Solving the „generalization over time“ problem is among the „holy grails“ of the AI world – a goal numerous top scientists around the world have unsuccessfully strived to reach for some time now. The new, groundbreaking AI architecture created by Poland’s Pathway startup seems to have done just that – creating a digital structure similar to the neural network functioning in the brain, and allowing AI to learn and reason like a human.
Superb_Raccoon on
Let me guess… It uses Reverse Polish Notation!
(Nightmares first learning that to be able to use an HP41CV I was given for 8th grade graduation by the husband of one of teachers… he worked for HP.)
> We confirm empirically that specific, individual synapses strengthen connection whenever BDH hears or reasons about a specific concept while processing language inputs.
ngl, still sounds a lot like any other kind of reinforcement learning. Anyway their breakthrough is to attempt to model neurons in as in the human brain.
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Solving the „generalization over time“ problem is among the „holy grails“ of the AI world – a goal numerous top scientists around the world have unsuccessfully strived to reach for some time now. The new, groundbreaking AI architecture created by Poland’s Pathway startup seems to have done just that – creating a digital structure similar to the neural network functioning in the brain, and allowing AI to learn and reason like a human.
Let me guess… It uses Reverse Polish Notation!
(Nightmares first learning that to be able to use an HP41CV I was given for 8th grade graduation by the husband of one of teachers… he worked for HP.)
This article is a nightmare. Here’s the paper: https://arxiv.org/abs/2509.26507
> We confirm empirically that specific, individual synapses strengthen connection whenever BDH hears or reasons about a specific concept while processing language inputs.
ngl, still sounds a lot like any other kind of reinforcement learning. Anyway their breakthrough is to attempt to model neurons in as in the human brain.