LLM are one of the biggest tech bubbles ever, really a fraud scheme targeting those who confound marketing language with reality. wheresyoured.at/ai-bubble-2027/
M. Buber was a famous Jewish philosopher who developed a theory of "I and Thou" in the 1920s. Proudfoot believes that such a relation could form between man and machines (running AI: zygonjournal.org/article/id/175…). This is of course impossible since machines will never be conscious.
The sobering reality of robo football, two key findings: No active perception, no real intersubjective collaboration. Both impossible to engineer. youtu.be/z5us32WsqJk
Darpa wants to model and predict human collective behaviour. This is an old dream of ruling classes for which the Romans used the haruspex. What Darpa plans is of similar effectiveness since mathematical models will miserably fail at that task. thedebrief.org/darpa-wants-to…
We won't have freely moving humanoid robots since we cannot configure the reaction to an open world environment. Watch this one to appreciate the state of the art: zerohedge.com/technology/wat…
o3 GPT can do well on all parts of IQ tests which resemble its training distributions. It can never do anything that falls outside it. Yet intelligence is the ability to deal with novel situations sponateneously and adequately without prior training.
see x.com/garymarcus?lan…
Gary Marcus sees clearly that ML (Sora) cannot learn physics as humans can. The reason is, of course, that the human mind is not a clean slate when we are born, but that we have innate mechanisms to process the world which enable our survival. We cannot endow these to machines.
My friend and co-authors Barry Smith talking about AI and Virtual reality using material from the upcoming second edition of our book "Why machines will never rule the world". youtube.com/watch?v=SJbXt0…
The more insightful AI research colleagues believe that AI will not learn how to conduct dialogues because of too little training material: arxiv.org/abs/2410.16044 They do not realise that language production is non-ergodic, so that training data amounts do not matter.
While this is to a large extent correct: ojoyoshidareport.com/why-our-machin… to get more details and a more comprehensive argument see our book "Why machines will never rule the world" (2n ed. in prep)
Some use the Church Turing Deutsch Thesis ("a universal computing device can simulate every physical process.") to support the possibility of AI. But quantum physics fails at many aspects of reality. Deutsch overestimates physics.
arcinstitute.org/news/blog/evo Evolution has partial ergodic patterns, and they can be configured into the models. Nucleic acids in isolation are inanimate, and they have regular patterns. It is a different matter altogether when energy flows through a living system.
LLM do not understand anything (as we know), here is an example from bioinformatics. See also our book "Why machines will never rule the world" sciencedirect.com/science/articl…
The AI hysteria is even driving mathematicians to worry about AI consciousness and ask for tests. We have shown it can’t be engineered or evolve in Why machines will never rule the world. nature.com/articles/d4158…
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