Marc Lanctot

@sharky6000.bsky.social

Research Scientist at Google DeepMind, interested in multiagent reinforcement learning, game theory, games, and search/planning. Lover of Linux 🐧, coffee ☕, and retro gaming. Big fan of open-source. #gohabsgo 🇨🇦 For more info: https://linktr.ee/sharky6000

Google DeepMind's DiffusionGemma Technical Report They feel text diffusion models open up a radically different part of the latency–quality Pareto frontier and hope the report makes it easier for researchers and engineers to understand the model, build on it, and create things we haven’t thought of

Bild

Wikipedia remains one of the most useful things online. No subscription fees, no ads, no stupid pursuit of AI, all curated by relentless nerds. Maybe remember to throw them a few bucks every now and again.

Had a great time @coop-ai.bsky.social summer school yesterday! Learned many new things, was made aware of some great work, and met some people! I got all nostalgic being on UofT campus.. somehow haven't returned to the campus since we left Toronto 14 years ago. Saw some old faves downtown, too 😁🍁🦫🇨🇦

BildAlumni Hall, Victoria collegeBildBild

Retro games deserve the spotlight they earned. 💜 That's why we're proud to support Pixel Arcadia, celebrating retro gaming, preservation, and the people keeping gaming history alive. Join us on August 24!

Bild

True!! I only discovered the power of coding agents in late April.. because it took a lot of mental effort just to entertain changing the approach anf workflow I have used for 15-20 years... 🥹 Better late than never! 😅

Post nicht verfügbar.

My book, Reinforcement Learning from Human Feedback is done! This is the book I wish I had when learning to fine-tune, align, & now post-train models since ChatGPT. The resource has been built by me finding time to study and document the fundamentals on nights and weekends since 2024.

Bild