Why Mythos doesn't matter (for us)
www.hacktron.ai
Benchmarking Hacktron's scanning pipeline shows that for most applications, smaller models run repeatedly can outperform larger frontier models on cost-to-recall.

Original Reddit post

TL;DR: If a large model finds a 0-day with 90% probability, and a small model with 50% probability, but the small model costs 10x less, it is better to use the small model. Disclaimer: I’m involved with Hacktron, the company that produced this research. This is a factual presentation of our benchmarks, which we hope the community can use to make informed decisions about models like Mythos. submitted by /u/EliteRaids

Originally posted by u/EliteRaids on r/ArtificialInteligence