Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs integrate data inputs across modalities in a central hub that processes data in an input-type-agnostic fashion.
Read more …Like human brains, large language models reason about diverse data in a general way

Neuroscientists have discovered how the brain distinguishes between visual motion occurring in the external world from that caused by the observer moving through it. Known as the 'motion-source separation problem,' researchers have long wondered how the brain achieves this critical sensory distinction. This is the first time scientists have pinpointed the precise mechanisms.
Read more …Scientists solve the brain's motion-source separation problem

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