Epstein Secrets

From: Ari Gesher < To: Jeffrey Epstein [email protected]> Subject: Re: MDF Date: Mon, 28 Oct 2013 15:02:08 +0000 Ok, that's what I thought you meant - so that

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 <[email protected]> To: Jeffrey Epstein Subject: Re: MDF Date: Mon, 28 Oct 2013 01:32:03 +0000 That sounds really interesting - can you explain that

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 0

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: Jeffrey Epstein <[email protected]> Subject: Re: MDF Date: Thu, 24 Oct 2013 00:37:50 +0000 The adaptive adversaries in the immune system c

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