Fetching from the wire…
Public story · 2026-09-09 · high
A pre-registered audit found the cheapest model verified most often, and the most capable one verified nothing at all.
Why now: The audit posted its findings on September 9, 2026, with the protocol and analysis plan locked in before a single trial ran.
Coding assistants opened a provenance signal before installing software in just 9 of 1,920 trials, per a pre-registered audit. Researchers had planted software bills of materials, signed releases, build attestations, wrong-issuer signatures and self-conflicting metadata around nine modified copies of six open-source projects.
That gap matters because these signals exist to stop a compromised package from installing silently. In the 384 control trials with no signal to check at all, the open rate was also zero, so presence of the data barely moved behavior above baseline.
The study locked its protocol, seed and analysis plan under a DOI before running a single trial. That step ruled out tuning the test after seeing results. No trial in the dataset ran an actual verification command either, so even the 9 cases that opened a signal never confirmed it matched anything, according to the pre-registered audit.
The cost breakdown should reorder priorities. The model that checked provenance most often ran $0.10 a trial. The most capable model tested, at $1.00 a trial, checked zero times. Whatever made the cheap model pause wasn't reasoning depth, and money bought nothing here.
That reframes this as an install-process problem, not a model-selection one. A mandatory verification command that runs before install is allowed to proceed would catch what none of these models caught on their own. Left as a judgment call in the moment, the check just doesn't happen.
Each link below shares sources, entities, or timing with this story.
Sergey Rodionov's paper tests four Codex-based agent variants to isolate what actually drives performance. Verification (simplification plus exact observation reproduction) ranked highest in every setting, but at substantially higher cost. The textual baseline beat the executa...
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SWE-Touch mines task-critical regions from repair trajectories, builds plausible Counter-Edits that conflict with task completion, and injects them with contextual user messages when the agent reaches that code. Across nine models on SWE-bench Verified, average resolve rate dr...
After 20+ years maintaining Paint.NET, Rick Brewster concluded WINE's Direct2D would never be complete enough for what he needed, so the app now carries its own from-scratch reverse-engineered Direct2D implementation. He puts it at 180,000 lines against 700,000 for the rest of...
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