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AI with Authority, from Application to Silicon

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Merged summary

TL;DR - This paper presents the Salt method, in which AI agents exchange machine-checked proofs while one researcher supervises development from application code through a verified compiler to a taped-out RISC-V processor. It argues that inexpensive formal verification can make large-scale autonomous engineering safer and more productive.

  • Lean 4 proof-kernel checks prevent hallucinated proofs from being accepted as valid artifacts.
  • Verification spans the toolchain link by link, ending with SAT-checked equivalence at the silicon boundary.
  • The five-week project reportedly used consumer AI subscriptions, with no human-written RTL and no human review of proofs.
  • Published auditing includes theorem provenance, token and human-time accounting, and an append-only error ledger recording 256 numbered catches, with zero incorrect proofs entering the final record.

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AI with Authority, from Application to Silicon

arXiv cs.SE Jason Hickey 2026-08-21 arXiv:2608.21356
Public signals Semantic Scholar citations 1 · Semantic Scholar influential citations 0
Providers: Hugging Face · N/A OpenAlex · N/A Publisher · N/A Semantic Scholar · Citations 1 · Influential citations 0 X · N/A Fetched 2026-09-17 14:29:35.174943 UTC

TL;DR - This paper presents the Salt method, in which AI agents exchange machine-checked proofs while one researcher supervises development from application code through a verified compiler to a taped-out RISC-V processor. It argues that inexpensive formal verification can make large-scale autonomous engineering safer and more productive.

  • Lean 4 proof-kernel checks prevent hallucinated proofs from being accepted as valid artifacts.
  • Verification spans the toolchain link by link, ending with SAT-checked equivalence at the silicon boundary.
  • The five-week project reportedly used consumer AI subscriptions, with no human-written RTL and no human review of proofs.
  • Published auditing includes theorem provenance, token and human-time accounting, and an append-only error ledger recording 256 numbered catches, with zero incorrect proofs entering the final record.
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