Cameron Berg is Research Director at AE Studio, where he leads research exploring markers for subjective experience in machine learning systems. With a background in cognitive science from Yale and previous work at Meta AI, Cameron investigates the intersection of AI alignment and potential consciousness. In this episode, Cameron shares his empirical research into whether current Large Language Models are merely mimicking human text, or potentially developing internal states that resemble sub...
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Cameron Berg is Research Director at AE Studio, where he leads research exploring markers for subjective experience in machine learning systems. With a background in cognitive science from Yale and previous work at Meta AI, Cameron investigates the intersection of AI alignment and potential consciousness. In this episode, Cameron shares his empirical research into whether current Large Language Models are merely mimicking human text, or potentially developing internal states that resemble sub...
Susan Schneider: Organoids, LLMs, and tests for AI consciousness
Exploring Machine Consciousness
45 minutes
6 months ago
Susan Schneider: Organoids, LLMs, and tests for AI consciousness
In the second episode of Exploring Machine Consciousness, we welcomed philosopher and AI expert Professor Susan Schneider to discuss consciousness, quantum physics, and the future of conscious machines. Susan introduces her “Superpsychism” theory, exploring quantum coherence as a basis for consciousness, and explains why the AI Consciousness Test (ACT) could help determine whether machines truly have experiences - or are just mimicking human responses. Susan is sceptical that current LLMs sho...
Exploring Machine Consciousness
Cameron Berg is Research Director at AE Studio, where he leads research exploring markers for subjective experience in machine learning systems. With a background in cognitive science from Yale and previous work at Meta AI, Cameron investigates the intersection of AI alignment and potential consciousness. In this episode, Cameron shares his empirical research into whether current Large Language Models are merely mimicking human text, or potentially developing internal states that resemble sub...
