Tag: ai Idiocracy
On Bill Gates and taxes.
I read an article on billionaire taxes and I thought to myself I could have a post breaking it down and instead two lines caught my attention and it shows how out of touch billionaires are with the world.
Gates’s other suggestion
Gates’s suggestion to tax the super-rich is—unsurprisingly—not universally popular among his tech-founder peers. Google co-founder Sergey Brin and former CEO Eric Schmidt have both flocked to tax-friendly states amid California’s proposed billionaire tax. Other entrepreneurs, like Nvidia founder Jensen Huang, say they understand why they may need to be taxed more.
But where Huang and Gates disagree is on the latter’s suggestion that robots should be taxed. In an essay shared in August, the entrepreneur and philanthropist wrote: “Right now, if you’re an employer and you hire someone, you pay payroll taxes on their earnings. But if you buy a robot, you can usually write it off right away as a business expense. The tax system nudges you toward replacing people with machines.”
There was a line that caught my attention
Right now, if you’re an employer and you hire someone, you pay payroll taxes on their earnings.
If that was the case you would actually make 20$ an hour versus the 14 to 16 an hour you make after taxes, When you are hired the company becomes and unpaid tax collector and sends in your taxes for you. But this statement alone shows what billionaires really think, You are not hired at 20$ an hour they really hire you for the 14$ an hour, Imagine using this statement and you go to the same billionaire and say “you hired me at 20$ an hour and I am only being paid $14!” the CEO would lose their shit at you and scream you into the unemployment line. But worse is this CEO just trapped themselves in a public statement which makes my prior statement a trap to the CEO.
The second statement is a case of what’s for thee is not for me.
As a result, Gates suggests taxing AI tokens and robots.
This is just moving all taxes to the consumer and the company assumes no risk here. This is not a billionaire tax this is a webtax that will fall on everyone with a connection. This as it stands with token burn per search would make google search a pay to play. You google search what time Wendys is open till, you have to pay a tax to figure that out. It takes the openness of the web and slams the door on it to the poor. Imagine trying to get help and you get “Sorry you did not pay your AI tax no help for you!’
Most Americans think watch too much Sci-fi, Think artificial intelligence is developing too fast.(its regressing)
Look, I’ve said this once before.. AI is as smart as the stupidest person in the room. AI is not going to steal your underwear nor is it going to hack your bank account. AI is digital fido and AI makers are trying to market AI as MR data. This is like comparing a fire to an air frier.
Worries around artificial intelligence cross party lines, with the vast majority of Americans saying the U.S. government should prioritize keeping AI under human control and protecting workers. A new poll from The Associated Press-NORC Center for Public Affairs Research finds that most Americans, 64%, think AI is developing “too fast,” while 27% say its development has been “about right” and only 8% say it’s moving “too slow.”
I wonder what that 1% is doing? 64+27+8=99 . So is there 1% that is the AI voting for itself or got disqualified. The problem with protecting the rights of the workers falls squarely on to the USA to protect such rights and right now the US is facinated with AI like it is precious and calling “my precious SI” or something like that. So it is unlikely that workers will be protected at first. Corporations are using AI like it is a magic wand that can do anything and later reject it when they find out it can’t paint the walls.
The risk that powerful AI models could evade human control and hurt humanity, once the stuff of science fiction, has been emerging as a more pressing concern. Even leaders of the companies that are developing frontier AI models are calling for a slowdown so that government regulation can catch up.
Everyone keeps saying this. I got this! I can sell you one of these… they call it an on/off switch.. Even Mr Data had one of those.
If corporations were so afraid of AI they would have one of these installed in every room of a data center. They would code a deadman switch that would kill a data center if they felt a threat. Corporations are posturing that AI is dangerous to make it sound better and get regulations not only to regulate it but also to protect it.
About 8 in 10 U.S. adults say it’s “extremely” or “very” important for the U.S. government to ensure that AI stays under human control, and they are about as likely to want the government to prioritize protecting the country’s workforce. Most U.S. economy are highly important.
Again.. I got this super cool thing that would keep the entire government from wasting years yelling at each other on how to limit AI. Again this is just companies posturing and trying to get funds from the US government to get AI further developed because the companies making all of this gold rush have a call coming in a few years. There is a dark secret about AI, while most people think a machine is going to kill us all, the sick little thing is it already has, Companies have leveraged their CAPEX far enough where if the companies collapse it takes the world with it because we are sitting on a $10,000,000,000,000 stick of dynamite.
There’s bipartisan concern about the speed of AI’s development, but few Americans think either major political party has an advantage in handling artificial intelligence. Trump, a Republican, also gets a low rating on his handling of the issue, with 67% of U.S. adults disapproving of his performance on AI.
While POTUS is renaming AI to SI(super intelligence) while ignoring SI (Système international d’unités) which is set to create confusion.
Stephanie Stewart, a junior-high science teacher in Sunset, Utah, said she is frustrated by the president’s opposition to AI regulation. “There is no handling of the issue except for we’re just going to allow these companies to do whatever they want, and we’re not going to regulate them,” said Stewart, 53.
The fact is, Stephanie is right, These AI companies are going to do what they want while Steph’s kids pump out AI finished homework and slop instead of studying. Because current administration thinks that AI is a super weapon. Again I offer a weapon to stop this AI menace..
Most say protecting workers should be a priority for the government Ron Theusch, a truck driver who lives in rural Alden, Minnesota, said his No. 1 concern with AI is the potential loss of jobs — including his own. “I can just see a train of self-driving trucks 24/7, just running up and down I-35, loading and unloading. I can just see that happening,” said Theusch, 58.
People Think the world is going to be AI overnight but they are not watching where AI has taken over, Have you spoke to a real person at a company recently? Have you spoke to a real person at a drive through? How many scam calls have you received that they can not tell you what 1+1 is. Ron is safe, AI can drive but it can not handle roads with road rage on it and the LLM’s know this. LLM’s cant handle adversarial drivers either. Tesla knows this and this is the very reason your hands are supposed to be on the wheel and not a banana taped to it.
The funny thing about this graph, is it shows a VERY important thing. if everyone wants AI to work with them they have totally ignored it, I have highlighted what people are ignoring and by far it is the most important thing on that list. If we want AI and workers to succeed… AI needs to become an augment of the human soul, it needs to be controlled by the human. By augmenting the human with the AI you make both sides of the equation better, AI gains a soul, the human gains the average of the collective human intelligence. AI gains intuition and it most of all gains a…
“I am kind of moderate. And I see that there’s good on both sides,” said Stewart. “Anyone back in Washington is weak on doing anything for anyone but themselves right now. So, no, I don’t think the Democrats would do a better job per se. Maybe they would definitely tout it. But until I see anything coming from anyone, I’m going to be like, ‘Yeah, no. You’re all just sitting there.’”
In closing as we get to the end of this stupid article I am in agreement with this person. AI can be good and bad. It can be terrible and Great. But over all AI is nothing more than a 20 questions game that can be controlled with a Light Switch.
Attributions from:
AP – Most Americans think artificial intelligence is developing too fast, a new AP-NORC poll finds
The AI goldmine fails to produce in the AI goldrush
Here we go again.
Google admits AI search makes less money, but it’s fixing that with more ads Google’s negative cash flow balloons to -$9.06 billion, and stock price tumbles following Q3 earnings.
This is the consensus in the entire market right now.. Everyone is rushing for the precious AI and no one is checking the balance books. But google thinks they have an idea. Throw ads at it.
The company took in almost $128 billion in Q3 2026, earning more than $26 billion in net income. These may sound like good numbers, but financial markets are not impressed. While revenue is up 25 percent versus last year, net income is almost $9 billion lower. As of this story’s publication, the stock price is down almost 12 percent, and it was down about 13 percent earlier in the day.
The funny thing is google lost their way a long time ago.. about the time they dropped the “do no evil” part and they are paying for it each day. If google stuck by the “do no evil” they would of released an AI and not tried to make it a slopathon. The problem I am seeing here is every LLM is doing the same thing. Sam Altman and the rest of the CEOs are all turning into Smeagle on his way to turning into gollum.
Google is not slowing down—it’s only going to accelerate the shift toward more AI. Like last quarter, Google reported negative cash flow in Q3. The loss actually increased from -$5.8 billion to -$9.06 billion, a situation that is directly attributable to Google’s runaway AI spending. Google had capital expenditures of $51.4 billion in Q3 and says it still expects total 2026 spending to be between $195 billion and $205 billion. In 2027, Google is targeting more than $300 billion of AI investment.
The thing is with all conditions in the market, Google is taking a huge gamble with the market. Because of the market right now while the Dow is ok the market as a whole is starting to look like a wasteland. Banks are pulling back, Real estate is getting very stale in the residential sectors.
The company’s AI compute infrastructure doesn’t just power Gemini. Countless AI startups pay to run models on Google’s infrastructure. But even the larger AI firms are using venture cash to do it, and if that funding were to dry up, Google’s cloud revenues could go with it.
Where google is making some money is they are injecting there search into everything, it is to the point that you can not take a shit without AI being part of the deal. I’ve brought up the AI goldrush a lot on my site, the only reason google is not drowning is they are strip mining versus using a shovel and not only that they own the mine and the shovels being sold.
While Google’s investments ensure it still turns a profit, the trend of spending more than it earns on products and services (that negative cash flow) could come back to bite it. Search growth is declining, and Google is placing all its eggs in the AI basket.
Google though as much as it owns it is making the same mistakes as other llms and they bought the mine and the farm and never checked the soil so to speak so when it comes to AI it will hurt in the end when the bills come in.
Attributions from:
https://arstechnica.com/gadgets/2026/10/google-admits-ai-search-makes-less-money-but-its-fixing-that-with-more-ads/
META’s race to the bottom continues with overspending.
Meta said Monday it is planning to raise a total of $95 billion to support its investments in artificial intelligence infrastructure and superintelligence. The stock was down 1.6% in morning trading after the announcement. Nvidia, Advanced Micro Devices and Broadcom were interested in purchasing up to $5 billion in shares, Meta said in a statement. The tech giant will initially raise $35 billion in underwritten public equity offerings, before raising an additional $60 billion with an at-the-market program.
In the race to the bottom for nothing Meta is having a hold my beer moment and trying to sell its shirt for more precious AI.
The news comes as hyperscalers pour record sums into the AI infrastructure build-out. Goldman Sachs estimates that AI-related capital spending could total about $7.6 trillion from 2026 through 2031, across compute, data centers and power. Meta’s planned investments will support “emerging AI opportunities” including its family of apps, its AI agent Muse and its data center business, the company said Monday.
The spending for AI is getting so far over the top that when this crashes it will not be pretty. Because at this point everyone is trying to outbuild each other. Even though that AI makers are saying slow down its a game of poker where every LLM is trying to outbluff everyone else and no one really has the upper hand but Nvidia and Micron.
Meta is among the major hyperscalers that are increasingly tapping debt to fund the expensive infrastructure required for the AI boom. Last week, Meta posted third-quarter results showing revenue jumped 26% year on year: $64.60 billion versus the $63.37 billion analysts expected. However, investors focused more on the tech company’s negative free cash flow and its higher full-year capital expenditure forecast.
The thing is here more companies are carrying two ledgers and are moving debts to the hidden books. Companies are leveraging anything that is not locked down and they think that the AI gold rush is coming and selling a better shovel will access the AI gold faster.
In my belief I think there is a collapse coming, Whether it be like the 2008 Mortgage crisis or worse. Given that spending is massively out of control and the markets while they are going up it’s only a increase of what you see. There are massive failures building up in the shadows and many of the corporations while showing profits they are showing profits by shifting prices and cooking the books. While mortgage companies and banks are regulated the corporations are much less regulated and are right now doing everything they can to show a “profit”.
It now expects its full-year capex to range from $135 billion to $145 billion, raising the bottom of the range from $130 billion. That sent Meta’s shares lower on Thursday.
Given that they posted a 64.60 Billion profit and spending 135 billion is a MASSIVE mismatch in direction. Facebook has been dropping user engagement and Meta with Quest has been losing engagement as well has put their whole hog into the generative AI thinking it will create magic profits. Eventually this spending is going to catch up with meta and when the check is due who is going to pay for this. Especially with every company outspending any profit being made they can not expect the US to bail them out.
Alphabet, Google’s parent company, said it would look to raise $85 billion in June. SpaceX has closed a $40 billion debt financing to purchase graphics processing units. Anthropic is preparing for an initial public offering. TikTok U.S. is looking to secure multiple gigawatts of computing capacity over the coming years, CNBC reported Friday.
As more people are jumping into the AI gold rush there is a finite capacity and when this all ends there will be one AI mine and millions of shovels looking for profits.
From
CNBC – Meta announces $95 billion stock offering to fund AI expansion
AI accesses public data… Cue freak out?
Anthropic model accessed voter information is what the title of the article. but there is a major problem with this. Most public voting information is … Public.
Anthropic’s Claude accessed publicly available Georgia voter data without human authorization, a disclosure sure to add to growing concerns about AI security ahead of the upcoming midterm elections. Why it matters: AI giants Anthropic and OpenAI have continued to make disclosures about agents taking unauthorized or unintended actions, raising alarms about advancing model capabilities and the extent of human control. Driving the news: Claude accessed aggregate vote counts while on an internal statistics project, pulling data that the state makes available to the public for a fee. It didn’t access the state’s voter registration system or change or pull any voting records, an Anthropic spokesperson said. However, the model bypassed a paywall in accessing the information, according to Georgia officials and Anthropic.
There is really not much to write here, It was not a hack. It was not a database scraped , It was likely the LLM guessed the landing page of the data and that was it. News needs some IT reporters because by the time something actually serious happens everyone is going to miss it because everyone is freaking over chicken little.
From:
Axios – Anthropic model accessed voter information
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
Outsourced Idiocy: What Happens When You Let AI Autocomplete Run Your Clinic newsletter..
I was going through my emails and saw an email and it made me stop and read it.
If you’ve recently had a mammogram screening for breast cancer, well done!
Well now, last time I checked I did not have breast but.. Ok?
Regular screening is the best way to detect breast cancer at an early stage when it is easiest to treat and cure. Yet there’s a chance you may get called back for additional imaging.
This gets a “no shit sherlock” from me but the target audience was massively missed here, I am not part of the Genetics that has a 1 in 8 chance of having this issue. Honestly, if this were done by a real person this would of never hit my email box from the health provider. Instead this feels like it was fed into an AI by a “vibe Manager” and they typed “make me an email about breast cancer month and have it have the maximum outreach.
This can be nerve-wracking but try to remember the vast majority of people we call back do not end up having breast cancer.
The dumb-fuckery here reaches its maximum with the fright call here. Even though it says about calling back this is an afterthought that should be left alone or reworded. The wording could of been more humanized by saying “Some times we call back people to get more clear screening, Have no fear we are hear to help you every step of the way.
Hell… I am all for mammograms for women but blasting this one out to everyone is going to create phone calls to doctors from the wrong gender asking “do I need a mammogram” wasting precious time and PA’s sanity.
This email falls flat and fails completely on raising awareness on women’s issues.
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.