A weekly ML paper reading group.
We meet weekly on Mondays in person to talk about new ML papers! As always, optional quiet reading from 7 pm, discussion starts 8 pm. Come and join the discussion! Click any week to register and grab the reading list, notes & resources for running the discussion yourself.
Mondays · 7–9pm quiet reading 7pm · discussion 8pm follow on Luma ↗
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upcoming WEEK 5A Mathematical Framework for Transformer Circuits
What does it mean to “fully understand” a model — and is a one-layer transformer just a lookup table? If the residual stream is only a communication channel, where does the computation actually live?
open week → -
past WEEK 4Touching the Elephant — TPUs
What if the real moat in AI isn’t the model, but the chip? Should AI run on custom silicon or general-purpose chips?
open week → -
past
WEEK 3Tiny Recursive Models
Using just a single 2-layer network with 7M parameters, TRM outperforms much larger language models by recursively refining both its current answer and internal reasoning state.
open week → -
past WEEK 2LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
LeJEPA pushes in the opposite direction: instead of stabilizing training with heuristics, it builds a system where the objective itself prevents collapse.
open week → - past WEEK 1
ML Reading Group
Ilya Sutskever: “If you really learn [these 30 papers], you’ll know 90% of what matters today.”
open week →