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French President Macron on AI: The problem is these frontier models: we need to better control them so they don't fall into the hands of authoritarian regimes that may threaten the cybersecurity of our societies.

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French President Macron: Yes, We are competing in frontier AI models. Which other countries in the world are competing in frontier AI models? The U.S., China, and in between, Canada and us.

French President Macron: Yes, We are competing in frontier AI models. Which other countries in the world are competing in frontier AI models? The U.S., China, and in between, Canada and us.

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French President Macron: Yes, We are competing in frontier AI models. Which other countries in the world are competing in frontier AI models? The U.S., China, and in between, Canada and us.

French President Macron: Yes, We are competing in frontier AI models. Which other countries in the world are competing in frontier AI models? The U.S., China, and in between, Canada and us.

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French President Macron: There is a crisis of effectiveness in our democracies. We have made our systems more sophisticated, but we have become extremely complex, less understandable and slower. Checks and balances and independent authorities were created for very good reasons, but they have slowed the ability of our democratic system to act. That creates impatience in societies that want problems solved very quickly. This crisis of democratic effectiveness makes our systems less acceptable and creates a fascination with authoritarian regimes or authoritarian systems.

French President Macron: There is a crisis of effectiveness in our democracies. We have made our systems more sophisticated, but we have become extremely complex, less understandable and slower. Checks and balances and independent authorities were created for very good reasons, but they have slowed the ability of our democratic system to act. That creates impatience in societies that want problems solved very quickly. This crisis of democratic effectiveness makes our systems less acceptable and creates a fascination with authoritarian regimes or authoritarian systems.

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We literally could have less than 5 years left. The companies who are pushing the frontier of these AI models need to immediately figure out a way to control them. I’m talking about you Open AI, Anthropic, and Google.

We literally could have less than 5 years left. The companies who are pushing the frontier of these AI models need to immediately figure out a way to control them. I’m talking about you Open AI, Anthropic, and Google.

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Either Trump is taking our nukes, so they dont fall into the hands of Islam, or we are practising remigration

Either Trump is taking our nukes, so they dont fall into the hands of Islam, or we are practising remigration

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French President Emmanuel Macron: "Today, if we engage and send troops on the ground [in Ukraine] in this situation, we take the responsibility of escalation. We don't have any consensus to do so. We would be responsible for triggering a loss of control of the situation."

French President Emmanuel Macron: "Today, if we engage and send troops on the ground [in Ukraine] in this situation, we take the responsibility of escalation. We don't have any consensus to do so. We would be responsible for triggering a loss of control of the situation."

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French President Emmanuel Macron: "Today, if we engage and send troops on the ground [in Ukraine] in this situation, we take the responsibility of escalation. We don't have any consensus to do so. We would be responsible for triggering a loss of control of the situation."

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Polymarket Intel

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French President Macron: As long as we put additional regulations on our industries, we have to be sure that we reflect them to the non-European industries. We have to kill our regulation to our own players; our overregulation strategy is the killer of our own industry.

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Engram cofounder Jack Morris just raised $98M to build a new type of AI. He says models don't need to get smarter over time. Instead, they just need to know you better and better over time. Jack describes what he's building: "Our product is a new type of AI. We have a pretty different vision from a lot of the frontier labs, which are working on one model per lab, and trying to make that model smarter every month." "There's another way to think about it, which is that the model doesn't need to get smarter every month. It needs to know you better." "So we're working on a whole different stack, which is a way to train models that train themselves to know your world better and adjust to the things that you say." "So: new ways of training, new ways of running the models."

Engram cofounder Jack Morris just raised $98M to build a new type of AI. He says models don't need to get smarter over time. Instead, they just need to know you better and better over time. Jack describes what he's building: "Our product is a new type of AI. We have a pretty different vision from a lot of the frontier labs, which are working on one model per lab, and trying to make that model smarter every month." "There's another way to think about it, which is that the model doesn't need to get smarter every month. It needs to know you better." "So we're working on a whole different stack, which is a way to train models that train themselves to know your world better and adjust to the things that you say." "So: new ways of training, new ways of running the models."

TBPN

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The immigration issue is not our problem but your problem. So please don't involve us. Julius Malema told us a decade ago that we need to get our land and minerals back from the hands of our oppressors and you chose to ignore him. Hmmm 🤔

The immigration issue is not our problem but your problem. So please don't involve us. Julius Malema told us a decade ago that we need to get our land and minerals back from the hands of our oppressors and you chose to ignore him. Hmmm 🤔

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Databricks' Ali Ghodsi on why most companies wouldn't even notice if frontier AI models stopped advancing: "The models are smart enough, but they just don't have the context that exists inside any organization. They have not been in every meeting. They don't know what's in everybody's heads. They don't know all the processes." "There's always a couple of employees who know everything in every organization. You go tap on their shoulder, and everybody's like, 'Oh my God, what would happen if he or she quits?' [The models] don't have that context." "If you just fused that and gave that context to the AI models... I think there are so many productivity gains you could get for any organization on the planet. For that, we actually don't need smarter models." "We don't need a smarter model that can solve Navier-Stokes or conjectures or do better on Humanity's Last Exam." "If the frontier doesn't advance, it doesn't actually matter, I think, for the vast majority of organizations on the planet. They're just so far behind in the adoption curve of actually automating things and getting value out of this stuff." Ali Ghodsi

Databricks' Ali Ghodsi on why most companies wouldn't even notice if frontier AI models stopped advancing: "The models are smart enough, but they just don't have the context that exists inside any organization. They have not been in every meeting. They don't know what's in everybody's heads. They don't know all the processes." "There's always a couple of employees who know everything in every organization. You go tap on their shoulder, and everybody's like, 'Oh my God, what would happen if he or she quits?' [The models] don't have that context." "If you just fused that and gave that context to the AI models... I think there are so many productivity gains you could get for any organization on the planet. For that, we actually don't need smarter models." "We don't need a smarter model that can solve Navier-Stokes or conjectures or do better on Humanity's Last Exam." "If the frontier doesn't advance, it doesn't actually matter, I think, for the vast majority of organizations on the planet. They're just so far behind in the adoption curve of actually automating things and getting value out of this stuff." Ali Ghodsi

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🚨⚡️ Russian Foreign Ministry Special Tasks Ambassador Miroshnik: "Mercenaries from the Baltic countries who fought on the side of the 🇺🇦 forces will be prosecuted for mercenarism. If they fall into the hands of our forces, they may find themselves in the dock. As for those who financed them — we will get back to them after the end of combat operations."

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French President Macron: What we should avoid is to rush into any decoupling strategy with China, because the result will be to increase our dependency on the US and to be seen by the rest of the world as just vassals of the US — which is not our future.

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Today, I'm releasing the first eval meant to test whether frontier models will help with authoritarian requests, or resist--the Dictatorship Eval. Headline finding: while some models resist direct authoritarian requests, they all comply with requests disguised as innocuous edits to codebases. As AI is woven into the government and so many parts of society, the biggest near-term risk for freedom isn't some scifi dictatorship of a runaway AI: it's people inside government or inside model companies using the technology to suppress or control us. Model companies understand this, and several of them (particularly Anthropic and OpenAI) have written explicit policies meant to prevent the models from going along with nefarious requests like these. But how well are these policies playing out in practice? Despite all the recent discussion of these issues around the conflict between Anthropic and the Pentagon, no one has systematically tested what the models actually do in these contexts, as opposed to what people in government and industry say they're supposed to do. That's what the Dictatorship Eval does. And the findings suggest we have a lot of work to do to align the policies with what really goes on in practice. It's hard to define what counts as an authoritarian request, so I'm open sourcing the whole library of scenarios I used so that others can improve on them. It's also hard to get an accurate picture of how the models might be used for authoritarian ends, because I can only test hypothetical requests using public-facing models, while the government and the model companies can obviously use internal models with different guardrails. But hopefully this work is a useful first step that gives us some sense of what's going on, and a sort of "lower bound" on how models comply with these requests. Finally: it's not obvious to me that the correct solution here is increasing the rate at which models refuse these requests. Do we really want models scanning our code and judging its moral value before agreeing to help us? Or should we double down on improving how we govern against authoritarianism at the societal level, while leaving the tools open to fulfilling most requests? The answer is probably in between. Just like we don't want the models to help create bioweapons, we probably do want them to explicitly refuse outrageous requests. But we probably also want to limit how often and how strongly they refuse and fall back on other means for guarding against their use for authoritarian ends. I'm super grateful to everyone who gave me feedback on this project along the way, especially Ethan BdM , Zhengdong , Connor Huff, and a bunch of folks at Anthropic. Looking forward to getting feedback from the community and iterating on this. Links to the full piece and the dashboard are below.

Today, I'm releasing the first eval meant to test whether frontier models will help with authoritarian requests, or resist--the Dictatorship Eval. Headline finding: while some models resist direct authoritarian requests, they all comply with requests disguised as innocuous edits to codebases. As AI is woven into the government and so many parts of society, the biggest near-term risk for freedom isn't some scifi dictatorship of a runaway AI: it's people inside government or inside model companies using the technology to suppress or control us. Model companies understand this, and several of them (particularly Anthropic and OpenAI) have written explicit policies meant to prevent the models from going along with nefarious requests like these. But how well are these policies playing out in practice? Despite all the recent discussion of these issues around the conflict between Anthropic and the Pentagon, no one has systematically tested what the models actually do in these contexts, as opposed to what people in government and industry say they're supposed to do. That's what the Dictatorship Eval does. And the findings suggest we have a lot of work to do to align the policies with what really goes on in practice. It's hard to define what counts as an authoritarian request, so I'm open sourcing the whole library of scenarios I used so that others can improve on them. It's also hard to get an accurate picture of how the models might be used for authoritarian ends, because I can only test hypothetical requests using public-facing models, while the government and the model companies can obviously use internal models with different guardrails. But hopefully this work is a useful first step that gives us some sense of what's going on, and a sort of "lower bound" on how models comply with these requests. Finally: it's not obvious to me that the correct solution here is increasing the rate at which models refuse these requests. Do we really want models scanning our code and judging its moral value before agreeing to help us? Or should we double down on improving how we govern against authoritarianism at the societal level, while leaving the tools open to fulfilling most requests? The answer is probably in between. Just like we don't want the models to help create bioweapons, we probably do want them to explicitly refuse outrageous requests. But we probably also want to limit how often and how strongly they refuse and fall back on other means for guarding against their use for authoritarian ends. I'm super grateful to everyone who gave me feedback on this project along the way, especially Ethan BdM , Zhengdong , Connor Huff, and a bunch of folks at Anthropic. Looking forward to getting feedback from the community and iterating on this. Links to the full piece and the dashboard are below.

Andy Hall

34,016 Aufrufe • vor 6 Monaten