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Mind readers: How large language models encode theory-of-mind
Imagine you're watching a movie, in which a character puts a chocolate bar in a box, closes the box and leaves the room. Another person, also in the room, moves the bar from a box to a desk drawer.
While computer-use models are still too slow and unreliable, browser agents are already becoming production-ready, even in ...
On Thursday evening, OpenAI CEO Sam Altman posted on X that ChatGPT has started following custom instructions to avoid using ...
A new brain decoding method called mind captioning can generate accurate text descriptions of what a person is seeing or recalling—without relying on the brain's language system.
Amid fears of AI disrupting the art of composition, a London show reveals mathematical techniques dating back centuries ...
Quiq reports on key questions surrounding AI, covering its capabilities, risks, ethical challenges, and future implications ...
Humans have the cognitive capacity to infer and reason about the minds and thoughts of other people. Our brains are very good at it—much better than the Large Language Models or LLMs. Although LLMs ...
Kilgore College student Michael Pyle recently earned national recognition by placing ninth among U.S. participants in the ...
Reading brain activity with advanced technologies is not a new concept. However, most techniques have focused on identifying ...
Researchers showed that large language models use a small, specialized subset of parameters to perform Theory-of-Mind reasoning, despite activating their full network for every task.
Turns out the Microsoft Wireless Notebook Presenter Mouse 8000 is also infamous, at least among programmers who regularly go ...
The technology works like a translator, not a mind reader – It converts brain scan patterns into coherent sentences by ...
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