You are receiving this email because you signed up to receive our free e-letter Gilder's Guideposts, or you purchased a product or service from its publisher, Eagle Financial Publications. [Gilder Guideposts] [Technology Report]( [Tech Report PRO]( [Moonshots]( [Private Reserve]( Guideposts: ChatGPT and Lobachevski by George Gilder and Richard Vigilante
11/15/2023 SPONSORED CONTENT ["Massive" new discovery...]( Shows how trading 1 ticker weekly could have produced rare gains up to 2,614% in under 11 days.... [See The Proof]( What made ChatGPT the genius that it is today? What brought Sam Altman and his team their new wealth and fame? What is the secret of the commercial triumph of artificial intelligence (AI) and its breakthrough success ChatGPT, recently released by OpenAI in a quaternary âTurboâ version updating its data to April 2023? What made them the fastest-growing program ever launched (until Instagram âThreadsâ)? For one plausible answer, I will consult my childhood guide Tom Lehrer and his canonical song, âLobachevski.â Whatever the question, Lehrer confesses, âThis I know from nothing.â ChatGPT could say the same. The all-purpose miracle method in Lehrerâs song is: âPlagiarize! Let no one elseâs work evade your eyes.â For ChatGPT and its output, âevery chapter I stole from somewhere else.â The Index I got from the World Wide Web. I just change all the words into numbers and map them in algebraic patterns. I disguise my tracks by a âGenerative Pretrained Transformer (GPT) that adds a bit of randomness that preens as âcreativity.ââ Is this a revolution or merely a mirage, with randomness substituting for invention, and authoritative sounding prose substituting for accuracy, and statistics standing in for logical conclusions and explanations? Thatâs how it looks to me: ChatGPT is mostly âplagiarize.comâ. Last week, we met the âMona Lisa enigmaâ: How image AIâMidjourney, DALL-E, Stable Diffusion, Jasperâwhich supposedly mean imagistic âartificial intelligence,â stupidly destroy the essence of a work of art. The first iteration just repeats a Google Search. Mistaking randomness for creative entropy, subsequent âimprovementsâ jump back across the âuncanny valleyâ of verisimilitude and simply destroy the quiddity or creativity. They subtract informationâthe Mona Lisa smileâwhich is defined in information theory as âunexpected bitsâ or âsurprisal.â Actual informationâunexpected bitsâare the nemesis of a probability engine like Midjourney or GPT. We also explored the phenomenon of âmodel collapseâ in ChatGPT. As an AI program exhausts its database and increasingly feeds on its own fecal matter, it suffers a collapse of its initial plausibility, when it was more reliably plagiarizing from the web. [Have You Seen This $11 Trillion 'Tech Strip?']( While many folks today are wondering what to do with their money⦠a revolutionary âsheetâ of new technology has quietly sparked an $11 trillion tech revolution. Investors who get in FIRST have a rare chance to position themselves in front of a tsunami of profits. [Click here to see how anyone can profit fast.]( Perhaps the most brilliant mathematician-physicist-software inventor in the world is Stephen Wolfram, of Mathematica, Wolfram Alpha, and Wolfram Language, among many other creations. His new book âWhat is ChatGPT Doingâ¦and Why Does It Work,â might be more truthfully entitled, âWhy it Doesnât Work.â Instead, most of this pithy and insightful book disguises its deadly findings by touting ChatGPTâs âremarkableâ and âunexpectedâ successes in simulating human language. For each token (next word or phrase) produced by the system, more than 175 billion calculations are needed. While conceding the essential mystery of these massively parallel computations and their effectiveness, Wolfram contends that the entire multitudinous contraption is âa potentially surprising scientific discoveryâ [that is able] âto capture the essence of what human brains manage to do in generating language.â Wolframâs true purpose here becomes clear in the final two chapters, when he shows with a host of amusing examples that ChatGPT cannot get correct answers for problems in mathematics and physics. Not knowing what it doesnât know, it lies plausibly and authoritatively. These issues of mechanistic dementia go by such labels as hallucination, model collapse, data concentration, computational irreducibility, dysthymia, Gödelâs uncertainty, and model mendacity (or euphemistically âoverconfidenceâ). Related issues are the end of Mooreâs Law, the hyperscale datacenter âheat crisis,â Power Grid fragility, and even civilizational decadence in which surprising information and creativity gives way to mass stultification. Wolframâs answer is essentially to reduce ChatGPT to a useful interface to Wolfram Language and Wolfram Alpha, which accurately perform mathematics and physics. As such a human-oriented input-output layer, AI does have many uses. Wolfram may exaggerate the degree to which his âRuliadâ of simple laws can engender and explain all the complexities of mathematics and physics. But he is on target in showing that these new AI systems are essentially just new I-O systems for computers. [Warning: America on the Brink of Financial Crisis!]( Traders who make money understand the need to optimize their trading strategy to capitalize on every opportunity that comes their way. [Count On This Dual-Patented A.I. Trading Tool (Learn for FREE Now) >>]( Here, I must make a confession. I did not believe that I had much to learn from Noam Chomsky, MITâs far-leftist linguistics scholar. But let me quote from him here: AI in its current form will âdegrade our science and debase our ethics by incorporating into our technology⦠a fundamentally flawed conception of language and knowledge⦠The human mind is not, like ChatGPT and its ilk, a lumbering statistical engine for pattern matching, gorging on hundreds of terabytes of data and extrapolating the most probable conversational responses or most probable answer to a scientific question⦠âA young child acquiring a language is developingâunconsciously, automatically and speedily from minuscule dataâa grammar, a stupendously sophisticated system of logical principles and parameters⦠The childâs operating system (OS) is completely different from a machine learning program.â True intelligence is demonstrated in the ability to think and express improbable but insightful things. In information theory terms, ChatGPT, Google BARD et. Al. may not convey any informationâunexpected, high entropy bits at allâbecause they are biased toward low entropy probabilities rather than high entropy revelations. So, letâs return to our opening questions: What made AI the genius it is today? What brought fame and fortune to Sam Altman and his OpenAI-Microsoft teams? We presented the real answers at our COSM conference early this month in Bellevue, Washington. There we converged with human beings with surprising ideas galore, such inventors Wolfram and Ray Kurzweil, new Turing Prize winner Bob Metcalfe, and Kyoto Prize winner Carver Mead, distributed data center entrepreneur Stephen Balaban, and disruptive investor Cathie Wood and encountered the real new revolution in technology. This new breakthrough is not AI, which is merely a new computer interface platform, which in its current form closely resembles the centralized mainframe computers of the IBM era of the mid-20th Century. Todayâs revolution is the nanocosm of materials science, bringing us the Graphene Moment, a new substance one carbon atom thick 200 times stronger than steel and a thousand times more conductive than copper. Now producible by the ton under the guidance of Rice inventor James Tour and his students, graphene will transform every industry, including AI, more radically even than the invention of the integrated circuit transformed electronics and computation in the Silicon Moment fifty years ago. We will be covering this real breakthrough in all our newsletters to come. Sincerely,
[The Editors]
George Gilder, Richard Vigilante, Steve Waite, and John Schroeter
Editors, Gilder's Guideposts, Technology Report, Technology Report Pro, Moonshots, and Private Reserve About George Gilder: [George Gilder]George Gilder is the most knowledgeable man in America when it comes to the future of technology and its impact on our lives. He’s an established investor, bestselling author, and economist with an uncanny ability to foresee how new breakthroughs will play out, years in advance. George and his team are the editors of Gilder Technology Report, Gilder Technology Report Pro, Moonshots and Private Reserve. About Us:
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