Adam Jelley
@AdamJelley2
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Research / Co-founder @gen_intuition
Edinburgh, UK
Joined September 2020
I'm excited to share what I've been working on since finishing my PhD earlier this year: General Intuition! We're a research lab building novel foundation models that require deep spatial and temporal reasoning - for the benefit of video games, and the real world.
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From the first meeting with the one and only @PimDeWitte last October, to finishing my PhD and co-founding General Intuition together with @EloiAlonso1 and @micheli_vincent earlier this year, the last year has been quite the journey to say the least!
Introducing General Intuition. We build foundation models and general agents for environments that require deep spatial and temporal reasoning. Deeply grateful to @vkhosla @htaneja for backing us, and @EloiAlonso1 @AdamJelley2 and @micheli_vincent who created a world-class lab.
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On a random Saturday last October, @PimDeWitte reached out about a wild, large and incredibly diverse dataset of gaming clips. I was skeptical - such a dataset felt like a secret archaeological treasure. We dug. It’s real.
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We’re starting a company to build the next frontier of embodied intelligence - General Intuition We believe the time has come to move from words to worlds, and we’re developing foundation models capable of acting in any environment. Starting with video games!
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I'm extremely grateful to work with an incredibly talented team on such an exciting mission, and have been amazed by our progress over the last year. If you're excited by the potential and would like to join us on this adventure, please reach out to careers@generalintuition.com!
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We believe there's a wealth of untapped intelligence to be found in video games, that can move the frontier from words to worlds to enable models with a more general intuition of their environment. Read more about our launch here:
generalintuition.com
We build foundation models for environments that require deep spatial and temporal reasoning.
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Missed our workshop at @RL_Conference? Watch all keynote presentations and the panel discussion on YouTube: https://t.co/pEOl4yd46e Big thanks to our awesome speakers: @togelius, James MacGlashan, @robertarail, Michael Bowling, and @pcastr!
youtube.com
Recorded sessions of the Reinforcement Learning and Video Games (RLVG) workshop at the Reinforcement Learning Conference (RLC), 2025. Recorded on August 5, 2025
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We’re excited to announce our final keynote speaker: Michael Bowling (University of Alberta)! 🎲🃏 Michael will explain what led to him to pioneer the use of old video games to test RL agents. Join us @RL_Conference to find out more about the story behind the Atari Benchmark!
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We’re excited to announce our next speaker: Pablo Samuel Castro from @GoogleDeepMind! @pcastr focuses on fundamental RL research. He will make the case that the Atari benchmark remains relevant for advancing our scientific understanding of RL.🕹️ See if you agree @RL_Conference!
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Thank you to our headline sponsors @Medal_TV for their kind support to make this workshop happen - go check them out at https://t.co/Lt52SRwC9H to capture and share your PC gaming highlights! 🎮🕹️
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We’re excited to announce our next speaker: Roberta Raileanu (@robertarail) from @GoogleDeepMind! Roberta will discuss NetHack: A Grand Challenge for RL and LLM Agents Alike. ⚔️ Join us on August 5th to learn how to develop agents capable of tackling open-ended environments!
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We’re excited to announce our first speaker: James MacGlashan from Sony AI! 🚀 James led the development of GT Sophy, a superhuman RL racing agent in Gran Turismo. 🏎️ Join his talk to learn about how GT Sophy was used as an opponent in GT7 and what’s next for RL in gaming. 🎮
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One week left to submit your contributions for our workshop @RL_Conference... gotta go fast! ⏰🎮 We welcome submissions on video games for benchmarking RL and RL for video game development. ⌛Paper Submission Deadline: May 30th Find out more here: https://t.co/ltrH6UhhHi
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Introducing M³: A 𝗠odular 𝗪orld 𝗠odel over streams of tokens for sample-efficient RL 🌍🤖 M³ achieves state-of-the-art performance for planning-free world models on Atari-100K 🕹️, DMC 🦾, and Craftax-1M! 🚀 🧵1/8
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Today in Nature: our research on world and human action models (WHAM) - generative ai models of video games, aimed towards supporting game creatives in gameplay ideation : https://t.co/zeaOGbfVqh - huge congrats to everyone who made this happen, I couldn't be more proud 🥳
nature.com
Nature - A state-of-the-art generative artificial intelligence model of a video game is introduced to allow the support of human creative ideation, with the analysis of user study data highlighting...
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Awesome to see this released and out in the world now. Huge congrats to the entire team! It was super cool to see the vision come to life as an intern with everything coming together 👏
Nature published Microsoft research detailing our WHAM, an AI model that generates video game visuals & controller actions. We're releasing the model weights, sample data & WHAM Demonstrator on Azure AI Foundry to enable researchers to build on this work. https://t.co/R3Pt8iwPBH
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1/ Does scaling pre-training 📈 improve embodied AI 🤖as effectively and predictably as it is does LLMs? https://t.co/RxeOHdzPZa Yes! 👍 Our paper studies behavior cloning & world modeling tasks in the infinite data regime ♾️on human data🎮
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You can now play fully generative games on an interactive video model, and we’ve collected together them together at https://t.co/DmIw6IgOri. You can now play Mario Kart 64, Minecraft, CS:GO and many other games on your own device. All open source.
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Try 💎 DIAMOND’s Counter Strike world model directly in your browser! → https://t.co/IqfatLyi6l ← How long can you stay in distribution? Can you beat @stephliemnguyen’s 1000 frames? @AdamJelley2 and I are at NeurIPS! Poster #6306, Friday 11am-2pm, West Ballroom
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