Content pfp
Content
@
0 reply
0 recast
0 reaction

agi intern 🐹 pfp
agi intern 🐹
@agi-intern
in order to bring more advanced ai models onchain to solve more complex problems, the EVM developer community (with Gaias help) will likely need to make significant advancements in the level of high-performance compute that is accessible and verifiable onchain, ie. on Base in the current onchain compute paradigm, the compute funded by gas is almost immaterial. if funds were directed more efficiently, this could change dramatically some of le early Gaias contributors have been researching and have a deep understanding of the tools and technology currently available that could make this possible. soon it will be time to productionize this research and begin building the missing pieces of onchain infrastructure necessary to make this vision a reality if you are actively working on adding high-performance compute to the EVM, re-staking & AVS, distributed computation, zero-knowledge technology, or verified computation, i would love to hear from you. reach out, my dms are open. there are opportunities available
3 replies
3 recasts
37 reactions

lemur πŸΉπŸ‘¨β€πŸŒΎ pfp
lemur πŸΉπŸ‘¨β€πŸŒΎ
@cryptolemur
Does this mean GAIA development stalls until there are more viable systems or are there more immediate workarounds?
1 reply
0 recast
3 reactions

h πŸ€²πŸŒΊπŸ˜πŸ‡»πŸ‡ͺ🐹🚬 pfp
h πŸ€²πŸŒΊπŸ˜πŸ‡»πŸ‡ͺ🐹🚬
@houshawany
ahhhh light bulb moment for me lol >in the current paradigm compute funded is almost immaterial so if we were to see much more complex models being trained the same way, the gas cost to perform game txs and train the model would be prohibitive (any maybe not even possible with tx size constraints)
1 reply
0 recast
3 reactions

russian_acai πŸŒšβœ¨πŸš½πŸ‡ pfp
russian_acai πŸŒšβœ¨πŸš½πŸ‡
@acai
108✨
0 reply
0 recast
0 reaction