For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...
In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...
Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).
The cryptocurrency market has been one of the most data-heavy financial sectors, with daily trading volumes reaching over ...
Walk through enough industrial AI deployments and a pattern becomes uncomfortable to ignore. The pilot works. The model ...
The accelerationists of anarcho-capitalism want to bring their new conception of human nature to fruition. They have the ...
Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...
What we encounter in LLMs is largely ourselves. A psychoanalytic AI take on transference, countertransference, and the ...
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Do AI language models 'understand' the real world? On a basic level they do, suggests study
Most of what AI chatbots know about the world comes from devouring massive amounts of text from the internet—with all its ...
New research shows that AI language models can develop a mathematical “understanding” that differentiates between events that ...
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