Apparently there was already a discussion of this talk here after it was given live. But I missed it. So now will do: I do care about potential AI harms, but disagree with pretty much everything he says here! will elaborate in the response.

I am recruiting several graduate students (both MSc and PhD level) for Fall 2026 @ChandarLab! The application deadline is December 01. Please apply through the @Mila_Quebec supervision request process here: https://t.co/4UfkKPMRHn. More details about the recruitment process

Thank you @CP3events @CP3 for the amazing pic from the dunk contest! Had a great time at the camp!!!

I can't attend #ICCV 2025 in Honolulu, Hawaii but my amazing teammates will be there! Please stop by our poster tomorrow 21 Oct (#438) to learn about TAPNext, a general, ViT-like architecture with SOTA point tracking quality! Links: 🌐 website: https://t.co/FILiZsVgQa

In Fall 2026, I will begin a tenure-track faculty position @JHUCompSci Announcing the SciPhy lab, where we will study the science of physical agents (robots) We are now recruiting our first cohort of PhD students. If this is you, see https://t.co/heSKsCbWz7

💫 Why you should apply to Mila – Québec AI Institute Mila is more than a research institute, it truly feels like a home. Being surrounded by kind, humble, and brilliant researchers makes every discussion inspiring and every challenge exciting.

Our kids have been riding the same bus for over 50 years! Totally unacceptable! It's time for an update! Here are some remodel ideas. Anything would be better than what it currently is! Let's show the next generation some love and get them a nicer and safer new ride! Perhaps some

@Mila_Quebec's annual supervision request process is now open to receive MSc and PhD applications for Fall 2026 admission! We have open positions for PhD students to work on data management systems and software systems more broadly! Reach out if interested.

Apply to join one of the top AI research 🤖 institutes in the world in the wonderful city of Montréal! I will be recruiting 1-2 students this year. Just mention my name in your application.

Mila is the only academic institute in the world with 1500+ AI researchers in one place! Want to join this greatest concentration of AI talent? Apply now!

Markovian Thinking by @Mila_Quebec & @Microsoft lets LLMs reason with a fixed-size state – compute stays the same no matter how long the reasoning chain gets. This makes RL linear-cost and memory-constant. The team’s Delethink RL setup trains models to be Markovian Thinkers,

Guysss u seee this event?

Thanks for sharing, @TheTuringPost We propose Markovian Thinking as a new paradigm, and Delethink as a simple, concrete instantiation enabling constant-memory, linear-compute reasoning that keeps improving beyond training limits.

Nice paper! Make the context for reasoning local and train an RL model with such truncation. This way the model "markovinifies" and makes use of its context efficiently!

It’s clear next-gen reasoning LLMs will run for millions of tokens. RL at 1M needs ~100× compute than 128K. Our Markovian Thinking keeps compute scaling linear instead. Check out Milad’s thread; some of my perspectives below:

Long reasoning without the quadratic tax: The Markovian Thinker makes LLMs reason in chunks with a bounded state → linear compute, constant memory and it keeps scaling beyond the training limit. 1/6

GOD'S UNLIKELY WARRIORS - TAKE YOUR POST One of the great truths of Scripture is that God consistently chooses the least expected people to accomplish His greatest purposes. He used Moses, who doubted himself; David, who was overlooked; and even Cyrus, a pagan king, to restore

Introducing linear scaling of reasoning: 𝐓𝐡𝐞 𝐌𝐚𝐫𝐤𝐨𝐯𝐢𝐚𝐧 𝐓𝐡𝐢𝐧𝐤𝐞𝐫 Reformulate RL so thinking scales 𝐎(𝐧) 𝐜𝐨𝐦𝐩𝐮𝐭𝐞, not O(n^2), with O(1) 𝐦𝐞𝐦𝐨𝐫𝐲, architecture-agnostic. Train R1-1.5B into a markovian thinker with 96K thought budget, ~2X accuracy 🧵

I moved out of my home in 2008 and I still call my mom every day! If you read this and you don’t call your parents everyday, call them NOW! The love parents have for their kids is priceless! I realized it only after I became a father myself!

I’ve been working with Mathieu for more than 1.5 years and I can vouch that he’s an excellent researcher and a great mentor. I’m also attending @COLM_conf this time, and would love to chat with anyone about LLM post-training, reinforcement learning, and AI for Science!

If you are attending @COLM_conf and looking to hire a research scientist, I highly recommend you talk to my postdoc, Mathieu Reymond, who is in the job market and at the conference! Mathieu is an expert in mult-objective RL, multi-agent RL, RL for scientific discovery, and RL for

@karenvaites Honestly, my takeaway from this isn't that tracking is bad, it's that teachers can't be trusted to do it right. Which, functionally, might be the same thing.

✨ What if we could tune Frontier LLM agents without touching any weights? Meet JEF-Hinter, an agent capable of analyzing multiple offline trajectories to extract auditable and timely hints💡 In our new paper 📄 , we show significant performance gains on downstream tasks ⚡ with

I am not at @COLM_conf, but most of my students are! If you are attending CoLM and are interested in PhD and postdoc positions @ChandarLab, please talk to my students and postdocs who are at the conference this week! We have 2 open postdoc positions and multiple PhD positions!

Looking forward to talking about explainable AI at @Mila_Quebec’s first Community of Practice event! Registrations open now!