Every paper, note, and technical report the lab has published. Most are long; many include code and reproductions. Sorted by date.

All research, in chronological order.
01

The Unreasonable Efficiency of a Single Gradient Step

Rollout·OCT 2026
Michael Psenka
aly-shariff
Max Kirkby
02

When does distillation help reinforcement learning?

Checkpoint·SEP 2026
Charles
Michael Psenka
Max Kirkby
03

Can a Language Model Learn Facts Continually in Its Weights?

Paper·JUL 2026
Charles
04

Post-Training Science for Supervised Fine-Tuning

Checkpoint·JUN 2026
Charles
Mudith
Harry
05

Still: Amortized KV Cache Compaction in a Single Forward Pass

Paper·JUN 2026
Charles
alex
Harry
Mudith
Max Kirkby
06

Towards infinite context windows: neural KV cache compaction

Checkpoint·APR 2026
Charles
alex
Harry
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