I agree. It is not like Mythos or other LLMs are insanely smart/superhuman. Many of these vulnerabilities could be discovered fairly easily by trained human experts as well. The problem is more that it requires an insane amount of attention and time of highly-paid experts to shake out these issues vs. an LLM that never gets tired and can analyze a large amount of code at low cost.

Linus' law was wrong because there were never enough (qualified) eyeballs to check the code. LLMs provide an ample supply of eyeballs (though it's not a benefit to open source, since proprietary developers can use the same LLMs).

Same applies to them being good enough to program, but many are so focused on source code generation that they don't get the whole picture.

Thanks to agents and tool calling, there are now business cases that can be fully described by AI tooling, the next step in microservices, serverless and what not.

Naturally with a much smaller team than what was required previously.