# Melanie Mitchell
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melanie mitchell is a professor of computer science at Portland State University. She has worked at the Santa Fe Institute and Los Alamos National Laboratory. Her major work has been in the areas of analogical reasoning, complex systems, genetic algorithms and cellular automata, and her publications in those fields are frequently cited.She received her PhD in 1990 from the University of Michigan under Douglas Hofstadter and John Holland, for which she developed the Copycat cognitive architecture.
Good Night
This illustrated children's book by Melanie Mitchell serves as a sensory bedtime story designed to help young readers transition to sleep. The narrative features various young animals, including a kitten, puppy, bunny, chick, and lamb, as they settle down after a day of play. Each page provides tac…
Melanie Mitchell: Concepts, Analogies, Common Sense & Future of AI
Melanie Mitchell is a professor of computer science at Portland State University and an external professor at Santa Fe Institute. She has worked on and written about artificial intelligence from fascinating perspectives including adaptive complex systems, genetic algorithms, and the Copycat cogniti…
Are We Thinking Correctly about AI Intelligence?
When an LLM answers a question, is it reasoning like humans, or just producing text that looks like reasoning? The distinction isn’t just philosophical, this determines what we can trust AI to do, how closely we need to supervise it, and ultimately what its real-world impact will turn out to be.
Me…
The Agent Can Rewrite Itself. So Who Controls It?
Meta just gave its new personal agent, Muse, a remarkable amount of freedom. It can browse, work across your accounts, write code, build tools and run subagents. But Meta made one part of the system deliberately difficult for Muse to control: its own authority.In this episode of Attention Span, I l…
Melanie Mitchell: Concepts, Analogies, Common Sense & Future of AI
Melanie Mitchell is a professor of computer science at Portland State University and an external professor at Santa Fe Institute. She has worked on and written about artificial intelligence from fascinating perspectives including adaptive complex systems, genetic algorithms, and the Copycat cogniti…
What’s really behind AI ‘super intelligence’
While billionaires and world leaders expound the dangers of all-powerful, “super intelligent” AI, the reality on the ground is that it's a tech product that’s only made possible by countless human beings, laboring for sometimes dollars a day, doing work like “cleaning” data sets so they’re usable, …
349 - AI Risk - Jesse Richardson
Jesse Richardson wants to improve our critical thinking about AI risk through the gamification of our rampant speculation. In this episode he explains AI safety isn't just one thing, there are a bunch of different risk profiles and each needs to be considered critically.
Previous Episodes
How Minds…
#108 - The OpenAI/HuggingFace "incident": Responding to Sam Harris and Ryan Greenblatt
Vaden has been annoyed about the Hugging Face incident for weeks, and the only known cure is yelling
about it on the podcast. Ben, who as usual is more even-headed and objective about the incident (incidentally, he also writes the episode descriptions) plays devil's advocate. Was there ever really …
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I have no special talent. I am only passionately curious, and
I listen to podcasts.
‐ Albert "Llamacorn" Einstein
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