Alistair Cheong @cheongalc
cs @ cmu | singapore x pgh x sf San francisco Joined March 2023-
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Alistair Cheong retweeted
1/ 🕵️ Algorithm discovery could lead to huge AI breakthroughs! But what is the best way to learn or discover new algorithms? I'm so excited to share our brand new @RL_Conference paper which takes a step towards answering this! 🧵
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Alistair Cheong retweeted
MASSIVE claim in this paper. AI Architectural breakthroughs can be scaled computationally, transforming research progress from a human-limited to a computation-scalable process. So it turns architecture discovery into a compute‑bound process, opening a path to…
Alistair Cheong retweeted
Becoming an RL diehard in the past year and thinking about RL for most of my waking hours inadvertently taught me an important lesson about how to live my own life. One of the big concepts in RL is that you always want to be “on-policy”: instead of mimicking other people’s…
Alistair Cheong retweeted
1/ 🚨Another New Paper Drop! 🚨 “Hierarchy or Heterarchy? A Theory of Long-Range Connections for the Sensorimotor Brain” 👇 Dive into the full thread 🧵 arxiv.org/abs/2507.05888
Alistair Cheong retweeted
🚨 New Paper Drop 🚨 We’ve have released "Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning & Inference", the first working implementation of a thousand-brains system, code-named Monty. 👇 Dive into the full thread 🧵 arxiv.org/abs/2507.04494
Alistair Cheong retweeted
Thrilled to introduce Foundation Model Self-Play, led by @_aadharna. FMSPs combine the intelligence & code generation of foundation models with the curriculum of self-play & principles of open-endedness to explore diverse strategies in multi-agent games, like the one below 🧵👇
Alistair Cheong retweeted
We don’t have AI self-improves yet, and when we do it will be a game-changer. With more wisdom now compared to the GPT-4 days, it's obvious that it will not be a “fast takeoff”, but rather extremely gradual across many years, probably a decade. The first thing to know is that…
Alistair Cheong retweeted
AI just learned to fine-tune itself between questions. MIT introduces SEAL, a framework enabling LLMs to self-edit and update their weights via reinforcement learning, all by itself. LLMs consume whatever data they are given, so they stay frozen after pretraining. SEAL teaches…
Alistair Cheong retweeted
wrote a new post, the gentle singularity. realized it may be the last one like this i write with no AI help at all. (proud to have written "From a relativistic perspective, the singularity happens bit by bit, and the merge happens slowly" the old-fashioned way)
Alistair Cheong retweeted
Introducing The Darwin Gödel Machine: AI that improves itself by rewriting its own code sakana.ai/dgm The Darwin Gödel Machine (DGM) is a self-improving agent that can modify its own code. Inspired by evolution, we maintain an expanding lineage of agent variants,…
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