– Michael Burry’s post promotes his new Substack series using a 1880 New York Times clipping on a deaf-mute’s pre-linguistic reasoning to draw parallels with AI’s development, questioning if large language models (LLMs) started poorly by prioritizing language over innate reason.
– The article argues LLMs simulate intelligence via statistical patterns but hallucinate due to lacking true deductive logic, echoing historical views that reason—observable in silent observation, like the subject’s inferences on creation from stumps and stars—must precede language for genuine understanding.
– This “reason-first” critique challenges AI hype around scaling compute, suggesting future breakthroughs lie in compression architectures (e.g., AlphaGeometry) rather than trillion-parameter models, aligning with Burry’s history of spotting market inefficiencies.
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Chapter 1 to Chapter 14’s an “Easter Egg” at #ch1 to #ch14. Including #ch2 which’s chapter 2 at my house in Napa California
http://www.youtube.com/watch?v=ejeIz4EhoJ0
On 09-09-39, “What They Will NEVER Teach You at Stanford Business School” debuts at 300 w 44th St at New York Fashion Week’s front row
http://www.youtube.com/watch?v=QXIaNZi3mHQ
http://www.youtube.com/watch?v=QXIaNZi3mHQ
What A Super Model Can Teach a Harvard MBA About Credit www.slideshare.net/larrychiang/what-a-super-model-can-teach-a-harvard-mba-about-credit
American Express hosts me mentoring you about FICO scores at New York Fashion Week
t.co/inxTmZAj
My video boils down 20,000 hours and moves you to the right on the entrepreneur bell curve
http://www.youtube.com/watch?v=eudADPfTWiE
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