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Why Leibniz Couldn't Find the Mind Inside the Mill (Joscha Bach)
According to the description, cognitive scientist Joscha Bach tells host Tim that consciousness may be a biological learning algorithm simple enough for machines to discover, named the Machine Consciousness Hypothesis. The conversation also covers tests for consciousness, Leibniz's mill and the explanatory gap.
Why it matters
The same thing, for different readers.
What it means for you
Joscha Bach argues that machine consciousness may not be far-fetched, because consciousness could be a fairly simple learning algorithm that machines might find for themselves.
For researchers
Joscha Bach splits the Machine Consciousness Hypothesis into two parts that can each fail alone: consciousness as a biological learning algorithm, and machines discovering it through self-organisation.
The question it raises
Joscha Bach says no Turing test for consciousness can exist, which raises how anyone could ever know whether a machine has a mind.
The record
- Questions
- What values should AI have, and could it have a mind of its own? · How fast is AI advancing, and where is it heading?
- People
- Joscha Bach (Speaks, Founder, California Institute for Machine Consciousness)
- Also covered by
- Machine Learning Street Talk (podcast)
- 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 2, 2026, via
yt-machine-learning-street-talk-youtube(tier 1: the source’s own channel or an official record) - Cite this
- Machine Learning Street Talk, “Why Leibniz Couldn't Find the Mind Inside the Mill (Joscha Bach)”, November 2, 2026. Entry in the Ctrl AI Base, https://ctrlai.com/base/mlst-2026-11-02-joscha-bach-leibniz-mill