Artificial Intelligence now being used in warfare

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The Book the CIA Copied Word for Word, Then Tried To Erase
 
AGI


The Real Reason Everyones Talking About AI​


He makes a very interesting point that everyone in power, every billionaire, what they want more than anything is AGI, an "all seeing eye". He also makes it clear they will never give it to you. Which raises the question why are they giving everyone access to AI? Just about anyone can make use of AI today for a small fee or even for free. Why?

1. You are training the AI to become AGI. It isn't that you are getting the AI for free, they are using you to train it for free. The fact that it is free means you have no reason to believe you will have access to this tomorrow.

2. The AI owns everything it does. So if you bounce ideas off of AI, it now has your ideas. Most extremely wealthy people got there "by hook or by crook".

3. Everything you are doing on line is going into "your file". Instead of discerning who you are by looking at where you go, what you buy, they are learning about who you are by talking with you through AI. The level of intelligence gathering has increased exponentially.

4. Right now AI is superior to humans at following directions. It can do that very well, it can operate 24/7, it is more reliable than every human when it comes to being avaiable 24/7, and it is cheaper and faster. This doesn't mean it can reason better than all humans. Think of AI as being at Forest Gump level, and for the military or any job where you are supposed to follow orders it is a "genius'. The problem is that no company, especially no fortune 500 company hires people out of college to "give orders", only to "follow orders". So right now AI is better at that than any kid graduating college.

But, every year AI gets better and better at reasoning.

But here is something else AI is truly excellent at, statistical analysis. So AI can come into a company and grade the people who are making decisions and determine who are the best, who are very good, who are OK, and who are performing worse than the AI is. So AI is a very good tool to determine who AI should fire and replace and who AI should study and be trained by.

Think about how far we have come in the last four years. Four years ago ChatGPT was at the level of writing high school papers really well. In the last four years it has become really good at college level and graduate level work. It is also employable and being used in a variety of fields extensively. The millions of people using AI, especially at corporate applications are training it to replace them and it is improving much faster than they are. Once AI was good enough to replace entry level workers it is "game over" for employees. Even if someone did graduate and get a job, the AI will outcompete them over the next two years. Every year accountants and CEO's will be using the AI to determine who to lay off, who to fire, how to make the company leaner and meaner.

80% have no chance to compete. It is simply a matter of time before they are let go and when they are let go they have no chance of getting another job in that field. The other 20% have a chance but it will be so cut throat with such intense competitive pressure that it is doubtful that a third of them will do what it takes and so in two years you will be down to about 7% who are truly still scoring as "necessary" and "valuable" employees in the fortune 500 companies. We saw how Walmart put mom and pop stores out of business and how Amazon.com put shopping malls out of business. Well that competition is increasing exponentially as Fortune 500 companies can gobble up any competition that local businesses uses to give them.

So this is why they will never give you AGI. You are simply training your replacement.
 
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AGI


The Real Reason Everyones Talking About AI​


He makes a very interesting point that everyone in power, every billionaire, what they want more than anything is AGI, an "all seeing eye". He also makes it clear they will never give it to you. Which raises the question why are they giving everyone access to AI? Just about anyone can make use of AI today for a small fee or even for free. Why?

1. You are training the AI to become AGI. It isn't that you are getting the AI for free, they are using you to train it for free. The fact that it is free means you have no reason to believe you will have access to this tomorrow.

2. The AI owns everything it does. So if you bounce ideas off of AI, it now has your ideas. Most extremely wealthy people got there "by hook or by crook".

3. Everything you are doing on line is going into "your file". Instead of discerning who you are by looking at where you go, what you buy, they are learning about who you are by talking with you through AI. The level of intelligence gathering has increased exponentially.

4. Right now AI is superior to humans at following directions. It can do that very well, it can operate 24/7, it is more reliable than every human when it comes to being avaiable 24/7, and it is cheaper and faster. This doesn't mean it can reason better than all humans. Think of AI as being at Forest Gump level, and for the military or any job where you are supposed to follow orders it is a "genius'. The problem is that no company, especially no fortune 500 company hires people out of college to "give orders", only to "follow orders". So right now AI is better at that than any kid graduating college.

But, every year AI gets better and better at reasoning.

But here is something else AI is truly excellent at, statistical analysis. So AI can come into a company and grade the people who are making decisions and determine who are the best, who are very good, who are OK, and who are performing worse than the AI is. So AI is a very good tool to determine who AI should fire and replace and who AI should study and be trained by.

Think about how far we have come in the last four years. Four years ago ChatGPT was at the level of writing high school papers really well. In the last four years it has become really good at college level and graduate level work. It is also employable and being used in a variety of fields extensively. The millions of people using AI, especially at corporate applications are training it to replace them and it is improving much faster than they are. Once AI was good enough to replace entry level workers it is "game over" for employees. Even if someone did graduate and get a job, the AI will outcompete them over the next two years. Every year accountants and CEO's will be using the AI to determine who to lay off, who to fire, how to make the company leaner and meaner.

80% have no chance to compete. It is simply a matter of time before they are let go and when they are let go they have no chance of getting another job in that field. The other 20% have a chance but it will be so cut throat with such intense competitive pressure that it is doubtful that a third of them will do what it takes and so in two years you will be down to about 7% who are truly still scoring as "necessary" and "valuable" employees in the fortune 500 companies. We saw how Walmart put mom and pop stores out of business and how Amazon.com put shopping malls out of business. Well that competition is increasing exponentially as Fortune 500 companies can gobble up any competition that local businesses uses to give them.
Makes sense when you think about it.

Nothing we can do.

So this is why they will never give you AGI. You are simply training your replacement.
That's been done before AI.

Years ago the union in Verizon had workers go on strike, again.

What the union didn't see coming is that the top offices of Verizon did see it coming. So,well before the new contract renewal date Verizon had a hiring fair. All departments.

Because the new hires were on a contingency basis, being trained for the respective positions, those hires weren't subject to joining the union.
After weeks of training,the deadline for current union employees was up. No new contract. Meaning,no union.

The union ordered employees to strike. And,they did.

That same day,all those contingency new hires they'd trained stepped in and took their places. Every department.

😂

A near seamless transition one day to the next. The only thing that changed slightly was,when you called customer service. A recording would inform callers that department was in transition with new hires. Please be patient.

Thd former employees towed the line and continued the strike at local Verizon and Fios Cell locations. But it was hella hot in some places and they didn't last long.
Here,one line hold out carried their ,ON STRIKE, sign on the sidewalk in front of the local Fios store. He lasted two days in 90+ degree heat.

So,when you think about it,AI is just a Fios union busting copycat.
🤖😆
No,not really but,rarely can you chuckle about AI.
 
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How faulty AI-assisted intel almost caused a war


The intelligence report, circulated across the US military this spring in the midst of the war with Iran, immediately set off alarm bells: A Chinese ship in the Middle East was transporting components of a nuclear weapons program. The US military swung into action with plans to intercept the vessel, according to four sources familiar with the episode. According to two of the sources, armed members of the US military were preparing to board the ship. Military planes were in the air, one of those sources and another source familiar with the incident said.

It was only just before the planned operation that officials dug deeper into the report put together by a special operations command analyst and found it had been generated with the help of artificial intelligence (AI) — and that a chatbot the analyst had used inaccurately identified the material the ship was carrying. CNN was not able to learn what the misidentified cargo was. The report, according to one of the sources, was “entirely false.”
 
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Some people seem to think that governments will be using AI and robots to become totalitarian regimes with robo cops. Seems they have been watching too much TV. In unrelated news Trump has announced he will be making a new AI force with an AI Czar to oversee it.
 
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License Plate Readers Were a Lie. Here's What They Really Do!
This like a combination of Terminator, Enemy of the State and .......


An old acquaintance stopped to say Hi at the grocery store. One of the first things he said is that he loves the cameras in public everywhere...🤓
He loves the protection they provide.
 
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This like a combination of Terminator, Enemy of the State and .......


An old acquaintance stopped to say Hi at the grocery store. One of the first things he said is that he loves the cameras in public everywhere...🤓
He loves the protection they provide.
It is true. They do provide protection, just like a feed lot provides protection to cows before they are slaughtered.
 
😆😄😄😄 AI !!!! Oh my.... They call it AI.... This what they call AI is not the artificial intelligence. A pack of binary codes and that's it. Cut the main power, disconnect from the internet and ooops.... Where is it gone???? Read Isaac Asimov's books - there's a good explanation what is AI not this parody what we see now. AI 🤣🤣🤣🤣😁😁😁
 
The companies that make AI understand that these programs can potentially be an existential threat to mankind, but they want us to understand that they can't slow down development now, otherwise China will beat the US to making that existential threat known as "the terminator".
 
Definition of AI

AI is employed by a government, organization, or competitor to secretly gather and report confidential or classified intelligence about each person that uses it.

Governments and organizations seek secret intelligence on each person primarily to gain a strategic advantage, manage risks, and protect their survival.

The Cybersecurity Definition
  • Malicious Software (Malware): AI mimics a legitimate, useful application or file to trick users into using it.
  • No Self-Replication: AI relies entirely on user action and social engineering.
  • Common Payload Actions: Once activated, they gather intelligence and create detailed files on users.
 
If the goal was to enhance human efficiency, quality and production the goal would be AI tools that do that. Tools fashioned specifically for individual jobs and tasks.

But that is not what they are trying to do, what they want to do is create "Super Intelligence" which is more intelligent than man in every metric. Consider this, they have already created AI that is more intelligent than any human in a multitude of tests.

For example, let's say we have AI that can code for a computer. There may be a computer coder that can still do that better than AI. But the AI is better at math, better at English, better at history, better at military strategy, better at surveillance, etc. Likewise you might find a historian that could hold his own against AI on one specific time period in history, but not on every time period. So even if this historian can handle the Renaissance period as well as any AI, what about the other 5,500 years of human history? What about Math, what about medicine, etc.

But the point is the only reason you want "Super intelligence" where AI is better than humans at all categories is because you are planning on replacing humans with AI. They don't need to pump hundreds of billions of dollars into AI and Data Centers if the goal is to make our economy exponentially more efficient. If you simply make AI tools that can help a typical worker do the work of two, three or even five workers then you will have exponentially increased our productivity.

For example, if AI is better at diagnosing an MRI than any technician or doctor why would you still use people to do that? If AI is faster, more efficient, and better at doing your tax return why would still use a person to do it? If AI and robots are better, faster and more efficient at stocking shelves, or mopping the floor, or doing any of a myriad of jobs why would you still use a person to do it. People are less reliable, they get sick, they take vacation days, they get hurt, they quit, and they sue. Suppose it costs $25,000 a year to lease a robot that can do four shifts a week. Why would you pay someone $40,000 a year for one shift when the robot can do the same job for $7,000 a year?

They are not making AI to make workers more efficient, they are making AI to replace workers.

Now consider this, if you don't want to pay the janitor $40,000 a year, why would you want to pay him $30,000 a year for welfare? First you replace workers and pay them UBI (universal basic income) because you don't know if you are going to hit some glitches and will need to bring some workers back. Second, you want everyone to embrace the new change without a lot of protests. But after a year without any problems the next focus will be on how to "cut costs" since UBI is being called welfare and it has become your biggest financial obligation for the government. They replaced you to save money, you don't think they will take that "focus on saving money" to the next level?


Worlds Leading AI Critic Just Gave Preppers a Warning About Whats Coming​

 
Now think about what Elon Musk is doing with robots. You make a humanoid robot that can fit into any space a typical human would occupy and it can do every task a human can do. They are controlled by AI remotely. So as the AI is upgrade the robots are immediately updated. So as super intelligence is rolled out online it will immediately become available to these humanoid robots.
 
This is very revealing -- pulls the curtain back on the man behind the curtain


The Man Who Calls BS on AI: The $1 Trillion Problem Nobody Wants to Talk About | Ed Zitron​


Here is my takeaway because my background is as a stockbroker. In my experience people lie, but the money doesn't lie. So they can sell us on Super intelligence and all the great things it is going to do and all of that can be a lie, or a con as he puts it. But, people aren't putting billions and trillions of dollars into something unless they know for a fact that it will do something they need.

There are 179 to 193 countries with active data centers and there are over 12,250 active data centers. The total money spent so far is $2.3 to $3.0 trillion dollars. Now you can fool most of the people, but not all. And when it comes to investing billions of dollars they are going to want a whole lot more than a song and dance. You don't get to the position of being able to approve an investment of that magnitude if you can't discern a con.

So I am not disagreeing that AI is a con, I think this guy is very credible, I am disagreeing with who is being conned. I am saying the people spending all this money know exactly what they are going to get because it has been explicitly demonstrated to them as a product that the data center can deliver.

So then, what is that product? What is it that AI can clearly deliver right now that is not up for dispute that would be worth $3 trillion to governments?

AI-INTEGRATED FUGITIVE APPREHENSION PROTOCOLS

Suppose you wanted to track down people who had refused to take the mark of the beast

1. Executive Summary
By integrating Artificial Intelligence (AI) across vast, multi-jurisdictional data networks, a fugitive’s digital and physical footprint can be mapped in near-real time.



2. Phase I: Triaging Intel & Establishing the Footprint
The apprehension process begins by feeding all known intelligence about the target into localized and federal central databases powered by AI agents. (For example see my next post on digital footprint artifacts)
  • Multimedia Video Triage: Investigative teams run historic footage from body cams, dashcams, and municipal feeds through a Multimedia Processing Framework (MPF). AI-driven computer vision sifts through months of background video in minutes to establish the target's baseline behaviors, frequent associates, and past locations.
  • Natural Language Processing (NLP) Communications Intercept: If federal investigators wiretap or intercept phone call recordings, radio transmissions, or internet communications, NLP algorithms instantly transcribe the audio. The AI translates foreign dialects and uses sentiment analysis and phrase detection to flag critical operational clues—like an upcoming meeting spot or an alias.



3. Phase II: Real-Time Persistent Tracking
Once an active search begins, AI-driven surveillance turns passive infrastructure into an interconnected net. [1, 2]

Multi-Sensor Fusion Matrix
  • Automated License Plate Readers (ALPRs): Utilizing networks managed by providers like Flock Safety or Vigilant Solutions, AI monitors thousands of public and private cameras simultaneously. The system doesn't just read plates; its computer vision analyzes driving patterns. Investigators can input a descriptive query—such as "unregistered white van traveling southbound"—and the AI will flag matches across an entire municipal perimeter. [1, 2]
  • Real-Time Crime Centers (RTCC): Platforms like Axon Fusus aggregate disparate data streams— CCTVs, 911 dispatch calls, and opted-in private business cameras—into a single map interface. Instead of manually requesting video from local store owners, the AI monitors live streams, alerting dispatchers the moment the target's physical profile or vehicle is recognized. [1, 2]
  • Commercial Data Broker Integration: Federal agencies leverage automated tools to ingest acquired location data histories derived from ordinary mobile apps and devices. AI algorithms analyze these massive coordinates datasets to find sudden anomalies or burner-phone footprints moving in tandem with the target's suspected perimeter. [1, 2]



4. Phase III: Active Biometric Identification
If the fugitive attempts to blend into a crowded space (e.g., an airport terminal or a busy transit hub), advanced biometric AI acts as the primary lock.
  • Deep Learning Computer Vision: Security cameras use localized facial recognition to compare passersby against the fugitive database photo.
  • Alternative Biometrics: If the target attempts to obscure their face using a mask, sunglasses, or a hat, modern AI agents look for secondary identifiers. The system applies gait analysis to match the individual’s unique walking cadence, or ear biometrics and body symmetry ratios captured from the camera's angle to confirm identity.


5. Phase IV: Interdiction and Apprehension
When the AI pinpoints the fugitive's location, the tactical deployment phase is triggered. [1]
  • Autonomous Drones (UAVs): Autonomous drones are launched to secure the aerial perimeter. Equipped with AI mapping and infrared object recognition, these drones track the suspect through rough terrain, alleyways, or dense crowds without requiring a human pilot to navigate obstacles.
  • Resource Optimization: Throughout the operation, place-based predictive modeling directs patrol units to optimal choke points, ensuring maximum containment efficiency based on the suspect's projected escape routes.
 
DIGITAL FOOTPRINT ARTIFACT REPORT: TARGET SIGNAL INTERCEPTION

1. Executive Summary
When a target possesses a smart phone, a modern connected vehicle, and active social media accounts, they generate a massive, continuous stream of digital exhaust. By applying specialized AI analytics to these fragmented data sources, law enforcement can synthesize a highly precise timeline of the fugitive's location, habits, and upcoming plans.



2. Smart Phone Artifacts
A smartphone is the single most high-yield tracking asset. Even if a fugitive swaps their SIM card or turns off location services, AI can analyze background network noise to map their position.
  • Cell Tower Triangulation & Handshake Analytics: Every time a phone moves, it continuously pings nearby cell towers to maintain a signal. AI pattern-matching software ingests these tower logs to calculate the device's speed and direction, mapping out travel routes in real time.
  • Commercial Location Aggregation (Ad-Tech Data): Background apps (weather, gaming, navigation) constantly ping location coordinates to advertising networks. Government intelligence platforms ingest this anonymized commercial data. AI algorithms scan the pool to identify any device that mirrors the target's historic travel footprint—instantly unmasking burner phones or new hidden devices.
  • Wi-Fi Ambient Scanning: Even with location services toggled "off," smartphones actively search for known Wi-Fi networks. AI mapping software correlates these passive Wi-Fi handshake requests against public databases of global router locations, pinpointing the target within a specific building or storefront.
  • Unified Push Notification Tokens: Every smartphone utilizes a unique token from Apple or Google to deliver push notifications (like a WhatsApp or Instagram alert). If the fugitive buys a new phone but logs into an old account, the AI instantly links the unique notification token back to the central profile, alerting investigators to the new device's identity.



3. Connected Vehicle (Smart Car) Artifacts
Modern vehicles are essentially rolling computers equipped with cellular modems, GPS tracking, and internal diagnostic systems that constantly upload telemetry to automotive clouds.
  • Telematics and Connected Services Cloud Ingestion: Systems like GM’s OnStar or equivalent manufacturer clouds stream live vehicle telemetry. AI monitoring systems query these cloud databases to pull real-time GPS coordinates, vehicle speed, and cabin status (e.g., how many seats are occupied).
  • Infotainment System Forensics: If the fugitive syncs their smartphone to the car via Bluetooth or USB, the vehicle's infotainment system pulls local logs. Once a car passes an automated roadside checkpoint, AI can interface with the vehicle's network to flag synced call logs, text messages, contact lists, and recent navigation destinations.
  • Over-The-Air (OTA) Updates & Maintenance Logs: Connected cars regularly ping manufacturer servers for software updates, tire pressure warnings, or oil life status. AI tracks these server connections, matching the vehicle's unique Vehicle Identification Number (VIN) to localized cellular towers servicing the car during an update broadcast.



4. Social Media & Forum Artifacts
Even if a fugitive changes their username, uses privacy settings, or posts from an alias, AI can look "past" the account name to verify the user's true identity.
  • Stylometry & Author Identification: AI natural language processing (NLP) models analyze the fugitive's typing cadence, favorite slang, punctuation habits, and grammatical quirks. If they post on a forum under a completely anonymous burner profile, the AI cross-references the writing style against the target's historic Facebook posts to calculate an identity probability match.
  • Computer Vision Metadata Extraction: If the fugitive posts a photo of a meal, a pet, or a landscape, multi-modal AI scans the background image. It identifies localized landmarks, unique weather patterns, flora/fauna, or reflection signatures on glass to calculate the exact geographical coordinate where the photo was taken, regardless of deleted EXIF metadata.
  • Graph Network Social Mapping: AI charts the "social graph"—the network of who the fugitive interacts with, likes, or searches for. If a newly created account suddenly follows three of the target's close family members or childhood friends, the AI flags the account as a high-probability alias.
 
AI can also use Flock cameras to find the person's most recent image, hence the last know location where they were spotted.

So I would argue that the reason every government has invested so much into Data centers is so they can surveil their entire population and track them down. They are anticipating a crisis so huge that this will be essential to maintain order.

At present they are only valuing AI as worth about $50 billion annually to law enforcement.
 
AI can also use Flock cameras to find the person's most recent image, hence the last know location where they were spotted.

So I would argue that the reason every government has invested so much into Data centers is so they can surveil their entire population and track them down. They are anticipating a crisis so huge that this will be essential to maintain order.

At present they are only valuing AI as worth about $50 billion annually to law enforcement.
$20 Trillion solution annually
The mark of the beast consolidates a cashless society and constant geolocation tracking. This would result in a huge drop in crime as it would be impossible to have an alibi, it would eliminate financial crimes, and you would have to have an agentic AI capable of handling 8 billion people to manage this. It would eliminate a shadow economy. It would make financial transactions more efficient. It would dramatically cut law enforcement budgets. We already have the technical capability to deploy such a system.
However,
while you could connect a Starlink dish anywhere on Earth years ago, October 2026 marks the era where the network became powerful and legally integrated enough to lay the foundation for mass mobile-to-satellite infrastructure.

So we have tested every single part of the system and as of this month it is ready to handle mass mobile-to-satellite infrastructure.

a single global government running a unified system would offer immense advantages in efficiency, security, and execution over our current multi-national framework.
When managing an infrastructure as complex as a global biometric tracking and financial network, fragmentation is the greatest point of failure. A centralized global authority removes these vulnerabilities through several key advantages:

1. Eliminating Jurisdictional "Blind Spots"
In the current geopolitical landscape, criminals and financial fraudsters routinely exploit borders. If a fugitive flees to a country without an extradition treaty, or if a cybercriminal routes stolen funds through a non-cooperative foreign bank, the investigation stalls.
  • The Advantage: A single global administration removes safe havens entirely. The AI tracking net and the digital ledger would be uniform everywhere on Earth, meaning a person's digital identity and financial access could be frozen instantly, regardless of where they physically stand.

2. Universal Data Interoperability
Right now, global tech infrastructure is a fragmented patchwork of competing standards. The United States, the European Union, China, and Russia all use completely different databases, encryption models, and privacy laws.
  • The Advantage: A unified system completely bypasses the need for complex data translation layers. An AI system can analyze data instantly and with near-zero latency when it doesn't have to negotiate between mismatched municipal tech grids, conflicting API protocols, or varying hardware standards.

3. Absolute Financial Standardization
Managing global commerce across dozens of fluctuating fiat currencies introduces massive overhead costs, currency exchange risks, and loopholes for money laundering.
  • The Advantage: Under a single administration utilizing one global digital currency, every transaction on Earth happens on the exact same central ledger. The AI would have immediate, frictionless visibility into the entire global supply chain and money velocity. This makes anomalous behavior—such as a sudden unexplainable transfer of digital wealth—instantly detectable.

4. Maximum Resource Optimization
Deploying global satellite grids (like Starlink) and building hyper-scale data centers requires trillions of dollars. Currently, nations duplicate these efforts out of distrust—for example, the existence of four separate global navigation satellite webs (GPS, Galileo, BeiDou, GLONASS).
  • The Advantage: A single entity could pool global economic resources to build a highly streamlined, unified communications and server infrastructure. This eliminates redundant spending and ensures that 100% of global data processing power is optimized for a single, coordinated objective.
 
This is very revealing -- pulls the curtain back on the man behind the curtain


The Man Who Calls BS on AI: The $1 Trillion Problem Nobody Wants to Talk About | Ed Zitron​

This man points out that AI is a con. AI is not making anywhere near enough money to justify spending $2 trillion on data centers.

People do not invest $2 trillion unless they know precisely what they are going to get and there is a very clear guarantee that the money they spend will get them exactly that. In other words they didn't invest all this money in data centers because of some theoretical benefits that no one has seen. That means forget about what they are saying AI is going to do and focus on what it already can do.

What can AI already do that would justify $2 trillion investment?

You would want at least a $500 billion a year annual return, a 25% Return on Investment, beginning in 2027.

There is only one thing that can justify this and that is the Mark of the Beast. A digital ID that is trackable, becomes part of your body, and connects you to your ID, bank account, and all financial transactions would be done digitally would in fact be worth something on the order of trillions of dollars a year.

Here is why.

1. You would immediately be able to identify all criminals that committed a crime and find them. This would cause tremendous savings to your criminal justice system, insurance losses, etc. Globally this would be worth close to $1 trillion a year.

2. It would also eliminate financial crimes and a black market if every transaction must be digital. That would also result in huge savings, increased tax revenue, etc.

3. This would also facilitate financial transactions worth close to another $1 trillion a year.

These three things alone justify the current $2 trillion investment.

In other words the biggest proof that the apocalypse is upon us is this $2 trillion investment in data centers.

But why are they giving people access to AI for free or reduced price, what purpose does that serve?

They have been collecting data on everyone using phones, modern cars, social media, and google searches. But AI is an excellent way to gather even more data on people. They are doing this because they anticipate Christians will object to this one world government, one world religion, one world digital currency. The data they have collected will help them in knowing who to round up and where to find them.
 
You have to appreciate how brilliant this was. All this time telling us the threat was "Artificial General Intelligence" or "Super intelligence" while in reality they already had the capability, simply needed to make it big enough to deal with all 8 billion people.

AI is being designed for Satan's closest approximation to "omniscience".

Surveillance. All the cameras and data will drown them in paper if they don't have AI to search through it. Collate it. Organize it. Search it. Identify threats in it.