Tag Archives: Claude

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.

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.

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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The new short is coming

According to the BBC

Confusion speaks its mind

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