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Comment Did Apple just give LLMs their "XOR moment"? (Score 1, Interesting) 71

Apple’s new paper on GSM-Symbolic shows that today’s best language models crumble when a gradeschool math word problem is re-phrased -- even if the logic is identical. It echoes 1969, when Minsky&Papert proved that a singlelayer perceptron could never learn XOR.

That blockade vanished in 1986 with backprop and nonlinear hidden layers. My bet: LLMs won’t need two decades to cross the reasoning gap. Why? Agents that call scratchpad Python or GraphRAG pipelines already externalize formal reasoning, turning the model into a planner rather than a prover.

Comment Nice Chart, Vox—But What About the Other 50Y (Score 3, Insightful) 76

Look, I’m thrilled Vox can read an SEER plot and notice that smoking, screening, and HPV vaccines matter (slow clap). But before we crown Big Tobacco lawsuits and Gardasil as the sole saviors of humankind, can we maybe glance at, oh, the last half-century of environmental regulation?

What about the asbestos bans that cratered mesothelioma in post’70s construction cohorts? 84% risk reduction -- ring a bell? What about Chile and Taiwan slashing arsenic in drinking water and watching bladder and lungcancer mortality do a Wile E.Coyote cliff plunge two decades later? Or the Mercury & AirToxics Standards that took nickel, chromium, and friends down by 80% -- something the EPA’s own Section 812 analysis credits with thousands of avoided cancer deaths?

But sure, let’s keep peddling the tidy narrative that medical tech alone bent the mortality curve. Those radon-mitigation building codes? Irrelevant. Beryllium and benzene exposure limits? Yawn. Apparently if the benefit isn’t measured in ninefigure pharma revenue or a primetime Super Bowl ad, it doesn’t make the Vox word count.

Pro-tip: pathology doesn’t care whether the carcinogen came from Marlboro Country or your municipal tap. Policy matters, and not just the ones that poll well on Twitter.

Comment Re:Algorithms (Score 1) 100

Besides its use in software development (though perhaps AI will obsolete that), learning to think mathematically -- spatially, temporally, and logically -- makes one less susceptible to deception, rhetorical tricks, and subjectivity. It allows one to think objectively (phonics also helps in that regard).

Comment Algorithms (Score 5, Informative) 100

Memorizing multiplication tables exercises language cognitive capability more than it exercises spatial capability, which is key to understanding pure mathematics. Montessori does especially well at connecting numbers both spatially and in a tactile manner. The much-maligned Common Core attempted to teach math how mathemeticians think -- problem was school teachers (or their parents) were not mathemeticians, propagating the cycle of math weakness. Another way to gain spatial reasoning capability is to explicitly train for it.

Comment Books on sudden polar shift (Score 1, Interesting) 46

Could be related to what was predicted mid-20th century: that the Earth's crust will dislodge from the mantle and, due to weight imbalance, rotate 80 degrees placing the North Pole and South Pole near the equator, over the course of half a day (yes, leading to winds greater than Mach 1).

Books on the subject:

* World in Peril: The Origin , Mission & Scientific Findings of the 46th / 72nd Reconnaissance Squadron

* The Adam and Eve Story, A History of Cataclysms by Chan Thomas - The Lost First Edition

* The Path of the Pole

Wikipedia article: Cataclysmic pole shift hypothesis: Earth crustal displacement hypothesis

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