AI agent risks are systemic, and independent evaluation is still too thin
_FelixSimon_ · x · 2026-07-22
Felix Simon says the capabilities and risks around AI agents appear real, not merely a marketing story. He argues that independent oversight and evaluation matter a great deal, especially as leaderboard claims and self-defined standards are increasingly used to judge agent capabilities.
The attached symposium quotes also warn that:
- risks compound at the system level, not just the component level;
- multi-agent setups can jailbreak each other;
- data-gathering agents may overstep implicit boundaries;
- transparency around evaluation is thin, so independent scrutiny is needed to build trust.
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