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 ↙↙↙ <[email protected]> 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 > > - .... . -..-. . -. -.. -..-. .. ... -..-. .... . .-. . > FRIAM Applied Complexity Group listserv > Zoom Fridays 9:30a-12p Mtn GMT-6 bit.ly/virtualfriam > un/subscribe http://redfish.com/mailman/listinfo/friam_redfish.com > archives: http://friam.471366.n2.nabble.com/ > FRIAM-COMIC <http://friam.471366.n2.nabble.com/FRIAM-COMIC> > http://friam-comic.blogspot.com/ >
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