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her social animals do not need a special "deception module", but built-in safeguards against runaway deception, so cooperation becomes possible. At Palantir (where I work), we have, to date, stayed away from heavy machine learning or algorithmic approaches to data analysis, focusing instead on building b
a normal customer. He may also include the avoidance of "too good to be true" behavior. But what about a test for creativity and novelty? Cheers, Joscha EFTA00675658
e. 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 data analysis, focusing instead on building b
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
e. 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 data analysis, focusing instead on building b
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
me. 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 data analysis, focusing instead on building b
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
me. 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 data analysis, focusing instead on building b
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
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