The data decides what the model learns to value.
Everyone is obsessed with architecture and scale. At frontier labs, the fight is for better data. What "better" actually means, from inside the room where it's decided.
Read on Substack →Everyone is obsessed with architecture and scale. At frontier labs, the fight is for better data. What "better" actually means, from inside the room where it's decided.
Read on Substack →The most underrated skill in aviation is knowing when to abandon an approach. The same thing is true for careers.
Why "helpful and harmless" reward models flatten a model's voice, and what the post-training team did about it.
Pilot, CPA, PM, ML researcher. For a decade this looked like indecision. In frontier AI it looks like a moat.
You don't need a second degree. You need one loop of a real product, shipped under pressure. Here's how.
On process, judgment, and why aviation's boring safety culture is the best thing that ever happened to a high-performing team.
A plain-english description of "RL datamix." No jargon, no NDAs broken, just the work.
I post free observations, mini-essays, and field notes on LinkedIn. Premium long-form lives only on Substack — by design.