Herbert-Voss feels human expertise is still needed to orchestrate open source models so they together deliver Mythos-grade performance, and to assess the bug reports AI generates.

He then noted that fuzzing, the testing technique which injects random or near-random data into software to see if doing so produces bugs, also creates so many warnings that it can make extra work for humans.