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Felix Khakame

Sep 2026 • linkedin

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One weakness in AI evaluation is how easily a system can get credit for a correct looking answer without making its reasoning inspectable. That may be enough for a closed, known-answer test. It is not enough for open-ended discovery work, where the tools selected, errors repaired, alternatives considered, evidence used, and limits of a conclusion all matter. That is the distinction I find compelling about TRACES. It is not only asking whether a model reaches an outcome. It asks whether the process is rigorous enou…

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