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by Brian Shilhavy
Editor, Health Impact News

I have been reporting on the upcoming collapse of the U.S. financial system due to the Artificial Intelligence (AI) bubble that started at the end of 2022, for a while now. “AI”, of course, has been around for over 75 years with $billions wasted in investing in science fiction. See:

The 75-Year History of Failures with “Artificial Intelligence” and $BILLIONS Lost Investing in Science Fiction for the Real World

But when we read about “AI” today, it is mostly about only one form of AI, the Large Language Models (LLMs) that produced ChatGPT and other such applications that were released at the end of 2022.

And while some of Silicon Valley’s largest banks did collapse in the first quarter of 2023, the entire U.S. economy has not, yet.

So while my timing may have been off since 2023, as we head into the last couple of weeks of the first quarter of 2025, more and more people are starting to wake up to the fact that this “new” AI is not delivering on its promises, and as the AI financial bubble continues to grow, it means that the inevitable crash that is to come will be much more devastating as well.

I have earned my living from technology for over 25 years now, and keep a close eye on the technology news in my daily news feeds.

So here are some recent news articles about the failures of this “new” AI that perhaps you did not see, as most of the Alternative Media continue to feed into this over-blown AI hype by publishing science fiction “news” as fact, and using fear to proclaim that the technology is going to replace humans, or become merged with humans to create “trans-humans”.

So let’s move away from the hype and fear, and see what is actually happening in the real world today with this technology, and just how close we are to a total financial collapse.

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Apple Computers, which just a couple of years ago was the largest technology firm in the world in terms of revenue, has gambled with huge investments into the new AI technology, and is now suffering for it.

Apple now faces a problem far bigger than tariffs or weak iPhone sales

After Apple Inc. recently delayed advanced Siri features, analysts mused that the new timeline could have some impact on iPhone sales. After all, customers may hold out on upgrades until the new technology is available.

But Apple may face a problem bigger than that — or bigger than any of its other oft-discussed challenges, such as tariffs or a spending slowdown. That was evidenced by a recent blog post from John Gruber, a prominent chronicler of Apple’s endeavors for more than two decades, and someone often seen as a fan of the consumer-electronics powerhouse.

Gruber, who writes the respected Daring Fireball blog, didn’t mince words in arguing that Apple has damaged its credibility by teasing new artificial-intelligence capabilities that were far from ready for primetime.

“Damaged is arguably too passive,” Gruber wrote in a Wednesday post.

“It was squandered. This didn’t happen to Apple. Decision makers within the company did it.”

Apple first began talking up its Apple Intelligence AI features at its WWDC developer event last June, promising a more contextual version of the Siri voice assistant. For instance, a friend could text you their address, and you could ask Siri to add that address to the friend’s contact, and Siri would know what you meant. The company talked up the Siri enhancements further when rolling out the new iPhone lineup in September.

Then Apple touted the features through its advertising, including with a commercial showing a woman who asked Siri for the name of someone she met with months back at a certain cafe.

“Who decided these features should go in the WWDC keynote, with a promise they’d arrive in the coming year, when, at the time, they were in such an unfinished state they could not be demoed to the media even in a controlled environment?” Gruber asked in his post.

“Three months later, who decided Apple should double down and advertise these features in a TV commercial, and promote them as a selling point of the iPhone 16 lineup — not just any products, but the very crown jewels of the company and the envy of the entire industry — when those features still remained in such an unfinished or perhaps even downright nonfunctional state that they still could not be demoed to the press?”

Full Article.

I believed in Apple Intelligence, but Apple let me down

Apple Intelligence is a fever dream

Apple is my bread and butter. I saved up for ages as a kid to buy my first MacBook, I invested all my time as a teenager learning all there was to know about the iPhone, and I started working at the Genius Bar in my local Apple Store as a young adult.

When I got my “big break” in journalism I was thrilled to finally be able to merge my passion for tech and knowledge for Apple with my talent for writing. After working for a few years at iMore, an Apple-enthusiast site, I moved to TechRadar to cover AI, ready to take on a new challenge that I thought would, yet again, be shaped by some kind of Apple-infused impact: Apple Intelligence.

Fast forward to now, I’ve been part of the Apple Intelligence journey since day one, covering all the major AI announcements at WWDC 2024 and using Apple’s take on “AI for the rest of us.” since its very early beta days.

The thing is, the more we fast forward through the first year of Apple advertising AI as the headline feature in all its hero products, the more the cracks have begun to show, and there’s no more damning visual than Apple’s need to push back (with no timeframe) the key to Apple Intelligence’s success, Siri.

You see, I’ve championed Apple Intelligence for months. Not so much because of its “intelligence” but because I have full belief in Apple’s ability to do something the right way, and based on the company’s track record it would’ve been a safe bet to place.

I’ve been writing about how I believed consumer AI’s success was reliant on Apple Intelligence’s success and if any company in the world could make AI make sense for my nephew and my parents alike then it would be Apple.

Over the last nine months, I’ve tested everything Apple Intelligence has to offer, from features that I’ve used once and not touched since like Writing Tools to the more endearing options like Genmoji.

When it launched I said “Apple is onto something with Genmoji, and it might just be the best Apple Intelligence feature, ready to expose other AI tools to the average customer” to this day I use the AI tool whenever regular emojis just don’t fit the situation.

But let’s be real, the Genomji, Image Playground features of the world are not needle movers, they are simply nice-to-haves that come in handy whenever you want to cheer up a friend or family member. The Siri showcased at WWDC 2024, on the other hand, is a needle mover, a system seller if you will – that would be if it actually existed.

I’ve been talking with my colleague and TechRadar’s US Managing News Editor, Jacob Krol, about this for months and how I was starting to worry about Apple Intelligence’s prowess considering we hadn’t really seen anything to suggest it was even capable of improving people’s lives in the way Apple would make you believe. (Full article.)

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Are Enterprises Actually Using Reasoning Models?

The excitement around reasoning models like OpenAI’s o1 and DeepSeek’s R1 got me thinking: How much are businesses actually using them?

The answer might be: not as much as you’d think.

When I ask business executives at startups and large firms about their companies’ usage of reasoning models to power their products, a common refrain I’ve heard is that these models, which spend extra time to process (or “think”) about the problem at hand, simply are too slow or costly, especially with customers who expect an answer right away.

For instance, customers of Braintrust, which helps companies like Instacart evaluate artificial intelligence models, only use reasoning models less than 15% of time. (Full article behind paywall)

Why AI Isn’t Giving Salesforce a Boost

Salesforce CEO Marc Benioff last month declared 2025 as the “absolute year of Agentforce,” a product the software company launched last fall to help customers automate customer service and other business functions.

“We’ve never seen products grow at these levels, especially Agentforce,” he said, citing customers such as gym owner Equinox and reservation site OpenTable.

A few minutes later, Chief Financial Officer Amy Weaver gave a more sober view: Weaver said that she expects “modest” sales of Agentforce over the next year and that the company’s overall sales would rise 7% to 8%, its slowest ever growth rate.

Agentforce seems to be a tough sell. Salesforce is pitching the artificial intelligence product as “digital labor” that can essentially replace humans for tasks such as developing sales leads and creating marketing campaigns. But many customers aren’t ready to commit to using the software, a Salesforce sales manager said.

Some early Agentforce customers, like staffing agency Adecco, have touted the software’s ability to automate certain customer support responses and sort through millions of résumés so it can refer job candidates to recruiters.

Others say they have received incorrect answers—AI hallucinations—while testing how the software handles customer service inquiries, according to a person who does business with Salesforce. Some customers aren’t in a good position to use Agentforce because they need to connect the product to databases stored outside Salesforce to work properly. (Full article behind paywall.)

70% of AI Projects Fail – Here’s Why

AI isn’t magic. But you wouldn’t know that from the way companies throw money at it.

Reality check:

70% of AI projects never deliver real impact. They stall, underperform, or quietly get shelved.

Why? Because businesses make one fundamental mistake:

They treat AI like a tech project instead of a business transformation. (Full article.)

Then there is Tesla, and all of Elon Musk’s false promises about what Tesla will be able to do in the future. Investors have been confused over the past couple of years, and have wondered if they were investing in an EV company, or in an AI company that will also be producing $35,000 personal robots, which Musk is promising.

Here’s what the sales of Tesla stock look like for the past 3 months through today:

After a quick rise in stock just after the elections in Nov. 2024, Tesla has been dropping in sales so quickly, that Elon’s sales team at Tesla wrote a script and gave it to Trump to advertise the company by promising to buy a Tesla to be used at the White House.

But not even that is helping, as there are now daily protests at Tesla dealerships, due primarily to Musk’s political activities.

It is not only Musk’s political position that is sinking Tesla, however, as both China and other auto makers are now making EVs cheaper, and better, than Tesla.

One of the cost-cutting decisions Tesla has made when it comes to their Autopilot feature, is to use only cameras with its AI, while many other EV companies are using a mix of sensors (cameras, radar, lidar, and ultrasonic).

Tesla Autopilot drives into Wile E Coyote fake road wall in camera vs lidar test

Tesla Autopilot drove into Wile E. Coyote-style fake road wall in the middle of the road in a camera versus lidar test.

While most companies developing self-driving technologies have been using a mix of sensors (cameras, radar, lidar, and ultrasonic), Tesla insists on only using cameras.

The automaker removed radars from its vehicle lineup and even deactivated radars already installed in existing vehicles.

The strategy has yet to pay off as Tesla’s systems are still stuck at level 2 driver assist systems.

CEO Elon Musk claims that Tesla’s advantage is that once it solves autonomy, it will be able to scale faster than competitors because its vision plus neural net system is designed to work like a human driver and, therefore, will be able to adapt to any road.

Critics have pushed back against those claims, especially since Musk mentioned Tesla achieving “level 5 autonomy”, which means “in any conditions,” and cameras have limitations on that front that are fixed by lidar sensors.

A new video by engineering Youtuber Mark Rober has provided a very interesting demonstration of that very problem. (Full article.)

Watch this video (you can fast forward through the Disney stuff) which compares the Tesla with another vehicle that uses lidar, and how Tesla failed miserably, running over and “killing” the crash dummy several times, while the other car did not.

This is an amazing video, because there is NO hype here – just real world tests and results.

No wonder Musk is trying to eliminate the National Transportation Safety Board (NTSB) that has been investigating Tesla because there have been so many accidents with Teslas!

See also:

Weaponizing Tesla Cars? Tesla Cars are Death Traps!

When Microsoft introduced the first LLM AI program, ChatGPT, in November of 2022, it quickly became the most downloaded app of all time, because it was so “cool” and “fun” to use.

Its “success” with so many people using it all at once, led to an investment frenzy that still continues to this day, for the most part.

It has basically created its own market with a “circular money flow”.

The first investment was into the microprocessing chips needed to generate all this code, which made Nvidia, a company that was already manufacturing high-speed chips for the gaming industry, into an overnight success and is now one of the largest Tech companies on Wall Street.

After this came the “data center” boom, to house all of these computers. And now, $billions are being invested into power generation to power all of these data centers. There is also now a shortage of electricians to work at all of these data centers that are being built.

But at some point, the merry-go-round will stop, and there will need to be products and services that can be purchased to get a return on all this investment.

Martin Peers, writing for The Information, addressed this recently.

If you want a sense of the risks that lurk in the great AI-data center investment boom now underway, check out our scoop today about Nvidia’s relationship with CoreWeave, the upstart cloud computing firm planning to go public in a couple of weeks.

The story reveals that Nvidia, beyond both investing in CoreWeave and selling chips to it, also agreed two years ago to spend $1.3 billion over several years renting those chips from CoreWeave. That arrangement gave CoreWeave’s business an invaluable early boost, paving the way for further business deals it is riding toward the IPO.

But if the circular arrangement makes you scratch your head, consider this: It’s just one example of several in the AI world where money has traveled in a circle, making the AI business seem bigger than it actually is.

At least part of Microsoft’s $13 billion investment in OpenAI went back to the software giant in the form of OpenAI’s spending on Microsoft’s Azure cloud service. Both Amazon and Google have invested billions in Anthropic, which turned around and spent at least part of that money on their cloud services.

These kinds of arrangements are a win-win for the companies—burnishing the valuations of the startups as well as the AI revenues of the cloud providers—but less so for investors.

Microsoft, Amazon and Google have all talked up their fast-growing AI revenues, without explaining that some of it is essentially captive spending by startups they partly own.

As for Nvidia’s arrangement with CoreWeave, the AI chip designer clearly wants to have CoreWeave as a backup customer in case the big cloud firms shift away from buying Nvidia’s chips in favor of their own.

AI’s money-go-around will come to an end eventually, hastened by expanding data center capacity throughout the industry. (Source behind paywall.)

Peers earns his living as a journalist in the Tech field, so he cannot be as apocalyptic as I am, since there is still too much money flowing through the system and it hasn’t all come crashing down, yet.

But the writing is on the wall for anyone who cares to look at the data with no prejudices, and no financial stakes that could cloud one’s judgment.

For one thing, China has caught up and now surpassed the U.S. on AI technology, and many other technologies, by building better products for less cost. Their current top AI LLM product is actually being given away, for free! See:

China Now Dominates the U.S. in 57 of 64 Critical Technologies as U.S. Stands on the Brink of Economic Collapse with the AI Bubble

So how are American Big Tech companies going to recoup all the $billions they have spent on this LLM AI technology for the past two years?

They won’t be able to.

Oh, Trump is trying, by using tariffs against China and trying to buy up land rich with mineral resources (think Canada, Greenland, and Ukraine) so that the U.S. won’t be so dependent on these same mineral resources that we primarily purchase from China now, and which are needed to manufacture computer chips and other technology.

But it is too little and too late. The AI bubble MUST burst. And when it does, we will all suffer.

And I am not even dealing with how fragile all of this technology is in this article, as it all depends on being connected to the Internet, which is anything BUT stable. Just last week the Visa-Mastercard credit card processing system was attacked and went offline for a while, and so was Musk’s X platform, which was attacked by hackers.

The Cyber Pandemic is REAL, and we have not yet seen it in full force, as it is probably still developing its “viruses” in a lab which will soon be unleashed on the world, unlike the fake “virus” of COVID which doesn’t even exist and therefore could never have been developed in a lab.

But computer “viruses” are very real, and with war breaking out in the Middle East, I suspect we will soon see some of these latest computer viruses and just what they can do, including potentially crippling our military operations.

Americans have no idea how addicted they are to cheap technology that has been developed and produced by slave labor for many years now, and how much their lives are about to change when that technology is no longer reliable or available anymore at costs most Americans are used to.

And I am talking about existing technology, not the science fiction technology that is over-hyped and that will never make it into the market, because it is not real to begin with.

It is the faith in this technology and in the future that will be the downfall of the U.S., and will affect everyone around the world as well when the economy comes crashing down.

For all can see that wise men die; the foolish and the senseless alike perish and leave their wealth to others. Their tombs will remain their houses forever, their dwellings for endless generations, though they had named lands after themselves.

But man, despite his riches, does not endure; he is like the beasts that perish. This is the fate of those who trust in themselves, and of their followers, who approve their sayings. (Psalms 49:10-13)

This article was written by Human Superior Intelligence (HSI)

See Also:

Understand the Times We are Currently Living Through

The Five Child Trafficking Networks as Revealed by a Woman Who was Chosen to Succeed the “Queen Mother of Darkness” but was Rescued by Jesus Christ

The Bewitching of America with the Evil Eye and the Mark of the Beast

Distinguishing True Prophets from False Prophets in These Evil Modern Times

Who Controls the World? by Dr. A. True Ott

Exposing the Christian Zionism Cult

Insider Exposes Freemasonry as the World’s Oldest Secret Religion and the Luciferian Plans for The New World Order

Identifying the Luciferian Globalists Implementing the New World Order – Who are the “Jews”?

The Brain Myth: Your Intellect and Thoughts Originate in Your Heart, Not Your Brain

Fact Check: “Christianity” and the Christian Religion is NOT Found in the Bible – The Person Jesus Christ Is

Was the U.S. Constitution Written to Protect “We the People” or “We the Globalists”? Were the Founding Fathers Godly Men or Servants of Satan?