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Davide Crapis
@davidecrapis
i hear crypto x ai projects mentioning that they're planning to leverage restaking/eigenlayer. any resources on what range of applications can benefit in practice?
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Ender
@ender
https://www.blog.eigenlayer.xyz/eigenlayer-universe-15-unicorn-ideas/ This might help
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Davide Crapis
@davidecrapis
"Program Integrity: While many services opt for centralized servers like AWS, employing zero-knowledge (ZK) techniques for Machine Learning (ML) can be cost-prohibitive. EigenLayer seeks to broaden the market for computational integrity in ML...
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Davide Crapis
@davidecrapis
...If you seek both cost-effectiveness and computation integrity when running AI engines for inference, especially when relying on decentralized servers is considered too risky, EigenLayer offers a solution. By offering the ability to inherit economic trust, EigenLayer facilitates these operations. "
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Davide Crapis
@davidecrapis
This is the most interesting for me. But how would it work in practice? CC @kydo
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kydo
@kydo
cryptoeconomic coprocessors is the simplest mental model I have for them. coprocessors can do sig aggregation, ml inference, or llm inference (AI)
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Ender
@ender
I am not Kyodo 😂, however one thing I am very interested in is FHE rollups with AI. I read earlier - https://medium.com/optalysys/fhe-and-machine-learning-a-student-perspective-with-examples-88d70664a6cb Even if Eigenlayer does not directly help AI projects, it will through FHE protocols
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