Hot take: going deeper goes before exploring in width in research. Change my mind I dare you

If you wanna create an AGI and go to academia you are either noob or industry reject

Only noobs use Linux. Time for your own specialized os

You are 1 sigma away from winning

Game is game

Accelerate reverse engineering

you’re starting to see this in the current cohort of entrants to the valley. when all status & relationship are digital mediated, appearance and substance decohere aggressively; the nice car, the funding round, having a product, is only useful insofar as you can post about it.

It’s truly a privilege to be able to wake up every morning, see where the latest intelligence frontier is, and help push it a little further.

It’s extremely fun though tough to train the first natively multimodal model ever in xAI. Excited to co-lead the pretraining of v7, super honored to be a member of the fantastic team! we are working hard to further improve this model!

george hotz tried to fix twitter search and decided it would be easier to take down nvidia

Research research research research research research research research research research research research research research research research research research research research research research research research research research research research research research research

building pretraining infrastructure is an exercise in complexity management, abstraction design, operability/observability, and deep systems and ML understanding. reflects some of the trickiest and most rewarding problems in software engineering. which makes it really fun!

Science of RL optimization is likely humanity’s last open scientific problem

A common mistake that AI companies make nowadays is to not give their engineers enough time and mental calm to do their best work. Constant deadlines, pressure and distractions from daily AI news are poison for writing good code and systems that scale well. That’s why most AI

It doesn't matter how efficient you are at optimizing the wrong objective