📄 Extracted Text (1,015 words)
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
ℹ️ Document Details
SHA-256
101dffcac471b31d0a7fbf9401c8926563f18f23ab476b8ba4f01cbe3234138c
Bates Number
EFTA02511253
Dataset
DataSet-11
Document Type
document
Pages
3
Comments 0