Prince Israel Zaar on: The AI of Things and Commodification of AI (Minds)

Episode Transcript

Speaker 1 (00:01):
The issue of of humans depending on artificial intelligence to
solve all the problems of humans. Mm hmm, it's a

(00:22):
stretch and asking too much from the AI. The realities
is already here that that AI is not a natural

(00:42):
intelligence and it's an artificial intelligence. So it's an artificiality
software data based and the data centered, digitarize and cheap

(01:07):
or semiconductor related and little graphic machine related type of
intelligence that usually depends on on the computational powers of
the agorithms and with the drive for quantum computing and

(01:29):
diffusion technologies and energies needed to power nartificial intelligence systems.
The construct of AI as as humanity is great as invention.

(01:51):
It's in itself misillading. AI is not an invention. It's
intelligence of the human as a natural about logical intelligence
of the human that has been scaled artificially so we
can the concept of seeing AI is the AI exponunciation.

(02:13):
That's the point where humans to be talking about. Is
AI exponunciation. The scaling of AR and AI diversification, So
diversification in the development and deployment and usages of AR.
I've been using many other domains. But at the same time,

(02:38):
the advantages of artificial intelligence is enormous. The question becomes
when we attain superintelligence or general AI, digital superintelligence, all
these concepts that are spoken by and the fear is

(02:59):
that the group of some elite elead with pristine universities
and they sit together and deside the future of the
ward and capital follow what they say. If AI is
not meant for everybody, then it becomes something like a

(03:26):
bubble and me it's the The utility of a division
intelligence should be the most important thing. I mean a
division intelligence should be seen as a commodity, seen as
a commodity, not just as a stock. Right to make

(03:46):
AI to be seen as goal, as a rare, a
cocoa or some some natural element. That's why I call
A or a digital mineral, digital mineral. That division intelligence

(04:08):
is able to produce something a mind of itself that
is necessary for the benefit of humanity. If you see
AI as a rush for gol or a rush for oil,
it means you're minimizing the potentials of AI. There will

(04:31):
be countries that's the AI just as a stock, and
of the countries that AI as a stock and as
a commodity. The commodification of a division. Intelligence is very
very important in the reliability and investments and sustainability or

(04:58):
continuity of the AI in itself. When things are commodified,
they become the base to something that's needed to do
something you need the commodity you need a mineral to

(05:20):
buy to do something with you can't see. For example, example,
the Nvidia envide ourselves what AI what the companies of
a I need. It produced the commodities necessary for to
EASi intelligence. So you need to buy from Nvidia that

(05:43):
I advanced hips to do what AI can do for you.
So Nvidia has commodify itself, just as the lithographic machines.
Those countries have modified themselves same just as in Taiwan,

(06:04):
the Taiwan chip companies have commodified themselves, just as Uawei
and other Chinese companies. They have commodified the artificial intelligence.
Because when something is when something that ACTIVISIA has made tangible,
then it's for people to say it's not just a
stock bubble or something some people call it dot com

(06:28):
bubble that goes away. It's something that's already here. Just
like goal. Goal can be on the stock market and
going the self as a commodity. So goal is not
going anywhere. So the commodification of activisial intelligence is a
way forward for artificial intelligence to therefore be something that

(06:50):
can be seen as part of the budget of a
country as a natural resource or something that that it's
stable for the GDP of a country, and it should
be something more than a fiact. It's a paper dollar.

(07:14):
It's not in modern paper with character security or with
numerational value stamped on it. But the thing that makes
the dollar, the paper, and the machines and and the chemicals,

(07:41):
the minerals pretty their way, those are commodities. You need
those commodities to make a dollar bill. So it's a
wall of thinking how to because do we commodify artificial intelligences?
The communification they call it come from invasions and creativity

(08:04):
is for certain that AI cannot really create because when
the terrible generative intelligence, it takes something from somewhere, it
does not make anything for itself. That it's in a
self natural That's why they call it artificial intelligence, not
natural intelligence, the natural intelligence. It's intuition and creativity. You

(08:26):
can you can think from nothing, you can you can
see something and think something, and the ability to manipulate
data and to manipulate information and to move the body,
and to to just oppose complications. And the human mind

(08:48):
or whether I keep saying the God's mind or the
infinity mind, the human mind it is the most intelligent
computational machine. However, is some planet Earth. So the issue
of community defined artificial intelligence is depends on the human
minds themselves. They need to They need to teach kids

(09:11):
and students how to think and doubt and ask questions
how to create. That's what I call the internal AI,
the communification of AI. It's making the human being the
commodity the asset of the AI itself, just as the

(09:32):
mind is the commodity of the human being. That's what
we talk about ipy mind and intellectual property, life rights,
because that that thinking, that new way, it comes from
somebody's mind. That new design, the new art, the new computation,
the new software, they come from somebody's mind. So that

(09:54):
mine is a commodity. But if AI is just as
an algorithm on computer systems with very expensive data storage basis,
and it's being used mostly for for for high for

(10:15):
high end profit generating UH companies and humans, then AI
loses validity start to be seen as an elite or
something that's not related to the common person. It's always easy.

(10:39):
When we start to ask the difficult questions about the
validity of AI and the importance of AI, people always
project in the future, even though AI is already here.
The rudiment of AI is already here. But people still
call the future gonna heal diseases, it's gonna cure cancers.
But the AI is not doing that. But AI doing

(11:03):
those things. That's the commodification of AI. It's not just
about talk and creating redundancy and flipping stocks and you know,
and investing in in making money out of the idea

(11:27):
of the AI self and not the productive value of
the it self, but the optimal productivity value of the
it self or the optimal utility value. In the question
because what is AI used for. The Chinese are doing

(11:49):
a lot in the commodification of air If you go
to China, because travel less cars, and you got restaurants,
and you the meschionization of AI, and you got robotics
in the street, you got delivery. The Chinese are doing

(12:12):
everything smart cities and they're they're doing everything. They got
smart mischinary or airports or or supply chain and right
you can do most of these factories that were primary factories,
the cotton factories or some farm products of fruits or
vegetables or and greenhouses. You know, everything is done by

(12:34):
a that is commodification, and it's a It's not something
spoken Harvard or Mmity or Stanford or somewhere on the
in the high ends of Silicon Valley or New York
City or or Hong Kong or somewhere or London or
Paris or or maybe to buy. It's something that it's

(12:58):
with the people with the people always talk about the
democratization of AI is that AI should be taught in
schools and let the young minds and be able to
generate thought with those AI tools given to them to

(13:20):
create something that make AI to be relevant. If the
AI becomes so intelligent and humans don't keep pace with intelligence,
so what will be there again of it? Who be reduced?
Whom will be reduced? Back to the same concept that
that if ignorance is placed then is valuable wise Why

(13:45):
would the AI beit that intelligent when humans don't keep pace,
when humans don't understand it, when humans are detached to it,
and when humans don't benefit from it. I talk about hospitals,
for example, and medicine and treatment and surgery, we are

(14:09):
we are actually not seeing the tangibility of AI or
the commodification in these services. We don't see I do
those things. On the contrary, is it's being good in
generating that we already are good for pictures and for
videos and you know, for pranks and you know for

(14:33):
and you can see online politicians from both sides, you know,
to just play with AI, and and that's not what
it's meant to be. If that is that, then what
is it? And the communication, the commodification equality, you know,

(14:56):
she can't with making humans create jobs for themselves because
the AI systems of today are laying off, laying off
a lot of people say that if ignorance is places
valatable wise, the AI is assuming that these people are
not necessarily are redundant. They're non essential to these people,

(15:21):
the AI is not to their benefit, and the benefit
of AI to these people should not be on the
social media watching short videos and making pranks. And it shouldn't.
On the contrary, it takes away their creative power through
imitation and copy, and it may render their minds more irrelevant.

(15:45):
It means humans are determined non essential and irrelevant by
the companies who work and they are fired, and the
things that they could do for themselves, the little creative
task the AID does it for them, and these humans
therefore just redundant. That's the fear. Humans should not be

(16:07):
redundant by AI. Humans should become not just the consumption
base with the catalystis of the AI itself to almost
expand our knowledge in educational institutions and give these AI
tools to students and start to encourage them to create

(16:31):
new things with those tools. Always remind people based on
Trianglism that sometimes Trianglism or art is the end of
art before AI. I don't think any human we do
the works that Trianglism have done without AI. Jangleism is

(16:58):
is the front tier. It's the it's a down of
art to transition to ativicial intelligence. Cost Analism is everything organic,
original and authentic. I make my mind to be the
AI itself. Teach your mind how to scale something that's original, authentic.

(17:25):
But if the originality and authenticity is lost, then the
benefits of AI will be for the few companies with
the intellectual property rights and what these companies will do.
They will take raw knowledge from humans and their creativity
and like a blender, they will blend this knowledge into

(17:47):
their own variations of it and then sell the copy
and then dismiss the original. It becomes a think where
the perfects how to copy. Instead of the human being
using AI to perfect its originality, the repercussions of A

(18:14):
are not being used. Well, it's huge the humans are
here or with the humans, we're here. But to make
AI the future that we are dream that we all

(18:37):
dream for, we should make sure that nobody is left behind.
Some experts talk about redistribution of wealth, that the poor
and rich or those are just words that creates division
and remind people about socialism or communism. When you start
to mix politics with activitial intelligence and economics, it's very dangerous.

(19:05):
The AI does not exist unless humans exist. That with
our human minds, there is not division intelligence. You do
not expect people to give to make their wealth from
their IP creativity or inventions turks to activisial intelligence and

(19:26):
therefore distribute their wealth. I don't know that what distribution
is always its guised with with connotations of hatred and
stigmatization and to leave certain people out when they said
the distribution of wealth, it's not economics that that what distriusion.

(19:52):
We can never distribute wealth because wealth in a self mustiple, region,
an authentic h You generate your wealth, you can pay
taxes for the government to use your taxes to have
those in need or the or you can give to charity.

(20:17):
There is nowhere or no war where somebody will when
somebody's wealth will be taken away from them and redistributed
to who on what counts. So all these economic theories,
right from the days of of Ricardo and and aduancemat

(20:43):
and with communist philosophers and socialist philosophers down the line,
those are just all concepts that does not fit the
actificial intelligence error. What fits in this era of activity
intelligence democracy. The democratization of AI in itself shouldn't be

(21:07):
a government policy. It should be an educational policy where
humans are giving opportunities in schools with the labs and
computers and the AI software and algorithms to create, to invent,

(21:27):
to innovate, to design something I knew. I should talk
about the distribution of opportunities when it comes lativistial intelligence.
If one comes to like America with China, has all

(21:49):
all the software of AI and the chips and all
the high end the development of support companarize or quantumized algorithms,
and other countries don't have it, there'll be a problem.

(22:09):
It means you produce products there are so advanced the
poor countries we not need. It takes, for example, to
day how much it used to take to produce all
these military weapons. See that cost. It is obsolete. It
takes nothing to produce a drone to day. There's a

(22:32):
I at work, but this A is mostly used at
warfare or on the battle field because there drones are
come out of the factories in Russia and Ukraine every day.
That's a r the satellites, the starlings, the g p s,

(22:58):
the robotics, the games that get splayed today, those softwarees.
We must be able to democratize AI. You go to China,
for example e commerce in rural areas. You know people

(23:22):
just found their products and you know from their from
their from their farms. They can sell their products to
the market. That's the democratization of AI, and that's the
commodification of AI. Go to Saudi Arabia, their usage for
AI for for for for their oil rigs and the

(23:48):
economists of scales or their are to minimize risks or
maximize profit to make humans to need AI. AI should
be something tangible. If it has something tangible to sell
to you. The AI language models is very important because

(24:15):
with addiction and alphabet humans can do very less. That's
a springboard what will create open models. Example with dipsick,

(24:35):
which most Americans should learned from that. You you you
you democratize the the cookbooks, right, you can therefore use
the cookbook to help you program oc code. That's what

(24:58):
should be teaching. Yeah, but if it's all about consumptions,
you can see it's mostly about consumptions. We are not
helping the future and we are not helping atificial intelligence.
Because artificial intelligence is here, it's not going away. We

(25:24):
should talk about the Internet of things. What I'm talking
about is about the artificial intelligence of things. That's very important.
Remember the Intene's of things with five G, four G,
three G and our six gs. We're trying to integrate
the Internet of things. You know, we should be thinking

(25:45):
about the AI of things. We should learn from the
Chinese example, the Chinese and the Indians in South Korea
and Japan and some of these countries, and Singapore and
Hong Kong and Taiwan, these places are uh commodifine artificial intelligence.

(26:19):
Thanks for example, the rare the rare earth minerals, there's
rare earth. Everyone plan on Earth. But the intelligence to
process and define and refine the rare earth comes from China.
That's artificial intelligence. That's leverage and activitial intelligence. That's commodifine

(26:39):
artificial intelligence. Talk about the green industries, the nuclear plants,
a transportation, space technology, new materials technologies and no no technologies.

(27:03):
You need to make a r to be relevant. Some
people want to use a as a political party. You know,
it's like this brother dog speech and you know like
like like selling snake oil to people and so AI
is not it's not a thing that it's calm. It's
the thing that's real. And some people will say that

(27:26):
like something that they can just cash in and it's
a bubble that will go away. No, it will not
go away. All you need to learn to do is
commodify artificial intelligence. And the first place to start is
in the minds of students kindergarten, elementary school, middle school,

(27:49):
high school, colleges, institutions, and all these process create a
creative society using artificial intelligence, and pay more attention on
originality and authenticity. Tend to avoid repetition and replication of imitation.

(28:16):
Else we are not going anywhere. There are those who
use a I to to do more air, more harm,
to create more division, right for racism, sexism, backetry. That's

(28:37):
why I call the negative AI. You cannot you cannot
take that away, become the minimize it with our quordims
of your that you are deployed. The choice becomes what
we do AIR. You can integrate a I. You can

(29:01):
make AI to be a thing that comes and goals.
It will come and go for you. If not go
for rest Off, you might have because see her to start.
Remember the digital currency and the beginning of bitcoin, people
talked it was something that cannot be embedding systems. Just

(29:21):
that AI Bitcoin is becoming the thing because once you
develop an intelligence, the uses for it follow. The question
becomes sometimes that do you need something before you build something,
or if you build something and create a need for it.

(29:46):
AI is that thing that you build and create a
need for it. That building is a common deification and
I need it's the market philosopher Prince our intelligence is philosopher.

(30:09):
Prince is reis are from the great city of Las Vegas,
October thirty eighth, twenty twenty five, on the AI of
Things and the commodification of a Tucial intelligence. Thank you.