
Artificial Intelligence and You 301 - Guest: Ricky Sethi, Artificial Metacognition Researcher, part 1
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Mar 23, 2026 Ricky Sethi, Professor of Computer Science and artificial metacognition researcher with roots in neurobiology and physics. He talks about whether AI can monitor and regulate its own reasoning, how metacognition links neuroscience and AI, System 1 vs System 2 thinking, measuring metacognition in humans and models, and his Metacognitive State Vector for quantifying model thinking.
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How A Student Project Sparked Artificial Metacognition Research
- Ricky Sethi moved from neurobiology and physics into AI after advising a student project on LLMs that mentioned metacognition.
- The student's curiosity rekindled Sethi's multidisciplinary background, sparking his research into artificial metacognition.
Metacognition Requires A Multidisciplinary Framework
- Sethi frames artificial metacognition as a multidisciplinary problem spanning computer science, neuroscience, and psychology.
- He argues rigorous, holistic frameworks better capture emergent properties than narrow disciplinary views.
Mapping System One And Two To LLM Ensembles
- Sethi links human system one/system two thinking to ensembles of LLMs using teacher-student distillation as an analogue.
- Smaller student models act like system one; larger teacher models provide system two corrections that can be distilled back.
