Slouching Towards Interpretability: Thinking About Computation in Neural Networks

According to the excerpt, a LessWrong essay by CarolusRenniusVitellius, written under the Iliad Fellowship, says the author changed their view on how circuits relate to gradient descent and now argues for a clearer account of what computation in neural networks is.

Why it matters

The same thing, for different readers.

For researchers

A LessWrong author says the picture of circuits as units that resist gradient descent skips the harder question of how to define a circuit at all.

The record

Questions
Can AI systems act beyond what people intended or allowed?
People
CarolusRenniusVitellius (Wrote it)
What we read
We have read only the description the publisher gives. No quotations until someone reads the source itself.
Found by
The Radar, run of November 15, 2026, via lesswrong (tier 1: the source’s own channel or an official record)
Cite this
LessWrong, “Slouching Towards Interpretability: Thinking About Computation in Neural Networks”, November 15, 2026. Entry in the Ctrl AI Base, https://ctrlai.com/base/lesswrong-2026-11-15-slouching-towards-interpretability
Our notesLight lane: excerpt only; the argument is summarised from its opening.