Logbook: cloud computing
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)
Phone Fun (Pixel 10 xl pro): Spaceballs 2 the search for more money.
It’s been about two years since my last phone review and its time for a new one! When I had the ability to get a new phone I decided to forgo the Pixel 11, I have no interest in a light bar. It’s just influencer vomit.
Though google has to take one knock here on the pixel 11 , they took away the temperature sensor which is a huge loss to people who love the world around them. Searching for a hotspot on a motherboard or piece of electronics bust out the phone and find it. Your kid says she doesnt feel well you bust out the phone. Testing food to see if its done you bust out the phone. seriously google tripped on itself on the pixel 11 by putting in a gimmick rather than a tool!
Give or take it has the ability to bring back the oh so good notification lights! but anyways enough about the Pixel 11.
I ended up getting the Pixel 10 pro XL. As far as an upgrade at the surface from the 9 pro xl you spend a few days looking at the phone and go “So?” . Then, three days in, you glance at the corner of your screen and realize you haven’t plugged the damn thing in once, and it’s still sitting on a fascinating level of charge.
The worst thing about the smart phone generation was the fact you just about had to charge it every day. Google is finally seeing the sweet spot that most other phone developers have missed, A fucking phone that lasts.
My old metric for measuring phones was as so and it was valid for many many years. Phones have come away from just being a phone to the portable PC. All of this is good but as my old metrics I think we can make a change to come up with the times.
The new Metric is as follows (it closely follows the old but is more refined.
1: Communications & Media
2: Configurability
3: Durability:
4: Good battery life
Sure making phone calls is good but there was a time in smart phones that you could send a Telegram before you made a call, Im specifically looking at the Sprint EVO and some Samsung phones.
1: Communications & Media: The phone is much like the 9 to some point but you gain one more speaker out of the deal better sound at the earpiece and seamless Bluetooth connection and it sounds really good with the Bluetooth.
2: Configurability: What can I say when I am using a google pixel, It’s a Pixel it remains the modular Lego kit of the Android world, unlike Samsung where you can get yourself in trouble with Knox you can do just about anything, Install another OS, Install whatever you want within reason.
3: Durability: The frame on the pixel 10 seems a bit more rigid than the 9, While I dont want to drop it it seems like google had paid some attention to that years model.
4: Good battery life: The Pixel 10 Pro XL is much the same as the pixel 9 but with the changes under the hood no one sees anyone who does not pay attention to the phone would think that the 10 is not an upgrade, The 10 on many levels you could completely ignore and think you are not missing much. The phone has a fantastic battery life, I have gotten up to 4.5 days of use between charges. In smart phone terms that is another universe as far as usage.
The return of the temperature sensor is a welcome device because most people do not realize how useful that tool is. If you are working on a car engine and you are not sure about something you can pull the phone out and avoid the touch test to see if something is hot. If you have a kid that’s not feeling so good you can take the phone out and take their temp. If you have questions about food, surfaces and the world around you the pixels temperature sensor is your tricorder of the phone world. Given the inclusion of the ships computer of Gemini it gives you a tool kit that comes closer to the tricorder of starfleet with you pair a pixel watch to the phone.
Given that the Pixel 10 feels like a Fox Body ford mustang. While the economy version looks cool the pro version is the 8 cylinder of the phone world that actually has some good fuel economy. The 9 introduced the fox body and the 10 refines it into a monster.
Google needs to stop with the pixel A/B lines of Pro being a phone with all the bells and just make the pro the base model than market to engineers with an engineering model that has options to interface with machines using a OTG cable and keep the sensors and other stuff useful.
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
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.
OpenAI ‘agent’ hacked Australia’s Medicare and what that really means..
So apparently AI is “hacking” websites. Translation: An AI was prompted to red test a website and got into it.
Australian authorities have raised the alarm after OpenAI-powered models hacked into a government health data system in June, slipping past its digital defences and accessing files without authorisation. This is the first publicly known case of artificial intelligence (AI) “agents” – AI-powered software systems that can carry out tasks autonomously – breaking into a government website, and the latest of several AI breaches of external systems.
STOP! full stop here. This is not the first nor the last, AI has been used to pressure test websites for more time than we can count here and if you load a AI with every way that they can leverage a website the premise of hacking is a lot less hacking and more site/user error. People need to stop acting like AI is the best hacker on the planet because it is not. It is the best average leveraging agent meaning it will use and abuse all of the common ways we screw up as humans.
This article is just another continuation of the AI hysteria that AI devs have been trying to drop on the populace lately.
The disclosure comes as top AI firms warn of the risk of humans losing control of AI, calling for its development to slow to a pace that allows it to be safely regulated. Global powers must cooperate to ensure this, they have said. A research scientist at AI firm Anthropic, Evan Hubinger, went so far as to say he believes there is a greater than 10 percent chance AI could “kill all humans” within a decade.
Look, as much as some of these armchair scientist at Anthropic keep saying this it gives them free press. I have a solution and it’s cheap. for $28 you can go down to the home depot and get a 600 Volt Industrial Grade Three Pole Three Phase AC Toggle Switch, You save humanity just by using 0.01 to 0.05 Joules of mechanical energy. That is all it takes to save humanity from killer AI.
Addressing the United Nations Security Council on Wednesday, OpenAI CEO Sam Altman said there is a risk of AI moving “so fast that people can no longer follow what’s happening or intervene when needed”. “This would obviously be terrible,” he said. “And we should not train models that we cannot make an extremely strong case that we will be able to keep under human control.”
This shit needs to stop, Mr Altman and Mr Suleyman need to fuck the hell off. They are not working on a Manhattan project, they are refining AI that is years old and they know exactly how much it can do. The only change has been the amount of material the LLM has at its disposal. Instead these jackasses are out saying judgement day is coming, why, because it’s marketing. You want to shutdown an AI EMP the SSD and its gone or go the cheaper route and and go to home depot.
When OpenAI accessed the government portal while conducting research on public medical spending, Albanese said the AI agent circumvented “blocks” that should have prevented it from breaking into the portal.
This was not a hack, The AI knew the structure of the dashboards and likely the aussies never secured a dashboard that they thought it was not in public view. It likely tested /admin/, hit a wall, and moved to /sadmin/ where someone forgot to enforce authentication… Most of the medical CMS platforms are built in secret and are not tested with a public face and likely this AI has seen every stupid mistake that every base level user makes and used that. So this hack was not magic it found a tool.
Deputy Prime Minister Richard Marles said the information the OpenAI agent accessed was “not particularly sensitive” and was later publicly released. Still, Albanese called the situation “obviously unacceptable” and said Australia had relayed its “extreme concern” to OpenAI, which had failed to notify the government of the breach until September 10.
When you give someone or something the average way the world works around security it is bound to find a way in. You want your way around a master lock . go to youtube the lockpicking lawyers hands will happily tell you how. You want a way to get a file back, Again youtube. Technically humans have the same leverage to learn ways around things just with Youtube alone. So before calling AI a superweapon or Master hacker look at youtube.
In a statement, OpenAI said it had “identified activity involving several Australian government websites and services as our models attempted to look up answers” and “took actions we did not intend”.
This is a case of the answers are normally “HERE” and the AI took the correct route to the control panels and it got information that was PUBLIC and has been misconstrued as a hack.
Yes. The Australia data breach is the latest of several instances in which AI agents belonging to OpenAI, Google or Anthropic have accessed external systems without authorisation.
OK… Did someone not proofread? Earlier it said ” This is the first publicly known case of artificial intelligence (AI) “agents” – AI-powered software systems that can carry out tasks autonomously – breaking into a government website, and the latest of several AI breaches of external systems.” UGH … Really … No .. I’m not even going to comment on this . My comment is “comment” for this someone call captain obvious.
Ed note: most times AI’s probe natural addresses and go to /admin/ /dashboard/ etc., which is not hacking but logical probing to find landing pages for various things. The web is only as secure as the person using it.
Attributions From:
Aljazeera – How an OpenAI ‘agent’ hacked Australia’s Medicare and what that means
WTF now… Post Site Maintenance. Time for a change.. Part III
I honestly thought I was done with this, I decided tonight to eliminate my billing from the original host and just have all my billing in one place. Never have any expectation of anything you don’t have high expectations for because when you think they are at their lowest they will go out of the way to prove you wrong and go lower.
I have one recommendation and Normally I don’t go looking for a fight. Avoid Hostgator, They overcharge, they use the same SAAS that other companies are using, like charging for emails. They have a Tech support end that is just a bunch of screen reading salesdrones trying to get you for another few dollars. The second you go off script with these guys they have no idea what to do. The thing is .. HostGator used to be an OK company and now they are looking to extract income from every angle they can from people who are either to lazy or don’t know enough about web development to open a website. Nothing against either because having a business do the hard part while you learn how to make a website is good, There is nothing better than a good handhold. I did the same when I learned HTML back in the day of ancient history.
But HostGator’s enshittification since their buyout has been a breakneck speed and they are failing faster than a door on a 737 MAX. All I wanted to do was finalize some movement on leftover stuff on HostGator , Instead I am dealing with dragging emails out of my file from 20 years ago, and other email from 17 years ago. Having tech support try to put the problem on me and than stick me with regulatory locks. This is not the way you keep a customer , this is how you make customer run! Talk about a failure of a good host, gone are the days of a bunch of guys running a webserver out of their homes to a mega conglomerate trying to say what else we can make a profit off of. The bunch of guys who made this from their uni must be cringing when they watch their empire crumble.
Give or take I had been with Hostgator for over 20 years, Wasted who the fuck knows how much money and they act like I am customer that walked in yesterday. They have had my information since the first man to open the hosting site in his University and they cant set up a profile right?
Ed Note: Subject to updates…
Attributions from:
https://www.newfold.com/ :owns Hostgator
Clearlake Capital Group :funded acquisition of Hostgator
Siris Capitol Group :funded aquisition of Hostgator
Coffeecommander.net : Well now… Site Maintenance. Time for a change.. Part I & part II