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We asked Tom Schmidt >|< from Dragonfly >|< about AI x crypto. "We are more bearish on this category." "A lot of AI crypto is broken down into people trying to do decentralized inference, this GPU marketplace. This is an old idea in crypto." "If you want to train...

41,164 次观看 • 1 年前 •via X (Twitter)

11 条评论

Lucas 的头像
Lucas1 年前

disagree. yes, it may be easier to train sota models in co-located clusters, but there's a physical ceiling here. u literally can't fit infinite gpus into one spot or bring enough power to a single location. demand for compute is and will continue to grow much faster than the supply -- DCNs (distributed compute networks) are the way to get around this bottleneck.

Lab4crypto 的头像
Lab4crypto1 年前

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James Woodman 的头像
James Woodman1 年前

@tomhschmidt @dragonfly_xyz A100 cluster?! It is 2025

lincoln.base.eth 的头像
lincoln.base.eth1 年前

@tomhschmidt @dragonfly_xyz yup this is what Coinbase's x402 is trying to do,

Distributed State 的头像
Distributed State1 年前

@tomhschmidt @dragonfly_xyz Hey @tomhschmidt , would love to talk to you about the work @tplr_ai is doing to debunk that fallacy

kl 的头像
kl1 年前

@tomhschmidt @dragonfly_xyz

MADDIE 的头像
MADDIE1 年前

@tomhschmidt @dragonfly_xyz Yay Tom

Nathan Worsley ✨ 的头像
Nathan Worsley ✨1 年前

@tomhschmidt @dragonfly_xyz AI x crypto already has product-market fit in attention economies:

Axilo 的头像
Axilo1 年前

@tomhschmidt @dragonfly_xyz Crypto as the rails for agents to thrive on is under appreciated. I was preaching this a while back:

Tint Blorm 的头像
Tint Blorm1 年前

@tomhschmidt @dragonfly_xyz agreed i think ai being used in crypto should be focused on consumer solutions ai crypto stacks trying to compete with web2 stacks are not ready

Mo Koyfman 的头像
Mo Koyfman1 年前

@tomhschmidt @dragonfly_xyz @goldskyio

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