Topic
AI safety startups
Building a company whose product is safety, written from inside one. What is genuinely hard about it, what the funding and the incentives look like, and where a small team can still move a large problem.
This tag is now called AI safety startups. The old address still works and still lists the same writing.
2 posts.
When Execution Gets Cheap, Does Taste Become the Moat?
For twenty years the mantra was that ideas are worthless and execution is everything. That stops holding when execution is cheap, and taste as curation is not what replaces it.
Difficulties in Building an AI Safety Startup
Guardrails, evals, RL environments, control infrastructure. I work through each one and keep landing in the same place, too far from what happens inside a frontier lab.