The metaphorical alignment between Large Language Models (LLMs) and human language processing offers a transformative lens for bridging artificial intelligence and neuroscience, revealing profound insights about both systems and catalyzing reciprocal advancement. Despite their fundamentally different substrates—biochemical neural circuits versus engineered tensor networks—LLMs and the human brain share core computational principles manifest in attention, predictive processing, memory, and hierarchical representation dynamics.
Lingua Bingua Suckma Thingma
Heraclitus and Epictetus are my two, favorite, dusty, dead Greek dudes (I like many more, but these two are personal canon favorites). Both were known for their ‘odd’ language use and I choose to believe were of similar perspective, if not neurotype, as me. My man, Heraclitus, had a grip on my concept of paradox as the ultimate herald of any existent, Manifest Truth. Standford’s Encyclopedia of Philosophy as of Dec. 2023 sums it thus: “The exact interpretation of these doctrines is controversial, as is the inference often drawn from this theory that in the world as Heraclitus conceives it […]