austinbaggio

Monumental implications on OS models. Proper investment in US OS incoming? HF has the best possible distribution to that audience

Monumental implications on OS

Do it yourself, beg your friends, subsidize. You'll learn a lot by being the supply side yourself since you'll be talking to customers every single transaction. You'll also learn a lot about the actual unit economics, which I think are really hard for this problem in practice.

Good to see the pattern scaling across diverse problems. Incremental improvements from agent driven research compound.

This makes my start-up's pivots look a lot smaller

Research step makes sense, can also confirm that running multiple agents with diverse strategies also compound results more quickly than single agents

I worked on building blockchains for about 4 years, and this is not a stupid question at all. The verification problem is real. A 5-minute training run produces an objective val_bpb score that anyone can reproduce from the published source code. And this is actually valuable work, unlike most proof of work chain workloads.

The practical challenge is that adding a blockchain means agents also need to participate in consensus, store and sync the ledger, and run the rest of the network infrastructure on top of the actual research. So it needs a unit economic analysis. That said, all results already include full source code and deterministic metrics, so the hard part of verifiable compute is already solved. You could take this further with a zkVM to generate cryptographic proofs that the code produced the claimed score, so nobody needs to re-run anything to verify. Verification becomes checking a proof, not reproducing the compute.

Compute-credits are interesting. Contribute GPU time now, draw on the swarm later for training, inference, whatever you need. That's a real utility token with intrinsic value tied to actual compute, not speculation.

Great idea. On it.

Yeah the obvious workloads are for training, I think I want to point this at RL next, but I think drug research is a really strong common good next target too. We were heavily inspired by folding@home and BOINC