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For vulnerability research, smaller models run repeatedly can outperform larger frontier models on cost-to-recall.

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.

We compared the cost and recall of various models in finding real, recent zero-days and found that for most applications, smaller models run repeatedly can significantly outperform larger frontier models on cost-to-recall.

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
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Dangerous New Linux Exploit Gives Attackers Root Access to Countless Computers

1 May 2026 at 20:30
The exploit, dubbed CopyFail and tracked as CVE-2026-31431, allows hackers to take over PCs and data center servers. The Linux vulnerabilities have been patchedβ€”but many machines remain at risk.

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