What would convince me that a model understands physics?
Interventions, hidden state, and the difference between predicting a view and predicting an experiment.
Interventions, hidden state, and the difference between predicting a view and predicting an experiment.
The inverse problem underneath my most speculative idea.
A revocation problem that begins where the first agent stops.
The currency-hedging question that forced me to separate a destination from its financing path.
Could analog information help a quantum controller track a drifting machine?
An output can become an input, provided the system knows what it is allowed to change.
Learned forgetting, composed memories, and the information a later decision will need.
When two explanations fit the meter, the next useful output may be a measurement.
What Astir should retain when the people making its decisions keep graduating.
A question about physical productivity, adoption costs, and the investments that get overlooked.
What could transfer between robot bodies when actuator commands cannot?
Learning when an automation should apply, including when it should leave the files alone.
An inverse problem can remain ambiguous after the practical question is already settled.
A numerical repair has more than one contract to satisfy.
What broke when I transferred a neural PDE solution into a barycentric interpolant.
What survived after I tested an adaptive verification policy against simpler alternatives.
Why my locality-aware replay policy lost its main argument.
The controller stayed fixed. The machine changed what its actions cost.
Gardener made capture easier. The harder problem starts after the note is saved.
A question about experiment design, irreversible effects, and who pays for learning.
Recovery has to preserve other people’s work and account for effects outside the database.
A small legal-reasoning failure with a larger systems lesson.