Who's Who of AI

Melanie Mitchell

Professor at the Santa Fe Institute, AI and cognitive science

981 trust researcher @melaniemitchell.bsky.social · 25,548 followers @melmitchell1 · 0 followers
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Professor at the Santa Fe Institute, AI and cognitive science with public evidence across AI research.

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Professor, Santa Fe Institute. Research on AI, cognitive science, and complex systems. Website: https://melaniemitchell.me Substack: https://aiguide.substack.com/
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Articles & links

Question for Twitter hivemind: Attached is a sentence from the Hugging Face initial report on hacking incident (https://t.co/PuIHBdLCXK). Can anyone explain to me what "executing many thousands of individual actions across a swarm of short-lived sandboxes" means? https://t.co/…

Security incident disclosure — July 2026 huggingface.co
AI Weekly's analysis →
  • The attacker's agent ran 17,000+ actions across short-lived sandboxes, compressing multi-stage lateral movement into a single weekend.
  • Commercial model APIs blocked forensic requests containing real exploit artifacts, forcing Hugging Face to pivot to open-weight GLM 5.2 on private infrastructure.
  • The intrusion entered via a remote dataset RCE loader and configuration template injection, not through the model-serving layer.
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View on Bluesky · ♥ 0 ↻ 0 ↩ 0 · 8 from the directory shared this · 16d ago

Worth revisiting this prescient paper from @mmitchell.bsky.social and others from @hf.co : arxiv.org/abs/2502.02649

Fully Autonomous AI Agents Should Not be Developed arxiv.org
AI Weekly's analysis →
  • Four Hugging Face researchers argue in an arXiv paper that fully autonomous AI agents should not be developed.
  • The paper proposes a five-level autonomy scale, from a Level 1 simple processor to a Level 5 agent that writes and executes its own code.
  • Their central claim is that risks to people scale with how much control the user cedes to the agent.
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View on Bluesky · ♥ 74 ↻ 16 ↩ 3 · 2 from the directory shared this · 29d ago

Yet another way to jailbreak LLMs: When asking them for forbidden information, make them think the request is part of their chain-of-thought: arxiv.org/abs/2603.12277

Prompt Injection as Role Confusion arxiv.org
AI Weekly's analysis →
  • A new ICML 2026 paper argues prompt injection succeeds because LLMs judge the source of text by how it sounds, not by role tags.
  • The authors' role probes show injected text lands in the same representational space as the trusted role it imitates, predicting attack success before generation.
  • Their CoT Forgery attack hits around 60% success on frontier models, while a destyling defense reportedly drops success from 61% to roughly 10%.
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View on Bluesky · ♥ 67 ↻ 18 ↩ 1 · 2 from the directory shared this · 38d ago

I'm just now reading @randomwalker.bsky.social's writeup of his ICML keynote. It is very insightful. Everyone thinking about the future of work in the age of AI should read this. www.normaltech.ai/p/what-will-...

What will be left for us to work on? normaltech.ai
View on Bluesky · ♥ 88 ↻ 19 ↩ 3 · 6 from the directory shared this · 36d ago

I wrote a piece for the Yale Review on AI and "jagged intelligence". (Note: headline was not written by me.) yalereview.org/article/mela...

Melanie Mitchell: The Dangerous Unknowns at the Heart of LLMs yalereview.org
AI Weekly's analysis →
  • AI systems excel on some tasks while failing surprisingly on similar ones, a pattern Mitchell calls 'jagged intelligence.'
  • Ilya Sutskever, OpenAI cofounder, is quoted saying LLMs 'generalize dramatically worse than people' in a way that is 'very fundamental.'
  • Mitchell says AI researchers, herself included, are still struggling to design effective evaluation methods for LLMs' uneven capabilities.
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View on Bluesky · ♥ 126 ↻ 36 ↩ 8 · 5 from the directory shared this · 91d ago

Also, Shannon's original proposals for language modeling? And even earlier, Markov chains? In case it's helpful, I wrote a bit about the history here: oecs.mit.edu/pub/zp5n8ivs...

oecs.mit.edu
View on Bluesky · ♥ 11 ↻ 0 ↩ 0 · 54d ago
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Recent commentary

The ultimate tldr on the OpenAI "rogue model" hacking incident 😅 (h/t @linege1 on X) But it would be useful to know the prompts OpenAI gave to the model....

View on Bluesky · ♥ 136 ↻ 47 ↩ 8 · 46d ago

Why is Google AI Overview still so incredibly bad??

View on Bluesky · ♥ 39 ↻ 2 ↩ 12 · 69d ago

Who wants to read yet another think piece on the OpenAI / Hugging Face incident? Choices: (1) Stop, enough already! (2) I still have questions (3) Yes, please write one! Let me know your choice, and if you still have questions, what are they?

View on Bluesky · ♥ 34 ↻ 0 ↩ 15 · 5d ago
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