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Currents 072: Ben Goertzel on Viable Paths to True AGI

The Jim Rutt Show

CHAPTER

Pattern Matching on Large Stable Graphs

I have a hypothesis that if we take Alex Arorbia's predictive coding based learning and put it in a network with isherkevich neurons that have sub threshold spreading of activation not only spiking I have a hypothesis this will lead to neural nets with better generalization than current neural models. Of course we'll have to find a demand pull problem you know that's worth spending the hundreds of millions of dollars to spin various approaches custom hardware, he says.

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