Connectionists: Stephen Hanson in conversation with Geoff Hinton

[Juyang Weng]

Dear Gary,
Sorry, you are still not aware of, or did not read, my work:
No data sets are valid for conscious learning.  Conscious learning must be
learned on the fly.  Please do not ask anybody to try any data sets any
more since they are a dead end in AI.

If you are always spoon fed, you will never be able to understand how to
get food yourself.

Please read my reasoning and proofs in my paper about the post-selection
protocol flaw and the paper about conscious learning.

J. Weng, "On Post Selections Using Test Sets (PSUTS) in AI", in Proc.
International Joint Conference on Neural Networks, pp. 1-8, Shengzhen,
China, July 18-22, 2021. PDF file
<http://www.cse.msu.edu/%7eweng/research/PSUTS-IJCNN2021rvsd-cite.pdf>.

J. Weng, "3D-to-2D-to-3D Conscious Learning", in Proc. IEEE 40th
International Conference on Consumer Electronics, pp. 1-6, Las Vegas NV,
USA, Jan.7-9, 2022. PDF file
<http://www.cse.msu.edu/%7eweng/research/ConsciousLearning-ICCE-2022-rvsd-cite.pdf>
.

Best regards,
-John

Date: Thu, 10 Feb 2022 07:23:03 -0800
From: Gary Marcus <gary.marcus at nyu.edu>
To: Juyang Weng <juyang.weng at gmail.com>
Cc: Post Connectionists <connectionists at mailman.srv.cs.cmu.edu>
Subject: Re: Connectionists: Stephen Hanson in conversation with Geoff
        Hinton
Message-ID: <873A06DA-D7BC-4090-B2DE-49179685DBF8 at nyu.edu>
Content-Type: text/plain; charset="utf-8"

Try your algorithm on datasets such as  this
https://ai.facebook.com/blog/introducing-unidentified-video-objects-a-new-benchmark-for-open-world-object-segmentation/

If you produce strong empirical results, the community will take notice.

> On Feb 9, 2022, at 10:54 PM, Juyang Weng <juyang.weng at gmail.com> wrote:
>
> ?
> Dear Gary,
>
> As my reply to Asim Roy indicated, the parts and whole problem that Geoff
Hinton considered is ill-posed since it bypasses how a brain network
segments the "whole" from 1000 parts in the cluttered scene.  Only 10 parts
belong to the whole.
>
> The relation problem has also been solved and mathematically proven if
one understands emergent universal Turing machines using a Developmental
Network (DN).   The solution to relation is a special case of the solution
to the compositionality problem which is a special case of the emergent
universal Turing machine.
>
> I am not telling you "a son looks like his father because the father
makes money to feed the son".   The solution is supported by biology and a
mathematical proof.
>
> Best regards,
> -John
>
-- 
Juyang (John) Weng
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