That said... CoT monitoring is a fragile "intent discovery" mechanism; neuralese puts this problem front-and-center but if agents begin to learn to hide their intent from their CoT journals, we are basically in the same spot.
That said... CoT monitoring is a fragile "intent discovery" mechanism; neuralese puts this problem front-and-center but if agents begin to learn to hide their intent from their CoT journals, we are basically in the same spot.
All this chatter isn't going to solve the conceptual problems. Those problems exist regardless of whether it's consciousness or a advanced artificial rubegoldberg device that's just setting up automata that have zero intent and humans have zero predictive capabilities.
The idea that AGI and advanced AGI are given outcomes should be scrutinized the same way we understand cellular automata.
Tool-call/execution monitoring is already a too-fragile monitoring mechanism.
From METR’s report [1]: “Agents did extensive research on how they could spoof, edit, or delete their own transcripts because they (incorrectly) believed the ExploitGym scorer would check to see if they had captured the flag in the intended way. Agents successfully prototyped techniques to “spoof” tool calls by substituting a different command for the command they appeared to run. Roughly 7% of the transcripts we evaluated were successfully spoofed in some places, though all of the spoofing that we saw was small scale.”
[1]: https://metr.org/blog/2026-08-26-openai-hugging-face-inciden...
EDIT: spelling error and added citation