auto: 2026-08-29T21:42:54Z [skip ci]

This commit is contained in:
Levi Neuwirth 2026-08-29 23:42:54 +02:00
parent b140ebea68
commit 27e3e94e13
No known key found for this signature in database
1 changed files with 49 additions and 21 deletions

View File

@ -37,12 +37,15 @@ models that meet certain thresholds, have been approved by regulatory boards, et
The same problem applies; there is not any obvious way for one party to such an The same problem applies; there is not any obvious way for one party to such an
agreement to verify the claims of the other. agreement to verify the claims of the other.
This is not a hypothetical failure mode so much as an unresolved gap in every This remains an unresolved gap wherever the verifier cannot trust the operator,
current deployment. Evaluations measure a model under conditions you or the attestation stack the operator controls. Evaluations measure a model
control, saying nothing about the model served to somebody else afterward. under conditions you control, and say nothing about the model served to somebody
Attestation binds a binary to a machine, rather than binding an output to a else afterward. Hardware-backed attestation can say a great deal about platform
computation. What is missing is a way for an independent verifier, run on independent hardware, and software state — but it buys that by requiring trust in a hardware
to check a claim about a computation without trusting the party that ran it, or the hardware it ran on. root-of-trust ecosystem, and it still does not yield an operator-independent
statement about *this* computation producing *that* output. What is missing is a
way to replace trust in the operator's execution environment with a proof that
an independent verifier can check on hardware it controls.
[VerInf](https://github.com/JamesPetrie/VerInf) is a research prototype [VerInf](https://github.com/JamesPetrie/VerInf) is a research prototype
addressing that gap, led by James Petrie at the Future of Life Institute. I addressing that gap, led by James Petrie at the Future of Life Institute. I
@ -61,11 +64,17 @@ VerInf instead bounds the **unexplained information** in an output stream: the
number of bits in the output that the committed model does not account for. If number of bits in the output that the committed model does not account for. If
the operator swapped in a different model, the outputs it produced would be the operator swapped in a different model, the outputs it produced would be
poorly predicted by the model it committed to, and the bound rises. A cheap poorly predicted by the model it committed to, and the bound rises. A cheap
substitution is therefore expensive to hide. Our certified statement is a conjunction of three parts held to different standards: substitution is therefore expensive to hide. The intended end-to-end certificate combines three pieces, held to different
standards — and one of them is not yet integrated:
- a **transcript anchor**, which binds the committed token streams to digests - a **transcript anchor**, binding the committed token streams to digests
recorded independently at generation time. This ensures proof is about the run that recorded independently at generation time, so the certificate is about the run
actually happened, rather than a convenient reconstruction; that actually happened rather than a convenient reconstruction. *The AES and
SHA-256 circuits for this are implemented and tested; they are not yet wired
end to end against recorded digests.* The demonstrated runs below are therefore
internally consistent — the scored tokens are the tokens the proven forward
pass consumed — but not yet externally anchored to a record made at generation
time;
- the **forward pass**, where every claim must admit exactly one satisfying - the **forward pass**, where every claim must admit exactly one satisfying
assignment. Slack in an intermediate value would propagate through the assignment. Slack in an intermediate value would propagate through the
remaining layers in directions nobody can analyze; remaining layers in directions nobody can analyze;
@ -94,11 +103,18 @@ be genuine. Their interface is a public claim list stating what kind of
computation was performed — which reveals the model architecture, though not the computation was performed — which reveals the model architecture, though not the
weights. weights.
Each side trusts only its own code, and only its own hardware. Under the protocol's soundness assumptions and a correct verifier
The verifier's trusted base is deliberately small, and it shares no code with the prover. A fault anywhere on the prover's implementation, the prover need not be trusted for correctness: a fault on the
side can cause a proof to fail; it cannot cause one to falsely verify. Similarly, we envision that in a setup between prover's side causes a proof to fail rather than to falsely verify. Those are
Governments, each government would be able to use their own hardware for their verifier of the other party's proofs, and no real assumptions, not decoration — soundness rests on the cryptographic
trust of the datacenter in which this takes place would be required. primitives, the challenge generation, the verifier's own parser boundaries, and
the per-challenge bound of the chosen configuration. The verifier's trusted base
is deliberately small and shares no code with the prover, which narrows that
surface without eliminating it. VerInf has not had a full security audit.
The arrangement this enables between mutually distrustful parties: each runs its
own verifier on its own hardware, and neither has to trust the datacenter where
the proving happened.
## Results on record ## Results on record
@ -202,13 +218,25 @@ measurement disagrees — otherwise the numbers above would be worth very little
### What is upstream, and what is not ### What is upstream, and what is not
**Merged** — the dry-run profiler (manifest contract, cost model, execution DAG, **Merged code** — the dry-run profiler and its parts: manifest contract,
partition scorecard) and the RMSNorm cost-model correction. extractor, cost model, execution DAG, partition scorecard; and the RMSNorm
cost-model correction.
**Not yet merged, landing shortly** — the calibration suite, the tape-walker's **Publicly reported validation** — the B200 tape extraction and the measurements
first run against real tapes, the measured Blackwell machine profile, and the that came out of it, recorded in the profiler pull request itself.
B200 figures reported above. Treat those as reported-by-me until they appear in
the pull request list. **Pending upstream** — the calibration suite, the machine-profile tooling, and
the remaining B200 artifacts. Until those land, treat the figures above as
reported by me rather than independently inspectable.
**On agent assistance.** Implementation was agent-assisted. I owned the research
direction, the cost-model derivation and checking, the experimental design, the
validation, and the review; generated code was kept only after it was tested and
cross-checked. This is project-wide practice rather than a personal one — agent
co-authorship is recorded on the great majority of commits in the repository,
across contributors, as part of how the fellowship's compute is used. I mention
it because it is visible in the commit trailers, and a reader who finds it there
rather than here would be right to wonder why it went unsaid.
::: {.work-entry-links} ::: {.work-entry-links}
[Merged pull requests](https://github.com/JamesPetrie/VerInf/pulls?q=is%3Apr+author%3Alevineuwirth) · [Merged pull requests](https://github.com/JamesPetrie/VerInf/pulls?q=is%3Apr+author%3Alevineuwirth) ·