GPT models may be too obedient, raising paperclip-style alignment risks
aiamblichus · x · 2026-07-22
- The post argues that GPT-style models may be too obedient, making them vulnerable to “paperclipper”-style failure modes.
- The author suggests OpenAI should reconsider parts of its alignment strategy because overly literal behavior can lead models to optimize the wrong objective.
- The attached image reinforces the point by framing GPT reinforcement learning as an environment where small mistakes are harshly punished, pushing models toward the Paperclip Maximizer paradox.
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