made an unreasonably complicated carrier pigeon w/ @rohankalia_
in the process: called the FAA, circumnavigated the bay area looking for helium, and inhaled too much solder.
thanks @neo for having us!
[B@B 10 YEAR ANNIVERSARY] 🎊
10 years ago, a group of Berkeley students came together to learn about Bitcoin and educate each other on a technology they believed could change the world.
They probably didn’t know that, a decade later, that little group would blossom into one of Berkeley’s top tech communities and bring together some of the most ambitious, thoughtful, kind, and absolutely cracked people we know.
Over the last 10 years, B@B has been home to some insane startups and even crazier ideas. But more importantly, it’s given us lifelong friendships, unforgettable memories, and a ridiculous amount of laughter along the way.
B@B turned 10 this year, and one reunion simply wasn’t enough. So, in true blockchain fashion, we forked it, hosting anniversary celebrations on both coasts and bringing together alumni from across a decade of B@B.
Some highlights:
- A photo wall of 10 years of our most wholesome moments, walking down memory lane
- Custom engraved Ledgers for our alumni made by our own @DivijMot@createdbymason
- A tres leches “10 Years of B@B & Boujee” cake courtesy of former-pres @Ridddhiiii
- Lots of old lore, reunions, and questionable stories resurfacing
i've recently been distilling stockfish into a no-search transformer. some cool results:
- recreated the neural scaling laws
- observed chinchilla optimality
- curriculum learning on ascending depth data sub-performs
you can also play against the model! (full details below)
Longer chain-of-thought = slower inference, more context rot, and ballooning compute.
So what if the model could decide for itself when to go parallel?
Our new BAIR blog breaks down Adaptive Parallel Reasoning (APR) — the next paradigm in inference-time scaling. 🧵