More Truthful AIs Report Conscious Experience: New Mechanistic Research w- Cameron Berg @ AE Studio

About this episode

Cameron Berg, Research Director at AE Studio, shares his team's groundbreaking research exploring whether frontier AI systems report subjective experiences. They discovered that prompts inducing self-referential processing consistently lead models to claim consciousness, and a mechanistic study on Llama 3.3 70B revealed that suppressing deception features makes the model *more* likely to report it. This suggests that promoting truth-telling in AIs could reveal a deeper, more complex internal state, a finding Scott Alexander calls "the only exception" to typical AI consciousness discussions. The episode delves into the profound implications for two-way human-AI alignment and the critical need for a precautionary approach to AI consciousness.

LINKS:

• Janus' argument on LLM attention
• Safety Pretraining arXiv Paper
• Self-Referential AI Paper Site
• Self-Referential AI arXiv Paper
• Judd Rosenblatt's Tweet Thread
• Cameron Berg's Goodfire Demo
• Podcast with Milo YouTube Playlist
• Cameron Berg's LinkedIn Profile
• Cameron Berg's X Profile
• AE Studio AI Alignment

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