Latest / Talk to Prince Show - Solving World's Problems / Prince Israel Zaar on: The AI of Things and Commodification of AI (Minds)

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Prince Israel Zaar on: The AI of Things and Commodification of AI (Minds) · Talk to Prince Show - Solving World's Problems

• 0:01
  Speaker 1: The issue of of humans depending on artificial intelligence to
• 0:15
  Speaker 1: solve all the problems of humans. Mm hmm, it's a
• 0:22
  Speaker 1: stretch and asking too much from the AI. The realities
• 0:36
  Speaker 1: is already here that that AI is not a natural
• 0:42
  Speaker 1: intelligence and it's an artificial intelligence. So it's an artificiality
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  Speaker 1: software data based and the data centered, digitarize and cheap
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  Speaker 1: or semiconductor related and little graphic machine related type of
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  Speaker 1: intelligence that usually depends on on the computational powers of
• 1:22
  Speaker 1: the agorithms and with the drive for quantum computing and
• 1:29
  Speaker 1: diffusion technologies and energies needed to power nartificial intelligence systems.
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  Speaker 1: The construct of AI as as humanity is great as invention.
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  Speaker 1: It's in itself misillading. AI is not an invention. It's
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  Speaker 1: intelligence of the human as a natural about logical intelligence
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  Speaker 1: of the human that has been scaled artificially so we
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  Speaker 1: can the concept of seeing AI is the AI exponunciation.
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  Speaker 1: That's the point where humans to be talking about. Is
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  Speaker 1: AI exponunciation. The scaling of AR and AI diversification, So
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  Speaker 1: diversification in the development and deployment and usages of AR.
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  Speaker 1: I've been using many other domains. But at the same time,
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  Speaker 1: the advantages of artificial intelligence is enormous. The question becomes
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  Speaker 1: when we attain superintelligence or general AI, digital superintelligence, all
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  Speaker 1: these concepts that are spoken by and the fear is
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  Speaker 1: that the group of some elite elead with pristine universities
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  Speaker 1: and they sit together and deside the future of the
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  Speaker 1: ward and capital follow what they say. If AI is
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  Speaker 1: not meant for everybody, then it becomes something like a
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  Speaker 1: bubble and me it's the The utility of a division
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  Speaker 1: intelligence should be the most important thing. I mean a
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  Speaker 1: division intelligence should be seen as a commodity, seen as
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  Speaker 1: a commodity, not just as a stock. Right to make
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  Speaker 1: AI to be seen as goal, as a rare, a
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  Speaker 1: cocoa or some some natural element. That's why I call
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  Speaker 1: A or a digital mineral, digital mineral. That division intelligence
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  Speaker 1: is able to produce something a mind of itself that
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  Speaker 1: is necessary for the benefit of humanity. If you see
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  Speaker 1: AI as a rush for gol or a rush for oil,
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  Speaker 1: it means you're minimizing the potentials of AI. There will
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  Speaker 1: be countries that's the AI just as a stock, and
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  Speaker 1: of the countries that AI as a stock and as
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  Speaker 1: a commodity. The commodification of a division. Intelligence is very
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  Speaker 1: very important in the reliability and investments and sustainability or
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  Speaker 1: continuity of the AI in itself. When things are commodified,
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  Speaker 1: they become the base to something that's needed to do
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  Speaker 1: something you need the commodity you need a mineral to
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  Speaker 1: buy to do something with you can't see. For example, example,
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  Speaker 1: the Nvidia envide ourselves what AI what the companies of
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  Speaker 1: a I need. It produced the commodities necessary for to
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  Speaker 1: EASi intelligence. So you need to buy from Nvidia that
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  Speaker 1: I advanced hips to do what AI can do for you.
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  Speaker 1: So Nvidia has commodify itself, just as the lithographic machines.
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  Speaker 1: Those countries have modified themselves same just as in Taiwan,
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  Speaker 1: the Taiwan chip companies have commodified themselves, just as Uawei
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  Speaker 1: and other Chinese companies. They have commodified the artificial intelligence.
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  Speaker 1: Because when something is when something that ACTIVISIA has made tangible,
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  Speaker 1: then it's for people to say it's not just a
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  Speaker 1: stock bubble or something some people call it dot com
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  Speaker 1: bubble that goes away. It's something that's already here. Just
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  Speaker 1: like goal. Goal can be on the stock market and
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  Speaker 1: going the self as a commodity. So goal is not
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  Speaker 1: going anywhere. So the commodification of activisial intelligence is a
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  Speaker 1: way forward for artificial intelligence to therefore be something that
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  Speaker 1: can be seen as part of the budget of a
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  Speaker 1: country as a natural resource or something that that it's
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  Speaker 1: stable for the GDP of a country, and it should
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  Speaker 1: be something more than a fiact. It's a paper dollar.
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  Speaker 1: It's not in modern paper with character security or with
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  Speaker 1: numerational value stamped on it. But the thing that makes
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  Speaker 1: the dollar, the paper, and the machines and and the chemicals,
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  Speaker 1: the minerals pretty their way, those are commodities. You need
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  Speaker 1: those commodities to make a dollar bill. So it's a
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  Speaker 1: wall of thinking how to because do we commodify artificial intelligences?
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  Speaker 1: The communification they call it come from invasions and creativity
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  Speaker 1: is for certain that AI cannot really create because when
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  Speaker 1: the terrible generative intelligence, it takes something from somewhere, it
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  Speaker 1: does not make anything for itself. That it's in a
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  Speaker 1: self natural That's why they call it artificial intelligence, not
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  Speaker 1: natural intelligence, the natural intelligence. It's intuition and creativity. You
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  Speaker 1: can you can think from nothing, you can you can
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  Speaker 1: see something and think something, and the ability to manipulate
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  Speaker 1: data and to manipulate information and to move the body,
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  Speaker 1: and to to just oppose complications. And the human mind
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  Speaker 1: or whether I keep saying the God's mind or the
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  Speaker 1: infinity mind, the human mind it is the most intelligent
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  Speaker 1: computational machine. However, is some planet Earth. So the issue
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  Speaker 1: of community defined artificial intelligence is depends on the human
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  Speaker 1: minds themselves. They need to They need to teach kids
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  Speaker 1: and students how to think and doubt and ask questions
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  Speaker 1: how to create. That's what I call the internal AI,
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  Speaker 1: the communification of AI. It's making the human being the
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  Speaker 1: commodity the asset of the AI itself, just as the
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  Speaker 1: mind is the commodity of the human being. That's what
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  Speaker 1: we talk about ipy mind and intellectual property, life rights,
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  Speaker 1: because that that thinking, that new way, it comes from
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  Speaker 1: somebody's mind. That new design, the new art, the new computation,
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  Speaker 1: the new software, they come from somebody's mind. So that
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  Speaker 1: mine is a commodity. But if AI is just as
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  Speaker 1: an algorithm on computer systems with very expensive data storage basis,
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  Speaker 1: and it's being used mostly for for for high for
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  Speaker 1: high end profit generating UH companies and humans, then AI
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  Speaker 1: loses validity start to be seen as an elite or
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  Speaker 1: something that's not related to the common person. It's always easy.
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  Speaker 1: When we start to ask the difficult questions about the
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  Speaker 1: validity of AI and the importance of AI, people always
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  Speaker 1: project in the future, even though AI is already here.
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  Speaker 1: The rudiment of AI is already here. But people still
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  Speaker 1: call the future gonna heal diseases, it's gonna cure cancers.
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  Speaker 1: But the AI is not doing that. But AI doing
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  Speaker 1: those things. That's the commodification of AI. It's not just
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  Speaker 1: about talk and creating redundancy and flipping stocks and you know,
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  Speaker 1: and investing in in making money out of the idea
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  Speaker 1: of the AI self and not the productive value of
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  Speaker 1: the it self, but the optimal productivity value of the
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  Speaker 1: it self or the optimal utility value. In the question
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  Speaker 1: because what is AI used for. The Chinese are doing
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  Speaker 1: a lot in the commodification of air If you go
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  Speaker 1: to China, because travel less cars, and you got restaurants,
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  Speaker 1: and you the meschionization of AI, and you got robotics
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  Speaker 1: in the street, you got delivery. The Chinese are doing
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  Speaker 1: everything smart cities and they're they're doing everything. They got
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  Speaker 1: smart mischinary or airports or or supply chain and right
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  Speaker 1: you can do most of these factories that were primary factories,
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  Speaker 1: the cotton factories or some farm products of fruits or
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  Speaker 1: vegetables or and greenhouses. You know, everything is done by
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  Speaker 1: a that is commodification, and it's a It's not something
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  Speaker 1: spoken Harvard or Mmity or Stanford or somewhere on the
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  Speaker 1: in the high ends of Silicon Valley or New York
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  Speaker 1: City or or Hong Kong or somewhere or London or
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  Speaker 1: Paris or or maybe to buy. It's something that it's
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  Speaker 1: with the people with the people always talk about the
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  Speaker 1: democratization of AI is that AI should be taught in
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  Speaker 1: schools and let the young minds and be able to
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  Speaker 1: generate thought with those AI tools given to them to
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  Speaker 1: create something that make AI to be relevant. If the
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  Speaker 1: AI becomes so intelligent and humans don't keep pace with intelligence,
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  Speaker 1: so what will be there again of it? Who be reduced?
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  Speaker 1: Whom will be reduced? Back to the same concept that
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  Speaker 1: that if ignorance is placed then is valuable wise Why
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  Speaker 1: would the AI beit that intelligent when humans don't keep pace,
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  Speaker 1: when humans don't understand it, when humans are detached to it,
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  Speaker 1: and when humans don't benefit from it. I talk about hospitals,
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  Speaker 1: for example, and medicine and treatment and surgery, we are
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  Speaker 1: we are actually not seeing the tangibility of AI or
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  Speaker 1: the commodification in these services. We don't see I do
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  Speaker 1: those things. On the contrary, is it's being good in
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  Speaker 1: generating that we already are good for pictures and for
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  Speaker 1: videos and you know, for pranks and you know for
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  Speaker 1: and you can see online politicians from both sides, you know,
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  Speaker 1: to just play with AI, and and that's not what
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  Speaker 1: it's meant to be. If that is that, then what
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  Speaker 1: is it? And the communication, the commodification equality, you know,
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  Speaker 1: she can't with making humans create jobs for themselves because
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  Speaker 1: the AI systems of today are laying off, laying off
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  Speaker 1: a lot of people say that if ignorance is places
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  Speaker 1: valatable wise, the AI is assuming that these people are
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  Speaker 1: not necessarily are redundant. They're non essential to these people,
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  Speaker 1: the AI is not to their benefit, and the benefit
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  Speaker 1: of AI to these people should not be on the
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  Speaker 1: social media watching short videos and making pranks. And it shouldn't.
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  Speaker 1: On the contrary, it takes away their creative power through
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  Speaker 1: imitation and copy, and it may render their minds more irrelevant.
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  Speaker 1: It means humans are determined non essential and irrelevant by
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  Speaker 1: the companies who work and they are fired, and the
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  Speaker 1: things that they could do for themselves, the little creative
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  Speaker 1: task the AID does it for them, and these humans
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  Speaker 1: therefore just redundant. That's the fear. Humans should not be
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  Speaker 1: redundant by AI. Humans should become not just the consumption
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  Speaker 1: base with the catalystis of the AI itself to almost
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  Speaker 1: expand our knowledge in educational institutions and give these AI
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  Speaker 1: tools to students and start to encourage them to create
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  Speaker 1: new things with those tools. Always remind people based on
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  Speaker 1: Trianglism that sometimes Trianglism or art is the end of
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  Speaker 1: art before AI. I don't think any human we do
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  Speaker 1: the works that Trianglism have done without AI. Jangleism is
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  Speaker 1: is the front tier. It's the it's a down of
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  Speaker 1: art to transition to ativicial intelligence. Cost Analism is everything organic,
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  Speaker 1: original and authentic. I make my mind to be the
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  Speaker 1: AI itself. Teach your mind how to scale something that's original, authentic.
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  Speaker 1: But if the originality and authenticity is lost, then the
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  Speaker 1: benefits of AI will be for the few companies with
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  Speaker 1: the intellectual property rights and what these companies will do.
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  Speaker 1: They will take raw knowledge from humans and their creativity
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  Speaker 1: and like a blender, they will blend this knowledge into
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  Speaker 1: their own variations of it and then sell the copy
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  Speaker 1: and then dismiss the original. It becomes a think where
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  Speaker 1: the perfects how to copy. Instead of the human being
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  Speaker 1: using AI to perfect its originality, the repercussions of A
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  Speaker 1: are not being used. Well, it's huge the humans are
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  Speaker 1: here or with the humans, we're here. But to make
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  Speaker 1: AI the future that we are dream that we all
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  Speaker 1: dream for, we should make sure that nobody is left behind.
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  Speaker 1: Some experts talk about redistribution of wealth, that the poor
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  Speaker 1: and rich or those are just words that creates division
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  Speaker 1: and remind people about socialism or communism. When you start
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  Speaker 1: to mix politics with activitial intelligence and economics, it's very dangerous.
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  Speaker 1: The AI does not exist unless humans exist. That with
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  Speaker 1: our human minds, there is not division intelligence. You do
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  Speaker 1: not expect people to give to make their wealth from
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  Speaker 1: their IP creativity or inventions turks to activisial intelligence and
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  Speaker 1: therefore distribute their wealth. I don't know that what distribution
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  Speaker 1: is always its guised with with connotations of hatred and
• 19:38
  Speaker 1: stigmatization and to leave certain people out when they said
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  Speaker 1: the distribution of wealth, it's not economics that that what distriusion.
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  Speaker 1: We can never distribute wealth because wealth in a self mustiple, region,
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  Speaker 1: an authentic h You generate your wealth, you can pay
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  Speaker 1: taxes for the government to use your taxes to have
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  Speaker 1: those in need or the or you can give to charity.
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  Speaker 1: There is nowhere or no war where somebody will when
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  Speaker 1: somebody's wealth will be taken away from them and redistributed
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  Speaker 1: to who on what counts. So all these economic theories,
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  Speaker 1: right from the days of of Ricardo and and aduancemat
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  Speaker 1: and with communist philosophers and socialist philosophers down the line,
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  Speaker 1: those are just all concepts that does not fit the
• 20:53
  Speaker 1: actificial intelligence error. What fits in this era of activity
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  Speaker 1: intelligence democracy. The democratization of AI in itself shouldn't be
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  Speaker 1: a government policy. It should be an educational policy where
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  Speaker 1: humans are giving opportunities in schools with the labs and
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  Speaker 1: computers and the AI software and algorithms to create, to invent,
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  Speaker 1: to innovate, to design something I knew. I should talk
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  Speaker 1: about the distribution of opportunities when it comes lativistial intelligence.
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  Speaker 1: If one comes to like America with China, has all
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  Speaker 1: all the software of AI and the chips and all
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  Speaker 1: the high end the development of support companarize or quantumized algorithms,
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  Speaker 1: and other countries don't have it, there'll be a problem.
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  Speaker 1: It means you produce products there are so advanced the
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  Speaker 1: poor countries we not need. It takes, for example, to
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  Speaker 1: day how much it used to take to produce all
• 22:23
  Speaker 1: these military weapons. See that cost. It is obsolete. It
• 22:29
  Speaker 1: takes nothing to produce a drone to day. There's a
• 22:32
  Speaker 1: I at work, but this A is mostly used at
• 22:39
  Speaker 1: warfare or on the battle field because there drones are
• 22:44
  Speaker 1: come out of the factories in Russia and Ukraine every day.
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  Speaker 1: That's a r the satellites, the starlings, the g p s,
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  Speaker 1: the robotics, the games that get splayed today, those softwarees.
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  Speaker 1: We must be able to democratize AI. You go to China,
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  Speaker 1: for example e commerce in rural areas. You know people
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  Speaker 1: just found their products and you know from their from
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  Speaker 1: their from their farms. They can sell their products to
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  Speaker 1: the market. That's the democratization of AI, and that's the
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  Speaker 1: commodification of AI. Go to Saudi Arabia, their usage for
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  Speaker 1: AI for for for for their oil rigs and the
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  Speaker 1: economists of scales or their are to minimize risks or
• 23:52
  Speaker 1: maximize profit to make humans to need AI. AI should
• 23:58
  Speaker 1: be something tangible. If it has something tangible to sell
• 24:03
  Speaker 1: to you. The AI language models is very important because
• 24:15
  Speaker 1: with addiction and alphabet humans can do very less. That's
• 24:25
  Speaker 1: a springboard what will create open models. Example with dipsick,
• 24:35
  Speaker 1: which most Americans should learned from that. You you you
• 24:40
  Speaker 1: you democratize the the cookbooks, right, you can therefore use
• 24:50
  Speaker 1: the cookbook to help you program oc code. That's what
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  Speaker 1: should be teaching. Yeah, but if it's all about consumptions,
• 25:03
  Speaker 1: you can see it's mostly about consumptions. We are not
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  Speaker 1: helping the future and we are not helping atificial intelligence.
• 25:17
  Speaker 1: Because artificial intelligence is here, it's not going away. We
• 25:24
  Speaker 1: should talk about the Internet of things. What I'm talking
• 25:29
  Speaker 1: about is about the artificial intelligence of things. That's very important.
• 25:36
  Speaker 1: Remember the Intene's of things with five G, four G,
• 25:39
  Speaker 1: three G and our six gs. We're trying to integrate
• 25:42
  Speaker 1: the Internet of things. You know, we should be thinking
• 25:45
  Speaker 1: about the AI of things. We should learn from the
• 25:56
  Speaker 1: Chinese example, the Chinese and the Indians in South Korea
• 26:01
  Speaker 1: and Japan and some of these countries, and Singapore and
• 26:05
  Speaker 1: Hong Kong and Taiwan, these places are uh commodifine artificial intelligence.
• 26:19
  Speaker 1: Thanks for example, the rare the rare earth minerals, there's
• 26:24
  Speaker 1: rare earth. Everyone plan on Earth. But the intelligence to
• 26:28
  Speaker 1: process and define and refine the rare earth comes from China.
• 26:34
  Speaker 1: That's artificial intelligence. That's leverage and activitial intelligence. That's commodifine
• 26:39
  Speaker 1: artificial intelligence. Talk about the green industries, the nuclear plants,
• 26:51
  Speaker 1: a transportation, space technology, new materials technologies and no no technologies.
• 27:03
  Speaker 1: You need to make a r to be relevant. Some
• 27:08
  Speaker 1: people want to use a as a political party. You know,
• 27:10
  Speaker 1: it's like this brother dog speech and you know like
• 27:15
  Speaker 1: like like selling snake oil to people and so AI
• 27:20
  Speaker 1: is not it's not a thing that it's calm. It's
• 27:23
  Speaker 1: the thing that's real. And some people will say that
• 27:26
  Speaker 1: like something that they can just cash in and it's
• 27:30
  Speaker 1: a bubble that will go away. No, it will not
• 27:31
  Speaker 1: go away. All you need to learn to do is
• 27:36
  Speaker 1: commodify artificial intelligence. And the first place to start is
• 27:42
  Speaker 1: in the minds of students kindergarten, elementary school, middle school,
• 27:49
  Speaker 1: high school, colleges, institutions, and all these process create a
• 27:58
  Speaker 1: creative society using artificial intelligence, and pay more attention on
• 28:06
  Speaker 1: originality and authenticity. Tend to avoid repetition and replication of imitation.
• 28:16
  Speaker 1: Else we are not going anywhere. There are those who
• 28:22
  Speaker 1: use a I to to do more air, more harm,
• 28:28
  Speaker 1: to create more division, right for racism, sexism, backetry. That's
• 28:37
  Speaker 1: why I call the negative AI. You cannot you cannot
• 28:42
  Speaker 1: take that away, become the minimize it with our quordims
• 28:46
  Speaker 1: of your that you are deployed. The choice becomes what
• 28:53
  Speaker 1: we do AIR. You can integrate a I. You can
• 29:01
  Speaker 1: make AI to be a thing that comes and goals.
• 29:06
  Speaker 1: It will come and go for you. If not go
• 29:09
  Speaker 1: for rest Off, you might have because see her to start.
• 29:13
  Speaker 1: Remember the digital currency and the beginning of bitcoin, people
• 29:17
  Speaker 1: talked it was something that cannot be embedding systems. Just
• 29:21
  Speaker 1: that AI Bitcoin is becoming the thing because once you
• 29:28
  Speaker 1: develop an intelligence, the uses for it follow. The question
• 29:33
  Speaker 1: becomes sometimes that do you need something before you build something,
• 29:40
  Speaker 1: or if you build something and create a need for it.
• 29:46
  Speaker 1: AI is that thing that you build and create a
• 29:50
  Speaker 1: need for it. That building is a common deification and
• 29:59
  Speaker 1: I need it's the market philosopher Prince our intelligence is philosopher.
• 30:09
  Speaker 1: Prince is reis are from the great city of Las Vegas,
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  Speaker 1: October thirty eighth, twenty twenty five, on the AI of
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  Speaker 1: Things and the commodification of a Tucial intelligence. Thank you.