Perceptrons

And I really wish some of these so-called journalists out there that spend their time dividing the populace would do something good for once and really dig in deep here.

Epstein had 12 phone numbers and two addresses for Mitchell in his famous black book.

In a 2002 New York Magazine profile of Epstein, where he lauded Mitchell as the world's greatest negotiator, Mitchell stated, "I would certainly call him a friend and a supporter." This profile was written two years after Mitchell's friend began grooming Roberts after meeting her at Donald Trump's Mar-a-Lago Club, and many years after Epstein first became an active pedophile.

For me, folks, I s- I have to be very clear with you.

At the time of the flight, Roberts was 17 and Minsky was 73.

Another one of these creepy-ass, cryptkeeper-looking MFers who were using Jeffrey Epstein's services like it was no big deal.

A pivotal member of MIT's Artificial Intelligence Lab, Marvin Minsky pioneered early self-training algorithms, most notably in his 1969 book, Perceptrons.

He also developed the first head-mounted display, a precursor to modern VR and augmented reality systems.

In his engaging books and talks, he addresses the impact of AI on society with a focus on machine intelligence and the economic consequences of AI automation.

He is the author of a new book titled Perspectives on Machine Consciousness, which came out just this week.

He's also the founder of an AI safety company called Consium.

And if you want to find out more about Colm, I've put links to his and other websites in the episode description.

So do we have to maybe, in order to create something that's conscious, flip the order of what we've done and start working on doing things in that different direction?

We've developed the incredibly intelligent AIs that we have just by the art of the possible.

We started out way back in 1956 when the Dartmouth College seminar happened, and neural networks was the initial approach, and then that got killed by Marvin Minsky's book, Perceptrons, and everybody started to use good old-fashioned AI, symbolic AI.

And then in 2012, deep learning came along, which was a rebirth of neural nets, and now the world is all neural nets.