What’s the best resource (book, podcast, essay) that goes deep into the history of open source software?

What happens when the chinese labs stop open sourcing their models?

Yields for supplying $TAO on @_taofi_ are ~150x larger than root APY thanks to SN10 While this currently requires registering as a miner, soon all @_taofi_ LPs will automatically receive SN10 emissions

Many talented people ontop of myself are putting everything we have into making this happen within ~18months 🙏 We have the team and are going to manifest the compute

Couldn’t agree more, great way to start July 4th holiday by reading this.

My latest post: The American DeepSeek Project Build fully open models in the US in the next two years to enable a flourishing, global scientific AI ecosystem to balance China's surge in open-source and an alternative to building products ontop of leading closed models.

Great pod with Meta's CFO, worth a listen When asked about CapEx/datacenter spend, even the CFO of Meta acknowledges energy/physics is the constraint. We need "research innovations" so that we can "distribute the training" process across geographically disparate clusters...

What do we have here?

ok i’m re-energized again. Spent the day catching up with a few subnet teams we’ve backed and it flipped my whole perspective Every founder i talked to was laser-focused on generating revenue Ironically, the same stuff everyone’s pointing to as negatives—miner sell pressure, root auto-selling, high TAO APY—is what’s forcing that behavior There’s this extreme urgency to figure out how to get revenue to drive buy pressure back into their subnet, reduce inflation, and survive. If they can’t, they bleed out i haven’t seen this kind of desperation-to-survive energy and focus on building real businesses anywhere else in crypto

👀