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Meta Muse AI agent designs RISC-V crypto SoC for $2,000

A semiconductor expert known as @bubbleboi, who serves as a mascot for the Thru blockchain, reported using Meta's Muse AI agent to design a specialized System-on-Chip (SoC) based on the RISC-V architecture. The AI agent completed the place-and-route process using OpenROAD software, generated the final GDSII blueprint file for manufacturing, and integrated support for standard cryptographic…

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Key points

  • Meta's Muse AI agent designed a RISC-V crypto SoC with 61,590 logic cells for about $2,000.
  • The chip supports SHA-256, Keccak, Ed25519, and secp256k1 algorithms and passed DRC and RISC-V tests.
  • NVIDIA and ChipAgents report the best AI agent scored only 16.6% on their new chip design benchmark.

The resulting chip design contains approximately 61,590 logic cells, operates at 100 million cycles per second with a 4.5 nanosecond slack, and consumes only 20 milliwatts of power. The design passed Design Rule Check (DRC) without electrical issues and validated against RISC-V rules using ACT suites and 1.5M Berkeley TestFloat vectors. The entire process consumed roughly 100 million tokens, costing approximately $2,000.

The expert plans to add vector instructions and port the Thru blockchain natively to the chip, aiming to make it the fastest blockchain on earth. They are currently seeking multi-Project Wafer runs to begin the tape-out process. This achievement contrasts with recent findings from NVIDIA and ChipAgents, whose Build-A-Chip-Bench showed the best AI agent, powered by Anthropic's Claude Fable 5.1, scored only 16.6 percent, indicating significant gaps remain in AI-driven chip design reliability.

Model pages: Muse → · Claude Fable 5.1 →

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  1. Meta Muse AI agent designs RISC-V crypto SoC for $2,000this story
Full story from wccftech.com · by Rohail Saleem · via Search: MetaOpen source ↗

Meta’s Muse AI Agent Just Designed A Crypto-Specific SoC On The RISC-V Architecture For $2,000 To Transform The Thru Blockchain Into “The Fastest On Earth”

wccftech.com · 14 October 2026

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This text was published by wccftech.com and written by Rohail Saleem. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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