Facilis descensus ad minimum
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Moravec's paradox applies to genetics, too
And other implications of adaptivity
Aug 31, 2025
•
Clare Lyle
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The state of plasticity in 2025
A survey
Aug 30, 2025
•
Clare Lyle
2
A visual guide to proximal methods
Extra gradients, hold the momentum
Aug 23, 2025
•
Clare Lyle
Does parameter norm growth cause networks to lose plasticity?
A brief clarification
Jun 30, 2025
•
Clare Lyle
Paper review: Auditing language models for hidden objectives
What's in an objective?
Mar 30, 2025
•
Clare Lyle
Can you train a neural network forever?
Understanding trainability in neural networks
Dec 27, 2023
•
Clare Lyle
Neural networks live life on the edge
(of stability)
Oct 22, 2023
•
Clare Lyle
Do we know why deep learning generalizes yet?
It depends on your epistemology
Oct 22, 2023
•
Clare Lyle
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Facilis descensus ad minimum
A place to discuss the gory details of the current state of machine learning research: what works, what doesn’t, and why we don’t have AGI yet.
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