Epstein Secrets

insights . Recognizing self, attacking everything that is not self On Wednesday, October 23, 2013, Ari Gesher wrote: On Oct 23, 2013, at 8:09 AM, Joscha Bach wrote: That being said, AGI will have trouble succeeding because it is following the scruffy tradition. Perhaps the main failing of this traditio

t can breach the bounds of the rules of the game. Given that, either brute force or ML/statistical approaches works well enough to build things like Deep Blue or the Google self-driving car. At Palantir (where I work), we have, to date, stayed away from heavy machine learning or algorithmic approaches to

insights . Recognizing self , attacking everything that is not self On Wednesday, October 23, 2013, Ari Gesher wrote: On Oct 23, 2013, at 8:09 AM, Joscha Bach < • wrote: That being said, AGI will have trouble succeeding because it is following the scruffy tradition. Perhaps the main failing of this trad

t can breach the bounds of the rules of the game. Given that, either brute force or ML/statistical approaches works well enough to build things like Deep Blue or the Google self-driving car. At Palantir (where I work), we have, to date, stayed away from heavy machine learning or algorithmic approaches to

From: Ari Gesher To: Joscha Bach Cc: Sebastian Scun , Joi Ito , Kevin Slavin Greg Borenstein <[email protected]> Subject: Re: MDF Date: Thu, 24 Oct 2013 00:10:24 +0000 ta

t can breach the bounds of the rules of the game. Given that, either brute force or ML/statistical approaches works well enough to build things like Deep Blue or the Google self-driving car. At Palantir (where I work), we have, to date, stayed away from heavy machine learning or algorithmic approaches to

insights . Recognizing self, attacking everything that is not self On Wednesday, October 23, 2013, Ari Gesher wrote: On Oct 23, 2013, at 8:09 AM, Joscha Bach <1 > wrote: That being said, AGI will have trouble succeeding because it is following the scruffy tradition. Perhaps the main failing of this tra

t can breach the bounds of the rules of the game. Given that, either brute force or ML/statistical approaches works well enough to build things like Deep Blue or the Google self-driving car. At Palantir (where I work), we have, to date, stayed away from heavy machine learning or algorithmic approaches to