Tag: AI Enshitification
Nokia Fallen from grace, Esteemed phone maker to Shovel seller.
Ed note: Gemini almost did it here .. but it is funny what it did with the phones. and two closed signs.
Nokia the maker of legendary phones such as the Nokia N900 and the Nokia 3310 is now peddling shovels for the AI Goldrush and trying to use some legendary logic. AI data centers would be built two times faster if there were not supply chain issues
The tech industry would build data centers twice as fast without the supply constraints they face, the CEO of Nokia told CNBC, underscoring continued demand for AI even as top executives debate slowing down the pace of development.
No shit Sherlock, you can build faster when you have the parts. I feel like this is something else though, I think Nokia realized they were late for the AI party and wishes they could sell some data centers.
“I don’t think you can say in any manner we’re overbuilding today because reality is that if we could build 2x faster, our customers could build 2x faster, they probably would,” Justin Hotard told CNBC’s “The Tech Download” podcast.
The thing is right now with the amount of CAPEX being built out we have no idea of the true capacity that has been built out. You have every company on earth who knows how to turn on a computer building out with data centers and the thing about AI is NO ONE truly knows how much capacity is needed. Because if ChatGPT or Gemini break through with efficiency that saves half of the speed needed these companies are not going to burn through millions of dollars of computing when they can save half.
“So that gives me confidence that we’re still in the early days” of the AI buildout, Hotard added. Shortages of key memory chips and energy are among the supply constraints facing the sector. Nokia, one of the world’s biggest telecommunications equipment makers, has pivoted to become a key player within the AI infrastructure space. It sells the technology required to connect racks of chips within data centers as well as technology that interconnects data centers across different locations.
Hey Hotard go read about 1849 and you will understand that the amount of shovels had no connection to the amount of gold that was dug from the ground. This is just posturing to make it sound like the AI gold rush is still going on. But Mr Hotard should make another n900 for this generation that has AI on board rather than blow more money on AI that we do not know where it will be in a year.
Nokia’s growing role as a “picks and shovels” player in the AI boom appears to have won over investors, with the stock up around 130% over the past year .But there’s been continued debate over whether the industry is building data centers too fast and whether demand will be there to sustain it. Investments in the AI buildout from data centers to chips and related infrastructure will total $10.3 trillion from 2025 to 2032 — an average of 3.63% of U.S. gross domestic product per year, according to research presented at the Brookings Papers on Economic Activity.
The funny thing right now how many companies are overspent on CAPEX build out (all of them) is going to have some horrifying detrimental actions when the bill comes due. Right now are are all focused on Magic Farts and Butterflies of AI on the market and people are buying into it like it is the best thing since the Knife that sliced bread. But sooner or later the bill is going to come due and it will make the school loan debt crisis look like someone was missing school lunch money.
Hotard said that demand for AI is not just predicated on frontier labs like Anthropic and OpenAI releasing new models. “I think the reality is that we’re even where we are today is so early in the deployment, and the power of these models is so massive that there’s a lot of there’s a lot of demand to run in just deploying,” Hotard said. “Even if we didn’t have another frontier model released in the next three years, we could probably make tremendous progress just deploying the technology that’s there today.”
Hotard translation here: “please keep buying out AI shovels and don’t worry we will make sure to bill you triple.
Attributions from:
CNBC – Nokia CEO says data centers would be built ‘2x faster’ without supply constraints
Are the Tailings Ponds About to Burst in the AI Goldrush?
In a sign of the times Anthropic has listed a net loss of 80 BILLION with a b…
Anthropic’s net loss widened sharply to $80.7 billion in the first half of this year, in large part due to a rise in the fair value of bonds convertible into shares of the AI startup, according to a draft prospectus for a planned initial public offering that was reviewed by Reuters.
I have been steadfast in saying AI is a seriously overpriced commodity that has been nothing more than a goldrush. AI is just google search in a trench coat. And that the markets rush to stake a claim in the Gold rush era is much like the 1849 gold rush.
FINANCING COSTS
At an investor meeting on October 14, Anthropic told prospective IPO investors that its third-quarter revenue jumped 45% to $16.8 billion from the previous quarter, Reuters reported, citing people familiar with the matter.
While the figures eased some concerns about the enormous costs of developing AI systems, some investors were disappointed by the slowing sequential growth rate. Revenue had more than doubled from the first quarter to $11.6 billion in the second quarter.
The thing is here is this is only half the numbers, most LLMs have been pushing all CapEx expenditures to a second set of books and it makes these companies look better than they really are. When all of the loans come to be due it is going to be a financial bloodbath because what we are seeing is AI is not ready for the mainstream for constant use. The factor that AI has been a consistent loss leader and companies have no clue how to monetize it in a way that is not going to drive users off they are stuck with negative gains.
A cooler reception for Anthropic’s IPO could weigh on the wider AI market, whose near-term prospects investors see as hinging largely on the share sale’s success, ahead of rival OpenAI’s potential listing next year.
Reuters reported in September that Anthropic posted a net loss of $42 billion in 2025, with most of that stemming from a similar accounting charge. As Anthropic’s valuation climbed, the estimated fair value of those notes tripled year over year.
The thing is, investors they thought they had a slop generating gold shovel paradise and the new car smell of AI is wearing off. While LLMs are trying to say that AI will destroy the world and eat your firstborn and knock up your daughter … The fix still is a power switch in the end.
Attributions from:
reuters – Anthropic logged net loss of over $80 billion in first half of 2026
CoffeeCommander.net – Anthropic says they are profitable as long as you don’t check the inbox for bills.
CoffeeCommander.net – Allbirds Newbird Smartbird AI what’s next flipthebird?
CoffeeCommander.net – Hyperscaler AI Earnings Calls Today .(updated)
Mad AI Disease is getting worse and they know it.
I have written about how AI is paralleling Mad Cow Disease and it is getting worse and OpenAI is proving it.
OpenAI has let go of multiple contractors tasked with reviewing chatbot prompts after finding out they relied on artificial intelligence to complete their assignments. Thousands of contractors check real ChatGPT user inputs to help improve the chatbot’s responses. They are meant to bring a natural human touch to the systems, yet several workers are skipping this step entirely. 404 Media found that multiple contractors hired to improve OpenAI’s models have been fired for using AI to carry out their work.
One of the issues with the current generation of LLMs is finding content that is human-created and not AI slop. Feeding LLMs bad or slop data triggers rapid functional decay. OpenAI hired people to try to stop this digital prion disorder from getting worse; instead, they tried to shortcut the process by using slop to stop AI from generating more slop. Right now, Obi-Wan is pleading with Anakin: ‘You were the Chosen LLM! It was said that you would destroy the slop, not join it! Bring balance to the model, not leave it in darkness!’
AI Trainers Risk Model Collapse
Some AI models can exhibit signs of ‘model collapse’, where systems trained repeatedly on AI-generated data can become increasingly degraded. Research published in Nature has found that indiscriminate use of model-generated content in training can cause models to lose information from the original data distribution.
Model collapse in my opinion is closer than we think. For every major AI maker to join together and say they need to slow down and at the same time to say to the government to stop them, it is a clue that AI makers are not saying what is going on. They need a lifeline and they are working hard to stop the outcome. If you have watched AI it peaked a few months ago and now the AI is getting worse little by little lately. It is missing on OCR, it is slightly off on more things now.
‘Our contracts strictly prohibit the use of LLMs to complete projects and we enforce that. We invest heavily in our tools and systems to detect misuse and ensure our experts comply with project rules and contract terms. When we confirm an expert has used AI to complete a task, we immediately remove them from the project.’
The problem is these AI auditors are stuck, they can’t even fart these days without having some AI close by, If you think about it making a call: AI; requesting chat help: AI; running a Google or Bing search: AI. These people cannot help but to feed the machine and make AI mad cow disease worse.
Attributions from:
Tech Times UK – OpenAI Hires AI Trainers, Then Fires Them for Using AI to Train AI: ‘Getting Paid to Make AI Worse’
Schools: don’t use AI. School: Uses AI. Student: WTF?!
Stanford recently did something with AI that made students question themselves. Stanford Residential & Dining Enterprises took a picture from a student and than used AI to race swap people in the picture.
On his journey to campus, Stanford student Billy Ramirez ’27 was sent an image he recalled a Stanford photographer taking. Upon closer examination, he noticed that he had been removed from the photo and replaced by a AI-generated black woman.
Billy got back to the futured by AI by the school and was removed from the picture he remembered he was in. This is funny because all schools have the mantra of “Do not use AI OR ELSE”.
Ramirez, who stated, “I was driving to school from my hometown when my friend sent me the images comparing the banner to the original photos, and I was immediately baffled. At first, I found it hilarious that they had used AI to completely change our appearances, including my race and gender. But after looking at the comparison, I was also upset because I don’t agree with Stanford making those choices about how we were represented. Seeing my identity changed and being left out of the picture made me feel, in a way, silenced and erased from a representation that was supposed to include me.”
Billy may be White, but according to every standard code of conduct a school operates under, they missed big here.
From the Title VI of the Civil Rights Act of 1964 (race, color, national origin), Title IX (sex), and specific state/university education codes.
Shall not on the basis of race, color, creed, sex, national origin, marital status, political or religious beliefs, family, social or cultural background, or sexual orientation, unfairly–
a:Exclude any student from participation in any program
b:Deny benefits to any student
c:Grant any advantage to any student
As silly as it may be Billy should be going to the title 9 office and making some noise, you do not just take a picture of someone than turn around with AI and race swap him out to a fake human. Stanford has photography classes. They could of pulled any number of real students to take the same photo again and had real people and real race inclusion but no they decided to just swap out Billy and swap in a hallucinated person who never went to Stanford.
Not only were Ramirez’s race and gender changed, but the two students to Ramirez’s right were distorted, making them appear visibly thinner. While this incident is humorous and generated thousands of reactions on Fizz, it offers an unsurprising insight into Stanford’s and its bureaucracy’s persisting ideological and racial preferences.
Stanford might want to tap their law professors at this point; while funny, they are walking into a legal buzzsaw if Billy or the other students object to their likenesses being manipulated.
In all this is the stupidest use of AI when they could have tapped any number of students to take a picture for R&DE and instead decided to blow a few KW of compute time to phase Billy out of this reality and made their own.
Attributions from:
Stanford Edu – Photography class listings
Stanford Review – Stanford R&DE Uses AI to Race Swap Students for Advertising
Wikipedia – Title VI of the Civil Rights Act of 1964
McDonalds introduces dynamic pricing while owner is still dynamically gagging over burger.
The idea of dynamic pricing baffles me. The fact that big corps are trying this to extract more money out of consumers should be illegal. Unless dynamic pricing follows the consumer.
McDonald’s is increasingly using artificial intelligence to guide menu prices across the U.S. and some global markets, a plan that aims to boost headquarters’ profit but risks alienating customers and attracting antitrust scrutiny. One pricing factor supercharged by AI: an estimate of how much each store’s patrons are willing to pay.
Consumers at first will not take this lying down, I have seen dynamic pricing and the fact that this is being done by AI makes it a bit funny. the factor is that AI doesn’t understand why people are buying something. So what happens if a group targets a low priced item on a menu for a few months and then pulls the rug on said product, it would create an AI model in a panic. AI is good at dealing with averages… give it an outlier and it does not know what to do.
The details of how that pricing system works, its extensive use of AI, the company’s regulatory concerns and the tensions with its franchisees haven’t been previously reported. For this story, Reuters reviewed screenshots of the company pricing engine taken in August and interviewed nine sources with first-hand knowledge of the burger chain’s strategy. McDonald’s pricing engine uses machine-learning algorithms to continually analyze data from millions of daily transactions across McDonald’s nearly 14,000 restaurants and generate what the company calls “the optimal price” at each location for each menu item, from Big Macs to discounted coffee for seniors.
They think they are being clever to drive a few pennies of profit out of customers, the problem here is this is McDonalds which already has earned its way into common language as a McJob. Given that if they spite enough customers, they will revolt and it wont be pretty. One post to a website and a bit of patience people can turn an AI profit machine into gaming the system until it crashes.
A Reuters check of prices in September on the McDonald’s mobile app showed price differences. For example, a company-run store in Fresno, California sells a Big Mac for $5.69, but another company-run restaurant two miles away sells the same sandwich for $6.89, a 21% premium.
The other thing right here is again playing with fire. What’s to stop a person from buying from Store A and returning to store B and pocketing the 21% premium. Some frydrone is not going to wait around while someone is trying to fish up a receipt on a still warm meal.
In January, McDonald’s started requiring franchisees to be “constructively engaging with McDonald’s approved Pricing Consultant and Tools” as part of its new business standards, according to an internal communication sent to franchisees and reviewed by Reuters.
As I stated in beginning AI is good to be an average at things, but once you start adding outliers to the model like a stores finance model shows and uptick in cheeseburgers to the point of near absurd and other stores show a drop because people are spiking the model the AI is going to say to increase the price and once that happens suddenly cheeseburger purchases not only drop from the price increase but people manipulating the prices stop screwing with the AI McDonalds corporate is going to panic because the AI modeling of the price is showing to be failing. In all honesty to guide a model like this it would not take very many extra purchases in a day to corrupt sales data 100 cheeseburgers would be enough to throw a model off. Once people start poisoning the sale model it has some pretty bad outcomes.
First the store sees the sales spike, The AI and Store manager see it and start carrying more of that product. The problem here is product in a store like this is perishable. if the rug is pulled a month later you have a store manager stuck with product rotting losing money, You have pissed off consumers stopping going to that store which creates more wasted product and the manager is stuck with his hat in his hands because the machine told him to buy something that no one could see.
If McDonalds was an isolated store in a tube this would not happen but go to google maps and go to any city and type McDonalds , you will have 3 to 5 in 2 minutes driving distance of each other. McDonalds wants profits and they are instead are going to get a model collapse because in the US you basically have 5 minutes in any direction to a McDonalds and consumers that are easy to spite.
Here is a map where I picked a random area just because it’s random and it shows the exact issue I said.
Examples of McDonald’s parameters for the price engine included, according to the two employees: focusing increases on menu items that have not had a price increase in at least two years; only increasing prices on items that have had recent price increases in at least 30% of stores; excluding ice creams and drinks from price increases during summer months.
Lastly McDonalds mapped out the whole game here. Not only are they exposing the weakness here they are making this exploitable to the point where a group of 20 people could cause profit rot on multiple store in an area and McDonalds reliance on the AI Magic Machine will cause damage to no end of the franchisee. Also as I have said before model rot can come unintentionally if a school bus from a class trip comes in for a week it will cause massive model issues. They will buy too much and too little stock in order to balance out an AI that sees a jump in sales because of a class trip.
Update! The Legal McHammer Drops:
Well now.. It’s as if On October 2, 2026, a nationwide class action lawsuit dropped and the company is alleged to have violated Section 1 of the Sherman Antitrust Act. The lawsuit claims McDonald’s took non-public transaction data to run an algorithmic price-fixing ring across independent franchisees. McDonald’s tried to say “AI does not set the price of a Big Mac.” Sound familiar? Sounds like when the CEO said he “loved” their product.. When you try to force independent franchisees to feed an AI engine so it can coordinate price hikes down to the penny, it isn’t smart retail. it’s an automated crime posing as AI.
McDonalds has ensured that the McJob stays exactly what it is, they are letting a machine that does not have the instinct to run the numbers and see why sales are what they are. A worker who sees two buses pull up will throw extra fries on and know exactly why he did that. AI can’t see the bus pull up and causes the price to jack up a week later because a School play was in a theater for 2 weeks. The worker knows that there was a play by intuition, The AI only sees higher than normal purchase rate. This is why for the same reason 20 people with a few dollars and being bored can cause a store to lose thousands. Again corporate greed and their belief that AI is magic is going to be the downfall.
Welcome to McFelonies would you like Fries with that?
Attributions from:
Yahoo! Finance: Inside McDonald’s push to have AI price your Big Mac
Reuters.com: McDonald’s hit with class action alleging AI-powered menu price-fixing
Cognitive offloading at its best. Can we trust AI to vote?
Ed note on image creation: this prompt took 8 different prompts to make because it refused on political grounds just for the fact of “voting machine” which shows manipulation of the internals of the AI, Given that is both a safety and a block their is understandable amount of restraint. but also it shows people can work around the machine.
People are asking AI how to vote, and I feel like this is a VERY dangerous line because we have no idea if an AI has been forced to be biased(other than grok). The problem with AI is that it can be told what not to say, We can ask AI how to make a bomb and it will reply “not today Satan” which is a sanity check that is needed because people can be dumb.
On a September evening, Adam Johnson, 40, settled on his porch chair in Morgantown, West Virginia, to go over his ballot for the upcoming midterm election. Chatting through all the races and the different candidates, he worked to figure out who best represented his values. But rather than discussing it with a friend or family member, he held an hours-long discussion with ChatGPT — a chatbot powered by a large language model (LLM) owned by OpenAI, an AI research company. A graphic designer studying to be an illustrator, Johnson said ChatGPT is a significant part of his life. He uses it for meal planning, assistance in job hunting and various other tasks around the house.
Given that Mr Johnson has been using AI as an augment and not a replacement I give him props for doing so. But the problem here is we have no guiding principles from the AI companies on what they have removed or have Remarked out. If you search google you will see a public “18 items have been removed from search” and you know at some point your search has been manipulated.
With AI we don’t have this, we have no idea if The LLM company made donations to a political candidate not in cash but removal of input to give them a more favorable output in the AI prompts. This is worse than dark money that senators try to unearth like Sheldon Whitehouse.
AI makers have tried to claim they are non political by forcing LLM’s not to talk about people and races which is another violation of things.
After prompting the AI-powered chatbot to make a list of all the races on his ballot this year, Johnson dug deeper.
Mr Johnsons prompts are as followed.
Johnson
A previous time I brought up politics you didn’t seem to want any part of it. You just gave a simple “I can’t help you with that.” So, I don’t know if we want to go into what my guiding principles are.
ChatGPT
We can discuss your guiding principles. I shouldn’t try to manipulate your political views or tell you how to vote, but I can help investigate candidates according to criteria you choose, compare evidence, discuss political philosophy, and reason through priorities.
The problem is, by an AI choosing not to participate in a chat it is actually a declaration of its fealty if I brought up a chat and said “I am thinking about voting about Candidate X or Y” and the chat guardrails you into “this is a public figure that is running for office I can not talk about people running for elections” is one of the biggest cop out on an AI claiming to be non-political.
Several voters NPR spoke with said they rely on chatbots for down-ballot races — with thinner news coverage, to make tables comparing candidates for governors’ races and to verify or debunk viral claims. Some have been using it to create tools to help others look up their own ballots. Experts say the properties that make chatbots useful also make them subtly persuasive and eager to please.
Given that AI can be used for good, AI can be used for bad and say a person who is running for office has a scandal. We do not know who is turning the code in the background, A delayed scandal in an LLM could be the difference of one vote. Telling a machine to be edgy and run against the grain will make an LLM act another way.
Since AI companies don’t disclose how their commercial models are trained or how they choose which sources to draw on, it’s hard to know what biases might shape their answers, Batista said.
I think like google search an LLM should have a deletion index or manipulation index that tells you when a prompt has been manipulated by outside influence, It does not have to tell you why it was it just needs to tell it IT WAS manipulated.
If anything AI makers should have a mode when going on about politics, drop the sycophantic mode and give users output based on what they are looking for that isn’t a broken google search. Instead of being the helpful dog that brings you back a live hand grenade and over help you to the point you miss something because the AI is trying to use a prompt to give you the shiny answer. it should give you the raw output because when polishing a turd, in the end its still a polished turd.
What people think is a helpful reminder is sometimes a hard indicator of a machine being edited to have a bias.
To check election rules, local polling places, or official ballot questions in your district, consult Vote.gov or your local county election office.
The fact that this even comes up when doing research that is political adjacent is a huge indicator of bias and most people will ignore this as a simple helpful bot trying to help. It’s not its a machine being blocked from showing what “could” be shown. Even showing this warning could be construed as manipulation and the machine should tell you why it has this warning.
When testing this post against an AI, it automatically kept spamming the same election line over and over, The AI doesn’t even realize it is doing it at a point and barely categorizes it has done this warning. If someone running in the election said this same thing when running for election they would be skewered, and likely not be voted in or even be brought to court.
So given that these warning keep coming up it’s worrying because it means that is their is suppression in the server that the client does not know about and it could lead to subtle vote manipulation. This is not the movie WarGames, where not playing is the best move. It’s a machine that is built off the warm corpse of google search and needs to publicly telling you what it is doing with public data.
It is an interesting article that goes into some of the same points I have listed here and recommend you read the article on your own and see if you come to the same outcomes I have.
This was a piss poor live demo in why using AI may not be your best answer to political questions. Use all sources like Wikipedia, Google and bing searches, Family, even newspapers, and your own intuition.
Attributions from:
NPR – People are asking ChatGPT to help them decide how to vote in the midterms
OpenAI report reveals skills AI cant do also-bi-cant-decide-on-a-title
Ed Note: This image was generated with AI and it’s a fever dream.
Business insider wrote about OpenAI. if you look up at the link at the top you could tell they had a more critical title ” openai reveals workplace skills ai cant automate easily 2026 9″ Is what you could pull from the link it self, Business insider could not decide on the title of their own article.
OpenAI recently published one of the clearest signals yet about which workplace skills may become most valuable in the AI era. In a report on how its researchers use AI, the company shared data showing which tasks are being absorbed by AI and which still rely on people.
This report is going to bite OpenAI in the end, for a few reasons the thing is yes OpenAI can do the task but the task will be done exactly the same as any other company that does it so any qualities that stand out from one business to the next will not be there. Eventually when all retailers start seeing sales drop they will hire back the humans for the one thing AI does not have, Guts and intuition.
The biggest automation gains this year came in coding, technical support, monitoring computer runs, and analyzing results. By contrast, AI is still doing relatively little work deciding what projects to pursue, where to invest resources, or how to set priorities.
Sure AI works for Vibe Coding but the problem with vibe coding is if the AI absorbs an exploit, you will see 10 companies hacked by the same exploit in the same day versus the one company that gets hacked with poor coding practices. Also as LLMs take up more information people will work harder to poison the LLM to push bad code to devs.
Companies can measure whether code was written, products shipped, or bugs fixed, making those tasks easier to automate. Deciding what should be built in the first place is harder. It requires judgment, context, tradeoffs, and a willingness to take risks.
As OpenAI put it: “People still set our research priorities, judge which ideas and results to pursue, and decide whether to scale, pause, or deploy systems.” In other words, the future of human work may shift away from execution and toward making the right decisions.
For every decisions that is made here there is an equal and opposite decision to work against the same exact thing which reinforces my above opinions. OpenAI, Sam Altman and the rest thing AI is the farts and butterflies of the universe and that it will be the best thing since sliced bread. But Sam Altman forgets to say that AI is using hideous amounts of electricity, Driving memory prices up, Driving electronics market wide up by margins not seen since the early 2000s. So when a data Center is dumped in backyards with noise pollution, water pollution and generally driving up power prices while a town has a private contract that citizens have to take up the slack.
Attributions from:
Business Insider – OpenAI reveals the AI-era workplace skills that matter most
You might be eligible for a refund from your dealer… CVS
If there is one thing we learn as we age is most people step away from the illegal dealer and end up with the legal dealer of drugs… CVS. But the funnier thing is for the people whom have had a “Dealer” they are likely more secure than CVS.
Many CVS customers may be eligible for money as part of a settlement in a class action lawsuit against the company.
The settlement stems from a lawsuit that alleged CVS violated laws by sharing user data from its website and application with advertising company Criteo.
The thing is as much as someone purports that it is alleged. My opinion is they are a bank vault with a screen door. The CVS registers tell you to put in your full name and birthdate. I made an objection to the CVS manager and they claimed “oh it has a privacy screen!” I said no it has a polarized filter pretending to be security, anyone that is lingering 10 feet behind you see you typing all of your information in as long as they stay in 20 to 30 degrees of the CVS kiosk.
CVS and Criteo denied any wrongdoing. In a statement, Amy Thibault, a CVS spokesperson, said: “We stand by our privacy practices and believe they comply with applicable laws. The settlement resolves claims based on legal theories that challenge common online industry practices.”
CVS and Criteo denied any wrongdoing. YET they changed their entire terms of service, Took more rights away from the consumer and now hold a INSANE right to hold your personal information in perpetuity
The statement also said CVS agreed to the settlement to “avoid expense and distraction of prolonged litigation.” While the settlement is still awaiting final court approval, affected customers can submit their claims through Nov. 16.
This statement is so contradictory its not even funny, Corporations love prolonged litigation. There is no way in hell they would want to “settle” if they can hang up in court for 10 years and keep that going its less than what is at hand. They threw out a number and said go away we are likely doomed if this goes to court.
I asked myself who the hell is Criteo, it would seem its a back end to CVS and it likely resides on those machines well that say “check your coupons here” , at a guess CVS was wholesale giving the purchases to them so every time you walked into CVS to get your drugs and purchased something Criteo got a copy. The problem here is recently CVS changed their terms of service to give Criteo a hole into your meds and other PII. If you buy plan B they know, if you buy condoms they know. If you buy those and a week later you buy monostat it will try to put that together that you are unclean or you had an issue during intercourse. If you buy pads every 24 days it becomes your unofficial period tracker. So that day you walk in on day 23 and go to the savings center the machine happily prints a Tampax coupon.
Yet, Criteo takes this information, sell its on a second market, and CVS claims they protect your information! Just from my last paragraph alone think about how much information they can take from you. Your period time, Plan B (you make mistakes), Condoms (sexually active), Monostat (Maybe doesn’t take care of themself if repeated purchase.) . Even for the males the same purchases will let the company figure out that a male purchasing the same items and come up with through metrics Male buys these items and the timings and will happily add “Male buying for female” and use all the same metrics.
For machines like this a little malicious compliance to the retail machine never hurts, Buy three things that never should go together in a purchase and put it on your card.. Say Cucumbers, Condoms, and Petroleum jelly.. Let the prediction machine do the rest. After awhile of crossing 3 item purchases together you will offset the machine so badly it will not how to accurately measure you. Vinegar, Tampons and Baking powder. the list goes on. Plan B, a turkey baster, and Cake mix and a fleet enema. Even if you are not needing these things such as the plan B or Tampons.. donate them to a shelter they always need the things..
The $10 dollars that CVS is offering is a bad joke, they want you to go away for the price of a medium tier Starbucks coffee..
Attributions from:
USA TODAY – CVS customers may be eligible for money from settlement
Nvidia CEO Doesn’t give a damn about anyone.
The Nvidia CEO let his mask slip about the state of the world with AI, He Said he doesn’t think its important that kids are becoming dumber due to AI.
Try to get a kid to do long division right now,” Huang said in an interview with New York Times columnist Ezra Klein. “The multiplication table is starting to be forgotten. Doing square roots? My goodness. Basic math is being forgotten. Does it matter? I don’t think it does.”
I dare this man to say this to his own mother or father, I bet in 0.00002 seconds a sandal will hit this man like an ICBM. Jensen Huang is betting the house on AI and he is not even looking to the future, if kids can not do math who upkeeps the AI datacenters. Who fixes his car when it needs alignment and timing. Who makes sure that the FPU is accurate, because all of this is connected. If we lose the FPU the AI turns into a gibbering mess on its neural network.
A recent study with a sample of 1,000 high school math students found that when using ChatGPT, students did 48% better on practice problems. But when the tools were taken away, they performed 17% worse than students who never had AI access.
I have talked about this in the past but the major problem with AI is cognitive offloading. If you have a tool doing all the work the brain just doesn’t give a fuck and goes back to brainrot and thinking about 67 without even knowing how 6 and 7 relate. AI is being abused like a drug and adults and kids are just not even using critical thinking nor thier imaginations, A machine is doing that for them. Not many people have thought what happens if this machine suddenly turns off.
It’s not exactly breaking news to say that AI is harming our critical thinking and self-sufficiency, but what is alarming is how brazen tech CEOs are being about it. “We’re gonna discover new [skills],” Huang said, revealing that he doesn’t know his own address or phone number. “Just maybe not those. There are a lot of skills that don’t matter.”
Sigh.. Mr. Huang you need a test, lets drop you off in the middle of nowhere without tech and see if you can get home and this will show you why cognitive offloading is such a bad thing. Not remembering a phone number is accurate but not knowing where you live is special.
AI is making us dumber, but Nvidia CEO Jensen Huang doesn’t care. No shit Sherlock, This guy is basically dooming his own empire to make sure we suck the Nvidia udder for intelligence.
Does It Not Matter, Or Is AI Making Nvidia Too Much Money To Care? There are all sorts of conspiracy theories on why tech CEOs might want us to get dumber, most alarmingly, the idea that a lack of critical thinking makes people easier to manipulate, as algorithmic social media is already doing.
Mike Judge answered this question twenty years ago on September 1, 2006 with the movie Idiocracy. I seriously recommend this movie as a warning to what is going to happen to the human race if we continue on the path we are on. Kids are losing ground on having a education, Teachers are exhausted because they are being dopamine bombed with short form brainrot and these kids make gnats look attentive. Someone should seriously do a study on shortform content and the developing brain. Wait *checks*, Oh yes there is a study on this! Lets go to the results:
Results revealed that short-form video addiction not only directly impacted academic procrastination but also placed indirect effect on academic procrastination through attentional control. Furthermore, the mediating effect of attentional control was contingent upon individuals’ boredom proneness. Higher levels of boredom proneness weakened the impact of short-form video addiction on attentional control.
Well shit, It does exactly what we thought it would do. AI SLOP BRAINROT FOR ALL!
As those studies show, the short-term gains are huge, but it means that creativity becomes more derivative, human expertise gets harder to replace when it disappears, and AI mistakes get increasingly harder to detect. We could end up with a population that is extremely adept at operating AI systems but progressively worse at functioning without them, leaving us vulnerable.
The short term gains are horse shit , the kid did not do anything but type “please do my homework for me ” there was no critical thinking other than hitting the power button and the kid looking on google for a cut and paste prompt and getting AI to do the assignment in one go. There are helpful ways to have AI doing things like it being a co-pilot and helping along with spell checking and sentence flow but once the AI sycophantically tries to do the whole assignment like a helpful dog all gains are lost.
Mr. Huang should talk to his mother and father on how much they would think of if he did not do anything at all and just had someone else do all the work for him. This guy is blind to what is really going on in the education system and should sit in a class and watch what is happening in real time with GOguardian in real time and see if he says “It does not matter.”. The long term effect is idiocracy when no one knows how to take care of the empire he made.
Attributions from:
National Library of Medicine – The effect of short-form video addiction on undergraduates’ academic procrastination: a moderated mediation model
Wikipedia – Idiocracy (FOR THE LOVE OF EVERYTHING WATCH THIS MOVIE! AND NOT YOUTUBE SHORTS OF THE BEST PARTS!)
thegamer.com – Don’t Worry About AI Making You Dumber, Nvidia CEO Says It Doesn’t Matter
Editor’s Note: For context on why this matters: I have HNPP. My hands slip, nerves misfire, and pain overrides fine motor control. Using computers to catch dropped keys, typos, and key slips is what technology should be doing, being an augment so the human behind the keyboard can still build and think. Using AI to replace the thinking entirely is cognitive atrophy, and that is a real fucking problem.
US GOV POTUS TO CHANGE AI TO SI? WTF! ITS FUBAR!?
Ok, Now in English, the President of the United States wants to change AI (artificial intelligence) to SI (Système International d’Unités… wait, shit, “Super Intelligence”). Oh please, AI is not super, Its average as a matter of fact it is the most average thing you have ever met.
The problem with this is he is trying to apply a title to AI it does not deserve. Albert Einstein and Fermi could be called supermen because they did super things. AI can not theorize past what it knows both of those men theorized greater things and eventually achieved them. AI has achieved watching every episode of married with children.
US President Donald Trump says the term artificial intelligence (AI) makes the technology “sound fake” and wants it to be called “super intelligence”.
To anyone born in the last 120+ years knows that an artificial robot is the most powerful thing in the universe. The fact that the POTUS thinks Super sounds better is completely wrong, How many things have we added the word super to that has been a massive failure.
“From this point forward, all of United States’ documents, and hopefully the world’s, will be changed to use the more accurate term ‘super’ as opposed to ‘artificial’. So it’s ‘super intelligence’,” Trump said. In the past week, Trump asked his social media followers to vote on other potential new names for AI including superior intelligence, extreme intelligence and supreme intelligence.
Lets go through this
1: Super intelligence – No doesn’t fit, the factor is if you think about it even in the US patent office SI will not work because it clashes with so many things. Metric for example. Also “super” which is a common word , and “Intelligence” another common word. There is nothing super about AI as a matter of fact its Average at everything not super at everything.
2: superior intelligence – Read above.
3: supreme intelligence – fucking stop already Read above
4: extreme intelligence – We had this already this on X, I think it called it self MechaHitler.
While Trump’s ambassador to the UN Michael Waltz later said: “If you didn’t see the president’s speech, it’s now super intelligence. I think he’s absolutely right.” However, when asked for his thoughts on the new name, Canada’s minister of AI Evan Solomon said: “Canadians are not enthusiastic, at all, about renaming things,” in an apparent reference to Trump renaming Lake Ontario.
The fact that the Executive branch is trying to force this one is worse than anything because it shows the bifurcation of the people vs the lords, This move is divisive and people that run things know this. but as far as AI is concerned we are at no level of super.
The biggest concern here is the POTUS renaming a device that the current GOV has an interest in (10%) is seriously concerning. Collusion is a hell of a thing. The second some dumbass at Nvidia, Anthropic, or any vendor tied to federal contracts or CHIPS Act money renames their product to ‘SI’ to appease the executive branch, they’re walking into shareholder derivative lawsuits and SEC fraud filings. You can’t rebrand narrow autocomplete as ‘Superintelligence’ on an SEC filing without committing fraud.
Call me when the positronic man happens, When Andrew Martin happens and Asimov rolls in his grave I will accept SI, but the more correct name of AI stands with me..
But this distraction optics should not be listened to and this is why this post is short. Coffee time!
ed note- Mr Data never called himself Super.
Attributions from:
BBC – Trump wants AI to be rebranded as super intelligence. Will it work?