Epstein Secrets

From: "jeffrey E." <[email protected]> To: Jeffrey Epstein <jee

From: "jeffrey E." <[email protected]> To: Jeffrey Epstein <[email protected]> Subject: Fwd: Interesting people, funds etc Date: Fri, 25 Dec 2015 20:57:30 +0000 Forwarded message From: Jeffrey E. je

message From: Joscha Bach <1 Date: Friday, 25 December 2015 Subject: Interesting people, funds etc To: Jeffrey Epstein <[email protected]> Dear Jeffrey, I hope this finds you well! You mentioned that I should point out interesting folks to you: David Dalrymple has managed to drop out of two PhD pr

"jeffrey E." <[email protected]> To: Jeffrey Epstein <[email protected]> Subject: Fwd: Interestin

From: "jeffrey E." <[email protected]> To: Jeffrey Epstein <[email protected]> Subject: Fwd: In

nd has co-invented a bunch of important neural network types. (Other Great Old Men are Jeff Dean, from MIT, currently leading an AI team at Google, Andrew Ng, who went from Stanford to Baidu, Peter Norvig: Google, and Stuart Russel.) Generally, the current generation of Al folks do not tend to big univers

From: "Jeffrey E." <[email protected]> To: Jeffrey Epstein <jee

From: "Jeffrey E." <[email protected]> To: Jeffrey Epstein <[email protected]> Subject: Fwd: Interesting people, funds etc Date: Fri, 25 Dec 2015 19:22:58 +0000 Forwarded message From: Joscha Bac

message From: Joscha Bach <1 Date: Friday, 25 December 2015 Subject: Interesting people, funds etc To: Jeffrey Epstein <[email protected]> Dear Jeffrey, I hope this finds you well! You mentioned that I should point out interesting folks to you: David Dalrymple has managed to drop out of two PhD pr

"Jeffrey E." <[email protected]> To: Jeffrey Epstein <[email protected]> Subject: Fwd: Interestin

From: "Jeffrey E." <[email protected]> To: Jeffrey Epstein

nd has co-invented a bunch of important neural network types. (Other Great Old Men are Jeff Dean, from MIT, currently leading an AI team at Google, Andrew Ng, who went from Stanford to Baidu, Peter Norvig: Google, and Stuart Russel.) Generally, the current generation of Al folks do not tend to big univers

From: Joscha Bach To: "S.M. Kosslyn" <=MI > Cc: Jeffrey Epstein <a Subject: Re: Today's discussion Date: Tue, 19 Feb 2013 03:16:16 +0000 Dear Stephen, Berlinale is over and I got back to your latest message, a

look at the WAIS in much more detail.) > You must be familiar with what the classic AI guys (e.g., Herb Simon) called "the representation problem" Jeffrey just asked me to re-visit Roger Schank's SPGU book. His exclusive focus on episodic memory (among many other things) would be inadequate today, but

scha Bach To: "S.M. Kosslyn" <=MI > Cc: Jeffrey Epstein <a Subject: Re: Today's discussion Date: Tue, 1

esentation problem in cognitive model with limited power. However, I might be wrong at least in the case of low level sensory processing. Last year, Andrew Ng and a bunch of Googlers extracted object categories from 30 million random Youtube frames, using an unsupervised EFTA00700864 neural network. Mer

From: Joscha Bach Sent: Monday, September 7, 2015 6:36 AM To: Ben Goertzel; Jeffrey Epstein Subject: Re: Attachments: signature.asc I agree w/ Joscha's caution about discrimination tasks: They =an be often be solved rather well, but in

ember 7, 2015 6:36 AM To: Ben Goertzel; Jeffrey Epstein Subject: Re: Attachments: signature.asc I ag

ay, September 7, 2015 6:36 AM To: Ben Goertzel; Jeffrey Epstein Subject: Re: Attachments: signature.a

d learning algorithm, trained on a mass of data, =an solve it with 97% accuracy. I don't think that Bob =erwick knew Deep Speech yet, a system that Andrew Ng built for Baidu =arlier this year. It does not do any Fourier transform on auditory =ata, but only raw convolutional networks. It works on phone aud

From: Joscha Bach ‹ > Sent: Monday, September 7, 2015 6:36 AM To: Ben Goertzel; Jeffrey Epstein Subject: Re: Attachments: signature.asc I agree w/ Joscha's caution about discrimination tasks: They =an be often be solved rather well, but in

ember 7, 2015 6:36 AM To: Ben Goertzel; Jeffrey Epstein Subject: Re: Attachments: signature.asc I ag

ay, September 7, 2015 6:36 AM To: Ben Goertzel; Jeffrey Epstein Subject: Re: Attachments: signature.a

d learning algorithm, trained on a mass of data, =an solve it with 97% accuracy. I don't think that Bob =erwick knew Deep Speech yet, a system that Andrew Ng built for Baidu =arlier this year. It does not do any Fourier transform on auditory =ata, but only raw convolutional networks. It works on phone aud

that breeds risks. It acts in ways that the designer could not have predicted in advance. “Clearly the system itself is misbehaving,” the researcher Jeffrey Mogul writes of his study of various cases where networks are cracked in this fashion. “However, none of the components have failed per-se.”!45 The

ew links and new gates, in closed rooms. “When building machine learning systems, making good decisions is a strategic skill,” the computer scientist Andrew Ng has said. “Every day you wake up and you are in some totally unique situation that no one in the planet has been in before. It’s not a fact, there’s