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Limits, before anything else. 21 attempts on one defect are repeated observations, not 21 independent tests. One seeded bug: an inverted authorization check in material I wrote myself. Run on 21 August 2026. One small local model. The alias local-advisor-v1:latest is local.
An AI reviewer says a parser accepts a malformed document. The comment is plausible. It is not yet a regression test, and it is not yet a policy. Between a model finding and a reliable guard sits a small but essential engineering process: validate the behavior, identify an owner, reproduce the…
Keeping a model locally also lets you manage generation settings locally. But an output image and a model name do not tell you which workflow ran, with which parameters, on which environment.
Originally published at erikhill.dev. The numbers below are checked against the repository they come from. My arithmetic grader reads the first number in the sentence, not the answer This is a finding about my own harness. No model got the arithmetic wrong.
Only Gemini Failed My False-Premise Benchmark — 7 Models Tested The itch I kept noticing a specific failure mode: when a question embeds a false assumption, most models correct the user cleanly — but some play along and confabulate detailed answers that fit the wrong premise.
Originally published at nlocoding.com 3xNvidia tripled code output with AI IDE (Cursor) Nvidia now produces three times as much code as before across its 30,000+ engineers, thanks to a specialized AI-powered IDE—Cursor.[1] AI-assisted debugging techniques for complex systems are rewriting the rules…
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