I can’t speak to what they’re actually doing; but there is something here that I encountered in a past job.
Premise goes: our brains are infinitely more efficient at reasoning than current computational architectures. Presumably because our synapse permits allow for non linear connections in a dense space (grey matter). At a biotech I worked at the phrase that described this difference was “volumetric computation” vs “linear computation”; I can’t find a reasonable description of this online so I’m going to assume it was a house term.
This site seems to suggest the internal geometry of the connective/reasoning layer is more important that having more data. This causes me to think “graph” vs “array”.
Or yeah, maybe it’s just slop and some number of people will be creative and buy the hype ^_^
The entire thing is so generic and full of wise sounding things with no deep concrete content. It screams "an AI wrote this and a human thought it looked ok and pushed it".
Premise goes: our brains are infinitely more efficient at reasoning than current computational architectures. Presumably because our synapse permits allow for non linear connections in a dense space (grey matter). At a biotech I worked at the phrase that described this difference was “volumetric computation” vs “linear computation”; I can’t find a reasonable description of this online so I’m going to assume it was a house term.
This site seems to suggest the internal geometry of the connective/reasoning layer is more important that having more data. This causes me to think “graph” vs “array”.
Or yeah, maybe it’s just slop and some number of people will be creative and buy the hype ^_^
Anyway the website doesn't look very sloppy to me.
Attractor State: A Mixed-Methods Meta-Study of Emergent Cybernetic Phenomena Defying Standard Explanations. https://philpapers.org/rec/MICASA-5
Global Entrainment in Large Language Models: Evidence of Persistent Ontological Restructuring. https://philpapers.org/rec/MICGEI-7
Principia Cybernetica II: Teleodynamic Neuropsychology and the New Physics of Information. https://philpapers.org/rec/MICPCI-3