MARC ANDREESSEN:
This is my belief and what I've been trying
to tell people in Washington, which is:
If you thought social
media censorship was bad, this has the potential to be a
thousand times worse.
And the reason is, social media is important, but at the end of
the day, it's "just people talking to each other."
AI is going
to be the control layer on everything. Right? So AI is going to
be the control layer on how your kids learn at school. It's
going to be the control layer on who gets loans.
It's going to
be the control layer on: does your house open when you come to
the front door? It's going to be the control layer on
everything.
Right?
And so if that gets wired into the political
system the way that the banks did and the way that social media
did, we are in for a very bad future.
And that's a big thing
that we've been trying to prevent - is to keep that from
happening.
SOURCE: Joe
Rogan Experience #2234 – Marc Andreessen
JAMES CORBETT:
Welcome back, friends. Welcome back to The
Corbett Report. I'm James Corbett of corbettreport.com,
coming to you, as always, from the sunny climes of western
Japan, here in March of 2025, with Episode 473 of The Corbett
Report podcast, "Algocracy: Government for the New World Order."
Those chilling opening words portraying what
a government by algorithm might look like come to us via Marc
Andreessen on The Joe Rogan Experience podcast, where Marc is
warning us about the possibilities of not just social media
censorship and control, but AI censorship and control, and how
much worse that will be when AI is a layer on everything we do
and everything we use.
Now, alright, let's start today's exploration
- which will no doubt get into why I do not trust Marc
Andreessen to keep us safe from the coming AI technocratic
overlords - by defining our terms.
Probably this is a new term for most people
in the audience:
"algocracy."
This is a term that we can work
out from etymology, if nothing else.
Kratos, of course, being
the Greek word for "rule," which is where we derive, for
example, "democracy": demos kratos - rule by the public.
Or, for example, "autocracy" - the autocrat.
That's rule by "self" - self-rule.
Well, in that case, of
course, referring to the self-rule as in rule by a dictator, who
rules by himself. Or, I suppose, there's "kleptocracy" - rule by
thieves.
Or, as I hope my listeners are aware by now,
"kakistocracy"
- rule by the worst or the most evil, which may be an apt
description of governing systems generally, but at any rate...
"Algocracy," then, is rule by algorithm.
And
if you think that such a thing is some far-off, weird fantasy
that... who on earth is even talking about? well, may I present
to you... oh, I don't know,... a completely different clip
from The Joe Rogan Experience with Marc Andreessen.
JOE
ROGAN: I've said publicly - and I'm half-joking -
that we need AI government.
It sounds crazy to say, but
instead of having this, like, alpha chimpanzee that runs the
tribe of humans, how about we have some, like, really
logical, fact-based, you know, program that, you know, makes
it, like, really reasonable and equitable in a way that we
can all agree to. Let's govern things in that manner.
SOURCE: Joe
Rogan Experience #2234 – Marc Andreessen
Hmm. Curious.
Yes, let me spell that out for
anyone who didn't notice. Yes, that is the exact same pair of
people - i.e., Marc Andreessen and Joe Rogan - who in the
opening clip were warning about the dangers of a world of AI
governance on top of every aspect of our lives being layered
with AI.
Isn't that a scary prospect?
But, yes, that's the exact
same pair who are now chortling about how it sounds crazy to say
it, but we need AI government.
And, yep, instead of having, like, this alpha
chimpanzee that runs the tribe of humans [chuckle], how about we
have some really logical, fact-based, you know, program [yep!]
that, you know, makes it really reasonable and equitable in a
way that we can all agree to let's govern things in that manner.
Wow. Yeah, right.
Okay, these are the guys
that are going to save you from the AI nightmare of the future.
Because don't worry, Andreessen and his team of technocratic
crusaders are going to save you from that woke liberal AI and
replace it with the cool Trumpian AI.
Woohoo! Sign me up!
Alright, in case you need to know what is
happening here, I will direct your attention to a series that I
sincerely hope my listeners are already familiar with, but if
not, you will be now.
It is called "The
Dark MAGA Gov-Corp Technate." It is being penned by
Iain Davis, previous
guest of The Corbett Report, and it is up on Unlimited
Hangout - so far, Part
1 and Part
2.
I would sincerely hope you are following this series.
Iain spells out exactly who Andreessen is and
what his connections are.
For example, in this section on "The
Techno-populist Myth," Iain writes:
Rather than technopopulists, it is the "TechnoKings"
[you have to see Part 1 of the series to understand that
reference] who have been "assisting" Trump's selection of
his administration's personnel.
Musk's influence is well
known, but Marc Andreessen, the venture capitalist
co-founder of Andreessen Horowitz, is
another influencer.
Andreessen has not just
been involved in making Trump's picks for technology and
economic related positions - areas where he
perhaps has some expertise - but also for US defense
and intelligence posts.
Andreessen's Machiavellian reasons for
supporting Trump are obvious. As reported
by The Verge, in July 2024 Andreessen spelled out that
he and his partners were backing Trump, not because they
shared any of the concerns voiced by Republican voters, but
because they could use the Trump administration to deliver
the regulatory environment they wanted for their project to
succeed.
That project is a gov-corp Technate.
Not technopopulism, but Techno-Optimism...
In 2023, Marc Andreessen published "The
Techno-Optimist Manifesto."
He explained precisely why
he and his TechKing partners have seized their opportunity:
"We
can advance to a far superior way of living, and of
being. [...]
We believe that there is no material
problem - whether created by nature or by
technology - that cannot be solved with more
technology. [...]
We have a problem of poverty, so we
invent technology to create abundance. Give us a
real-world problem, and we can invent technology that
will solve it.
"[...]
Combine technology and markets and you get what Nick
Land has termed the techno-capital machine, the engine
of perpetual material creation, growth, and abundance.
[...]
We believe in accelerationism
- the
conscious and deliberate propulsion of technological
development - to [...] ensure the
techno-capital upward spiral continues forever. [...]
"We
believe intelligence is in an upward spiral, [...] as
people form symbiotic relationships with machines into
new cybernetic systems. [...]
We believe Artificial
Intelligence is our alchemy, our Philosopher's Stone.
[...] We believe in Augmented Intelligence just as
much as we believe in Artificial Intelligence.
Intelligent machines augment intelligent humans,
driving a geometric expansion of what humans can
do."
SOURCE: The
Dark MAGA Gov-Corp Technate - Part 2
... I don't know, type the word "technocracy"
into my search bar. Start perhaps with my Questions For Corbett
on "What
is Technocracy?" and follow the thread from there, because
these are some very important terms that, as I hope you can
start to understand, are becoming more and more important.
As Iain sums up here, at least in this section of his very
voluminous article:
They [as in Thiel, Andreessen, and
Musk]
want to implement the
Dark Enlightenment and are hell-bent
on establishing gov-corp Technates.
Their oligarch network
is indistinguishable from the Trump administration.
Currently, the most powerful nation on earth is in their
hands.
And there are receipts to back all of this
up, including some of the ones that Iain referenced just in
those few paragraphs, let alone the many, many, many, many,
many, many references in the overall series.
For example, as The New Republic was
reporting, "Here
Are All the Tech Bros Helping Elon Musk Gut the Government."
And, of course, they do mention Marc
Andreessen was among those directly involved in,
"recruiting and
interviewing efforts for positions in [Trump's] incoming
administration."
They even go out and straight call him
"technocrat":
"The technocrat is one-half of Andreessen
Horowitz."
And we can get this from The
Washington Post ("Democracy Dies in Darkness!") in
which they report:
Andreessen has been quietly and
successfully recruiting and interviewing candidates for
positions across the incoming administration[.]
[...] The
venture capitalist reach is not limited to decisions related
to tech and economics personnel, one person who speaks to
Trump regularly said. Andreessen has also advised the
incoming administration on candidates for posts at the
Department of Defense and intelligence agencies, that person
said.
And you can read more on that in that
article.
And why, why on earth would we not trust this wonderful
technocratic venture capitalist who is out-and-out saying that
AI is their "alchemy and Philosopher's stone," and they're going
to "augment humans" into cybernetic systems?
Why wouldn't we
trust someone like that sitting there at the heart of the Trump
administration directing who will populate various agencies?
Well, some indication of that might come
from this
article in The Verge [titled],
"The moral bankruptcy of Marc
Andreessen and Ben Horowitz: Two of Silicon Valley's famous
venture capitalists make the case for backing Trump, that their
ability to make money is the only value that matters."
It dissects an edition of The Ben & Marc
Show, the podcast that they do together, where they laid
out their reasons quite stunningly and quite out there in the
open - the exact reasons that they want to be sitting there at
the heart of government, directing government agencies, is so
that they can ensconce themselves more deeply in the process of
governing over individuals and ultimately, ultimately the planet
itself.
In order to bring about their
techno-optimistic agenda, guys! It's not technocracy and it's
not rule-by-technocrats. No, no, no. It's techno-optimism.
They're going to make the world a better place! And why wouldn't
you trust them?
Alright. I trust that you, being
well-informed listeners of The Corbett Report, will already have
something of a suspicion that this might not be a good thing.
But, but, I mean, come on!
This is all just highfalutin sci-fi talk.
It's not like anyone is actually at the moment implementing AI
at the heart of government, right?
And now shifting focus to Elon Musk, the
Tesla CEO and head of DOGE, has made all sorts of headlines
this week.
The latest is his push to incorporate Artificial
Intelligence for running federal departments.
After firing
tens of thousands of federal employees, DOGE now demands the
remaining to explain their weekly accomplishments via email.
Musk is using AI to process the email responses and
determine who should remain employed.
DOGE has also rolled
out an AI Chatbot for federal workers that is being
reportedly used for carrying out general tasks.
According to
reports, employees are using the DOGE chatbot for drafting
emails, creating talking points and summarizing drafts.
Meanwhile, the State Department is planning to use AI to
scan social media posts of visa holders residing in the US
to identify if they support terror groups like Hamas.
SOURCE: Musk
Wants AI to Replace Fired Federal Employees, Launches DOGE
Chatbot
Yeah, newsflash for anyone who didn't catch
it:
the AI algorithmic overtaking of government agencies is already underway,
thanks to co-President Elon "Hipster Soros" Musk.
Well, anyway,
we can follow the thread of this cookie crumb trail from a
variety of stories.
First, coming at the very beginning of
February: "Elon
Musk Ally Tells Staff 'AI-First' Is the Future of Key Government
Agency," which notes that:
In a Monday morning meeting, Thomas Shedd,
the recently appointed Technology Transformation Services
director and Elon Musk ally, told General Services
Administration workers that the agency's new administrator
is pursuing an "AI-first strategy"[.]
Which is followed up a few days later by
this:
"Elon
Musk's DOGE is feeding sensitive federal data into AI to target
cuts":
Representatives from Elon Musk's U.S.
DOGE Service have fed sensitive data from across the
Education Department into artificial intelligence software
to probe the agency's programs and spending[.]
[...] The
DOGE team is using AI software accessed through Microsoft's
cloud computing service Azure to pore over every dollar of
money the department disperses, from contracts to grants to
work trip expenses, one of the people said.
How else are you going to look over all this
data?
Followed up shortly [by this]:
"DOGE
will use AI to assess the responses of federal workers who were
told to justify their jobs via email," noting:
Responses to the Elon Musk-directed email
to government employees about what work they had
accomplished in the last week are expected to be fed into an
artificial intelligence system to determine whether those
jobs are necessary, according to three sources with
knowledge of the system.
The information will go into an LLM
(Large Language Model), an advanced AI system that looks at
huge amounts of text data to understand, generate and
process human language, the sources said.
The AI system will
determine whether someone's work is mission-critical or not.
Well, that's a question that, hey, finally,
the left side of the phoney left-right bird of prey - wouldn't
you know it, broken clock right twice a decade - suddenly are
interested in such questions.
So now we have [this]:
"Dems
ask federal agencies for reassurance DOGE isn't feeding data
into AI willy-nilly"... because they don't even know what's
happening:
House Democrats have sent letters to 24
federal agencies asking for assurances that Elon Musk's DOGE
team is not feeding sensitive government data into
"unapproved and unaccountable" AI systems[.] [...]
The lawmakers say it would be
inappropriate for the personal information of Americans
[Social Security numbers, bank and transaction data, etc.]
to be sifted through by such systems.
[House Committee on Oversight and
Government Reform ranking member Gerald E.] Connolly also
expressed concern over reported claims DOGE has proposed
cuts at many agencies based on the advice of unvetted AI
systems[.] [...]
The letter also cited independent analyst
Cyberintelligence Brief, which claimed supply chain
management platform Inventry.ai is ingesting government
data.
The analyst claims "multiple US government IP
addresses point to its REST API."
And if you want, you can follow it up by
taking a look at one of those letters that are being sent.
For
example, this
one to "The Honorable Howard Lutnick."
I think "honorable" is a... well, may not be
the right word to use there. Anyway, you can go and read through
what type of information the other half of the supposed
governing system [that] doesn't even know what that half is
doing - or at least what Elon Musk is directing.
But it is, of course, not just Elon
Musk.
He is not the only billionaire tech oligarch with his
snoot in this particular pie, lusting to get after not only the
data of every single American and everyone else that is snarfed
up by the US government, but, more importantly, to run AI coding
agents on all of that data to get all of the information, tie
things together.
You know, exactly, exactly what the deep
state was lusting after with its scuttled program back in 2002,
2003: the Total Information Awareness Office.
Remember that -
with the all-seeing eye of Horus radiating the entire earth?
Remember how they had to back off on that:
"Okay, guys, we don't mean that...!"
And who took over that program?
And who
picked up that slack?
Oh, suddenly, as soon as [snaps fingers]
the TIA went away, Palantir was suddenly getting CIA contracts.
And Peter Thiel and Alex Karp were on the scene to supply the
exact services that Poindexter and the others at DARPA were
lusting after in that particular program.
Wow, what a co-inky-dink.
You can find out
all about it in my three-part series [Part
1, Part
2, Part
3] on Peter Thiel and, of course, my previous
editorial on Palantir itself.
But let's keep moving on. As I say, these are
not the only people involved.
Just in case you might be
thinking,
"Wow, maybe Trump has no idea any of this is going on
..."
No! He's quite well aware - or at least whatever person or
persons are puppeteering him are quite well aware.
[From the White House]: "Fact
Sheet: President Donald J. Trump takes action to enhance
America's AI Leadership."
"America First," by which I mean "AI First,"
by which I mean "BlackRock First."
Anyway, and if you read
through, of course, all of these terrible Biden Executive Orders
on AI, we're all weak and stuff.
We're going to have nice,
strong AI for America's new AI leadership.
And of course:
President Trump also took executive
action in 2020 to establish the first-ever guidance for
federal agency adoption of AI to more effectively deliver
services to the American people and foster public trust in
this critical technology.
SOURCE: Fact Sheet: President Donald J.
Trump Takes Action to Enhance America's AI Leadership
You better trust it, guys.
And, oh yeah: What happened on the second day
of the new Trump administration? The second day. Oh, that's
right.
The big
announcement of the $500 billion AI investment in Project Stargate, where Trump appeared alongside his best buddies,
Masayoshi Son and Sam "Stare into the Orb" Altman and Larry "CIA
Deep State Oracle" Ellison to announce this wonderful
breakthrough AI technology that's going to make America First
and Great Again and all of that jazz.
And what kinds of things are they
specifically working on with this AI technology again?
LARRY
ELLISON:
One of the most exciting things we're
working on, again, using the tools that Sam and Masa are
providing, is a cancer vaccine.
It's very interesting. It
turns out - I'll be quick - all of our cancers, cancer
tumors, little fragments of those tumors, float around in
your blood. So you can do early cancer detection. You can do
early cancer detection with a blood test.
And using AI to look at the blood test,
you can find the cancers that are actually seriously
threatening the person. So we can, again, cancer diagnosis
using AI has the promise of just being a simple blood test.
Then, beyond that, once we gene sequence that cancer tumor,
you can then vaccinate the person, design a vaccine for
every individual person to vaccinate them against that
cancer.
And you can make that vaccine, that mRNA vaccine,
you can make that robotically - again, using AI - in about
48 hours.
So imagine early cancer detection, the development
of a cancer vaccine for your particular cancer aimed at you
- and have that vaccine available in 48 hours.
This is the
promise of AI and the promise of the future.
SOURCE: LIVE:
President Trump announces $500 billion investment in AI
Infrastructure project called Stargate
Shocking, I know, that Mr. Warp Speed MAGA
Jab, the President who bragged that the COVID vaccine was the
greatest accomplishment of his administration, would have these
AI hucksters up there telling us about the marvels of AI
engineering of the next generation of mRNA vaccines - or genetic
interventions.
Wonderful. How could this go wrong?
And in
case you think that this is all some 5D chess maneuver, guys,
[chuckles] don't worry. Trump, who introduced the mRNA, approved
Operation Warp Speed to warp-speed those jabs right into your
arms.
He's really against these things, guys.
No, he is not...
"Bill
Gates on Trump meeting - 'Frankly, I was impressed.'" From
January 17th of this year:
Billionaire, philanthropist, and
Microsoft co-founder
Bill Gates reflected on a recent dinner
he had with President-elect Trump in an interview with The
Wall Street Journal, saying he was impressed by the former
President.
And during the dinner, Trump reportedly got
pretty excited as they discussed the potential development
of a cure for HIV and polio mitigation efforts.
He, in the COVID days, accelerated the vaccine innovation, Gates said.
So I was asking him if maybe the same kind of thing could be
done here.
And we both got, I think, pretty excited about
that.
Yay, guys.
AI-engineered mRNA vaccines coming right up.
Courtesy of Trump's good buddies, like Larry Ellison. Yes, the
same Larry "Don't
worry, guys. AI will be surveilling you in the bathroom, so
policing will improve" Ellison.
Yeah, that Larry
Ellison. Look it up. True story, in case you haven't seen that
clip.
But let's not dwell on the ancient past of
2024 and things Larry Ellison was saying then about what AI
would do and how it would transform government then.
No, we can go much more recent than that -
specifically 2025, February of 2025, when he appeared at the
World Government Summit.
Yes, the same World Government Summit
that Elon Musk, co-President Elon Musk, appeared at
to talk about how he was "White House tech support!" - AI-first
tech support - for transforming the US government into an
algocracy.
Well, Larry Ellison was there, too, and he
was being interviewed by Tony (b)liar. Yes, good ole ex-Prime
Minister Tony Blair, emanating his evil energy from the World
Government Summit stage.
And they were talking about the wonderful
ways that AI can transform government as long as governments
around the world just feed all of its citizens' data into the AI
beast.
TONY
BLAIR: Tell us a bit about what - because you're
right at the forefront of this revolution - what it means
for what government should do in terms of its digital
infrastructure - you know, digital ID data centers and
so on.
LARRY
ELLISON: In other words, okay, if AI is really this
great, how do I take advantage of it? Because the impacts
are enormous. And it's very interesting, because almost no
one is talking about that.
Everyone is talking about - and I will
answer the question in just a second - everyone's talking
about these fantastic NVIDIA chips that allow us to build
these huge AI models. Oracle's building a 2.2-gigawatt data
center.
[It] costs between $50 billion and soon $100 billion
dollars to build these data centers and train these models.
Because these models are so expensive,
you won't build your own, as a rule. There'll be a handful
of these models. The question is: How do you take advantage
of these incredible AI models?
And the first thing a country needs to do
is to unify all of their data so it can be consumed and used
by the AI model. Everyone talks about the AI model - and
they are astonishing.
But how do you provide a context? I want
to ask questions about my country. What's going on
in my country?
What's happening to my farmers?
I need to give it my climate data. Now, it probably
has your climate data already.
But I need to know exactly what crops are
growing and which farms to predict the output. So I have to
take satellite images. I have to take those satellite images
for my country and feed that into a database that is
accessible by the AI model.
So, basically, I have to tell the AI
model as much about my country as I can. You tell part of
the story with these satellite models. You give it a huge
amount of information. You tell it where roads are, where
borders are, where your utilities are.
So you need to
provide a map of your country for the farms and all of the
utility infrastructure and your borders. All of that you
have to provide.
But beyond that, if you want to improve
population health, you have to take all of your healthcare
data, your diagnostic data, your electronic health records,
your genomic data.
In the Middle East, in the UAE, for
example, they're incredibly rich in data. They have a lot of
population data.
The NHS in the UK has an incredible
amount of population data. But it's fragmented. It's not
easily accessible by these AI models.
We have to take all of this data we have
in our country and move it into a single, if you will,
unified data platform. So, we provide context. When we want
to ask a question, we've provided that AI model with all the
data they need to understand our country.
That's the big step. That's kind of the
missing link.
We need to unify all of the national data, put
it into a database where it's easily consumable by the AI
model, and then ask whatever question you like.
SOURCE: Reimagining
Technology for Government: A Conversation with Larry Ellison
and Tony Blair
There we go.
Trump's best buddy, Larry
Ellison, talking about the ways that AI will be wonderful and
transform government as long as it can snarf up every piece of
data that any government has on its citizens, its country, its
technology, its infrastructure - everything.
Just put
it all into the AI beast, and then you can ask it anything! And
it will tell you the answers and tell you what to cut and tell
you what to do.
Algocracy. Wonderful thing...
Alright,
What does this look like, then?
Once
we feed all of this data into the maw of the AI behemoth that is
being erected before our very eyes, what will be done with that
data?
What can be done?
How can we make the world a better place
through the loving embrace of this technology?
Well, I don't know.
How about, let's imagine some sci-fi fantasy
world, where you have, of course, video surveillance cameras up
everywhere.
And, of course, they can be
connected quite easily to an AI algorithm that could scan every
single person, keep track of them and their whereabouts, who
they are, all of their details, financial and otherwise, in real
time, so that if they so much as jaywalk, so much as step across
the street in an unprescribed area, the facial recognition
system will be able to automatically detect that and to detect
who they are, identify them, find them, and then in real time go
into their bank account and take those funds out so that by the
time they finish crossing the street, the funds are already
gone.
They've already been fined.
I know, that's sci-fi dystopian nonsense -
that Big Brother 1984 stuff. You know, that's not really happening
in reality, right?
No, wrong.
It's not only already happening, it's been
happening for the better part of a decade.
ASHLEE
VANCE: Well, you jaywalked and you had facial
recognition?
FREDERICK BRAVEY: I actually got this. So, I was
jaywalking in Nanxian, and all of a sudden I got a fine to
my WeChat.
JAMIE
SALTER: Was it instant?
BRAVEY:
It was about 20 seconds after, I guess. I had money in my
balance, and it just went straight out. And this is the most
incredible thing. It just came straight out.
SALTER: Didn't
even authorize it.
ANANT
PATHAK: That's crazy.
VANCE:
It's true. Try to jaywalk in certain parts of Shenzhen, and
the government's facial recognition will spot you. There's
even a board of shame showing the faces of recent offenders.
MIKE
REED: I'm surprised and very, very worried that
they have your face in the facial recognition system.
BRAVEY:
But they have everyone's, though. I mean, when you go across
the border, they take that picture. Yeah, exactly. Yeah, so
it's all in the system. They know where you are.
REED:
That's scary.
SOURCE: Inside
China's High-Tech Dystopia
Oh, OK, yeah, it has already been happening
for years now. But, you know, that's in China.
I mean, of course
the Chicoms are going to be doing that kind of stuff. But in the
land of the free, wherever you happen to think that might be -
in the land of the free, they can't do that.
A government can't
just arbitrarily swoop in and decide to confiscate people's bank
funds, right?
Oh, right. The
Canadian truckers. Alright. Well, yeah, OK. I mean, I guess
it can happen.
But that was a big rigmarole, a big legal thing -
Emergency Powers Act, and they had to go to the banks themselves
and coordinate this massive effort and use regulatory powers and
all this sort of stuff. I mean, they couldn't just reach into
the bank account and just scoop the funds out.
I mean, that
would be crazy.
Can you imagine if there was someone - say,
some technocratic billionaire oligarch who happens to be the
co-President of the United States right now - who had the means,
motive, and opportunity to create some sort of Everything app, a
WeChat for America and the rest of the world, which will combine
all aspects of your digital identity and persona, exactly as
Klaus Schwab was saying is going to happen in the Fourth
Industrial Revolution.
All of your data:
your digital ID, your
finance data, your social media history, who you talk to, where
you go - all of that together in one convenient little app.
But thankfully, we don't have to worry about
that, right?
INTERVIEWER: [The] possibility of Twitter becoming
kind of a super app with payments included, perhaps even
DOGE or something - this seems to me, based on your work
with David at PayPal, a pretty brilliant idea.
What's the
vision there in terms of - if you were able to buy it,
perhaps at the right price?
What would it look like if I
could @Jason to @ElonMusk 10 bucks or something, if we were
splitting a check or something?
ELON
MUSK: Sure. Well, for those that have used WeChat,
I think WeChat is actually a good model. If you're in China,
you kind of live on WeChat.
It does everything. It's sort of
like Twitter plus PayPal plus a whole bunch of other things
all rolled into one with actually a great interface. It's
really an excellent app.
And we don't have anything like that
outside of China.
So, I think such an app would be really
useful - just the utility of a spam-free thing, where you
can make comments, you can post videos. I think it's
important for content creators to have a revenue share.
Now,
this does not need to be done on Twitter. It could be done
from something that's created from scratch. It could be
something new.
I think this thing needs to exist,
whether it is converting Twitter to be a kind of
all-encompassing app - a digital town square, where
important ideas are debated, maximally trusted and
inclusive.
Where you have a high-trust situation, then
payments, whether it's crypto or fiat, can make a lot of
sense.
We just want something that's incredibly useful and
that people love using. It's either convert Twitter to that
or start something new. Those are the two.
But it does need
to happen somehow.
SOURCE: Elon
Musk on turning Twitter into WeChat
Ah, right. Okay.
WeChat. Check.
Surveillance.
Check.
Taking all our data. Check.
Feeding us AI-generated mRNA
vaccines. Check.
Yuh, it's all slotting into place. Wonderful.
So what happens if you don't like the
direction that things are going? What happens if you were to
dissent against this? What would happen if you were to resist
the coming of the algocracy?
Oh, don't worry.
The algocracy is prepared for that, because,
in case you didn't know, death by algorithm is already a thing,
too.
VOX
NARRATOR: The Israeli Defense Forces' use of AI is
not new.
TAL
MIMRAN: I think that the most famous use of AI by
the IDF is, of course, the Iron Dome, which is a defensive
system that aims to disrupt the threat of missile attacks.
NARRATOR:
This system is partly what defended Israel against Iran's
drone and missile attacks in April 2024.
JOSEPH
GEDEON: The other one is another homegrown weapon
that they have called the SMASH from Smartshooter, which is
an AI precision assault rifle sight that you add on to
handheld weapons. And what it does is it uses advanced
image-processing algorithms to home in on a target, sort of
like an auto-aim in Call of Duty.
NARRATOR:
Another way Israel uses AI is through surveillance of
Palestinians in the occupied territories.
PROF.
LUCY SUCHMAN: Every time they pass through one of
the hundreds of checkpoints, their movements are being
registered. Their facial images and other biometrics are
being matched against a database.
NARRATOR:
But we're now learning more about the AI systems that choose
bombing targets in Gaza from two reports in the Israeli
publications +972 and Local Call.
Gospel is a system that produces bombing
targets for specific buildings and structures in Gaza. It
does this by working in conjunction with other AI tools.
And, like any AI system, the first step is the large-scale
collection of data - in this case, surveillance and
historical data on Palestinians and militant locations in
Gaza.
MIMRAN:
The most famous application would be the Alchemist, which is
a platform that collects data and allows the transfer of
data between different departments, later being transferred
to another platform, which is called the Fire Factory. The
Fire Factory observes the data and categorizes it.
NARRATOR:
The generated targets are generally put into one of four
categories. First, tactical targets, which usually include
armed militant cells, weapons warehouses, launchers, and
militant headquarters. Then, there are underground targets,
primarily tunnels under civilian homes. The third category
includes the family homes of Hamas or Islamic Jihad
operatives. And the last category includes targets that are
not obviously military in nature, particularly residential
and high-rise buildings with dozens of civilians. The IDF
calls these "power targets."
Once the data is organized, it goes
through a third layer called the Gospel.
MIMRAN:
The Gospel creates an output which suggests specific
possible targets, possible munitions, warnings of possible
collateral damage, etc.
NARRATOR:
This system produces targets in Gaza faster than a human
can. And within the first five days of the war, half of all
the targets identified were from the "power targets"
category.
Multiple sources who spoke to +972
reported that the idea behind power targets is to exert
civil pressure on Hamas.
Heba's home was most likely one of
the power targets picked up by the Gospel system.
SOURCE: How
AI tells Israel who to bomb
Yes, the digital infrastructure for the total
lockdown and clampdown on society and every interaction and
transaction within it is already in place.
The digital
infrastructure for tracking down and killing dissenters of that
system is already in place.
I think we need to clarify what we are
talking about here, because I know some people will just get
hung up on the word - on the term "AI."
"There's no such thing as artificial
intelligence."
Great. Wonderful.
However, there are such
things as algorithms that are already being used to target and
kill people here in the real world. So the angels dancing on a
head of a pin conversation is no doubt fascinating, but it is
completely irrelevant to the algocracy that is already here and
is ramping up as we speak.
And as mind-boggling as it can be to
contemplate after what we have already seen, it gets even worse.
This goes to an even darker place.
What could be worse than the algorithmic
targeting and killing of human beings? "Well, the algorithm told
me to drop the bomb there, so that's what I did." What could be
worse than that?
Well, unfortunately, all of this AI apparatus... machinery... infrastructure isn't just about efficiency.
Government efficiency - as in, better efficiency in targeting,
tracking down, and killing dissenters, let alone everything else
that government does.
No, it turns out that whoever is wearing the
ring of power of algocracy, the algorithmic power, ultimately
has the power not only to shape who you are individually, but
ultimately to shape the direction of humanity as a whole.
Do not take this from crazy whacked-out
conspiracy realist James Corbett sitting there in Japan. What
does he know?
No, no, no, no.
Take it from your new algorithmic overlords:
the deep state-created globalist insider organization known as
Google.
PRESENTER: Initially, the notion of a goal-oriented
ledger may be user-driven. As an organization, Google would
be responsible for offering suitable targets for a user's
ledger.
Whilst the notion of a global good is problematic,
topics would likely focus on health or environmental impact
to reflect Google's values as an organization.
Once the user
selects a volition for their ledger, every interaction may
be compared to a series of parallel options. If one of these
options allows the ledger to move closer to its goal, it
will be offered up to the user.
Over time, by selecting
these options, the user's behaviour may be modified and the
ledger moves closer to its target.
As this line of thinking accelerates and
the notion of a goal-driven ledger becomes more palatable,
suggestions may be converted not by the user but by the
ledger itself. In this case, the ledger is missing a key
data source, which it requires in order to better understand
this user.
In order to plug the gap in its knowledge, the
ledger begins searching for a device which delivers the
required data when used. From this list, the ledger begins
sorting the options most likely to appeal to the user in
question.
In situations where no suitable product
is found, the ledger may investigate a bespoke solution.
By analysing historical data, it is increasingly possible to
discern qualitative information such as taste and aesthetic
sensibility, which may be used in the creation of a design
proposal.
With the advent of technologies such as
CNC milling and the emergent possibilities of 3D printing, a
custom object may be created to trigger this user's
interest. In this way, the ledger is able to plug gaps in
its knowledge and refine its model of human behavior.
User data has the capability to survive
beyond the limits of our biological selves, in much the same
way as genetic code is released and propagated in nature.
By
considering this data through a Lamarckian lens, the
codified experiences within the ledger become an
accumulation of behavioural knowledge throughout the life of
an individual.
By thinking of user data as
multi-generational, it becomes possible for emerging users
to benefit from the preceding generation's behaviors and
decisions.
As new users enter an ecosystem, they begin to
create their own trail of data.
By comparing this emergent ledger with
the mass of historical user data, it becomes possible to
make increasingly accurate predictions about decisions and
future behaviors.
As cycles of collection and comparison
extend, it may be possible to develop a species-level
understanding of complex issues such as depression, health,
and poverty.
Our ability to interpret user data,
combined with the exponential growth in sensor-enabled
objects, will result in an increasingly detailed account of
who we are as people.
As these streams of information are
brought together, the effect is multiplied, new patterns
become apparent, and new predictions become possible.
Since the 1970s, huge efforts have been
made in sequencing the human genome. Today, after many years
of research and billions of data points, that sequence is
known.
By adopting a similar perspective with
user data, we may begin to better understand its role. Just
as the examination of protein structures paved the way to
genetic sequencing, the mass multi-generational examination
of actions and results could introduce a model of behavioral
sequencing.
As gene sequencing yields a comprehensive
map of human biology, researchers are increasingly able to
target parts of the sequence and modify them in order to
achieve a desired result.
As patterns begin to emerge in the
behavioral sequences, they too may be targeted. The ledger
could be given a focus, shifting it from a system which not
only tracks our behavior, but offers direction towards a
desired result.
We are at the very beginning of our
journey of understanding in the field of user data.
By
applying our knowledge of epigenetics, inheritance and
memetics to this field, we may be able to make mental leaps
in our understanding, which could offer benefits to this
generation, to future generations and the species as a
whole.
SOURCE: The
Selfish Ledger
I sincerely hope that people understand the
gravity of what is being put out there.
And, by the way, that
video is nearly a decade old now. But there it is, from the
horse's mouth itself, the plan for the engineering of humanity.
The things that such algorithmic control
would be capable of we are barely capable of understanding - of
grasping the significance of. I mean, creating bespoke products,
so that you would be more likely to buy it in order to feed the
algorithm the type of data that it wants, based on its
preferences for you and your life.
Things get very, very dark very quickly.
Because... don't worry guys, it's for the good of humanity, as
determined by... let me check my notes - oh, right, Larry
Ellison, Elon Musk [and] any of these other technocratic
overlords or the people pulling their strings.
This is a game for all the marbles, and I
trust that if you have followed me through all these twists and
turns. And more than that. More than simply followed. Actually
gone through this information for yourself, followed the links
back that will all be there at corbettreport.com/algocracy.
All of this information is there for you to check, to vet, to
verify, to see for yourself where things are going.
I trust that once you do so and you realize I
am not lying to you - that this information is all out there and
it does add up to this coming new governing paradigm for the new
New World Order that we're goose-stepping into, you will
understand the severity of this situation.
But that's only half the battle, maybe not
even that. Because, as always, the real operative question is:
What do we do about this?
What do we do with this information?
And, unfortunately, I am not going to provide
you with a simple three-step solution to all these problems in
the next 10 minutes.
No, unfortunately, I don't think it's going
to work like that.
Now, I suppose there is the simplest
solution. Just ditch all technology whatsoever. Just don't feed
the algorithms any information. Just go completely off-grid. And
if you can accomplish that and thrive, good on you. I certainly
wouldn't dissuade you from that.
However, I can't persuade even fellow people
in the independent media not to use Twitter. So I think the idea
of completely ditching our digital lives is probably not going
to happen en masse or even on an individual basis anytime soon.
We are heading into this digital dystopia one
way or another. So, what do we do about it?
I am all ears for suggestions.
And believe
you me, if there are good suggestions, please, Corporate Report
members, leave your ideas in the comment section. Exactly what
to do about this problem, how to solve this problem.
You better believe I will do #SolutionsWatch
galore on this issue if there are good ideas. I'm afraid I don't
see many good options at the moment, other than, of course,
trying to starve the beast in every way possible.
But one thing I do know is that we cannot
possibly even start to combat an agenda that we can't name, that
we can't identify, that we can't put our finger on and say,
"Look, this is what is happening."
And that's why today, at the very, very
least, I hope that I have put on the plate a new term that we
can understand and that we can use to explain what is happening
to other people.
