About
An open notebook for AI research.
lettuceresearch is where I publish my work the moment it's ready — half-finished ideas, negative results, and the occasional paper. It's a single-author archive: I write it, anyone can read it, and the discussion is open to everyone.
lettuceresearch
Independent AI research archive
lettuceresearch is a single-author archive of AI research and notes — work on the inside of language models: how they represent information, where their behavior comes from, and how to keep capable systems aligned with the goals we actually have.
Publishing in the open keeps the work honest and invites sharper feedback than any review cycle. If something here is wrong, the discussion threads are the fastest way to say so.
Focus areas
PyTorch for LLMs
A hands-on, interactive series building up the machinery of modern language models.
Foundations
Hands-on explainers of the machinery underneath modern ML.
Interpretability
Reverse-engineering the circuits inside language models.
Alignment
Keeping capable systems robust to the incentives we give them.
Agents
Self-improving loops, tool use, and emergent behavior.
Retrieval
Giving models longer, sharper, more reliable memory.
Efficiency
Recovering full-model quality at a fraction of the compute.
Multimodal
Grounding language in perception and physical space.