Lawrence Chan(@justanotherlaw):Forgot to add: it was great working with @ben_sturgeon on this! He was patient as I raised objection after objection from reading data/transcripts + he taught me a lot about managing multiple AI agents. He’s a MATS extension scholar on persona stuff; if you’re hiring, reach out!

Lawrence Chan

@justanotherlaw

I do AI Alignment Research. Formerly @METR_Evals, @redwood_ai; on leave from my PhD at UC Berkeley’s @CHAI_berkeley. Opinions are my own.

Joined January 2017

170 Following 2.5K Followers

Lawrence Chan@justanotherlaw

2026.05.04 20:06

Forgot to add: it was great working with @ben_sturgeon on this! He was patient as I raised objection after objection from reading data/transcripts + he taught me a lot about managing multiple AI agents. He’s a MATS extension scholar on persona stuff; if you’re hiring, reach out!

Lawrence Chan@justanotherlaw

2026.05.02 02:17

A recent viral paper claims to reverse-engineer the parameter counts of frontier models: GPT-5.5 = 9.7T, Opus 4.7 = 4.0T, o1 = 3.5T, etc. @ben_sturgeon and I investigated and found serious issues in the paper; fixing them gives GPT-5.5 as ~1.5T (90% CI: 256B-8.3T).