Marc Lanctot
banner
sharky6000.bsky.social
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
Pinned
Hello all! 👋 🚨 New Preprint Alert! 🚨

Code World Models for General Game-Playing. ♟️🎲 ♣️♥️♠️♦️

I am pleased to announce our new paper, which provides an extremely sample-efficient way to create an agent that can perform well in multi-agent, partially-observed, symbolic environments!

🧵 1/N
Reposted by Marc Lanctot
I’m really excited about our release of Gemini 3 today, the result of hard work by many, many people in the Gemini team and all across Google! 🎊

blog.google/products/gem...

Gemini 3 performs quite well on a wide range of benchmarks.
November 19, 2025 at 2:53 AM
Reposted by Marc Lanctot
Learn more about how Gemini 3 can help you learn, build and plan anything → goo.gle/4oUEkVu
A new era of intelligence with Gemini 3
Today we’re releasing Gemini 3 – our most intelligent model that helps you bring any idea to life.
goo.gle
November 18, 2025 at 4:53 PM
Reposted by Marc Lanctot
Reposted by Marc Lanctot
Gemini 3 is now available for developers ✨⁠

Combined with its advanced understanding of the real world, Gemini 3 Pro is our most intelligent model for building complex apps.

goo.gle/43ADuV6
Start building with Gemini 3
Gemini 3 is introducing advanced agentic coding capabilities, plus Google Antigravity, a new agentic development platform.
goo.gle
November 18, 2025 at 4:22 PM
Reposted by Marc Lanctot
🤖 Welcome Gemini 3 Pro Preview to Kaggle Benchmarks!

Google's new state-of-the-art LLM topped 14 of the 16 leaderboards we analyzed, showing significant improvements in factuality.

More details in the thread 🧵
November 18, 2025 at 5:15 PM
Reposted by Marc Lanctot
A new tab on Google Scholar???
scholar.google.com/scholar_labs...
November 18, 2025 at 5:48 PM
Clarification on recent AI doomer speculation.

I was confused by this recent move to invest big a few days ago given the article quoted below by Globe & Mail (Oct 7th, '25). 👇

It felt it was inconsistent with the portrayal of Buffet's opinion in October.

1/2

www.cnbc.com/2025/11/14/w...
November 18, 2025 at 12:39 PM
Reposted by Marc Lanctot
Physical Intelligence has a recipe for real world RL on top of VLAs and it looks impressive: www.pi.website/blog/pistar06
A VLA that Learns from Experience
A method for training our generalist policies with RL to improve success rate and throughput on real-world tasks.
www.pi.website
November 18, 2025 at 12:41 AM
It took years of online discussion, mailing lists, social media, forums, etc. to realize sometimes we need a code of conduct.

Now we will need them for conferences. 😧

Hopefully we design strict ones. This is not ok. We should not tolerate any amount of it.
"If you have a mental problem, go to hospitals and see the doctor" now displacing "maybe the reviewers should take up yoga" for the most hostile ICLR review
November 15, 2025 at 12:34 AM
Reposted by Marc Lanctot
New (sort of) preprint on arXiv today: a generalized bias-variance decomposition for Bregman divergences! arxiv.org/abs/2511.08789
A Generalized Bias-Variance Decomposition for Bregman Divergences
The bias-variance decomposition is a central result in statistics and machine learning, but is typically presented only for the squared error. We present a generalization of the bias-variance decompos...
arxiv.org
November 13, 2025 at 8:44 PM
Reposted by Marc Lanctot
Can't tell you how great it is to finally be able to release and talk about this work, SIMA 2, the next step toward embodied intelligence in rich, interactive 3D worlds!

deepmind.google/sima
SIMA 2: A Gemini-Powered AI Agent for 3D Virtual Worlds
Introducing SIMA 2, the next milestone in our research creating general and helpful AI agents. By integrating the advanced capabilities of our Gemini models, SIMA is evolving from an instruction-foll…
deepmind.google
November 13, 2025 at 3:20 PM
Reposted by Marc Lanctot
What aspects of human knowledge do vision models like CLIP fail to capture, and how can we improve them? We suggest models miss key global organization; aligning them makes them more robust. Check out LukasMuttenthaler's work, finally out (in Nature!?) www.nature.com/articles/s41... + our blog! 1/3
Aligning machine and human visual representations across abstraction levels - Nature
Aligning foundation models with human judgments enables them to more accurately approximate human behaviour and uncertainty across various levels of visual abstraction, while additionally improving th...
www.nature.com
November 12, 2025 at 4:50 PM
Reposted by Marc Lanctot
📣 Hackathon Launch Alert! Google Tunix Hack - Train a Model to Show Its Work hosted by Google Cloud

🎯 Train Gemma models to show reasoning using Tunix
💰 $100,000 Prize Pool
⏰ Final Submission: Jan 12, 2026

kaggle.com/competitions/google-tunix-hackathon
Google Tunix Hack - Train a model to show its work
Teach a LLM to reason using Tunix, Google’s new JAX-native library for LLM post-training.
kaggle.com
November 12, 2025 at 6:02 PM
Reposted by Marc Lanctot
📣 #ICML tutorials: We want to know what *you* would like to learn. This year, Adam White and I are calling for nominations of topics and/or presenters.

Until December 7th, you can send us your suggestions, and we will use them to shape the program.

icml.cc/Conferences/...
ICML 20256 Call For Tutorials
icml.cc
November 12, 2025 at 8:12 AM
I love this photo (screenshot from LinkedIn). Imagine trying to explain one of your academic posters to the prime minister! 😅
November 12, 2025 at 1:08 AM
TIL...! 🫠
November 11, 2025 at 10:11 PM
Reposted by Marc Lanctot
I'm hiring a student researcher for next summer at the intersection of MARL x LLM. If you're a phd student with experience in MARL algorithm research, please apply and drop me an email so that I know you've applied! www.google.com/about/career...
Student Researcher, PhD, Winter/Summer 2026 — Google Careers
www.google.com
November 7, 2025 at 4:31 AM
Reposted by Marc Lanctot
Do you know someone qualified to be an Area Chair for #ICML2026?🤔

(...maybe yourself?)

If so, then nominate them to be an Area Chair! Nomination closes November 17, 2025, so don't delay!🚀🚀🚀

Nomination form: docs.google.com/forms/d/e/1F...
November 7, 2025 at 4:45 PM
Such a cool idea! Love to see this.
Getting to be an Area Chair can often by an opaque process, and it can sometimes feel nepotistic or an old boys club.

ICML is taking steps against that! Nominate yourself or other qualified researchers in the field to be an Area Chair!
Do you know someone qualified to be an Area Chair for #ICML2026?🤔

(...maybe yourself?)

If so, then nominate them to be an Area Chair! Nomination closes November 17, 2025, so don't delay!🚀🚀🚀

Nomination form: docs.google.com/forms/d/e/1F...
November 7, 2025 at 5:15 PM
Ladies and gentlemen, the weekend.

Gotta share this awesome remix released just yesterday by two of my all time fave famous EDM artists. 🙏🎶

youtu.be/GuGL4uCMJ9Y?...
Daft Punk - Harder, Better, Faster, Stronger (deadmau5 Remix)
YouTube video by Proximity
youtu.be
November 7, 2025 at 5:10 PM
Reposted by Marc Lanctot
New Google DeepMind paper: "Consistency Training Helps Stop Sycophancy and Jailbreaks" by @alexirpan.bsky.social, me, Mark Kurzeja, David Elson, and Rohin Shah. (thread)
November 4, 2025 at 12:18 AM
Reposted by Marc Lanctot
First paper since switching into AI safety team🎉

We look at problems that could be solved if the model behaved consistently over a set of prompts, and tried training that in output space and internal activations. Both were effective. See thread or paper for details.
New Google DeepMind paper: "Consistency Training Helps Stop Sycophancy and Jailbreaks" by @alexirpan.bsky.social, me, Mark Kurzeja, David Elson, and Rohin Shah. (thread)
November 5, 2025 at 6:26 PM
Reposted by Marc Lanctot
Researchers are using LLMs to analyze the literature, brainstorm hypotheses, build models and interact with complex datasets. Hear from @mschrimpf.bsky.social, @neurokim.bsky.social, @jeremymagland.bsky.social, @profdata.bsky.social and others.

#neuroskyence

www.thetransmitter.org/machine-lear...
How neuroscientists are using AI
Eight researchers explain how they are using large language models to analyze the literature, brainstorm hypotheses and interact with complex datasets.
www.thetransmitter.org
November 4, 2025 at 4:07 PM
Reposted by Marc Lanctot
Excited to release our new work: Petri Dish Neural Cellular Automata!

pub.sakana.ai/pdnca

We investigate how multi-agent NCAs can develop into artificial life 🦠 exhibiting complex, emergent behaviors like cyclic dynamics, territorial defense, and spontaneous cooperation.
Introducing Petri Dish Neural Cellular Automata (PD-NCA)

pub.sakana.ai/pdnca/

In this work we explore the role of continual adaptation in artificial life, where the cellular automata in our system do not rely on a fixed set of parameters, but rather learn continuously during the simulation itself.
November 5, 2025 at 12:47 AM