At the AI safety site Foom, science journalist Mordechai Rorvig explores a paper presented at November's Empirical Methods in Natural Language Processing conference:

[R]esearchers at the Swiss Federal Institute of Technology (EPFL), the Massachusetts Institute of Technology (MIT), and Georgia Tech revisited earlier findings that showed that language models, the engines of commercial AI chatbots, show strong signal correlations with the human language network, the region of the brain responsible for processing language... The results lend clarity to the surprising picture that has been emerging from the last decade of neuroscience research: That AI programs can show strong resemblances to large-scale brain regions — performing similar functions, and doing so using highly similar signal patterns.

Such resemblances have been exploited by neuroscientists to make much better models of cortical regions. Perhaps more importantly, the links between AI and cortex provide an interpretation of commercial AI technology as being profoundly brain-like, validating both its capabilities as well as the risks it might pose for society as the first synthetic braintech. "It is something we, as a community, need to think about a lot more," said Badr AlKhamissi, doctoral student in computer science at EPFL and first author of the preprint, in an interview with Foom. "These models are getting better and better every day. And their similarity to the brain [or brain regions] is also getting better — probably. We're not 100% sure about it...."

There are many known limitations with seeing AI programs as models of brain regions, even those that have high signal correlations. For example, such models lack any direct implementations of biochemical signalling, which is known to be important for the functioning of nervous systems.
However, if such comparisons are valid, then they would suggest, somewhat dramatically, that we are increasingly surrounded by a synthetic braintech. A technology not just as capable as the human brain, in some ways, but actually made up of similar components.

Thanks to Slashdot reader Gazelle Bay for sharing the article.

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