parameter golf was a blast.

2,000+ submissions. 1,000+ verified github accounts. ideas ranging from quantization and depth recurrence to TTT LoRA, SSMs, H-nets, JEPA, and more.

autoresearch made iteration dramatically faster — and led to emergent bulletin boards, issue threads, unofficial leaderboards, and agent-built writeups that helped everyone learn from everyone else.

it felt like a glimpse of where interaction with AI is headed: humans setting taste and direction, agents helping explore, coordinate, and share what works.

our goal was simple: make ml research accessible to anyone, anywhere.

it was amazing to see that happen.

full recap: openai.com/index/what-parame…

future events: jobs.ashbyhq.com/openai/form…