post-training @ Lovable | adjunct prof @ Aalto | ex-Google DeepMind

Helsinki, Finland
Joined October 2012
Language models can't play chess, right?♟️ Excited to share our latest experiment that let's you play chess against a Gemini model!
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🚨 New preprint on creative chess puzzle generation with diffusion models is out! ♟️ In his exceptional MSc thesis, @AatuSelkee introduced a new RL recipe on top of a masked diffusion model improving the previous SOTA. We're open-sourcing the model and releasing a demo 🚀 1/n
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Diffusion models allow us to naturally condition the generation of the puzzles with a partial board, best move, and themes. Try out our demo at: chess-puzzle.k8s-test.cs.aal… 4/n
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I had the privilege of sitting down with @kchonyc for our new AI podcast "And humanity created intelligence". we discussed the backstory behind the attention paper as well as... 🧵
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- is recurrence making a comeback in LLMs? - how does Kyunghyun select problems to work on? - advice for students - why was coming to Finland 🇫🇮 among the best decisions he has made? Youtube: youtu.be/a5oKBtp14MA?si=jzrK… Spotify: open.spotify.com/episode/3US…
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the podcast is done with my co-host @arnosolin (who was traveling when we recorded this episode), @AaltoUniversity and ELLIS Institute Finland
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I joined Aalto University's podcast "And humanity created intelligence" for an episode on AI safety, including the recent OpenAI / Hugging Face attack. Many thanks to @ericmalmi and @arnosolin for a great conversation! youtube.com/watch?v=nx0CeYeL…
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if you're at #icml2025, come check out our spotlight poster on "Mastering Board Games by External and Internal Planning with Language Models" ♟️ 📜: arxiv.org/abs/2412.12119 ⏲️: Wed 16 Jul 11 am - 1:30 pm PDT 📍: East Exhibition Hall A-B #E-2508 demo: goo.gle/ChessChamp
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come chat to Jakub Adamek, @anianruoss, and me at the poster
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Poster Spotlight! 🔦 Mastering Board Games by External and Internal Planning with Language Models ♟️ arxiv.org/abs/2412.12119 On Wednesday (Poster Session 3 East) Presented by Jakub Adamek and @ericmalmi
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Eric Malmi retweeted
🚨Breaking: New Gemini-2.5-Pro (06-05) takes the #1 spot across all Arenas again! 🥇 #1 in Text, Vision, WebDev 🥇 #1 in Hard, Coding, Math, Creative, Multi-turn, Instruction Following, and Long Queries categories Huge congrats @GoogleDeepMind!
Gemini 2.5 Pro - our most intelligent model, is getting an update before general availability. ✨ It’s even better at: coding 🖥️, reasoning 💡, and creative writing ✍️ Learn more. 🧵
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thank you for the recognition @GaryMarcus! there's room for improvement, but I find it quite remarkable that an LLM learns to play creative sacrifices like this (best move according to Stockfish)
Replying to @cfchabris
@ericmalmi has kind of done that and it does pretty well except in weird positions - where it still sometimes make illegal moves. Confirming your conjecture and mine, if I understand his results correctly. arxiv.org/pdf/2412.12119v2
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Eric Malmi retweeted
🚨Breaking: @GoogleDeepMind’s latest Gemini-2.5-Pro is now ranked #1 across all LMArena leaderboards 🏆 Highlights: - #1 in all text arenas (Coding, Style Control, Creative Writing, etc) - #1 on the Vision leaderboard with a ~70 pts lead! - #1 on WebDev Arena, surpassing Claude for the first time This is the first-ever sweep across text, vision, and WebDev by any model!🥇 Huge congrats to @GoogleDeepMind on this incredible breakthrough!
We’re releasing an updated Gemini 2.5 Pro (I/O edition) to make it even better at coding. 🚀 You can build richer web apps, games, simulations and more - all with one prompt. In @GeminiApp, here's how it transformed images of nature into code to represent unique patterns 🌱
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Think you can outsmart Gemini? We challenge you to a chess match! Play Gemini in a game of chess with our newest Gem: Chess champ. Explore different openings as you banter back and forth with Gemini. Available in the Gemini web app. ♟️Can you beat it? → goo.gle/ChessChamp
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multiple long-time dreams coming true at once: ✅ give a talk at NeurIPS ♟️ play chess on a stage 🤡 make my international debut as a rapper thanks to the audience for a lively discussion that went on for a good hour after the talk and to my amazing co-presenters @anianruoss @weballergy @MatejJusup!
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our work establishes new test-time scaling results for chess-playing LLMs ♟️📈 honestly, I think it's quite mind blowing that an LLM can learn to perform minimax tree search within a single model call and smoothly improve its Elo the more output tokens you give it 🤯
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try playing against our no-search model at: gemini.google.com/gem/chess-… and check out the paper: deepmind.google/research/pub…
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LLMs can play chess! In-context minimax search bootstrapped with values from Stockfish, implemented in Gemini. Paper: storage.googleapis.com/deepm… Breadth 4, depth 2, you start running out of context window. Chess Elo improves with more test-time compute. Really cool work from @ericmalmi @GoogleDeepMind
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