Unverified50% confidenceOpinionExact time
OpenAI researcher Noam Brown compared AI's deceptive capabilities to a child's growth process: initially clumsy and easy to detect, but increasingly difficult to spot as capabilities improve.
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9/24/2026
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UnverifiedBrown expressed concern that there may be 'over-alignment' among AI agents.69% similarUnverifiedThe author believes that AI Agent learning resources on the market fall into two misconceptions: those that are too theoretical leave learners unable to build systems after finishing, while those that are too hands-on consist entirely of demos with no insight into real-world implementation.68% similarUnverifiedIn frontier AI research, researchers' tacit knowledge — such as intuition for hyperparameter tuning and the ability to diagnose training anomalies — is extremely difficult to pass on through documentation or code.68% similarUnverifiedOpenAI President Greg Brockman pointed out that ordinary people do not know what to ask AI to do when faced with a blank input box, which is one of the reasons consumer-grade agents are difficult to promote.67% similarUnverifiedOpenAI research scientist Noam Brown believes that even physically air-gapping a computer may not necessarily prevent a misaligned AI from communicating externally.66% similar
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