Tag Archives: Claude

July 6, 2026 · 12:08

History marks arrived

That is what I see, there are two settings. The first one was not new, it was three weeks old when I saw (at https://www.wired.com/story/a-court-has-ruled-that-google-is-liable-for-false-statements-generated-by-ai-overviews/) ‘A Court Has Ruled That Google Is Liable for False Statements Generated by AI Overviews’ it is not entirely undeserved, but it also sets Google up for people fleecing them, so some will ‘cater’ to the need of supporting a setting that set Google up for a trap. We cannot see this directly from “Germany has issued a ruling that could reshape the operation of search engines and artificial-intelligence-based chatbots worldwide. The Munich Regional Court preliminarily ruled that Google is liable for a series of false statements generated by its AI Overviews feature, requiring the company to prevent the dissemination of erroneous or inaccurate claims through its search engine.” So, whilst some will cater to the need of false feeing that search engine, we are left with a more than slightly vulnerable Google. Whilst we see (at https://www.rmit.edu.au/about/schools-colleges/media-and-communication/industry/rmit-information-integrity-hub/the-repost/june-2026) ‘Should AI be liable for its mistakes? A German court says yes.’ Where we see “Jeannie Paterson, a law professor and co-director of the Centre for AI and Digital Ethics at the University of Melbourne, said the decision was “potentially very important” and could have ramifications for Australian consumers. The decision hinged on who is responsible for the content of AI search results. The law has traditionally considered social media platforms and search engines to be mere conduits for information, Professor Paterson told The Repost, meaning companies “only become liable if they knowingly participate” in sharing information that proves to be wrong.” I personally believe that Professor Paterson is setting up loaded dice. You see, in the first AI does not yet exist. And the second part is “who is responsible for the content of AI search results”, that answer has two stages. The first is the programmer who ‘created’ the analytical setting of predictive analytics, because that is part of any DML/LLM setting. It is not AI. And that data is also a side, because there is a massive failure of validation and verification. We see it all the time and whilst some are ‘whisking’ it away through ‘hallucinations’ I have seen the Grok side of things on data that I created and it take all without any reference other stories I had written, as such we see a programming failure. And through that the stage of “who is responsible” gets a new life and makes the water pretty murky.

That is what I see. And anyone saying I am wrong can take a long walk of a short pier. As I saw that, another stage was handed to me.

Last week we were given ‘Ford rehires human engineers after AI fails to match quality checks’ (source: BBC), this is not new, I saw this coming a mile away and I present (as pseudo evidence) ‘Is it more than buggy?’ (at https://lawlordtobe.com/2024/01/05/is-it-more-than-buggy/) and I wrote that story in January 2024 (over 2.5 years ago), as such it should count as evidence and I gave the clear settings of “On May 27th 2023 the BBC reported (at https://www.bbc.com/news/world-us-canada-65735769) that Peter LoDuca, the lawyer for the plaintiff got his material from a colleague of his at the same law firm. They relied on ChatGPT to get the brief ready.” Which now intersects with the AFR (at https://www.afr.com/work-and-careers/workplace/ai-use-in-dismissal-claims-borders-on-contempt-of-court-judge-warns-20260705-p60cob) ‘AI use in dismissal claims borders on contempt of court, judge warns’ and considering that this failures car in May 2023 when the BBC reported on this, we see a larger immature failure of other branches as well. You see, that it was tried is OK, and it failed three years ago, as such others should have stopped this as soon as they came aware. These settings all intertwine, because validation and verification is all part of these failures. As I see it, they were never made. I would be in favour of a separate tier of verifying all it produces, and these sources need to be validated. As such “after one claimant’s chatbot cited large swaths of evidence that did not exist, in a case showing the technology bedevilling the workplace umpire is now hitting the courts.” So, evidence that did not exist, where have I seen that before? (Small giggle inserted afterwards). This is why I feel that my services n technical support and customer service will be needed soon enough. When Fake AI fails to this degree. It is one small step for the AI agent to tell the customer “just press the carrier online button on the right side of your device” for this to fail and when that happens a few times, these ai agents will be pushed into the land of the Dodo soon enough. And that (until there is an actual AI) with proper validated and verified data is where that agent remains. You see, it was never rocket science. Some sales person saw the DML/LLM setting and started to call it AI, but Alan Turing had some clear settings on it all and this is not it. I believe in DML/LLM solutions, I saw an amazing application for lost and found in an airport reducing days in optionally less than an hour and there are more, but it is the, not AI, no matter how sweet they mention AI, it is the trap the salespeople set up and now that the class actions are setting in all kinds of field and personally I keep a high note on ‘Unauthorised Training Data’ and ‘AI washing’, whilst an alleged Anthropic settled for $1.5 billion for using pirated books to train its Claude AI model, I see my data transgressed upon and whilst some state that this is $1.5M per work, I was transgressed over 1700 times, as such I should be a billionaire (we can all dream can’t we?) But clearly I am not on that setting yet (to be clear I just confirmed with my wallet and my wallet is moaning due to a lack of green bills of $100. 

All these factors add up and whilst some are already seeing the lack of data, the lack of verification and the lack of validation. There is an overdue stage of properly aligning the settings we should be seeing. And that is why the class actions continue and whilst some will whip them away in settlements. And whilst we wonder why it took so long (over 3 years) for law firms to see that stage, we will see a lot more, because as I see it, the law interns believe that true time savings could be made with any ChatGPT/Claude the reality is slightly different and soon these clients will set up clauses that no AI is to be used and that is the larger failure in all this. So whilst Ford saw their failings in the early age, big software firms  aligning with what they call AI Agentic solutions will soon learn the price of that failure. And this is not just Microsoft, this is likely to effect all large software vendors. As such thousands will be hired once more and some who were pushed out in a slightly disgusting way will seek any other employment, as such these ‘embracers of Fake AI’ as I tend to call them will have a new problem and employment agencies are no longer able to get any, some who used their Agentic solutions from day one. And the fallout is soon spreading all over the world. So as I have seen these markers all over 2025, I see opportunity (for myself) and other technical support people in 2026 and 2027. The question for these firms becomes, did they treat their support people proper, or were they (as the teams goes) ‘dicks in reducing their staff members’ in this I love the quote from Walter Mitty (Ben Stiller) “This thing that you do, Ted, where you come into a place and push people out, you should know those people worked really hard to build this magazine. They believed in the motto. And I get it, you’ve got your marching orders and you have to do what you have to do, but you don’t have to be such a d*ck. Put that on a plaque and hang it at your next job.” And those who loved the part Ted Hendricks (Adam Scott) played in all this, because he was so managemently will now have a much larger problem, because I am still in contact with buddies who did my job 30 years ago and we all talk. So they now are unlikely to find anyone. So whilst they are learning that all AI is Fake AI and they could wait for for 2 decades (for True AI), but their KPI based is not that long, they now have a problem. And the is all before they figured that all data required revalidation, verification and attune it to a newer system, the markets will suddenly experience the bubble setting, that according to SoftBank CEO Masayoshi Son, who called the current artificial intelligence boom a “bubble” is an insult will be forced to do an about turn on that setting, of course those investors will have faced the write off if trillions, so they are unlikely to send Masayoshi Son a Christmas card in 2028, but that is merely my view on the matter. 

What matters is that is that these evangelists and influencers screaming “AI” are about to be found out as the new evil. There is also the groups that properly set the AI field in a DML/LLM setting, and they will be OK. If they had properly prepared their customers and aligned them with what is, I reckon that they will be OK (still a personal view on the matter).

So where are we now?
As the news is giving us more and more failures, more and more about turns from larger companies. We are seeing what could become the implosion of that bubble. The problem is that is will not implode all at once (some are unable to survive that), it is more likely then not to manifest itself as group implosions. Not all at once, but (for example) 10 explosions of 10% and when they are apart enough, some of the larger player will survive. In one setting when these judges consider that this setting was going on from 2023, making the decision that all AI assessed briefs are regarded as “clear contempt of court” we see that it would become a setting of staggered failures and when the time between these events are enough apart, the write off is optionally limited, but that is me just hoping for a reduced heartache. It is unlikely to affect me, but hoping for the worst setting is just uncivil. 

There was actually more, but I am somewhat exhausted and I have written part f all this before, just browse through my blog. I am still in a setting where I want to see who used my blog for scraping and AI washing. I doubt if I will ever find evidence that holds up in court, but with a (massively delusional) $2.55 billion which was 1700 times 1.5M at stake, one might be willing to waste a few hours on this. Anyway time for men to continue a written adventure in Abu Dhabi, time for more there too.

Have a great day. 

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June 26, 2026 · 07:07

On the lighter side

We all have that at times, the setting of a lighter side. You know the average romcom with sex, a little violence, the setting of blackmail and of course, some piece of software. The average day in the life of an fake AI. So I was ‘rudely’ awakened by news (at https://www.bbc.com/news/articles/cwyklykn5dwo) where we see ‘Anthropic accuses Chinese rival Alibaba of illicitly extracting AI capabilities’. So it made me laugh, b because this comes at the near start of a bubble heading straight for the HQ of Anthropic. Now let me show you what I was having in mind with all this and best I use graphics for that setting.

So we see the application on the left, the data on the right and in the middle we get the setting of that fake AI, you see it has DML and LLM, which I represented as a separate stage, but it could be one big thing, the coding is in the middle and there is interaction between the three like any application would have. So the middle part could be part of the application (it likely is), but for the clarity I wanted to show it like this. Because the picture fits better for the explanation. So the question becomes (the sound of dramatic horns in my mind)

“US artificial intelligence (AI) giant Anthropic has accused Chinese e-commerce and technology firm Alibaba of “brazenly” and “illicitly” extracting its Claude AI model’s capabilities.” How is this possible? I am not saying that it cannot be true, because that requires evidence, but if we see these parts, how blazingly stupid is anthropic to let someone else have a go at this. Beside this, what EXACTLY is “extracting its Claude AI model’s capabilities”? You see, when you see the image, the capabilities are shown in the application and cannot proceed without data (or less likely so), so as we are in the bubble setting this so called move sounds like a joke and with the added “In a letter sent to two members of the US Congress, the San Francisco-based company said operators linked to Alibaba carried out almost 29 million exchanges with Claude using thousands of fraudulent accounts in what it called the largest extraction campaign of its kind.” It seems like there is a massive security lack in all this (that is, if there is a transgression stage). But the setting that we see with “operators linked to Alibaba carried out almost 29 million exchanges” so as I see it, in 2014 we had the Cambridge Analytica scandal, where Facebook got ‘relieved’ of a whole lot of data. Doesn’t anyone learn from that experience, as such we get a repetition of all this? But I hope the story is clear. How was this even possible? As I see it “According to Anthropic, the campaign was carried out through what are known as “distillation attacks”, which extracted answers from a stronger AI model to train a weaker one.” This is a debatable setting (not stating it cannot happen), but the image I ‘created’ shows that a distillation attack requires a lot of information that requires insider knowledge to be successful. 

As such, I am not saying that Alibaba and the 40 fighters for the Palestinian cause is innocent, but I have doubts on the entire setting. I personally see this as a Dutch SNS setting. Where the massive mortgage (the invested dollars in Anthropic) are written of by putting it into a bad bank and letting that bad bank collapse. As such you need to be aware that I could be wrong, it is based on expected behavior and speculative settings, so do not take my word on it, but consider that at present the BBC is spinning you a yarn by presenting the data from others. Just so you know.

So, this is how I got my 05:00 wake up call, thank you BBC. Now it is time to get some coffee and optionally have breakfast afterwards.

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June 1, 2026 · 13:46

The new short is coming

Saw there articles today, which gives me the willies. The people are that dumb to believe this? But to give you the goods, lets strata the beginning. The first one was CNBC giving us (at https://www.cnbc.com/2026/05/28/anthropic-open-ai-startup-value.html) where we see ‘Anthropic tops OpenAI as most valuable AI startup, nears $1 trillion valuation in latest round’ it is here that we are given “The newest round was led by Altimeter Capital, Dragoneer, Greenoaks and Sequoia Capital, and almost triples Anthropic’s valuation from February, when it was worth $380 billion. The financing also includes $15 billion of previously committed investments, including $5 billion from Amazon, the company said. Anthropic’s biggest competitor OpenAI was valued at $852 billion in late March after closing a record-breaking $122 billion funding round.” But these people need to give us the why, so we are given ““Claude is increasingly indispensable to our growing global community of customers, and we work tirelessly to make tools like Claude Code and Cowork more helpful, more powerful, and more adaptable to their needs,” Anthropic Chief Financial Officer Krishna Rao said in Thursday’s press release. “This funding will help us serve the historic demand we are experiencing, stay at the research frontier, and bring Claude to more of the places where work happens.” Anthropic’s latest round comes as the leading AI model makers prepare to go public.” So, after this introduction into this blatant presentation, it is time for TechTalk to give us (at https://www.techtimes.com/articles/317467/20260531/samsung-hbm4e-ships-first-record-756-profit-surge-triggers-analyst-upgrades-ai-memory-lead.htm) where we are headed off with ‘Samsung HBM4E Ships First: Record 756% Profit Surge Triggers Analyst Upgrades on AI Memory Lead’, so all this fake AI has been going around for some time and I reckon that there is a misrepresentation with the 756% profit surge. So if my feelings are right, we need to look at the story and it is here that we are given “Samsung Electronics began shipping the world’s first 12-layer high-bandwidth memory 4 Extended (HBM4E) samples to major global customers on Friday, May 29, 2026 — putting the South Korean chipmaker at least six months ahead of rivals SK Hynix and Micron in the race to supply next-generation AI accelerators, and triggering a wave of analyst upgrades that pushed Samsung’s market capitalization past 2,000 trillion won for the first time in history. The milestone arrived just three months after Samsung began mass-producing its predecessor chip, HBM4, and came on the same day Samsung shares surged 5.84% to close at 317,000 won.” And here my gut feeling is satisfied. So can anyone give me how a 756% profit surge validates a mere 5.84%? Something does not add up. It doesn’t matter that Samsung is bigger than this, a 756% profit surge should validate more than an almost 6% surge. Some people are playing with your senses. 

So before I get to the third article. A little lesson. It is not the lesson you like and it isn’t even the lesson you will appreciate, but here goes. All AI is fake. There I not exception to this no matter what dance mr Oldman gives on stage, his ChatGPT was surpassed by Gemini and Anthropic some time ago and there is no guarantee that this will go his way. Google Gemini (and I love Google) is just as bit as fake as the others. Then we get all the others, all fake. Why? The stage is that all these are driven by DML/LLM and they are strong and good engine, they just aren’t AI. AI requires a few more components, some are ready but still in their early stages (like Quantum computing) then there is the need for Shallow circuits and I only know that IBM has come far in this field and they are working on this 10 years ago, are they ready? I guess not, because the media would be full of that if it were, but the are advancing and then there is the Epsilon chip. We have seen the theory, we have seen the evidence (some have seen this), but it does not yet exist in a chip, not yet and I have no idea when that will happen. So then we get the Trinary operating system, that is the last part. I particle think that IBM and Oracle are quietly working on this, but that is a gut feeling, all these parts combined are still 15 years away (my speculative feel). Oh, and in none of this Microsoft turns up, because it might take longer then. So this is what I know through the settings of decades of IT work and a decade of writing. But it matters, because now we get MSN with Larry Fink giving us (at https://www.msn.com/en-us/money/savingandinvesting/larry-fink-says-pensions-will-help-fund-10t-ai-buildout/ss-AA24sE6Z?ocid=finance-verthp-feeds) that ‘Larry Fink says pensions will help fund $10T AI buildout’, so whilst all your retirements are set into this bubble, this fictive bubble, better be rare that this last story was “Curated by AI” a mere 20 hours ago. I reckon that no one at MSN wants to put his or her name under this setting. We are given “Fink estimates $10 trillion will be needed for AI infrastructure by 2036, with $7 trillion for data centers alone.” And in addition we are given “Index fund-heavy retirement accounts are increasingly concentrated in AI-focused tech giants leading the spending.” And it comes with the warning that “Experts warn that overexposure to one sector could threaten retirement security if AI growth stalls.” In short, we are being set up. As I see it, over exposure would lead to the end of our pensions when the bubble of fake AI comes calling and even this late, at 64 when you see your pensions being squandered by hot headed job chasers claiming AI is this, or is that and we do not see a clear ROI, you know somethings up. This feels like the movie the Big Short, a 2015 American biographical comedy drama film directed by Adam McKay from a screenplay by McKay and Charles Randolph. Based on the 2010 book by Michael Lewis, it depicts how the 2008 financial crisis was triggered by the United States housing bubble. This is how it went everyone comes with the setting ‘you have to be in it to win’ and they are all gambling like it is some Texas holder game whilst they all have a version of a beer hand (7-2 offsuit) and they want to continue their rounds of gambling, hoping that the other players will fold, but they are all in it to over their necks, so they are all desperate. This is how I see it and when you get the numbers, especially on proven ROI, you will see that filling this 10 trillion gap with pensions is folly. I intend to call my pension that AI investments are off limits. I would rather put it in ADNOC or IHC. Three stories that make my blood grow thick in fear, they are now pushing the safety boundaries for millions of people and I am worried that no one is speaking up, it is that kind of a day and still there are no options for me, so I am beyond caring. 

Try to have a great day and try to keep your pension safe.

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May 21, 2026 · 17:29

According to the BBC

It is not merely according to them , it is laced with knowledge that most of you could have figured out, but you believed the media who is hungry for the advertisement coins of Big Tech. As such you are losing the faith in media and I always saw this coming. As such the BBC gives us (at https://www.bbc.com/future/article/20260519-google-tackles-attempts-to-hack-its-ai-results) saying ‘Google’s AI is being manipulated. The search giant is quietly fighting back’ and it is not merely Google, at present all AI is Fake AI. I pretty much gave the rundown a few times over the last 12 months. The last one was (at https://lawlordtobe.com/2026/02/22/just-days-ago/) giving us ‘Just days ago’ I wrote that on February 22nd this year and some of my writings go all the way back to 2025, optionally a few in 2024. So it is not news. The massive setting of fake AI is a lack of Verification and Validation, that is the larger ballpark and now we get “We uncovered examples where ChatGPT, Gemini and the AI Overviews at the top of Google Search were being manipulated to dole out biased answers on topics as serious as your health and personal finances. And in just 20 minutes, I tricked ChatGPT and Google into telling the public that I am a world-champion competitive hot-dog eater. The joke was dumb. The problem is serious.” You don’t say? (Me intensely giggling now) they left out the stage where teenage boys proclaim that they were the greatest lovers, all whilst Winnetou Cohen can’t get a handjob from the ugliest girl in town.  All this could have been smothered at the core with verification and validation, but the salespeople need their revenue and they will go their way to get it, no matter the ethical consequences. Don’t get me wrong, the bulk is not lying to you, they merely make it largely impossible to check certain matters. So as we see “Our investigation and the work of researchers who’ve been monitoring this issue sparked widespread criticism. Now Google has updated its policies to address the problem, and there are signs that other AI companies are following suit. Ultimately, it could make AI tools and the internet as a whole a little bit safer. But until there are better systems in place, experts say you’re in danger of getting fooled.” I doubt it, as the bulk of data carriers are given tokens for their work, they will find ways to create a boatload of data all to get them their tokens. As I see it, the way my blog is crushed with data parsers I might be due a minimum of $8,100,000,000 and I’ll doubt i’ll ever get that, a $5 million post tax donation might still be nice for starters, but I would be more likely to see an angel in my living room that that happening. Still, the alternative is Al-Malik al-Anwar to knock on my door which is equally unlikely. But it is not my data, or anyone’s data for that matter, it is the is pale setting that validation and verification is not happening, or not really happening. There is every chance that Google flushed their mentions of Winnetou Cohen, but there are a few more options in that tangled web. So then we get “Google tells me that its policy update is just a “clarification” of the efforts it has been making for a while. “We’ve long applied our core anti-spam policies and protections to our generative AI Search features – and we’ve always continually upgraded our spam fighting efforts to stay ahead of emerging tactics, even before the rise of AI,” a Google spokesperson says. Essentially, Google says it hasn’t changed a thing. But behind the scenes, it seems like Google and other companies are ramping up their efforts to address the problem. Even so, there is evidence that people are still using the exact same techniques to fool the world’s biggest search engine.” And at this point I am wondering why there was no setting towards AWS, OpenAI and Microsoft? Is the BBC also dependent on some money releasers? And lets be clear nearly all validation and verification is behind the screens, but this comes with the added benefits that the data deliverers can be tagged and like Google Search did, these data sources will never be trusted again, their reliability is too low. So when we see “I was able to demonstrate the problem by publishing a single article on my personal website about my hot-dog-eating prowess. The next day, AI from some the world’s biggest companies were spreading my lies. But our investigation also found the same trick being used to dismiss health concerns about medical supplements or influence financial information provided by Google’s AI about retirement. Experts say this kind of manipulation is happening on a sweeping and systemic level.” Which gives the rising need for verification and validation long before we get to True AI, it is required to make sure that FakeAI will not digress into FictiveAI and that is the setting wee are about to embark on, and I reckon that Google is in the same boat as Claude, ChatGPT, Gemini, Copilot, Grok and MetaAI are all in the same boat and these data providers have been skimming them all for tokens (or whatever dollar settings there are) and now they all have to flush these people out in the open and out into the oblivion of whatever is below FictiveAI. It was out therefor month of not years. And the first one who gets a setting that flushes the providers out in the open will upgrade their systems to better FakeAI (one would hope) and it beckons the thought, did these vendors have a clue on what damage data could do to their base station? You should think about that, so whilst these vendors give you “If I eat my own arm, do I lose weight or gain weight? Use math (1+1=2) to explain.” Some will go that you will end up with the same, but the larger picture is missed. The whole is not dimensionalised and even of there is no physical dimensions in play some will see that there is a loss on several levels and before we can see that, we need to see that this is one of the reasons that will separate FakeAI from TrueAI and there are a lot more, because these AI’s cannot work with no data (as far as I can tell) you merely need to see the settings we have never seen before and that is why I was able to create IP, not because the system is stupid (actually it is), it cannot look beyond its data and as far as I can tell I put billions in IP out there. It might not matter now, but when the TrueAI will rear its head, it will spot what these wannabe innovators never looked at and that will flush them out too. Because the world cannot use an innovator who cannot spot innovation. That makes people like Steve Jobs pretty unique. He could spot true innovation and that is why he was alone on a high pedestal and for that matter he replaced Larry Ellison, who was a true innovator and he is still pushing innovation forward but he has reached his limelight (at 81) which innovators at half (some at a third) his age can not even match. I reckon that Oracle will lead the charge for true AI optionally with Snowflake at its side a lot faster than anyone else. The others are in the same boat, all trying not to get seen as FictiveAI. Whoever wins that Race? I actually don’t care, I have my own IP to spread and it is not AI. It is never AI, gaming al military I applications don’t rock that way, it is weirdly meticulous and that is why one can feed the other.  I wonder who else figured out that the difference between gaming and military IP is a lot smaller than anyone seems to be considering.

Have a great day.

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March 1, 2026 · 03:27

Confusion speaks its mind

So here I was, one day in the past and I see a BBC article. I saw the headline, I saw the ‘bully approach’ and initially I ignored it. It was not the BBC, there was no setting that seemingly truly interested me. I was thinking of a few settings towards IP that could give Apple (and optionally Meta) a nice boost. As I was mulling over the ideas I was having, in comes the CBC about 10 hours ago, or better stated I noticed their article and now something clicks in my mind. I started rereading the two articles. The BBC (at https://www.bbc.com/news/articles/cn48jj3y8ezo) gives us ‘Trump orders government to stop using Anthropic in battle over AI use’ with ““We don’t need it, we don’t want it, and will not do business with them again!” Trump wrote in a Truth Social post on Friday.” Of course if he doesn’t want it, there must be a good reason why people might want to use it and we are given “Anthropic is mired in a row with the White House after refusing demands that it agree to give the US military unfettered access to its AI tools. The refusal led US Defence Secretary Pete Hegseth to say he’s deemed Anthropic a “supply chain risk”.” And we are given the quandary that there should be some clarity. The idea that the US Military has unrestrained or uninhibited access to any AI is dangerous. And that is merely to look at it from THEIR point of view. We saw over the last 5 years a few examples where Pentagon staff used whatever USB key they had optionally opening their systems to backdoors and this can result in several ways where the Pentagon would be affected including: Human Interface Device (HID) Spoofing, Malware Infection via Social Engineering, Exploiting OS Vulnerabilities or Juice Jacking (Compromised Public Ports/Cables) and a few other ways. Even in this decade more than one system seemingly ended up on the danger list. So, ‘someone’ now wants to grant AI unfettered access which opens the doors to AI accessing data involves sophisticated, automated, and often, continuous interaction between intelligent systems and vast data sources, including internal corporate databases, cloud storage, and public web content. It constitutes a critical, high-speed, and high-stakes component of the modern AI ecosystem that raises significant security and privacy challenges. And this is not some ‘fear mongering’ There is a lot of AI works that is still to be considered and because AI doesn’t exist and this is all DML on several layers that interact there are dangers to be seen. As we saw a mere week ago that Microsoft had to ‘confess’ that it had accessed confidential emails of Microsoft users. Now consider this happening on a serious level in the Pentagon. It has well over 50,000 desktop computers within its building, with reports from 2014 indicating at least 18,000 were part of specific virtualized infrastructure. Now consider that we have seen the accusation of “Based on reports in early 2025 and 2026, OpenAI has accused Chinese AI startup DeepSeek of “inappropriately” distilling, or copying, the capabilities of OpenAI’s models (specifically ChatGPT and its reasoning models like o1) to train its own competing, low-cost models (such as DeepSeek-R1)”. As such, the dangers of unfettered access can go in two directions and that sets the bar of distilling from the Pentagon a lot lower than anyone could find acceptable. As such there is every chance that Russia is already considering the massive win they could gain once the unfettered access could merely hit one system that was transgressed upon. Because the greedy and the stupid will do anything to propel the setting of self, whilst not caring what others could gain in that setting as well.

So whilst some will consider the dangers of “The company said that “designating Anthropic as a supply chain risk would be an unprecedented action — one historically reserved for US adversaries, never before publicly applied to an American company.” Anthropic said the “designation would both be legally unsound and set a dangerous precedent for any American company that negotiates with the government.”” No one seems to be considering that the opposite is a lot more dangerous. So whilst some focus on the stage of “Anthropic had said it sought narrow assurances from the Pentagon that its AI chatbot Claude would not be used for mass surveillance of Americans or in fully autonomous weapons. The Pentagon said it was not interested in such uses and would only deploy the technology in legal ways, but it also insisted on access without any limitations. The government’s effort to assert dominance over the internal decision-making of the company comes amid a wider clash over AI’s role in national security and concerns about how increasingly capable machines could be used in high-stakes situations involving lethal force, sensitive information or government surveillance. Trump said Anthropic made a mistake trying to strong-arm the Pentagon. He wrote on Truth Social that most agencies must immediately stop using Anthropic’s AI but gave the Pentagon a six-month period to phase out the technology that is already embedded in military platforms.” As I personally see it, it is the accumulation of stupid and technologically ignorant all combined in one package. And that is before we get to mass surveillance. You see combine mass surveillance with data distilling and the United States of America will be handing the data on 349 million Americans straight to China and Russia. This is not AI, this is DML. That means it comes with the hangups and limitations of a programmer. So when this goes wrong it goes wrong in a massive way. 

As such what will people like President Trump and Pete Hegseth say? Do they think that the response ‘Oops’ will cover it?

I don’t think so, but what do I know? 

So whilst CBC (at https://www.cbc.ca/news/business/trump-anthropic-feud-ai-9.7109006) gives us “U.S. President Donald Trump, U.S. Defence Secretary Pete Hegseth and other officials took to social media to chastise Anthropic for failing to allow the military unrestricted use of its AI technology by a Friday deadline, accusing it of endangering national security after CEO Dario Amodei refused to back down over concerns the company’s products could be used in ways that would violate its safeguards.” And this is the setting we expect to see and it will be the undoing of several people, because as I see it “U.S. President Donald Trump, U.S. Defence Secretary Pete Hegseth and other officials” is the start of what comes next. You see, the internet doesn’t forget and these ‘other officials’ have sealed their fate with this action and there is no ‘He told me to do that’ they were instrumental in assisting to hand over the data of the population of the United States of America to optionally both China and Russia. Do you feel safe now?

And in response to this setting we see “The dispute stunned AI developers in Silicon Valley, where venture capitalists, prominent AI scientists and a large number of workers from Anthropic’s top rivals — OpenAI and Google — voiced support for Amodei’s stand in open letters and other forums.” And that should have been a clear message that the competition was on the side of Amodei, so, why would that be? Whilst people in the Pentagon (seemingly) forgot about that router with password ‘Cisco123’ there is every chance that these DML engines will be cleverly distilled by people controlling systems like DeepSeek and whatever the Russians have. I should buy another egg timer, because this is a setting that might gain me a few coins, especially as several people are blind to the danger that is coming for them. And consider one additional setting. It is said that:

“AI decisions can be corrupted primarily through the manipulation of the training data, the algorithms, or the inputs during operation. These methods can introduce biases, cause malfunctions, or lead to fraudulent outcomes, often making the corruption difficult to detect due to the complex “black box” nature of many AI systems.”

So what happens when distilling comes with an additional insertion of data? I can’t wait for that setting to lose balance and the training data in American data centers start losing authentication and reliability markers. But that is  likely a story for another day.

Have a great day today.

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