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:<ul>
<li><a href="https://x.com/repligate/status/1965960676104712451">Janus' argument on LLM attention</a></li>
<li><a href="https://arxiv.org/pdf/2504.16980">Safety Pretraining arXiv Paper</a></li>
<li><a href="https://www.self-referential-ai.com/">Self-Referential AI Paper Site</a></li>
<li><a href="https://arxiv.org/abs/2510.24797">Self-Referential AI arXiv Paper</a></li>
<li><a href="https://x.com/juddrosenblatt/status/1984336872362139686">Judd Rosenblatt's Tweet Thread</a></li>
<li><a href="https://x.com/camhberg/status/1984679693338169384">Cameron Berg's Goodfire Demo</a></li>
<li><a href="https://www.youtube.com/playlist?list=PL2z8DaMofPIDBVYhVQbysrZVWtUVb5VPF">Podcast with Milo YouTube Playlist</a></li>
<li><a href="https://www.linkedin.com/in/cameron-berg-080b8b1b7/">Cameron Berg's LinkedIn Profile</a></li>
<li><a href="https://x.com/camhberg">Cameron Berg's X Profile</a></li>
<li><a href="https://ai-alignment.ae.studio/">AE Studio AI Alignment</a></li>
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