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Mythos Preview’s 64% score comes from 129 deliberately selected human-detour moments. A separate sample of 127 strong human decisions yielded about 20% model preference, without per-model results. Agents also designed every experiment in a human-framed weak-to-strong project, recovering 97% of its defined performance gap; that result did not transfer cleanly to production-scale models. These findings show progress in research suggestions and methods, without demonstrating autonomous successor development.

The Personas agent completed substantial research engineering, but its experiments kept changing what the paper could claim. Following the transfer test, cross-model repetitions and later rival comparison explains why more experimental work did not establish the proposed contribution. The case also preserves a useful narrow finding and the limits of extrapolating to AI research or RSI generally.