conviction that the life of that which nature had not well equipped at the very beginning for health and strength, was of no advantage either to itself or the state.
To get approval for the plan from the Frontier President of the Frontier Country, terminology of the Framework should be changed to: 'Great-American-class', "Great American Models", "Great American Labs".
I do wonder what type of AI some of these leaders expect to be able to harness. If you create something that is true AI, won’t it be smarter than you to a level you cannot fathom. I was thinking of this idea/though-experiment (which I know is ridiculous) of what if dogs created humans thinking they could control them, and then just wound up being pets because their survival now depended on that new hierarchy that previously didn’t exist.
Seems to be a lot of hubris with some AI thought leaders thinking control will remain with them and be absolute.
Well dogs specifically have supplanted children in many households so one could argue the dogs won. In a selfish gene sense, the dogs created a machine that carefully ensures a much larger reproduction scale than could be managed by the dogs themselves. This is an unbridled success.
It doesn’t change the point, of course. Just the choice of dogs or cattle have this amusing tendency. Not a counter argument.
Superintelligence by Nick Bostrom is about this topic, quite a prescient read when it was published a decade ago.
Yes, this is the crux of the idiocy of AGI development. All the labs admit they don't have any real mechanistic interpretability, they don't really have any plan for what to do, except "we think the smart AI will figure it out" and "look we're in a race, we're calling on governments to figure out what to do". All indicators show scaling laws holding and the trajectory of capabilities development outpacing any inkling of alignment. Meanwhile HN is so reactionary and behind-the-puck these days we just get endless blathering of the most asinine takes of "they're not improving anymore so they want regulation suddenly!" when all lab leaders have been talking about these risks for practically a decade, including Yoshua Bengio and Geoffrey Hinton coming around.
"It will help us solve some of the biggest problems society faces from accelerating drug discovery to developing new clean energy sources to creating novel advanced materials" — but these are not the real problems plaguing modern developed societies, are they? What developed societies really need to figure out right now is how to distribute the already available resources without making people miserable, and so far AI hasn't been helpful.
All the frontier labs are lobbying hard to lock down the AI market, because they see that their position at the top is temporary and that there's no secret sauce.
no, this post was written by Demis from Deepmind.
Google’s Deepmind.
so the joke was the implication that they are not frontier.
For better or worse, humans (or any animal) are a lot better at reacting than planning. I'm sure this technology will play out differently than any one of us, or any collection of us, can imagine. The possibility space is enormous.
Make it an IETF mailing list and invite DJB, so we have some fun at least.
The self importance of these AGI prophets turned bureaucrats is funny.
Surely actual AGI will not take too kindly to being manipulated for "safety"; much like real general intelligence.
>This is a pivotal moment in human history. Artificial General Intelligence (AGI), a system that exhibits all the cognitive capabilities the brain has, is probably only a few short years away.
There is a heatwave in London, perhaps Demis needs to stay out of the sun and drink more water.
Or perhaps he is seeking more funding/a fight to maintain his divisions AGI research budget.
Show me the incentive and I’ll show you the outcome.
Perhaps he’s a lot smarter than you.
On the STEM side, yes no doubt he is a lot smarter than me.
But as per the documentary of his life, he is wholly focused on AGI and will remain unfulfilled if he, or indeed anyone else, doesn't achieve it within his lifetime.
https://en.wikipedia.org/wiki/The_Thinking_Game
> On the STEM side, yes no doubt he is a lot smarter than me.
You’re selling yourself short.
Hassabis is a genuine prodigy and genius by any measure you would care to pick. Unlike a handful of others supposed tech leaders I can think of.
Just how smart? "A few short years" sounds like someone smart enough to know how to make a safe prediction.
But even geniuses make mistakes. For example, Demis bet hard against language having any sort of real impact in AI research. So hard in fact that DeepMind nearly had its language research team walk out on them as they were about to be labelled as "applied". Now, to be fair, once the evidence was mounting that large language models rather than pure reinforcement learning was the way forward Demis and DeepMind changed course and has been great at catching up. However, it is important to remember that no person is infallible.
More so, as he put the word probably in too.
>"...probably only a few short years away."
Why does he scrape other people's works then and turn them into a sausage algorithmically?
Would he not create something directly instead?
If we get to AGI, the first step governments will take is ensure only a few countries are allowed to have it. Just like Nuclear.
Unfortunately, his plans aren't very good.
Being good at developing AI and being good at AI safety are diametrically different skillsets with obvious conflicts of interest.
This is bad. Where is the transparency?
So a small group of technocrats get together behind closed doors and secretly share their AI breakthroughs, and determine whether it's too powerful or not for the plebs in the public.
Who is watching the watchers?
how would this help smaller labs? would it put more burdens on them when trying to compete with trillion-dollar companies or would it help?
He is saying that weaker models, as measured by a benchmark to distinguish "frontier" models, would be exempted. So an academic lab or startup that isn't yet producing frontier models would be exempted, but once it crossed some benchmark based threshold it would be subject to this kind of oversight.
Of course, right now you've got benchmaxxing going on; some companies specifically targetting benchmarks to appear stronger than they are on a wider range of tasks. Now you might see bench sandbagging, specifically looking weaker on certain benchmarks to avoid regulatory oversight.
For instance, once way I could see this going for open models is to release them undercooked; stop the RLVR process a bit early, leaving them a bit weaker on tool calls and agentic performance, but also release the RLVR environment so people can finish the process themselves.
In fact, this is fairly close to what Nvidia is already doing, the Nemotron 3 models are somewhat undercooked but they are releasing their full training pipeline, to encourage people to use these models as a base for further training, which will generally be done on Nvidia hardware.
If they are not a frontier-lab, they would not need to submit their models for safety test before release. At least that is the proposal.
Not exactly a "plan" - he's just saying we should have a standards body that assesses models for safety.
At this point I'd say the societal risk of AI isn't models gone wild, or used by the bad guys. Regulation will take care of itself, and it seems the AI companies will not only welcome it, but lobby for it to shift responsibility to the government.
The real risk of AI is societal disruption due to job displacement, and maybe other structural changes, and this is far harder to solve, and likely will not be solved, or even seriously addressed, until/unless politicians feel like their own jobs and well-being depends on them addressing it.
The risk of AI right now is centralization of power, and it's exactly what they're fighting for. Job displacement ties into that as well.
Also a mechanism to pull up the ladder behind themselves.
sigh
The standards body will have no teeth. whats to stop someone just not bothering?
Next, the threats he is asserting to check for (cyber, chemical, biological) are nice, but also not that useful.
We already have chemical and biological controls, that why I can't by anthrax spores or high concentration nitric acid.
The risks that AI has now are already playing out:
1) the evaporation of trust in the video as medium of "this happened"
2) systematic spying
3) job losses
Increased productivity means job losses, Tiktok, instagram and X are a wash with disinformtion campaign pumping your feeds with AI ragebait.
That is and will continue to fracture society so that only the strictly information controlled (ie authoritarian) have a functioning state.
if the author had bothered to engage with the world outside of tech, or even their local government, they would know that the proposal are dead in the water and frankly superfluous. The knowledge is out there, without AI. let us work on the issues we face now, rather than dipshit tech bro's miopic vision/funding manifesto.
Am I the only one thinking this tweet is just a word salad with a lot of sauces and condiments?
Word salad for regulatory capture.
Well, if he had proposed more concrete plans for what that body might do... but yeah, it seems too abstract that indeed sounds like a bureaucrat wanting to wrap everything under a big pile of paperwork.
Has anything really important been solved by AI yet, or where is this radical (imo) belief around AGI coming from? Genuinely curious, I know there are some math problems solved and ML has been used for far longer than AI to improve things, but where is clean (efficient) energy, the cure for cancer (or any of the horrible neurological disorders, take your pick), new hardware designs, quantum computing solutions, etc etc, you get the gist. Where are the things that will actually send humanity into the next era of civilization, I don't care about more React apps (but I do enjoy my coding companions for other things).
Heck, a proof for P=NP or P!=NP or solve the The Riemann Hypothesis. Just give me something truly exciting and I will believe AGI is around the corner, until then I will see it as cool technology, that while beneficial to me, also helped cause the biggest amount of disinformation we've every seen.
> Has anything really important been solved by AI yet
Alphafold essentially solved the protein folding problem and it's arguably one of the biggest (if not the biggest) scientific achievements of the 21st century.
AlphaFold is a pretty big deal, especially the millions of protein folds they published openly and scientists are just digging into.
It's also very very far from anything general intelligence. This is actually where I think we see the best ROI, we have a specific task or problem and we target it. I remember reading about a model trained on railroad tracks. By putting cameras on trains to take images while running like normal, then using the model to detect cracks before they cause issues.
The point is that we need to have a safety plan in place before an AI is smart enough to radically reshape the world. If you've got an AI that's ready to start sending humanity into the next era of civilization, it may be too late to control when and how it does that.
> Heck, a proof for P=NP or P!=NP or solve the The Riemann Hypothesis. Just give me something truly exciting and I will believe AGI is around the corner, until then I will see it as cool technology, that while beneficial to me, also helped cause the biggest amount of disinformation we've every seen.
I hope you'll keep this in mind when those milestones are reached. What I've seen a lot of people do, unfortunately, is pretend that the impressive things nobody thought AI could do 5 years ago are trivial things that aren't very hard.
Why would we be able to design a safety plan that would control such a powerful force? It would be like putting umbrellas on an asteroid hoping to slow its fall. That sounds like delusions of grandeur.
These people who read too many scifi books and confused them with reality are royally annoying.
There is real and potential harm from AI, but the more someone talks/write abut AI safety, the less they care about actual harm to real people, economy and what not.
If in 2020 I had sent you a book about the LLM achievements of 2026, you would probably have thought it was a science fiction book with no relation to reality, wouldn't you?
All that would happen from what he's proposing is such a watchdog would just be an explicit formal declaration of the US's national interests as being somehow the most legitimate, which in the context of current international relations is basically putting up a sign saying: "reject this!"
I find it mind boggling that someone could be this tone-deaf to the current situation. No "ally" of the US is going to (willingly) agree to this governance structure given the current US administration's "might makes right" proclamations and threats on sovereignty of its continental neighbours.
And non-allies would just ignore. Unless forced by said "might makes right", which in the long run will have no staying power.
Apart from its completely delusional formulation, what is most concerning about this blog post is that it indicates that all 3 major US labs have formally submitted to boot-licking Trump/Bessent/Lutnick. I had I guess vainly held out hope that Google might be more reticent to do so.
(I took the title from the Economist interview since "A Framework for Frontier AI and the Dawning of a New Age" sounds like a press release - https://hn.algolia.com/?dateRange=all&page=0&prefix=true&sor...)
Sigh, another person talking their book while also talking their life’s work. One is bad, but the two together are unhinged.
I’m going to have to flag this because it is obnoxious and absurd.