Don’t be fooled by this summer of AI hype
TL;DR
It’s been a busy few months for AI hype. At the end of April, Anthropic claimed that its model Claude Mythos is better at finding software vulnerabilities than most security experts. Then we had the OpenAI–Hugging Face hacking incident, after which Anthropic (proudly) and Meta (reluctantly) disclosed similar incidents involving their models. This was followed….
Nauti's Take
For a small team, the first test is source quality: which benchmarks, comparison groups, and reproducible results support the Claude Mythos claim? Before building a security workflow around it, run your own dataset with a defined false-positive rate and measure whether the model actually saves review time.
Summary
It’s been a busy few months for AI hype. At the end of April, Anthropic claimed that its model Claude Mythos is better at finding software vulnerabilities than most security experts.
Then we had the OpenAI–Hugging Face hacking incident, after which Anthropic (proudly) and Meta (reluctantly) disclosed similar incidents involving their models. This was followed…
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