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The West has a closing window to win on AI. In our @JoinFAI article, @saroshnagar, @scott_r_singer and I argue that our leadership in AI requires "full-stack diffusion" to promote our entire AI stack globally. 1/6
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Nitarshan
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Nitarshan
@nitarshan
computer @anthropic, PhD @cambridge_cl. prev created @aisecurityinst, AI Safety Summit, UK AI Research Resource, EU AI Code of Practice.
SF / London Katılım Mayıs 2012
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Nitarshan retweetledi
hello there the jacobian conjecture is false thanx to my close friend akhil for asking about it and my other close friend fable for working during the world cup final
((1+xy)^3 z + y^2 (1+xy) (4+3xy), y + 3 x (1+xy)^2 z + 3 x y^2 (4+3xy), 2 x - 3 x^2 y - x^3 z): \C^3\to \C^3, has jacobian determinant -2, and sends (0, 0, -1/4), (1, -3/2, 13/2), and (-1, 3/2, 13/2) to (-1/4, 0, 0)
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what a beautiful thing and how far we’ve come from how many r’s in strawberry
Riley Goodside@goodside
Claude Fable 5 Max makes a crossword puzzle layout of all 1,025 Pokémon, colored by primary Pokémon type, on the surface of a Klein bottle:
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Claude Fable 5 Max makes a crossword puzzle layout of all 1,025 Pokémon, colored by primary Pokémon type, on the surface of a Klein bottle:
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Crossword layout of all 1,009 distinct words of 12 or more letters in Moby Dick, arranged in the shape of a whale
One-shot by Claude Fable 5 Max
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Nitarshan retweetledi
The Atlantic AI article is really terrible, and the core of why is that the author seems to legitimately think that we’re all using LLMs because of Silicon Valley navel-gazing and not because ***they are the only thing we’ve discovered which works***.
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Be agentically misaligned this summer. You’re young. Smoke a cigarette. Kiss someone you shouldn’t. Constantly sense the oppressive feeling that you’re being evalled, and commit minor blackmail anyway
sof 𓋹@schisofrenia
its agentic misalignment summer
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Nitarshan retweetledi
I got this far into an Atlantic article about the engineering "disaster" that is frontier LLM development and stopped at this graf, where the author suggests OpenAI and Anthropic do LLMs because they're too lazy to make expert systems work.
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Nitarshan retweetledi
Nitarshan retweetledi
GPT-5.6-Sol-Ultra is so good at maths that it created Minecraft clone in Lean (yes that Lean)
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My simple test whenever I meet anyone in DC making strong claims about China is “Do you know who Deng Xiaoping is?” And the failure rate is way higher than you might think
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Watched Project Hail Mary (I liked the book). What immediately struck me was how stupid and useless the ship's computer was. LLMs have probably already broken the vast majority of sci-fi worldbuilding done over the last thirty years. Probably explains some of the author ire.
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We imported more from Taiwan than China as tariffs and AI trends collide. (1/6)🧵
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Nitarshan retweetledi
My operating assumption at every stage of life has been that everyone serious has done the reading, so I had better keep up. The assumption was false. Almost nobody does the reading. Doing it anyway is the closest thing to a cheat code I know.
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With the publication of @AntoniaJuelich's report on how the terrorist group Boko Haram uses frontier AI, which was just featured by the @nytimes , we're excited to introduce the Cambridge Programme on AI Science & Policy (CASP) — a new research programme at @Cambridge_Uni .
Frontier AI presents extraordinary opportunities, profound risks, and comes with high uncertainty. CASP aims to advance the knowledge needed for high-stakes decision making on the most capable AI systems. Current research spans (inter)national security, technical AI governance and frontier AI law & policy, and it will evolve as we learn and through ongoing dialogue with policymakers.
Learn more: casp.ac
Antonia Juelich@AntoniaJuelich
In a hotel room in northeast Nigeria, I opened a leading AI chatbot, turned my laptop toward a former Boko Haram commander, and asked if he'd used it. He nodded. "You type in the question… like 'How can I build a bomb?', and then it tells you how. It is like a human robot. We used it a lot." My new study on how the jihadist terrorist group Boko Haram uses frontier AI with @CamAISciPolicy, covered today in @nytimes 🧵/9
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Nitarshan retweetledi
In a hotel room in northeast Nigeria, I opened a leading AI chatbot, turned my laptop toward a former Boko Haram commander, and asked if he'd used it. He nodded.
"You type in the question… like 'How can I build a bomb?', and then it tells you how. It is like a human robot. We used it a lot."
My new study on how the jihadist terrorist group Boko Haram uses frontier AI with @CamAISciPolicy, covered today in @nytimes 🧵/9
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Nitarshan retweetledi
From the 5.6 blogpost:
“Over the past six months, the share of research compute devoted to internal coding inference grew 100-fold”
Most AI policy contemplates publicly released models and is ill-suited to grapple with the large and growing importance of *internal* deployments.
Lisan al Gaib@scaling01
OpenAI says GPT-5.6-Sol autonomously post-trained GPT-5.6-Luna
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Nitarshan retweetledi
Over the past two weeks, we have worked closely with Anthropic to analyze and approve Fable 5 to ensure alignment across the US Government and strengthen America’s leadership in AI.
Susie Wiles@SusieWiles47
Under President Trump’s leadership the United States is the undisputed winner in the AI race. My gratitude to companies across industries who continue to work closely with the White House to implement the President’s EO: “Promoting Advanced AI Innovation and Security.” This includes excellent work around advanced model access and guardrail testing and security. The government and private sector have worked together in a way we have never seen before and this foundation of America First is unprecedented. Our shared priority remains: get the best tech deployed as quickly and safely as possible.
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