Information theory was not built to explain algorithmic phenomena. It's a beautiful framework for arguing about the limits of information: what can be communicated, stored, retrieved, compressed etc. Most attempts I've seen at forcing IT onto AI feel like trying to make coffee with a katana. Magnificent instrument but wrong job :)

Once you factor in how much tax you pay, Canada probably has the worst health system amongst any developed nation. It’s insane.

Healthcare in Canada is truly universal. You can be dirt poor or filthy rich, you’ll get the same treatment: absolutely nothing, unless you’re already half-dead, being born, or giving birth. It’s beautiful

The FAIR Montréal office is expanding! We're looking for folks to join us who are exciting about world modelling. Hiring for both recent grads as well as more experienced researchers. Feel free to reach out, but please read the posting first :) metacareers.com/profile/job_…

Video models as Physics simulators. 🌍🎥 [1/] In our latest work, WinDiNet, we finetuned a pre-trained video model into a differentiable physics engine. 1000x faster than traditional CFD solvers. Project page: rbischof.github.io/windinet_… Abs: arxiv.org/abs/2603.21210

🚨 Attention aspiring PhD students 🚨 Meta / FAIR is looking for candidates for a joint academic/industry PhD! Keywords: AI for Math & Code. LLMs, RL, formal and informal reasoning. You will be co-advised by prof. @Amaury_Hayat from ecole des ponts and yours truly. You'll have the opportunity to collaborate with the excellent FAIR codegen team and fellow FAIR PhD students in Paris, have access to state of the art pre- and post-training infra, and significant amounts of compute. A joint industry / academic PhD gives you the best of both worlds: academic freedom, open science & open source, a ton of compute, and talented colleagues working as a team. Ideal candidates should have strong engineering & experimentation skills, strong math skills, and a solid understanding of ML & RL foundations. We want to move fast so apply ASAP at the link below!

Great opportunity for robotics research!

Bullish on the Montreal AI ecosystem!

Montreal deep tech scene is getting hot!! Many recent hires of Cohere, Mistral, Periodic Labs, Poolside are all based in Montreal. And now, AMI will have an office here 🔥 It's a no-brainer, though. @Mila_Quebec has the highest concentration of deep learning expertise with interdisciplinary connections. Thanks to recent US regulation changes on immigration, no more brain drain! Let's build more in Canada!

If you're going to ICLR next month and are interested in research at Meta, it's a good idea to come to our event there: events.atmeta.com/iclrnetwor… (I'm unfortunately not going to iclr this year - not sure yet which conference I'll go to)

2 weeks of 2025 work = 1 day of 2026 work I can’t even imagine what 1 day of 2027 will be in 2025 units. What a time to be alive

We're looking to hire at all levels for the FAIR Chemistry team in Meta's Superintelligence Labs! We have three full-time positions posted across research scientist and research engineer positions, new PhD grads to senior research leaders. Links to all of the positions in reply

Accepted at ICLR2026!

We’re buying Canadian, and we’re building Canadian.

Facebook AI Research (FAIR) is a small, prestigious lab in Meta. We don't train large models like GenAI or MSL, so it's natural that we have limited GPUs. GenAI or MSL's success or failure, past or future, doesn't reflect the work of FAIR. It is important to make this distinction

I'll be at NeurIPS on Dec 3-4. Would be happy to meet up and chat about efficient sampling methods from language models ⚡️ Or, catch me at our EB-Sampler poster on Thursday 4:30pm Joint work with @itai_gat, @_dsevero, Niklas Nolte, Brian Karrer

Applications are open for graduate studies @UofTCompSci! Please apply to come work with us (I'll be recruiting students this cycle). I'll also be @NeurIPSConf, if you'd like to discuss joining our department. Deadline: Dec 1 web.cs.toronto.edu/graduate/…

Wait what the hell? #ICLR2026 what are you thinking? Leaking the names of reviewers is bad, but how does reversing any changes (which are overwhelmingly score-increases) make things better? They say it's to prevent collusion... is collusion that rampant? That's a wild sentiment