Infinite Faculty

Musings on natural and artificial intelligence, methods, and more.

By Andrew Lampinen

· Launched 6 months ago

What are the real problems of continual learning?

Reflections on catastrophic interference, plasticity, and learning for the future in the era of large language models
May 29•Andrew Lampinen

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The no-magic approach to understanding intelligent systems
Today I want to write a bit about the philosophy I think underlies much of the work that my collaborators and I (as well as many other researchers that…
Mar 7•Andrew Lampinen

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Memorization vs. generalization in deep learning: implicit biases, benign overfitting, and more
Or: how I learned to stop worrying and love the memorization
Feb 18•Andrew Lampinen

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On research careers in academia and industry
The epilogue to a series on Cognitive Science and AI
Jan 23•Andrew Lampinen

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Be wary of assumptions in impossibility arguments
A proof is only as good as its assumptions
Jan 13•Andrew Lampinen

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What cognitive science can learn from AI
#3 in a series on cognitive science and AI
Jan 5•Andrew Lampinen

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How cognitive science can contribute to AI: methods for understanding
#2 in a series on cognitive science and AI
Dec 23, 2025•Andrew Lampinen

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Why isn’t modern AI built around principles from cognitive science?
First post in a series on cognitive science and AI
Dec 16, 2025•Andrew Lampinen

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