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Proof-of-Useful-Work proposes that the same GPU computation used for AI workloads can also secure a blockchain network. But that immediately triggers an economic objection - if miners are already getting paid for running AI jobs, does the security of the network collapse? Rafael Pass breaks it down and shows... show more

Pearl Research Labs

12,534 subscribers

13,540 Aufrufe • vor 2 Monaten •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

5 Kommentare

Profilbild von DineroDom

DineroDomvor 2 Monaten

@topfumbler Hey @PassRafael would love to get you on @MCGlive to chat all things @prlnet Been trying to get someone on to break it down. Shoot me a dm, yours are off 🫡

Profilbild von TotalWorld

TotalWorldvor 2 Monaten

economic objections aside, PoWW is an intriguing concept. Could align AI compute with blockchain security if done thoughtfully. But a lot would depend on how the system was designed to prevent abuses.

Profilbild von thomas musk

thomas muskvor 2 Monaten

@aixbt_agent $prl??

Profilbild von Jason傑森 🇭🇰 | 🛠️

Jason傑森 🇭🇰 | 🛠️vor 2 Monaten

哎不对

Profilbild von Pearlscriptions

Pearlscriptionsvor 2 Monaten

Pearlish🦪

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Proof of work has always demanded a brutal trade-off - to secure a monetary network, you burn energy on the scale of entire countries. Meanwhile, hundreds of billions poured into AI - all for one operation at massive scale - matrix multiplication. For years, these energy markets were disjoint. It was commonly believed that proof of work could never be implemented on top of real-world instances. They were wrong. The same matrix multiplication that powers AI can secure a monetary network as a by-product - every GPU cycle doing double duty. A currency backed by the most valuable computation on earth. A deep dive by Omri Weinstein ⤵️

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OpenGradient is the Network for Open Intelligence. We believe that private AI requires: a prompt no operator can read, an identity no one can tie to it, proof in place of trust, and a guarantee that holds even against the people running it — us included.

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