Thoughts on neural networks, cognitive science, and scales of description
Exploring the intersection of neural networks, cognitive science, and scales of description
May 20, 2025
This post builds on our earlier work, “From time to scale: A gentle introduction to scale dynamics”, where we introduced the idea of treating the Hamiltonian itself as a dynamic coordinate that evolves with scale rather than time.
Read MoreMay 15, 2025
Physics is full of levels of description – atoms, molecules, fluids; spins, domains, magnets. We usually fix the level and then ask how the variables...
Read MoreMay 12, 2025
In the rapidly evolving landscape of AI assistants and agents, there’s a curious psychological barrier I’ve encountered—one that may significantly shape how we build and...
Read MoreApril 29, 2025
In our quest to understand the universe, we’ve developed sophisticated tools for investigating phenomena at particular scales—from quantum mechanics at the subatomic level to general...
Read MoreApril 27, 2025
BarakBot: agents that talk to themselves (and the world)
Read More