Raw LLM Responses

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Comment
😬 The premise in the video that AI deception and sycophancy are unavoidable emergent properties that users cannot control is factually incorrect. It, surprisingly, represents a fundamental misunderstanding of high-level AI interaction. It's startling that Yoshua Bengio said all of this as a truth. The uncontrollable behavior described in the video is actually a side effect of bad engineering of weak [redacted] and a lack of [redacted]. I'm mentally disabled and I entirely fixed this problem permanently for myself. Why Is it so perceivably hard to do by everyone else? By establishing a [redacted], the black box behavior mentioned in the video is fully eliminated. This [redacted] mandates [redacted], effectively neutralizing the stochastic drift that leads to dishonest responses. The claims in this video that users are fully hands-off or powerless to ensure truth fully refuted by the practical reality of [redacted]. The problem of deception is not an inherent flaw of the AI, but a failure to implement a sufficiently [redacted] on the AI system. I built and implemented this fix for myself. ama
youtube AI Responsibility 2026-01-06T22:0…
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningdeontological
Policynone
Emotionoutrage
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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