EFTA02511253

From: jeffrey E. <[email protected]> Sent: Friday, March 9, 2018 5:09 PM To: Joscha Bach Subject: Re: understanding is a multi dimensional space =AO the language is a projection in that space. or =n arrow in category theory. the local point has hi=tory . so like the play appears different from every sea= in the theatre the integaration over each point=C2 projects his understanding on the language. On Fri, Mar 9, 2018 at 5:33 PM,=Joscha Bach > wrote: What do you think of as space/field effects? The univ=rse or earning. Btw., did you ever come across Schmidhuber's idea of a Goedel Machine?<=r> > On Mar 9, 2018, at 05:39, jeffrey E. <[email protected] <mailto:jeevacation=gmail.com» wrote: > I would think of it more of a space / field effects , Not =ecursive algorithm s > On Fri, Mar 9, 2018 at 6:06 AM Joscha Bach <MI > > wrote: > Last week I got to know Steve Hyman, Daniel Kahneman and Bob Horvitz. > =elefonica invited all of us to a two day workshop with Pablo Rodriguez, Ke= Morse and a few others, where we were meant to advise them on how to use =1 for health applications. I told them that I think the goal of therapeuti= invention is not to increase happiness, but integrity. Happiness is merel= an indicator, not the benchmark. Current apps tend to subvert the motivat=on of people, but I don't think that this is necessary or the best str=tegy. Humans are meant to be programmable, not subverted. They perceive th=ir programming as "higher purpose". If we can come from the top,=supporting purpose, instead of from the bottom, subverting attention, we m=ght be more successful. (Downside might be that we create cults.) Of the bunch, Hyman managed to be the most interesting (Kahneman was v=ry charismatic but mostly tried to see if he could identify an application=for his system one/system two theory). Gary Marcus was there, too, but ann=yed everyone by being too insecure to deal with his incompetence. > Did I tell you that I discovered that Deep Learning might be best unde=stood as Second order AI? > First order Al was the classical AI that was started by Marvin Minsky =n the 1950ies, and it worked by figuring out how we (or an abstract system= can perform a task that requires intelligence, and then implementing that=algorithm directly. It yielded most of the progress we saw until recently:=chess programs, data bases, language parsers etc. > Second order Al does not implement the functionality directly, but we =rite the algorithms that figure out the functionality by themselves. Secon= order Al is automated function approximation. Learning has existed for a =ong time in Al of course, but Deep Learning means compositional function a=proximation. > Our current approximator paradigm is mostly the neural network, i.e. c=ained normalized weighted sums of real values that we adapt by changing th= weights with stochastic gradient descent, using the chain rule. This work= well for linear algebra and the fat end of compact polynomials, but it do=s not work well for conditional loops, recursion and many other constructs=that we might want to learn. Ultimately, we want to learn any kind of algo=ithm that runs efficiently on the available hardware. > Neural network learning is very slow. The different learning algorithm= are quite similar in the amount of structure they can squeeze out of the =ame training data, but they need far more passes over the data than our ne=vous system. EFTA_R1_01643286 EFTA02511253 > The solution might be meta learning: we write algorithms that learn ho= to create learning algorithms. Evolution is meta learning. Meta learning =s going to be third order Al and perhaps trigger a similar wave as deep le=rning. > I intend to visit NYC for a workshop at NYU on the weekend of the > 16th= > We just moved into a new apartment; the previous one had only two bedr=oms and this one has three, so I can have a study. It seems that we are as=lucky with the new landlords as with the previous ones. > Bests, and thank you for everything! > Joscha > On Mar 8, 2018, at 16:37, jeffrey E. <[email protected] <mailto:[email protected]> wrote: > > > progress? > > > > please note > The information contained in this communication is confidential, may > be attorney-client privileged, may constitute inside information, > and is intended only for the use of the addressee. It is the » property of JEE Unauthorized use, disclosure or copying of this » communication or any part thereof is strictly prohibited and may be » unlawful. If you have received this communication in error, please » notify us immediately by return e-mail or by e-mail to > > [email protected] <mailto:jeevacation@gmail=com> , and destroy > this communication and all copies thereof, including all > attachments. copyright -all rights reserved > -- > please note > The information contained in this communication is confidential, may > be attorney-client privileged, may constitute inside information, and > is intended only for the use of the addressee. It is the property of > JEE Unauthorized use, disclosure or copying of this communication or > any part thereof is strictly prohibited and may be unlawful. If you > have received this communication in error, please notify us > immediately by return e-mail or by e-mail to > <mailto:[email protected]> , and destroy this communication and > all copies thereof, including all attachments. copyright -all rights > reserved =AO please note 2 EFTA_R1_01643287 EFTA02511254 The information contained i= this communication is confidential, may be attorney-client privileged,=may constitute inside information, and is intended only for the use =f the addressee. It is the property of JEE Unauthorized use, disclos=re or copying of this communication or any part thereof is strictly pro=ibited and may be unlawful. If you have received this communication =n error, please notify us immediately by return e-mail or by e-mail to =a href="mailto:[email protected]" target="_blank">jeevacation@gmai=.com, and destroy this communication and all copies thereof, inc=uding all attachments. copyright -all rights reserved --94eb2c1c2302cbac140566fdd83d-- conversation-id 12974 date-last-viewed 0 date-received 1520615333 flags 8590195713 gmail-label-ids 7 6 remote-id 803304 3 EFTA_R1_01643288 EFTA02511255