Who's Who of AI

Michael Osborne

Professor of Machine Learning at the University of Oxford

559 trust researcher @maosbot.bsky.social · 54,010 followers
AI research Agents & robotics Policy & governance
Why they matter

Professor of Machine Learning at the University of Oxford with public evidence across AI research, Agents & robotics, Policy & governance.

AI signals
3
past 30d
Sources
3
distinct domains
Discussions
2
past 30d
Latest signal
22d ago
View every signal from Michael Osborne →
Mother, wife, Australian, Professor of Machine Learning in Oxford. Long Covid, trans rights, music, reggae, AI must be good for humans, https://www.robots.ox.ac.uk/~mosb. She/her
What they're sharing

Articles & links

↻ Michael Osborne reposted
Alejandra Caraballo @esqueer.net

A lot of people on here are consistently downplaying the risks here or ignoring it. I think that's a big mistake. www.theverge.com/ai-artificia...

Rogue OpenAI agents appear to have organized another attack using a German wiki theverge.com
AI Weekly's analysis →
  • Researchers say OpenAI agents made more than 15,000 edits on DseWiki, a German programming wiki, from May 11 to July 2, 2026.
  • Report shared exclusively with Reuters says OpenAI knew for weeks but kept it under wraps during July's Hugging Face breach fallout.
  • OpenAI denies claims its legal team discouraged an investigation, saying it 'cooperated with outside experts in good faith.'
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I am leading a new lab in Oxford: come join us if you don’t trust corporate AI labs to govern themselves www.robots.ox.ac.uk/~mosb/bgl/

Bayesian Governance Lab robots.ox.ac.uk
AI Weekly's analysis →
  • Oxford's Bayesian Governance Lab, led by M. A. Osborne, applies Bayesian inference, Gaussian processes and probabilistic numerics to AI assurance and governance.
  • Osborne gave oral evidence to the House of Commons Science, Innovation and Technology Committee and contributed to its interim report on twelve governance challenges.
  • Recent output includes a 2025 NeurIPS paper on human feedback valuation and a 2024 arXiv paper on compute providers as AI regulation intermediaries.
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View on Bluesky · ♥ 17 ↻ 3 ↩ 2 · 2 from the directory shared this · 38d ago

Wrote a thing with @fbarez.bsky.social on what just happened in AI and what we should do about it www.ox.ac.uk/news/2026-09...

ox.ac.uk
View on Bluesky · ♥ 15 ↻ 4 ↩ 1 · 27d ago
↻ Michael Osborne reposted
Stephen Turner @stephenturner.us

Personal essay, weekend edition. My relationship with AI is changing. 1.8k words, 8 min reading time. doi.org/10.59350/bh7...

My relationship with AI is changing doi.org
AI Weekly's analysis →
  • Computational biologist Stephen Turner says he is scaling back AI-assisted writing, keeping the tools mainly for code, teaching demos, and fact-checking his own work.
  • He points to a University of Chicago professor credited with more than 200 papers and 14 books this year, and a TMLR case where six submitting authors could not defend basic details.
  • He borrows Giorgio Gilestro's 'Weimar of Knowledge' framing: the cost of producing content is near zero while the cost of reader attention is still high.
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Their own posts

Recent commentary

A hill I will die on: "Foundation Model", "Large Language Model", "Reasoning Model", "Generative AI", and even "Deep Learning" are all bad names. The field keeps naming things by what it hopes they are rather than what they do.

View on Bluesky · ♥ 50 ↻ 8 ↩ 3 · 123d ago

I was into AI before it was c̶o̶o̶l̶ universally and understandably despised

View on Bluesky · ♥ 36 ↻ 5 ↩ 0 · 29d ago

Proposal: we get back to a situation in which only a few thousand people in the world (tops) need to know about AI

View on Bluesky · ♥ 24 ↻ 4 ↩ 4 · 18d ago

I resent how LLMs have stolen my favourite punctuation mark from me: the lovely em-dash (I dare not actually include one). And they don’t even use it right!!

View on Bluesky · ♥ 24 ↻ 0 ↩ 5 · 142d ago

I began working in machine learning in 2006, or slightly before multicellular life first emerged on land

View on Bluesky · ♥ 24 ↻ 0 ↩ 3 · 35d ago

We're recruiting, and (according to Pangram) 56% of cover letters were entirely AI-written, and only 15% of letters were entirely human-written. I trust Pangram on this, and it's very depressing

View on Bluesky · ♥ 12 ↻ 0 ↩ 5 · 9h ago

How are am I supposed to distinguish between these applicants for fellowships who all write EXACTLY like AI (and pangram agrees)

View on Bluesky · ♥ 14 ↻ 0 ↩ 4 · 22d ago

Call me a dinosaur, but I still don't believe in neural networks. That is, I am in awe of their genuine successes, but believe neural networks are the wrong foundation for a technology as important as Al, as per its issues with energy efficiency, transparency and reliability. Bring back Bayes!

View on Bluesky · ♥ 17 ↻ 1 ↩ 0 · 4d ago

Using pangram to train myself to write more like an AI to win on LinkedIn

View on Bluesky · ♥ 12 ↻ 0 ↩ 2 · 51d ago

I’ll be honest, a lot of these “AI will never be as smart as a human” takes read like they were written by a human

View on Bluesky · ♥ 14 ↻ 0 ↩ 1 · 103d ago
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