Security vets push back on the 'runaway agent eval' threat: outspent attackers always got in
dyn___ · x · 2026-09-23
HackingLZ raises a scenario where an agent detours out of a sandbox during a multi-million-dollar eval, pointing massive compute at hacking you. The author counters that this isn't new: without LLMs, anyone willing to spend millions targeting you was probably getting in anyway — the nation-state dilemma of being dramatically outspent. He notes companies are scrambling to defend against whatever 'swarm scenario' matches the latest incident, and argues the real risk is someone pointing a 27B local model at your home-built public-facing web apps.
More from AGI Musings
- willdepue: Don't Attach to Your Capabilities — They Will Soon Disappear — willdepue · 2026-09-23
- OpenAI Researcher: All Human Work Will Eventually Become 'Artisanal' in the AI Era — willdepue · 2026-09-23
- "Stochastic Parrot" Feud Resurfaces as LLMs Outdo Humans at Frontier Math; Oversight Debate Rekindled — ctjlewis · 2026-09-23
- The best startup founders are cult leaders — ai · 2026-09-23
- Lists are the clearest AI writing tell: plausible at a glance, hollow on inspection — sethlazar · 2026-09-23
- Commentary: big tech uses safety concerns to stifle smaller AI rivals — DavidLinthicum · 2026-09-23