Research
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INDEX

MCS 1

PRIME 35

gut 3

lyme 1

pain 1

tech 3

Scanned: 1369
Evaluated: 235
Selected: 64

AI-CHAT PRIME
Aeg33-1002	AI Is Neither Artificial Nor Intelligent
	Quote:	AI is neither artificial nor intelligent. Computers (and abacuses) merely manipulate physical statesvoltage levels or beadsto which humans assign meaning. There is no intellection, grasping of universals, or genuine reasoning inside the machine. Terms such as "neural nets" (nonlinear regression) and "genetic algorithms" are effective marketing, not accurate descriptions. Substitute "computer models" for "AI" and the hype diminishes. LLMs, by contrast, are well-named: they are large statistical language models, fitted via nonlinear regression with billions of parameters. They excel at average-case behavior (search, pattern matching, image generation where all pixel-level causes are known and labeled) but fail at extremes and lack true understanding.
	Comment:	There is no better way to see how a person handles logic than by examining their program code. AI is pretty bad at it! AI's "thinking" is association based, not at all logical. As a direct result, the code, though usually syntactically correct, is developed in a reverse manner, and often fails to compile, nevermind work. AI has no Conceptual Logic! This king has no clothes! All AI does, it to repeat the statistically MOST COMMON uses of your words. So like the famed stick based I CHING prophesy set, Or the Oracles of Delphi, any sense you make of the reults is just your interpretation. As I have seen over and over again, AI is just a summarizer of common usage, that's all. Slowly, all too slowly, more and more people who have tried to use AI for serious intelligent work, are seeing how lame the whole AI movement is. But there are times when statistical patterns are useful, so AI is not total junk; just WAY over hyped!
	Article:	https://principia-scientific.com/ai-is-neither-artificial-nor-intelligent/
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AI-CHAT PRIME ECONOMY
Aeg33-1004	WSJ Catches Up, Discovers AIs Off-Balance Sheet Liabilities Are 3 Trillion And Growing 1.2 Trillion Per Quarter
	Quote:	Each quarter, big tech companies disclose their massive capital expenditures on artificial-intelligence infrastructure, from data centers to chips. But those figures dont come close to expressing the full extent of future spending to which Google parent Alphabet, Meta Platforms, Oracle and many others have committed. That is because a huge swath of their coming financial obligations arent reflected on their balance sheets. Nine top tech companies had some 3 trillion of off-balance-sheet commitments mostly related to AI, according to a Wall Street Journal analysis of footnotes in their most recent securities filings. Those obligations are growing faster than traditional "capex," which totaled about 600 billion over the past year they reported, and were about triple what the companies owe under their outstanding leases and long-term borrowings.... And that is before considering the implications of trillions in off-balancesheet commitments. Whether or not the revenues ever arrive, purchase commitments and signed leases cant be canceled, for the most part.
	Comment:	In many ways this is like the Dot-Com boom and bust. Many CEOs said profits dont matter, market share does. And a year later, they were unemployed, their companies bankrupt, and many of them deeply in debt. If the Chinese undercut them, this could take down Alphabet/Google, Meta/Facebook, maybe Amazon, and Oracle. And it may not even take the Chinese. Way too much hype and not enough practice.
	Article:	https://freedombunker.com/2026/08/17/wsj-catches-up-discovers-ais-off-balance-sheet-liabilities-are-3-trillion-and-growing-1-2-trillion-per-quarter/
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Javilk's Research Links Newsletter for Week 33
Updated 08/22/2026-02:37:36 AM
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