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We spent $50 to measure Pearl's "AI mining" – 320K GPUs produce zero AI

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We spent $50 to measure Pearl's "AI mining" – 320K GPUs produce zero AI
AI Summary

An empirical study published on arXiv investigates the 'Pearl' cuPOW protocol, finding that its proof-of-useful-work mechanism fails to produce actual AI output despite massive GPU usage. The research highlights a significant gap between the protocol's claims and its practical utility.

Why it matters

This study challenges the validity of 'proof-of-useful-work' crypto-mining models, suggesting that some projects may be misrepresenting their contribution to AI development.

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Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Abhinaba Basu [ view email ] [v1] Wed, 3 Jun 2026 12:42:29 UTC (37 KB) Full-text links: Access Paper: View a PDF of the paper titled The Usefulness Gap in Proof-of-Useful-Work: An Empirical Study of Pearl's cuPOW Protocol, by Abhinaba Basu View PDF HTML (experimental) TeX Source view license Current browse context: cs.CR < prev | next > new | recent | 2026-06 Change to browse by: cs cs.CY cs.DC References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

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Confidence: 80%

The article summarizes technical research findings regarding a specific protocol's performance.

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