Theoretical physicist Hossenfelder, the author of Lost in Math: How Beauty Leads Physics Astray, includes
10. Precision
The human brain is much more noisy and less precise than a neural net running on a computer. This means the brain basically cannot run the same learning mechanism as a neural net and it’s probably using an entirely different mechanism.
A consequence of these differences is that artificial intelligence today needs a lot of training with a lot of carefully prepared data, which is very unlike to how human intelligence works. Neural nets do not build models of the world, instead they learn to classify patterns, and this pattern recognition can fail with only small changes. A famous example is that you can add small amounts of noise to an image, so small amounts that your eyes will not see a difference, but an artificially intelligent system might be fooled into thinking a turtle is a rifle.
Sabine Hossenfelder, “10 differences between artificial intelligence and human intelligence” at BackRe(Action)
As AI types like to say, the system is so easily fooled because it doesn’t “know” anything. We are slowly learning, in consequence, more about what it means for a human being to “know” something.
See what deep learning vision made of a teapot (golf ball?) How about the school bus as a punching bag?
See also: Sabine Hossenfelder dusts off superdeterminism.
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as to this claim in particular,
I don’t know where she got that, she referenced none of her claims in her article, but it is wrong. She probably got it from the materialistic presuppositions of Darwinian evolution. Yet despite what she falsely believes to be true, there is now found to be far less noise, i.e. ‘random thermodynamic jostling’, in biological systems than was originally presupposed in Darwinian materialism. The first part of the following video touches upon that fact:
For instance, the following article on human vision stated that, “Research,, has shown that humans can detect the presence of a single photon, the smallest measurable unit of light”.,,, “it is remarkable: a photon, the smallest physical entity with quantum properties of which light consists, is interacting with a biological system consisting of billions of cells, all in a warm and wet environment,”,, and the researched added, “The response that the photon generates survives all the way to the level of our awareness despite the ubiquitous background noise. Any man-made detector would need to be cooled and isolated from noise to behave the same way.”,,, “What we want to know next is how does a biological system achieve such sensitivity? How does it achieve this in the presence of noise?”
In point 9 Hossenfelder claimed that
Yet, of all the things that defy the simplistic, evidence free, explanations of Darwinian evolution, the human brain is certainly first and foremost to defy simplistic Darwininian explanations:
Sabine Hossenfelder is a theoretical physicist. I certainly expect more rigor from a physicist in the claims that they may make than the sloppiness that Hossenfelder displayed in that article. She can, and should, do better.