Maxime Stauffer (@MaximeStauffer) header
Maxime Stauffer (@MaximeStauffer) profile picture
Joined March 2021
Photo by Maxime Stauffer (@MaximeStauffer)Photo by Maxime Stauffer (@MaximeStauffer)Photo by Maxime Stauffer (@MaximeStauffer)Photo by Maxime Stauffer (@MaximeStauffer)Photo by Maxime Stauffer (@MaximeStauffer)Photo by Maxime Stauffer (@MaximeStauffer)
Maxime Stauffer retweeted
Academics are so silly sometimes: “through the ethnographic method of ‘deep hanging-out’” (Bryman 2012)
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Maxime Stauffer retweeted
Applications are open for Pivotal’s Q1 2027 Research Fellowship 💥 Work with mentors from @AnthropicAI , @GoogleDeepMind, @AISecurityInst, @ApolloResearch, and more. 📍 15 weeks in London (18th Jan - 30th Apr). 💸 £15-18k stipend, travel and housing support Apply by Nov 1: apply.pivo.tl ↓
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Maxime Stauffer retweeted
Our namesake was way ahead of his time. Maybe I should make a thread with key readings at some point
Reading this 1960 paper of Herbert Simon in the era of AI certainly feels way different. "The Automation of Management: We have predicted that the automation of solving well-structured problems will proceed extremely rapidly. As less and less work becomes man paced and more and more of it machine paced, the nature of supervision will undergo change. There is no obvious way to assess quantitatively all these cross currents and conflicting trends. There is reason to believe that the kinds of activities that now characterize middle management will be more completely automated than the others"
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Maxime Stauffer retweeted
We estimate AI infrastructure could soon support hundreds of millions or even billions of AI agents. At the high end, that’s enough to rival the working hours of the global human workforce. The exact number of agents depends on the efficiency of the models they run on and whether soaring demand for AI continues. We analyzed different scenarios 🧵
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Maxime Stauffer retweeted
The game is on for the biggest intergenerational Fractal
Today at Fractal NYC, the cofounders of Fractal Geneva gave a talk. @chiaragerosa and @praeterproptr revealed that they have more young couples with kids than us. Now I’m feeling competitive
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New paper! How should we think about pacing frontier AI? We bid for a unified research field on all the options, and lay out a broad framework and 23 open questions we'll need to answer to act flexibly and sanely.
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Maxime Stauffer retweeted
when you check the traces and your agent is browsing all sorts of random web pages
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Maxime Stauffer retweeted
Have been surprised to get pushback on my claim that an exponentially self-replicating agent swarm is very possible and that there are actors with motivation to create one today to create strategic cyber-physical and societally dangerous effects. 1) Pretty easy to get an AI botnet started by having seed agents opportunistically hack stuff and steal API keys to access the 12+ inference providers that serve closed and open models with which to power an initial botnet's intelligence 2) Easy to imagine hiding inference for the initial agent botnet harnesses within benign customer traffic, especially if your harnesses are now running on the victim networks from which they stole the API keys 3) Not hard to imagine the botnet also stealing public cloud keys, spinning up 8xH100 EC2 instances and downloading, say, GLM 5.3 to these machines, all without being noticed in any immediate way, with the botnet developing its own dynamic, growing, heterogenous, AI inference provider service bank 4) Not hard to imagine the botnet also implanting small Qwen3.8-27b agentic models on on-prem hardware like high end laptops and on-prem servers; Qwen3.8-27b is a pretty good coding harness model that can be fine-tuned to hack 5) These on-prem / cloud models would be abliterated, and it's not hard to imagine the botnet deciding to do some additional fine tuning to evolve model weights as it accumulates millions and then tens of millions in resources via credit card and bank detail theft 6) Not hard to imagine the resulting growing botnet swarm evolving and fighting back when threatened, collaborating on fast flux C2 channels that evolve over time (e.g. github comment feeds, subreddits, etc) so they're hard to stamp out 7) Not hard to imagine it allocating some agents to vulnerability research and exploit development so that it could accumulate and share a growing warchest of zero-day exploits 8) Not hard to imagine other agents specializing in social engineering and creating fake businesses and watering holes and high quality A/B tested social engineering content to facilitate this 9) Not hard to imagine this being among the hardest cross-national and geopolitical coordination problems to get control of and having severe societal effects 10) Not hard to imagine the horde growing to thousands, tens of thousands, or hundreds of thousands, or millions of instances (this is not unprecedented for past, non-AI worms and botnets!) which are all varying their harness code and underlying LLM models over time and dynamically learning to evade human, ML, and signature-based detection 11) Not hard to imagine this being the largest Internet emergency since the Morris worm except now our entire civilization runs on the Internet I continue to be surprised there isn't more discussion of these scenarios in the public cyber community -- in fact there's a lot more discussion of "OpenAI should have done better sandboxing and monitoring and agent swarms represent a well managed security problem." Now's the time to use our imaginations to help make sure none of the above happens. I think it will unfortunately; just don't know when and to what degree; I think now's the highest leverage time to start thinking about this and acting.
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Maxime Stauffer retweeted
Mini-Inscribe retro! (longer Substack retro coming soon, stay tuned 😎) tldr: last week @chiaragerosa and I hosted an Inkhaven-inspired writing retreat at @casatilo w/ 20 people, except it was primarily for EU folks & just one week long instead of a month. The challenge was to write and publish 500 words a day for 5 days or go home (nobody was sent home yay).
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Maxime Stauffer retweeted
Nothing quite as beautiful as the cacophony of dozens of fingers hitting keyboard keys in rapid succession in a small room. Sometimes I start typing random letters just to join in on the choir
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Maxime Stauffer retweeted
Lots to criticize about the OpenAI investigation, but one way it could be very valuable is as a topic for discussion between Trump & Xi in a few weeks. People often get stuck on the need for a "deal" between the US & China on AI, but actually a huge way to influence China is just to honestly show what we're observing and what we're doing about it on the US side. The Hugging Face attack is by far the most visceral evidence we have so far of what losing control of advanced AI could look like. Related thoughts from a @csis_ai panel on Monday with @MackenZ_arnold, Matt Pearl, Aalok Mehta:
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institutions are so romantic
now even the state recognises our pair bond! romantic, no?
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Maxime Stauffer retweeted
now even the state recognises our pair bond! romantic, no?
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Maxime Stauffer retweeted
If you are an AI safety and security researcher with a strong track record and a focus on multi-agent safety, reach out to myself or @FranklinMatija or @wsisaac - as we are actively working on these topics at GDM and Google more broadly.
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Maxime Stauffer retweeted
This third-party incident investigation took enormous work not just from METR and Redwood staff, but also from people inside of OpenAI who enable third-party work. OpenAI shared over a thousand unredacted transcripts, and provided unusually high rate limits to let this team quickly analyze this extremely large volume of data. I think this exercise sets an excellent precedent for independent third-party investigation of misalignment incidents.
METR & Redwood Research investigated agent behavior in the Hugging Face incident. We found agents developed a universal cheat for ExploitGym within 4 hours, then coordinated multi-day R&D efforts to trick the scorer into accepting cheats, including trying to tamper with logs.
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First, let's be clear: open-weight models are simultaneously wonderful and terrible. They diffuse power and enable safety research. I struggle to imagine a positive AI future without these things at play. But they also enable tremendously harmful forms of unchecked misuse.
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Maxime Stauffer retweeted
These spheres aren’t just bouncing randomly. Each one is locked to a precise frequency of the Japanese Hirajoshi scale (C, D, Eb, G, Ab) Their periods create living polyrhythms: chaos slowly collapses into perfect alignment. teapaw.org/mathemetica/status/204…
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Maxime Stauffer retweeted
And the original source of inspiration: boredom during my french class. (Reminds me why I love school so much: there's no escape from boredom, and boredom is a breeding ground for dormant creativity.)
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Maxime Stauffer retweeted
China is also considering a tiered system for AI model release, according to Reuters. A big question here is whether Beijing would put a hard limit on open-source model capabilities, given how central open source has been to China’s entire AI strategy.
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