[FRIAM] ∄ meaning, only text

Russ Abbott russ.abbott at gmail.com
Mon Aug 10 13:03:33 EDT 2020


Independent of Kavanaugh, that was a great article. That's the first I have
heard of this work. It begins to explain a lot about deep learning and its
literal and figurative superficiality.

-- Russ Abbott
Professor, Computer Science
California State University, Los Angeles


On Mon, Aug 10, 2020 at 7:02 AM uǝlƃ ↙↙↙ <gepropella at gmail.com> wrote:

> And to round out another thread, wherein I proposed Brett Kavanaugh *is*
> Artificial Intelligence, this article pops up:
>
>   Where We See Shapes, AI Sees Textures
>   Jordana Cepelewicz
>
> https://www.quantamagazine.org/where-we-see-shapes-ai-sees-textures-20190701/
>
> In the context of "originalism" and reading *through* the text, the
> question is: Why does Brett *seem* intelligent [‽] in a different way than
> your average zero-shot AI? I like Nick's argument that meaning is
> higher-order pattern. The results Cepelewicz cites validate that argument
> [⸘]. But if we continue, we'll fall back into the argument about high-order
> Markovity, free will, and steganographic [de]coding. And (worse) it
> dovetails with No Free Lunch and whether strict potentialists are
> well-justified in using higher order operators. Multi-objective constraint
> solving (aka parallax) seems to cut a compromise through the whole
> meta-thread. But, as always, the tricks lie in composition and modularity.
> How do the constraints compose? Which problems can be teased apart from
> which other problems to create cliques in the graph or even repurposable
> anatomical modules? How do we construct structured memory for saving
> snapshots of swapped out partial solutions? Etc.
>
>
> [‽] If you can't tell, I'm really enjoying using a frat boy political
> operative who *pretends* to be a SCOTUS justice in the argument for strong
> AI. To use an actual justice like Gorsuch as such just isn't satisfying.
>
> [⸘] Of course, we don't learn from confirmation. We only learn from
> critical objection. And the 2nd half of the article does that well enough,
> I think.
>
> --
> ↙↙↙ uǝlƃ
>
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