On Tue, Feb 26, 2019 at 7:00 PM Nanograte Knowledge Technologies <
[email protected]> wrote:

> ...
>
> If I may suggest, perhaps stepping back to consider if the personal tone
> of your conversation is justified on the hand of the topic and content, or
> perhaps your personal frustration alone.
>

Tone? What's wrong with my tone? I've said nothing personal.

Linas is ignoring my points.

I say he is ignoring my points.

He agrees:

"...ignore it and move on?", "Yep. Life is short."

OK, message received. So long as we have a clear understanding.

I'm just trying to help. And learn a thing or two myself. We all have the
same goal.


> I hope to see more constructive interaction.
>

What's not constructive? It's constructive for me. I've learned a lot about
what OpenCog is up to.

Then as a bonus Linas's "Neural-Net vs. Symbolic Machine Learning" is a
gold mine of formalism. He has nice arguments for linearity of vector
representations. And there he is explicitly mentioning gauge (amusingly not
long after warning me when I say category theory reminds me of a gauge
theory.)

Very nice. Very close to me.

I'll probably use it as a reference for arguments to the necessity of an
unstructured network over vectors, and maybe some other things.

It is very close. It just needs a flip of perspective to make it a
generative framework (c.f. permutations) rather than a learning framework.

This together with Pissanetzky's work which I just came across recently
too, both are encouraging. We may jump out of the deep "learning" hole
soon. It won't require much change of insight to do so. The formal
machinery is mostly already there. Linas has done a beautiful job of
mathematical exposition. We just need to jump from "learning" to generative.

Someone is going to click soon. Many people, probably.

Hardware, however, we probably have to wait for.

I'm eyeing Intels new Loihi spiking chip. Brainchip (though it is not
spiking.) But some exploratory architectures are appearing. The signs in
the hardware area are positive too. Some innovative parallel architectures
starting to emerge.

-Rob

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