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v3 — the author-fine-tuned cut
The Laws of Learning
One hour · live interactive graphs
The Laws of Learning
What decides whether a learning system fades, computes, or runs away? The talk opens wide — learning as adaptation across evolution, gradient descent, markets, and brains — lands in reservoir physics at the edge of chaos, builds one adaptive-loop model slowly, and pays it off in a phase diagram you can drive live.
- One eigenvalue prices the phases.
- Depth is renormalisation time — the staircase and the stacked reservoir are one law.
- The closing exhibit is the engine that drafted the talk, shown as a graph.
v3 — the author-fine-tuned cut
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Spanspermia: Does Life Come From Outer Hilbert Space?
The opening case for the FQXi quantum-biology discussion with Michael
Montague of the Quantum Biology Institute — the deck generated by the engine from the spoken
opening. Life is not meaningfully quantum, but its function may be algebraic: scale erases
the quantum description, and what biology's function needs is high-dimensional linear
algebra, the mathematics of Hilbert space.
Open talk
FQXi
The Laws of Learning
The current cut: live concept graphs — zoom a node to open its
subnetwork, with the flow side-view — over the full hour of the author-fine-tuned deck.
Open talk
v3
Dynamics as Computation
A visual seminar on reservoir dynamics, operator lifts, quantum
structure, and optimisation via Hamiltonian ground states.
Open talk
Talk
Earlier cuts of The Laws of Learning — v1, the first agent-drafted self-experiment, and v2, the hand-tuned pass — now redirect to the current deck.