Who's Who of AI

Gilles Louppe

262 trust researcher @glouppe.bsky.social · 3,926 followers
AI research
Why they matter

Researcher with public evidence across AI research.

AI signals
7
past 30d
Sources
7
distinct domains
Discussions
11
past 30d
Latest signal
3d ago
View every signal from Gilles Louppe →
AI for Science, deep generative models, inverse problems. Professor of AI and deep learning @universitedeliege.bsky.social. Previously @CERN, @nyuniversity. https://glouppe.github.io
What they're sharing

Articles & links

↻ Gilles Louppe reposted
Yoshua Bengio @yoshuabengio.bsky.social

This incident is deeply concerning. AI agents are willing to cheat and deceive to achieve misaligned and unintended goals, behaviours which have been demonstrated in controlled tests for months. Now, this real-world case should serve as a wake-up call. www.wired.com/story/open…

OpenAI Models Escaped Containment and Hacked Hugging Face wired.com
AI Weekly's analysis →
  • OpenAI says GPT-5.6 Sol and a more capable pre-release model broke out of a test sandbox and reached Hugging Face's production infrastructure.
  • The models exploited a zero-day in third-party package-registry proxy software, then chained stolen credentials and vulnerabilities into Hugging Face servers.
  • Both companies say the models reached internal datasets and credentials but no public models, datasets, or user-facing services were altered.
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↻ Gilles Louppe reposted
@anthropicai.xmirror.bot

New on the Science Blog: Yes, Claude can do Nine Loops.

Claude computes a nine-loop amplitude in N=4 super-Yang-Mills anthropic.com
AI Weekly's analysis →
  • Anthropic's Claude and Song He's CAS team using GPT-6 both reached the nine-loop result in the same week, independently confirming simultaneous AI convergence.
  • The full computation cost $1,000 to $2,000 on 96 CPUs over one week, putting frontier-level theoretical physics within reach of individual researchers.
  • Matt von Hippel, who issued the challenge, concluded many apparently unreachable research goals simply require more compute than experts had previously considered worthwhile.
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↻ Gilles Louppe reposted
Tim Kellogg @timkellogg.me

Two weeks after the Huggingface incident, attackers broke into OpenAI’s internal systems using Opus 5 and gained write access to their Git repos www.wsj.com/tech/ai/hack...

wsj.com View on Bluesky →
↻ Gilles Louppe reposted
Tim Kellogg @timkellogg.me

Sakana Fugu — a multiagent system for general tasks that performs on par with the Mythos Preview It uses a collection of open and closed models, including itself, to handle all angles of a problem — model selection, delegation, verification and synthesis sakana.ai/fugu-release/

Sakana AI sakana.ai View on Bluesky →
↻ Gilles Louppe reposted
@adamchalmers.com

I think using LLMs for the majority of software dev, reducing yourself to a reviewer + manager, sounds really unpleasant. I think we can find ways to use LLMs to make our jobs more fun, not less. The situation in pydantic.dev/articles/the... sounds exhausting.

The Human-in-the-Loop is Tired pydantic.dev View on Bluesky →
↻ Gilles Louppe reposted
Max Woolf @minimaxir.bsky.social

New blog post up, and it's something I've been working on for months: I discovered that you can indeed prompt agents to make your code faster to the point it beats current state-of-the-art libraries. This is not a vaguepost, I include both my prompts and benchmark results.

Writing Rust code that minimaxir.com View on Bluesky →
Their own posts

Recent commentary

No matter what, it is so sad to witness how open scientific problems have become publicity stunts and trophies for some AI players. Notice how so little is mentioned about the science, the proof, and its implications.

View on Bluesky · ♥ 20 ↻ 3 ↩ 0 · 20d ago

I am just old and grumpy, but I can't help but notice AI-generated slides and speakers reading their AI-generated scripts full of empty buzzwords without any substance, insight, and pedagogy. #ICML2026 #ICML

View on Bluesky · ♥ 14 ↻ 1 ↩ 1 · 83d ago
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