Tag Archives: Fake AI

July 24, 2026 · 05:41

Is it real or is it media?

That is the setting, because in my mind when an AI goes rogue I see the gaming example of Shodan (System Shock, 1994) and even then, it was all set in motion by a simple programmer who wanted a nice shiny bauble (a military grade neural interface) so when the BBC (at https://www.bbc.com/news/articles/c3ek3gvdnj3o) gives us ‘OpenAI says its AI went rogue and launched ‘unprecedented’ cyber-attack’, in my mind I merely see Sam Altman, hoping for some limelight and that tends to have media settings. So lets take a look. And don’t forget all AI is fake AI, as such it is started by programmers, that is the underlying truth in all this. It starts nice, with “OpenAI has revealed some of its most advanced AI models went rogue and hacked a start-up after it lost control of them during a security test.” You see, ‘Going Rogue’ means stop following orders, rules, or normal expectations and start acting independently. It describes a person, group, or system that breaks away from a team or authority figure to pursue their own unpredictable course. As such the programming in that setting implies that the instruction to follow its own course was taking shape. Optional it was some military implementation. As I see it, it never “Lost control of them during a security test”, but I’m willing to go with “It had poorly created boundaries and connections” and it got out of its ML loop, driven by DL making it a DML issue. In all this, ML is Machine Learning, DL is Deeper Learning and DML is Deeper Machine Learning (which is a amalgamation of DL and ML) then we get “The ChatGPT-maker said its agent – an AI system which can operate alone after human instruction – was being tested in a controlled environment but, after finding weaknesses, was able to escape the test limits.” Which is fine, but that is still programmer controlled. So as I see it “after finding weaknesses, was able to escape the test limits” it didn’t escape it merely found a weakness as its ML systems were taught to find out and went elsewhere. It reminded my of the 90s hacking setting where towards ‘password’ a clever hacker gave “1=1” invoking the ‘True’ setting. Then we get “OpenAI said the incident was “unprecedented”, and it was conducting an investigation alongside Hugging Face, whose boss Clement Delangue said in a post on X it was “mind-blowing that all of this happened autonomously”.” And the skeptic in me is considering that Clement Delangue was in on it all along. So as we see that Agentic AI’s are also not real AI’s, but it has a complicated setting of libraries and a connected knowhow of what its data gives it, it cannot look into unknown settings as it does not have connected data, but a simple input like “check all channels” will make it check all the channels it can find, even the ones the programmer did not consider. It is not clever, it merely found what a programmer never considered as such it never escaped, the programmer forgot that you can also exit a building through window, not merely a door. Then we get something interesting. “Gina Neff, head of the Minderoo Centre for Technology and Democracy at the University of Cambridge, told BBC Radio 4’s Today programme that the security tests are supposed to be within “secure environments”, called sandboxes, where you can “see what the models are capable of”.” As well as ““In this case, it looks like OpenAI didn’t make a secure enough sandbox,” she added. Instead, the agents created their own cyber-attack against the sandbox itself, finding a vulnerability which allowed them to escape the restrictions.” That sounds logical, but the underlying setting is “the agents created their own cyber-attack” which is what the programmer wanted, it merely wanted it to stay in the sandbox, and that is where the programmer fell short and when the media starts comprehending that the programmer is still the activator and we see this impact, we can understand that OpenAI is merely responsible, there is no going rogue, there is merely what programmers allowed for to happen, but “going rogue” is sexy and gets digital dollars clanking and there is the rub, was this real or is this all media instigated?

Then we get another cry of whatever. With “Neil Lawrence, Professor of machine learning at Cambridge University, called it an “impressive feat”, but cautioned it “falls well within the known capabilities of the current generation” of high-powered AI models. He pointed out that OpenAI is looking to list itself on the stock market, and faces intense pressure from rival firm Anthropic, which has made headlines with its own powerful AI tool, Mythos.” And I am with him on the “OpenAI is looking to list itself on the stock market, and faces intense pressure” and we see the mention of Anthropic, but it is more, OpenAI is allegedly sliding against Gemini (Google) and DeepSeek (China) and I have no idea where the others are. And as I see it the “Intense pressure spots” is what made programmers overlook the limitations that needed to be in place, or perhaps seen as better defined. That is the (as I personally see it) the truth of the matter. 

So when we see ““OpenAI are now playing catch-up, they are trying to demonstrate their own systems’ capabilities in cyber-security.” “It shows us that OpenAI are not capable of safely deploying their own technology,” he added. In its initial disclosure of the hack on 16 July, Hugging Face said it was still assessing whether any customer or partner data was affected and would contact affected parties if necessary.” I can agree with that, because “safely deploying” is programmer territory and I reckon that there will be two minds here, what the customer thinks it is transgressed on (any client wants money) and what the programmer sees as transgressed on (he needs a playable excuse) and that is where it all ends. Because when this comes to blows, it will matter and in all this we see “Meanwhile Travis Lelle, principal security engineer at cyber-security consulting firm Guidepoint Security, said the update marked a “sobering moment in cyber-security”. “This highlights a known asymmetry,” he said. “Offensive agents are unconstrained, while the best defensive tools are locked behind guardrails that cannot understand context.”” Which is interesting as the setting that Travis Lelle gives us is the setting that OpenAI is facing, there is a sandbox setting all whilst the programmer was set towards locks behind guardrails and as I see it, he never explained context to the Agentic AI agent. It makes it Fake AI, because the AI could never see beyond its programming and that made it go nuts beyond the sandbox. It is a slippery slope and it makes a dangerous setting, because what other things did the programmer not think of? Any ML setting can become an expert hacker, because it can do things a million times faster than any keyboard puncher can and agentic settings can merely go nuts on the target, because it will reflect to anything it can push against, like the 80s chess computers it merely goes over everything it has access to, like those chess computers that compute every match it was ever given until the play matches what it needs to and as it goes through 10,000 matches in less than a minute we thought it was clever. And we are making the same mistake again. These systems are fast enough to consider the encyclopedia Brittanica and  consider anything in a few seconds, these systems will act faster than any person clearing its throat. 

So whilst the article ends with “It comes a week after Chinese AI start-up Moonshot unveiled Kimi K3 – a massive new artificial intelligence model it said could rival top US firms.” Which explains the  pressure and we get that, but any system grown to a 1000 times its venture points is not more clever and it remains fake AI, as it merely considers more and it still cannot fathom intelligence that does not hold data, these AI’s are dependent on data, making it (as I stated before) fake AI and until IBM finishes its settings (optionally Google too) True AI cannot come to life and that is the real deal. Some greedy individuals want to call AI the AI, but without the Epsilon processor it will never be, because all this is set to binary fields and that makes the loopholes more and more realistic (and larger), but it is not. As I see it, someone will push one border against the next border and enable players like organized crime to get the entire bucket of data, all the data out there and that is the reality we all face. 

So I have a few questions in all this and it seems like the media is all whistling the same tune and that is more scary that anything else, because are they not willing to look elsewhere, or are they told to look in a specific direction? It is a simple question.

Have a great day

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July 16, 2026 · 17:37

Casual connection

In the last 24 hours I saw two articles, they might have some casual connection and I leave that up to you to decide. First up we get an article with the staged setting of ‘Why Muslims Will Suffer Most When The AI Bubble Bursts’ (at https://www.islamicfinanceguru.com/articles/ai-bubble-muslim-investors) the first thing going through my mind is that you need to get out before disaster strikes. Get out when the going remains optional, and I would personally phrase this setting that those ‘money diggers’ make claim that you are not a pussy, make sure that he is not tying his benefit to your welfare. Because those who need your money have their own agenda. So as I read “In the late 90s, everyone was piling into internet companies. The stock market was booming, and it felt like free money. Then in 2000, it imploded. Companies worth billions became worthless almost overnight, and an estimated 100 million everyday investors lost a combined $5 trillion. Now people are worried AI could be the next bubble. And if they’re right, Muslim investors could be hit the hardest, even though most of us don’t realize it yet. Here’s why, and what every Muslim investor should be doing right now to prepare.” With additional “Over the past few years, the stock market has been on an absolute tear, and almost all of it has been driven by a handful of companies: the Magnificent Seven, Microsoft, Apple, Nvidia, Amazon, Meta, Alphabet, and Tesla. All making big bets on AI. Share prices going up isn’t itself a problem. What makes people nervous is the valuation. Take Nvidia. It’s now one of the largest companies in the world, and investors are giving it a price-to-earnings ratio of around 50. That means at current earnings, it would take 50 years of profits to earn back what you paid for the stock today. That’s an enormous amount of faith in future growth. That faith might well be justified. These companies are genuinely transforming industries. But history tells us that when the story gets ahead of the fundamentals, eventually something snaps. We’re not saying it will, but it’s worth asking: what’s the most fragile part of this whole thing? What’s the single point of failure? Because there is one.” And there is one that beckons reading (the link is at the beginning) and I agree with him. But the one thing that I take from the rest of that story is ‘acknowledge the concentration risk’ there is a downside of that, when it goes, it goes almost spectacularly (the investors don’t think out is spectacular) but I have other things against this AI setting, because from my point of view all AI is Fake AI. (Read my other works for elaboration, merely go see Google and ask: 

Lawlordtobe + “AI” + “AI bubble”

You should get over a dozen articles bringing this out and it merely my personal setting, but I believe that is an almost pertaining truth in all this that no one wants to acknowledge. When you come to the end of that rainbow, which did not start at a pot of gold and does not end with a pot either, you see why I believe that this is coming to an end (and right quick). Don’t get me wrong, I believe in DML (Deeper Machine Learning) and LLM (Large Language Models) these are strong tools and a lot more will be coming from this. But it al all down to the knowledge of the programmer and it just isn’t AI, not even close. So I did not give the Muslim investor much rope. I am not Muslim and I have never been an investor. Not even close, I am not even an early adopter. So whilst we now see Sam Altman in quotes all over the internet from ‘Sam Altman: ‘It also takes a lot of energy to train a human’ — a staunch defense of the cost of AI training’, so if this was real (read: true) AI, what did he have to defend? Then there is ‘“Thought It Was Satire”: Sam Altman Takes Dig At Anthropic’s New Ad Amid Online Backlash’ where we are told that:

“Anthropic’s latest advertising campaign, “There’s Hope in Hard Questions”, was designed to show that the AI company is willing to confront difficult questions about artificial intelligence and its potential risks. Instead, the ad has sparked widespread criticism online, with many viewers describing its tone as unsettling, creepy and overly bleak.” 

As I see it, some people are starting to crying about the still missing ROI and that is not even getting close to the fold whilst some give us 

“AI Return on Investment (ROI) is highly debated and highly variable. While many companies report time savings and efficiency gains, a large percentage of executives struggle to see direct, bottom-line financial returns due to high infrastructure costs and a lack of proper workflow integration.” 

All whilst the ‘highly variable’ is driven towards a timeline which is (by some) decades away. As such some need to worry when they are given the image of a Cadillac, whilst they are buying an Edsel. This might not be completely accurate, but it is what I see. When the court cases are driven towards that the setting that “DMLA Submission to the US Copyright Office argues against rash “data mining laws.” They state that because a robust licensing market already exists, creators should not be forced to subsidize AI technology by allowing free text-and-data-mining (TDM) exemptions” and when you are at this point, you are likely to lose a massive bundle ofd your investment. All whilst the Tech Policy Press gives us that:

“A dedicated legal database known as the AI on Trial dataset has tracked at least 500 cases globally across 39 countries, encompassing intellectual property, privacy, discrimination, and platform regulation”

Sounds like a good place to keep your investment, because when these cases settle (I’m hopefully hoping for some coins from that equation) you are done with whatever you thought you had. But (there is always a but) there is an optional outcome and it was given to me at (https://maritime-executive.com/article/uae-plans-to-build-a-new-jebel-ali-to-bypass-strait-of-hormuz) by the maritime executive. With the headline ‘UAE Plans to Build a New Jebel Ali to Bypass Strait of Hormuz’ with the setting that UAE had left OPEC, they might be sitting pretty on some coins and that place might need investment. As oil is a commodity that the planet needs, there is every chance that your optional investment goes back from 50 years to up to 5 years with a decent spillage of coins coming your way. So when we read “The Financial Times has added to a number of reports that the UAE is planning to expand its port and freight-handling capacity on its East Coast, accessing the Gulf of Oman and bypassing the Strait of Hormuz. The Financial Times says that DP World is planning not only to build an entirely new port on the Fujairah coast, but also to expand capacity at the existing Fujairah container terminal. It is not clear what coordination arrangements DP World has made with the existing Fujairah terminal, which is operated by the AD Ports Group under the brand name Fujairah Terminals, following the signing of a 35-year concession agreement in 2017 with Fujairah Ports, which in turn is controlled by the Fujairah Al Sharqi Royal Family.” It is my firm believe that these players would accept Muslim investment and that means the setting that you might come out as a winner, because this place outside of the Strait of Hormuz would give the UAE (read: ADNOC) give a larger setting of up to 5,000,000 barrels of oil per day with the small grocery customers like India, Australia, Indonesia, Japan and China. It feel (read: me is not being an investor) like an almost sure thing and that tends to breed opportunity. And whilst we are given “Plans are already afoot to speed the completion of a second crude pipeline to parallel the Habshan–Abu Dhabi Crude Oil Pipeline (ADCOP), doubling capacity from 1.5 to 3 million barrels per day. Fujairah Ports also operates a bulk products terminal at Dibba, on the border with Oman’s Musandam Peninsula, and Dibba has also been slated for development and upgrade.” It might allow the UAE to double that doubled setting, which is personally vision, not fact based analyses. But in this, Muslims investors are likely to see another opportunity, they might move out of that Fake AI setting whilst the leaving is good. But don’t take my word for that, it is a mere view coming from academic and personal vision on IT and a personal view on where I see the world going and I have more than 500 reasons for my views and those 500 reasons are the most likely dampers on your return on investment. #JustSaying

So, have a great day today and I am on route to kill a few Metroids, because those critters are getting out of hand on my Nintendo Switch.

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July 15, 2026 · 01:31

What a surprise

So, before I get you to the article, I want to reiterate my position. I did this a few times and here it matters. You see, on May 31st 2025 I wrote ‘All Dressed Up’ where I gave you ““The United States could experience a loss of $21 billion in tourism-related revenue this year if current trends continue, according to estimates by the U.S. Travel Association. According to the trade group, every 1% reduction in international tourist spending represents an annual loss of $1.8 billion for the U.S. economy. Furthermore, experts indicated that a strong U.S. dollar could be driving away international visitors.” Even though only Canada is ‘sifted’ out” I had some issues, because the numbers were seemingly giving added ‘benefits’ to the economic settings of this administration. And now we see CBC giving us (at https://www.cbc.ca/news/politics/cross-border-travel-down-dramatically-research-9.7198652) ‘Travel to the U.S. is down even more dramatically than we thought, data shows’ where we are seeing “While official Statistics Canada figures show a roughly 25 per cent decline in Canadian residents returning from the U.S. last year, cellphone data compiled by researchers at the University of Toronto’s School of Cities found that the year-over-year drop in cross-border trips was closer to 42 per cent.” Which is a nice sidestep and the University of Toronto has proven themselves more than once, so I am excepting this setting. This means that the numbers were off by over 15%, which gives my settings (and decently speculative) a new wave of reliability. So whilst we ‘accept’ the numbers we are also given “They found the decline was even more dramatic in some warm weather locales that have historically been hot spots for Canadians fleeing winter weather. In Myrtle Beach, S.C., the number of trips by Canadians was down 65 per cent year-over-year, according to the cellphone data, giving it the dubious title of the metro area with the steepest drop. In the Florida cities of Panama City, Orlando, Cape Coral, Miami and Naples, the number of Canadian visitors fell by 50 per cent or more. But cratering demand wasn’t recorded only in those sunny destinations. Trips to San Francisco, New York, Ann Arbor and Grand Rapids, Mich., Boston and other business centres have also fallen by more than half, according to the data. In fact, of the 267 U.S. metro areas analyzed by researchers, only three — Cleveland, Portland, Ore., and Gainesville, Fla. — showed an increase in visits by Canadians last year.” What a lovely way to powder a message. Canadians kept up their promise that they were sick and tired of the 51st state setting of the United States by showing a massive decline to well over 250 U.S. metro areas? That should suck to the economy of the United States and I reckon that some people in this administration long before the Tuesday, November 3 moment has come to the calendars of all American voters and as ‘they’ say, every citizen is a voter at that point. So as the USA Today gave us yesterday (at https://www.usatoday.com/story/news/politics/elections/2026/07/13/trump-federal-control-midterm-elections/90840111007/) ‘Trump moves to tighten federal control of elections ahead of midterms’ there is a setting that the drop in tourism will have every citizen of the United States livid. So whilst we are given “The president says he’s trying to prevent cheating, but Democrats argue he’s actually putting his thumb on the scale for the GOP by trying to block Democrats from voting.” Which is likely to be a repeat from 2016 when ‘O’Reilly’s Proof That Voter Fraud Exists Was Debunked On His Own Show Four Years Ago’, it is all kids of mean that I figure on using the words of a dedicated Republican to whistle back the BS from a republican administration. And we were given “Fox News host Bill O’Reilly argued that Mitt Romney’s failure to receive any votes in the 2012 presidential election in 59 divisions in Philadelphia was evidence that widespread voter fraud exists presidential elections. This claim was investigated and proved false on O’Reilly’s show one week after the 2012 election. O’Reilly invited lawyers Kimberly Guilfoyle and Stacy Schneider to discuss the prevalence of voter fraud in presidential elections. While both Guilfoyle and Schneider agreed that voter fraud is extremely rare, O’Reilly pointed to “reports in Philadelphia that nobody voted for Romney” as proof that voter fraud exists and asked if these reports have been investigated. From the August 16 edition of The O’Reilly Factor: O’Reilly himself investigated and debunked these allegations in 2012. Following the election, O’Reilly hosted Fox’s Megyn Kelly to investigate the “shenanigans” and why Romney got zero votes in a number of Philadelphia divisions. Kelly explained that “the same thing happened to John McCain” in 2008 because “the divisions with the unanimous Obama votes have large black, inner-city populations.”” 

So will this be a repeat of what we saw in 2016, and with the population of 250 U.S. metro areas extremely likely to be livid, what chance does this administration have? So whilst we return to the story and visit “In an interview with CBC News, Karen Chapple, the lead researcher and director of the School of Cities, said the drop in tourism to popular destinations like Orlando, as well as border communities like Buffalo, N.Y., has been well-documented. What her cellphone data makes clear is that the Canadian boycott is affecting cities both big and small across the States — and it’s not just leisure travel that has dried up. The self-imposed travel ban has extended to high-tech, financial and industrial centres, signaling that cross-border business and trade patterns have fundamentally shifted over the last year. “I have been using the word ‘sea change,'” Chapple said of the data she and her team uncovered. “And the places most impacted by the tariffs are also the ones most affected by the loss of travel,” she said, pointing to some Michigan cities like Flint that have trade ties to Ontario’s auto sector. “These declines are really tied to the composition of the local economies.”” A setting which my (decently speculative numbers also looked at) you see, there is a lot more to the spending of an international traveling person. They often fro not know certain things, or they might see it as impolite to use certain settings and this would have impacted local businesses a lot more. Like the local B&B places (to name merely one) and none of those earlier numbers would have seen that and now we see that there is a 15% gap between what was and seemingly what is. 

It is at this point where the CBC setting matters. As we are given “The U.S. Travel Association last year said a 10 per cent drop in Canadian tourism would cost the American economy about $2.1 billion US. If Chapple’s data is an accurate reflection of what’s going on, that means Canadians holding back on U.S. travel may have cost the economy about $8.4 billion US and counting. Speaking at a progressive political conference last weekend, Prime Minister Mark Carney applauded Canadians’ efforts to stand up to the Americans as the trade dispute with Trump drags on.” And now I get to gloat (just a little) and my story given on August 30th 2025 called ‘Vindication of a sort’ (at https://lawlordtobe.com/2025/08/30/vindication-of-a-sort/) where I stated 

“I speculatively expect it to be at least 80 billion” that was over two weeks ago. Now MSN gives us ‘Study Warns Trump Tariffs Could Deliver $64 Billion Hit to U.S. Tourism Businesses’, I reckon that when they start considering the bankruptcies in Florida and California are added, they will get a lot closer to my 80 billion”

So my speculation was hitting reality on nearly all thrusters and whilst bankruptcies are on a high in Florida (44,496), which dwarves the previous year (which had 32,933) and these numbers are set to May 26th 2026, as such these numbers are most likely to rise and taken that the CBC gives us alternative numbers, that jump might be a lot and I speculated it over a year ago, that is before we look at California where we see ‘California personal bankruptcies up 15% in a year’ (source: East Bay Times). The story they have comes with graphics, which are (especially for Canadians, fun to behold at https://www.eastbaytimes.com/2026/06/02/california-personal-bankruptcies-up-15-in-a-year/) It gives me that Texas with its 20% is still a states to consider and considering all these families renting out part of their house on a B&B setting are likely to be all personal bankruptcies. When you add all this up, you might start seeing the settings I say in 2025 because this all was set to Canadian impact, whilst I was looking at the larger international community that had enough of Trumpisms and I also considered that the Commonwealth nations might stand with Canada and select Canada as the destination for the next few years. That speculation is seemingly holding water as well, as such the United States has a real problem until deep into 2029 and with the Middle East exploring their tourism settings (especially the UAE) that hardship is nowhere near done. 

So some might see this as ego boasting, but there is no ego in place. I merely saw the numbers behind the numbers and I saw a trend evolving and I have been doing this since 1992, so I have a few markers that have been seeing the test of time. My ego does giggle at the simple fact that I was more on the nose with these numbers than all the fake AI in the land. So that part is gloating boasting and all kinds of nearly negative settings. I don’t have to give space to fake AI, it is that kind of a day today (at it is Wednesday 01:10 here), it sometimes suck to be a Fake AI, doesn’t it?

The article has one source “Barbara Barrett, executive director of the Frontier Duty Free Association, a trade group representing the mostly family-owned stores that dot the Canadian side of the border, said the steeper drop-off figures are more believable than the StatsCan data, based on how badly sales have plummeted at some of her members’ outlets.” Yes, I never considered that, but Canadians tend to buy the Canadian articles they know, as such that group is also facing dwindling numbers. For them I do feel sorry, but it is part of the whole.

So as I go to bed with a gloat, I wish you all a great day, my Wednesday ‘officially’ starts in less than 300 minutes.

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July 10, 2026 · 22:16

Is it the water level?

Yup, we are all in that setting, but are we merely waving to the music of Debbie Harry or are we watching the waves from the shorelines. That is merely two options, but when some say that the tide is high, they might be referring to bubbles, the AI bubble to be more precise. I am not some economist saying that bubbles are blasphemy and I am no economist, but I have looked at numbers for decades and the numbers we are given do not add up, and when I was watching Inside Job something hit me, there was a familiar pattern evolving, not evolving, repeating is a better word and I have been saying this for some time. Yet today, a mere 10 minutes ago I see ‘UK Places Microsoft, Google, Amazon And Oracle Under Financial Oversight’ (at https://www.businesstoday.com.my/2026/07/10/uk-places-microsoft-google-amazon-and-oracle-under-financial-oversight/) where we see “The UK has placed Microsoft, Google, Amazon and Oracle under direct regulatory oversight after designating the cloud service providers as critical third parties to the country’s financial system. Reuters reported that effective July 13, the designation covers Microsoft Ireland Operations Ltd, Google Cloud EMEA Ltd, Amazon Web Services EMEA SARL and Oracle Corporation UK Ltd, reflecting the financial sector’s growing dependence on cloud infrastructure”, so whilst the story ends with “The designation will bring the four technology firms under direct regulatory oversight as part of efforts to safeguard the stability and continuity of the UK’s financial sector.” And it comes after we were given (at https://m.au.investing.com/news/stock-market-news/oracle-stock-shrugs-off-sp-downgrade-to-bbb-but-120b-debt-shadow-looms-4526441) where we see ‘Oracle stock shrugs off S&P downgrade to ’BBB-’, but $160B debt shadow looms’ where we see “Oracle Corp. (NYSE:ORCL) shares managed to gain 2.7% on Thursday, defying a credit rating downgrade from S&P Global Ratings. While shares edged slightly lower from their midday highs, the tech giant still traded firmly in positive territory. Investors chose to focus on Oracle’s staggering $638 billion backlog of cloud contracts rather than the immediately apparent threat to its balance sheet: S&P downgraded Oracle’s long-term issuer credit rating to ’BBB-’ from ’BBB’, retaining a stable outlook.”

Now, I am not having anything against Oracle. They have always been on the foreground of technology and innovation in its field and it is unlikely to ever change. But there is a larger setting, the entire AI bubble as I see it, it will hit them too. They all over invested in that setting and they are likely the biggest catchers of the implosion of that event. But I am still in arms over ““The official position of the Secretary and the U.S. Treasury is that Artificial intelligence will be a key driver of America’s new Golden Age,” the spokesperson said. “AI has the potential to deliver unprecedented productivity gains, expand economic opportunity, and empower American workers and businesses.”” You see, there is no golden age, there is no AI, not yet at least. There is DML and LLM and they are great, they can hand innovation and prosperity in several ways. It merely isn’ AI and that needs to be said, because soon the class actions will go for the “It’s AI and we cannot really predict what AI does” but it isn’t, it is DML and that requires a programmer, it requires data and these two hinder stones are the backdrop for prosecution. Only last week we were given ‘Anthropic Faces a New $75 Million Lawsuit for Pirating Books to Train Claude AI’ and less than 24 hours ago Harvard Business Review ‘You Outsourced the AI—but you still own the risk’ where we see “As enterprises increasingly embed third-party systems into their workflows, technological risk has led to new legal and operational responsibilities. Leaders may have little visibility into how a model was trained or how it changes, yet when it discriminates, mishandles data, or harms a customer, regulators and plaintiffs often look first to the company that deployed it. Peloton learned how that exposure can arise. Visitors to its website see a familiar invitation to “chat,” powered by a third-party vendor. According to a class-action complaint, the vendor recorded and stored conversations and used the data to improve its machine-learning models. Peloton neither built nor trained the system. Even so, a California federal judge allowed a claim against the company to proceed. The parties later jointly dismissed the case, without publicly disclosing the terms.”

Now consider the amalgamation of these factors (apart from some saying there is no bubble) there is (allegedly) “Worldwide spending on AI is forecast to reach $2.5 trillion. Venture capital and private corporate investments in AI firms sit near $258.7 billion globally, with over $750 billion in dedicated infrastructure and data center capital expenditure from major tech hyperscalers” we then see that the big players (Microsoft, Google, Amazon, Oracle) are basically overextended, facing class actions and all of them are looking at all sorts of financial hardship, because at some stage all these players will be made to rephrase the simple truth that AI is not DML/LLM, it requires more and when the programming is put under a loop that setting comes crashing down. I saw it two years ago that this is the only outcome in some sales people overselling what they had and the simplest setting is not a mere Quantum computer. It requires shallow circuits and what I tend to call The Epsilon processor. True AI cannot exist in a binary setting. The last one is my interpretation of it all and some might disagree. But the Epsilon processor allows for Null, False, True, Both and it is the Both part that makes true AI possible and of course a matching operating systems will be required as well a data carrier and in that case Oracle and Snowflake have the grounds for success. As I see it, all others will fall behind these two. 

And last month we were given that “400 newspapers sued OpenAI and Microsoft for scraping their content without permission or compensation to train artificial intelligence programs” even my data has been scraped. So how many will be successful? How many will fail? I have no idea, but the odds are decently stacked against these salespeople. And as the courts rule against these Fake AI bringers (as I see it) there will be a rush of people making a case, all who were sold AI (without clear DML/LLM settings in their contracts) are seeing their pupils transform into dollar signs and they will try to clean house. So when all these settings happen, is the stage for a bubble that far fetched? 

I am watching and watching and noting what is due. I reckon that at some point I get the one piece of evidence that will allow me to do just that, 2700 (out of nearly 4000) article scraped seemingly give me an optional case for some dollars (five million plus would be great). And I am not the greediest player in town. So at what point will the investors of $2.5 trillion ring the bell wanting to see payment for their investments? Goldman Sachs gave us last month ‘The AI Investment Boom: When Will It Pay Off?’ With “The economics of artificial intelligence are more questionable today than two years ago, says Goldman Sachs Research’s Jim Covello, as enterprise buyers, model companies, and hyperscalers have yet to show returns on their spend. In a conversation with Alison Nathan and George Lee on Goldman Sachs Exchanges, Covello discusses where we’ve seen economic value accrue to date and why semiconductor companies can’t continue to be the sole beneficiaries of the AI buildout.” As such we see people with serious economic skills worrying and wondering what comes next and I was there at least a year ago. So when will others see the doubt that I am seeing? The money people call the bubble a blasphemy, but they have vested interests. I do not. I merely see the flaws on technology that is at least 15-20 years away, data that is largely unvalidated and unverified and at this juncture people are investing trillions? Makes me all tingly that too many people are greed driven and too much vested to be part of a boom that does not exist, just like the settings of 2008, Inside Job showed that clearly and it seems that we have a similar setting evolve at least two times the previous caper. So if you consider that with all the reserves that hit took the economy 2 decades to fix and at present the reserves are gone, so what will happen now? Why aren’t others taking the stand the UK is making? Because others are in the believe that “America’s new Golden Age” is here? When you realize that it will take close to two decades to arrive, how long until too many investors pull the plug and go somewhere else? What will happen then? That is what I see coming, because at some point more and more people wake up, this is bound to happen, it always does.

So is the water high enough? Have a great day.

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June 30, 2026 · 10:28

Ehhh Eye Vee Vee

Yup that is the setting I found myself in, but I need to explain it via a small detour. This is not about that bubble, it is about something that will instigate that bubble and the businesses ad corporations that are in the setting that they are pushed into. As I see it, it benefits me, but about that later. So I saw a few articles pass by, the first one being (at https://www.abc.net.au/news/2026-06-30/ai-boom-big-tech-investment-drain-market-volatility/106857426) where we see ‘Are the wheels falling off the AI investment boom?’, the article is average, but there was one part that stopped me in my tracks. It started with “Huge amounts of investment, trillions of dollars, have been thrown at AI, initially into model development, then semiconductor and cloud computing and now into hard asset build-outs with data centres. They, in turn, require vast amounts of energy and water. And that’s where the newest set of problems begin.

While the race to develop the technology has been a sprint, little thought has been given to the problems and constraints associated with the rollout. Now, suddenly, the brakes are being applied.” With gives us the added “The tech giants funded the early stages of AI development with the vast amounts of cash they were throwing off their existing operations. The more they spent, the more investors loved them. But their vast capital requirements combined with rapidly rising costs have forced them to tap credit markets. Instead of spare cash, they’re now raising debt, which ramps up the risks dramatically. And it’s only likely to increase. Research firm Gartner estimates global AI spending will hit $US2.6 trillion this calendar year, while Goldman Sachs estimates a further $US7.3 trillion will be spent by the end of the decade, much of it on data centres. And that’s the problem, according to Swissquote’s Ipek Ozkardeskaya. “These huge investments are also draining big tech’s free cashflow, obliging companies to take on more debt and putting their valuations under pressure,” she says.” The one takeaway is “more debt and putting their valuations under pressure” so why the rest? Well it is a decent setting of the why things are given to us and that is not merely the stat, the start is in the second article that is related on very different grounds. You see, (at https://www.clinicaltrialvanguard.com/opinion/benchmark-scores-dont-break-clinical-reality-does-the-health-ai-readiness-illusion/) we are given ‘Benchmark Scores Don’t Break. Clinical Reality Does. The Health AI Readiness Illusion.’ They give us the missing part. It is seen in “The January 2024 draft guidance created accountability structures around change management and post-market surveillance. It did not create a standard for pre-deployment adversarial evaluation. The Nature Medicine paper, read alongside the Cisco adversarial benchmark data, is essentially the field publishing a gap analysis that the FDA has not yet written.” So we get the first stage is “more debt and putting their valuations under pressure” and now we add “a gap analysis that the FDA has not yet written”, so before you dismiss this, consider what I have written why I consider all AI Fake AI. The parts that we are seeing is “What has not been written (consider: seen) yet”. You see, I have been involved with technical support and customer care for over a decade, and at the centre of the failures we are about to see is the lack of Validation and Verification. So whist these young upstarts are saying “We’ll correct that on the flip side”, consider how many failures will make you dump the product you have for all time and seek an alternative? These three parts is what makes a product lose nearly all credibility. For me it spells great news. It might not be today (which would be great) but in the very near future, these people who dumped staff will realise that the knowledge of their corporations went out the window, so they will need to train a whole new generation and in technical support you are lucky to get one in three (some say one in five) that embrace the support side of things and now see where the “more debt” parts will make this change expensive beyond believe (for them) and whilst they are looking for a neat gap to hide in, these young upstarts (to give it a name) will figure out that they weren’t told the whole picture and that is where validation and verification will bite all those who ignored it. 

I think that House MD (Hugh Laurie) got close with “Everybody lies”, it isn’t completely correct in this case, it is “Everybody merely thinks in his own lane and disregards whatever is beside them” and that is where debts and their valuation will strangle them like a chain lacking length around their necks wielding a 45000 lbs anchor, Have you tried swimming with that? Believe me, it isn’t a pretty sight for the swimmer (for as long as that person can hold its breath). That part should be clear at this point. So consider all these corporations cutting staff to the bare minimum and continuing on this disastrous setting. This is why I foresaw Microsoft (having a massive amount of products) getting into a larger stage. They are cutting in their Gaming division and in April we were given “Microsoft will offer voluntary retirement to about 7% of workers. The company is also closing about 6,000 open roles” it isn’t that they are ‘humane’ by sending these 6,000 people (or a large chunk of this)  into voluntary retirement, it is that their knowledge was send home and their fake AI is dealing with validation and verification to a larger extend, now consider the copilot issues they have and someone stating that AI was doing their work for 30% (it was Satya Nadella) now consider that over the last few weeks we had all these issue brought to light. So how much credibility is that 30%? It is not 0%, because some parts can be decently done with Deeper Machine Learning (and optional Large Language Models) but when 10% is thrown out of the window and you are bleeding knowledge and your systems are buckling (for lack of a better term) what will be left of your $2,740,000,000,000 capitalization? I reckon that some adjustment is coming quite soon to Microsoft and they are not alone. All who steered this dangerous path will see this coming their way (whether you use copilot or not), so do not think you are safe with Anthropic, ChatGPT or Gemini. The centre piece in all this is Validation and Verification and too many used Reddit to get their numbers up (who checks less than 3% of all data), which implies that 97% is dangerously lacking creditation (is that even a word?). And I saw this coming a mile away. It was easier for me as I speak a multitude of languages and I got my job in 1992 over a misunderstanding. It was for SPSS (Statistical Package for the Social Sciences) they asked me what a Standard Deviation was and I (with some pride) states “It is the difference between true nor and magnetic North altering a few degrees eastward on an annual bases” It is, but that was not what the interviewer meant. Still I got points for original thinking. That is one of the validations missing in everything. Terms are all accepted globally whilst there is a localised exception, that is with the best of validations in place and it goes down from that. I gave an example That Eric Winter (the actor is a god) (at https://lawlordtobe.com/2023/07/05/eric-winter-is-a-god/) on July 5th 2023. So how many played a role before they were born? Or when they were still a toddler? That is the verification setting we see slamming the hammer and miss the bell completely and that is Google who messed up. So when they do, what chances to non-data savvy companies have?

And that was all in English, so consider the issues that you have when languages are introduced. I (with giggles) point to a Knolleland (dutch: field of beats) towards the Swedish version where it can be seen as a fuck field (the 18+ version) and that are merely 2 versions. So in all this verification leading to validation is out the window. As I see it, for me with all these years in technical support and customer care will get a few offers in the near future (I can hope can’t I?)

As such I have made my case once again that at present all AI is fake AI and that is before you consider the issues that I illustration (the last time, at https://lawlordtobe.com/2026/06/01/the-new-short-is-coming/) in ‘The new short is coming’, so you wanna hedge your best on me being wrong on that bubble? It would be your money, so I don’t care hat you do, but I am keeping my retirement funds far away from that mess. So you all have a great day. I wish I was in Toronto, its dinner time there and with that the idea of a yummy pizza at Eataly is invading my mind now.

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June 27, 2026 · 21:00

The next stretch

In continuation of yesterday’s story, it is time to die you the next part. There is no news. As I personally see it, the news has become a much larger soapbox for big business and politicians. As such I can weave my own yarns and likely more entertaining. So where was I? I ended yesterday with 

“His mind felt around the direction where the pulse was from. He was feeling something, but he had not felt this in centuries. It was time to find what was happening.”

The sensation was coming from the north north east, far beyond Ad Durar Street. He walked towards Yas Mall and decided to walk into IKEA. He walked into the restaurant and ordered the Salmon Teriyaki with Mango salsa, sparkling mineral water and a large coffee. He put 4 notes of 20 dirham in the hands of the lady and got some coins back. He needed and sat at a table by the window. There was not anything owe could do, but now he had a better feel of what was happening and the mall was not in the way of any interrupting feelings. He concentrated and viewed the people with his other sight. There was nothing out of the ordinary of anyone he could see, whatever this was, it would have a dark aura, optionally bordering on black. With every bite and sip he took, he was looking to the people in the back, even there, there was nothing to show him what was the cause. The weird thing what that he had not felt this feeling in over 15 centuries.  And this kind of power does not usually hide. It was more common in the 5th century when the Jinn were a lot more common than they are now. But they might be hiding in the folds of safety. Still. He had not felt this way for a long time and if there is a new player in town, he had to know. 

By the end of the meal, he had another blip, it felt like to was around Noya Luma. As such he decided to walk there. It took him around 45 minutes. He was taking his time to scan and see the people he did notice. It was more of a community, so the people were weary of him, they had not seen him before and after a while a person walked up to him and said “hal yumkinuk musaeadati min fadlika?” Apparently the man needed help. He nodded and followed him, his mind saw that there was no one to see and no cameras. The man wielded a knife and pointed it at him “Your money, now” He saw this coming a mile away and he smirked, the man pushed the knife towards his chest and he grabbed the hand holding the knife with his left hand, his right hand went around the neck of the man. His concentration told him that he was out of sight in every way. He felt the ring on his right hand. And he squeezed a little more and the next second the man was turning to ash, the power of his strength had evolved over the centuries, as such he was very blessed to turn this man to ash, even the bones dissolved, the calcium lost its coherence on the spot and he went away in a cloud of ash, the ash fell to the ground, but he knew that the smallest breeze and some water would be all that was needed to remove whatever evidence ever existed. He saw a few items, which he left where they were. The knife he would cast in some trashcan the first moment he found one. He continued on his route and when he arrived, he saw nothing of worthy, but he noticed a Starbuck sign and decided to sit down, have a sandwich and more coffee and feel the surroundings. 

When he got his coffee with a dynamite chicken sandwich and sat down, he could relax for now and feel what more could be coming his way. He was sitting for at least an hour when he felt the air change. It was what he expected, it seemed to be a jinn, but not a normal one. Darker and a lot more dangerous than he had ever seen. He saw none of the people that gave the vibe, but then he saw it, the aura was none existent, a weird setting, but it made sense now. It was not a Jinn at all, it was an afreet and not a normal one. He was seemingly a lot stronger than anything anyone in his larger family had ever faced. As such, he was not going to approach it now. He watched the man and saw the man was fitting in, not wanting to stand out. He liked that, because an afreet is normally full of chaos and destruction. This one was different, but he was not taking any chances. He then felt a larger different pulse, not anything he had ever felt, it felt Egyptian in origin, but he had no idea who it was, merely that it was massively old, older than he had ever felt. Optionally older than his grandfather, which was the weirdest of feelings. His grandfather was here before mankind was, so if it was older. What was it?

He binned his trash and walked back. Time to get back to the hotel, but the idea of getting food at that Rainforest cafe. The lamb mandi meal radiated with appeal and he was getting hungry. He was walking towards the Mall when he suddenly felt weird, his senses alerted him and he felt the afreet right behind him. No-one had approached him unfelt for centuries. He stopped and turned around. The man looked at him. Who are you? He asked. I go by the name Lavrinthi. And you? Let me introduce my self. I am Al-Malik al-Aswad, I am also known as the black king. I noticed you Olympian, but you are not really Olympian, are you? There is something different about you. Lavrinthi looked at the man. The other filing was not you, was it. Lavrinthi shook his head. I seems Egyptian, but I never felt anything like that before. The man nodded. I will let you leave now, the afreet turned around and walked away. Lavrinthi looked at the afreet walking of and went towards the Mall. Time for some diner and time to consider what he had experienced. He considered his options and decided to take another path. He decided to see if the afreet would approach him, or if he would keep his distance. After his meal he stopped at a coffee place and had another coffee. Time to get back to that Warner Brothers hotel, he was so looking forward to the breakfast they serve, but that will come after the night he has coming and it would be time to erect a very different kind of protection, because he had not experience anxiousness in many centuries and getting approached unseen was a really new experience for him.

What happens next? See another day, the next installment might come in the next few days.

Well this part is also for ADTV (or its parent Abu Dhabi Media). Perhaps they like it, perhaps not. I am getting my creative soul fed and that is good for me, a lot better than weeding out BS from optional BS, which is how I see a lot of the media exposure. And when the Financial times is giving us ‘Trump administration asks OpenAI to stagger release of new model to vet users’ as well as ‘Trump administration allows some access to Anthropic’s Mythos’, so whilst some people are considering that “Unease over Washington’s ad hoc regulatory approach remains.” And in all that time no one is considering that it opens up the European markets for DeepSeek and whether the next part is real ‘Microsoft Now Wants Users To Adopt Chinese DeepSeek AI After Failure Of Copilot’ (source: Channel News) is unknown, but that is opening a few Chinese walk ins into the west. The status? I have no idea, I honestly don’t. But some are saying that the race between China and the western AI markets are much harder to see and I get it, but what happens to that famous ‘Big Beautiful Stargate’? Consider that this is a $500 billion market being poured in a second or third placement and as I see it (and written about several times) set for a non-existing AI, or as I prefer to call it a fake AI. So we see a massive public-private AI infrastructure venture aiming to invest up to US$500 billion to build the world’s most powerful AI data centers and Europe and optionally the Commonwealth as well are setting up Chinese walls (a happy coincidence expression) against United States data centers. So, investing that much in data centers that are keeping track of a population of 349 members of the United States? I very much doubt that and I reckon that these centers will be avoided by China and several others as well. Did anyone consider what happened to the $500 billion? Just a questions to ask. 

Have a great day.

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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 28, 2026 · 02:07

Out of the blue

So, I was attending a setting where I was dependent on customer support. I am being intentionally vague here, because the youthful young sprout side nothing wrong. She was just young (about my age millennia ago), but before you start judging her, and she did nothing wrong. I got to think “What if we had customer support settings on a DML level?” Consider this (overly exaggerated example) 

Tech help: Good morning, how can I assist you?
Customer: My house is on fire
Tech help: Please take a moment to assess how we can help, how can we assist?
Customer: It’s freakin hot, my house is on fire

As you might expect, this will not go anywhere useful soon. And you might think that this is an exaggeration, but when you are assisting a customer and he cannot get to his data, his life figuratively ends. So we need to get tech hardware to assist us. So what if we had a voice measuring setting? Not to interpret (even thought this might help too), a setting where the voice can be measured for stress levels. The technology exist, but consider that this might be overly expensive. How can this technology be made cheaper? Now consider a DML engine that parses the stress level and considers alternative responses so instead of “How can we asses you problem”, state “let us assist you too get your data to you”, but the system gives the tech help options, and the setting gives the 4-5 responses in colour. Red would be ‘Don’t do that’, but others might become options, Orange, Yellow and Green would be available. There will be moments when the Orange is the only one that makes sense, but Green would optionally be the best. And the learning setting that a DML/LLM support system has is that it can keep track of the answers and how it affected the customer. You see, I have been in tech support for decades and there are a few handles you can apply, but the scripted answer is never a great option (I never showed that to my bosses), they had too tender an ego to risk it. 

So when this system would be deployed, optionally with bells and whistles like zendesk, but most of these products are about recording data, not a setting that actively supports the Helpdesk to record and adjust scripts for aiding the tech support. And even if all these AI systems are fake AI, the data for customer service, customer care and technical support exists, there is plenty of it. So these systems are fake AI, but it is based on DML/LLM systems and they could bring a much larger change in this field. And as I see it, change will be required soon enough. The old guard of these systems are retiring and the new generation mostly lack experience. So why not let the DML/LLM system tweak the system? 

These were just a few settings I was looking at and at present I have no idea what there is, so I ned to look into this, because I might have developed an idea here, but perhaps so did someone else and I need to look into this to see what there is. So it is a little out of the blue, but I have been involved with customer care and technical support for decades, so I might has an idea or two to help this along. So, I need to mull over a few things and as I had nothing to offer DARPA (they are all in drone mode) I need to find a new hobby in the non-drone setting. Although destroying the Iranian railway systems are done based (as was my handle to destroy their refineries). And as DARPA is in delusional mode (as I personally see this) to get a drone carry twice the weight of the drone, is simply ridiculous. The Cessna 408 SkyCourier couldn’t do it, the ATR 72-600F couldn’t do it and the BAE 146-200QT couldn’t do this, and they have people in place who tried that for a life time, so why push the cogs of a civilian setting? I felt pretty proud that I as a non-expert in drones found a way to destroy Iranian railway lines and refineries. But I do believe that DARPA is taking this to a delusional stage. 

Still for now lets see what we can do to improve customer carer lives and reduce the stress they are confronted with. A much more rewarding result. Don’t you think so?

Have a great day.

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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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May 11, 2026 · 02:51

By the numbers

There is an old ‘saying’, it comes from the late 70’s and it goes a little like this:

There are three ways to lose your company:
Through women, which is the prettiest method.
Through gambling, which is the fastest method.
Through Statistics, which is the most certain method.

In the 50 years that followed we learned that the first option might be the prettiest, but you still end up with a working company. The second one is still an issue, but the third one is still under consideration, Especially with the presumed setting of AI (or as I call is NIP or Fake AI.

This all came to me when I was bombarded with charts and there are numerous ways that we are handed these charts, but it also gave me a consideration. You see, no matter how deep you believe the data to be true, it remains a consideration that any data is flawed and through that setting not entirely trustworthy. 

You see, this is the country with the most migrants, but what I am missing is where they came from. I saw another article in the BBC, which gave us ‘La dolce vita: Is Italy the new tax haven for the global rich?’ (at https://www.bbc.com/worklife/article/20260421-is-italy-the-new-tax-haven-for-the-global-rich)here we see “In France you also have to pay a property tax (taxe foncière or land tax). “We don’t have that here for the prima casa (first home),” says Robert, although he notes “there is a high charge for refuse collection”. The best thing as far as he is concerned is that there is no inheritance tax on property you own in Italy up to €1 million ($1.1 million) and it’s only 4% beyond that threshold. In France the tax-free limit is much lower – €100,000 ($110,000) – and beyond that it’s a sliding scale up to a top rate of 45%.” The story is about the ‘global rich’? All this might be true, but I believe that there is a larger migration into Europe. The setting that Americans are leaving, a setting we got in the Wall Street Journal on February 25th 2026, where we saw “The U.S. experienced net negative migration in 2025, with an estimated loss of 150,000 people, a trend not seen since the Great Depression.” And if you are ‘really wealthy’, you skip Italy and go straight to Monaco, which is a zero tax nation. So that first chart is nice, but where they came from is more interesting, especially in the era 2026-2028. 

We then get the second chart, which shows us where the youth is scientifically. Here we get the first issue. There is consideration that these numbers are flawed n some cases. As some give us: “There are approximately 1.2 billion young people aged 15 to 24 globally”, and I know enough of the failing of data, to give you the fact that there are no data sets giving us 1.2 billion records. As such plenty of nations have worked with mean values and that is the first failing on that chart. Second it is nice to see the USA in 17th position, but they have a population of 349 million and not all can afford to go to University, then we get foreign students in MIT, UCLA,
Princeton, Harvard and Yale. So how are they counted and what is disregarded? Several questions on a chart because the data is missing (and footnotes too). So whilst these numbers might be indicative that those scoring over 500 are in a ‘safe’ place, but that is if we accept this number. And the explanation of those scores, with added footnotes on what is regarded as ‘valid’ is up for grabs. 

And then we get the main event, the one that baffled me for a moment, because is gave my thoughts optional validity, but then I need to be wary of a few settings, because without data, a chart is merely a weighted result and without N (total responses) there are reliability issues. 

We now see the top countries by natural resource value. It gives me my validity as the United States is show to have $45T in value and that is the setting that makes them optionally almost insolvent. Their debt is growing faster and faster and as it is now said to be $38.9 trillion, which amounts to exceeding 100% of their Gross Domestic Product (GDP), but as we see it, they have almost spend the total of their natural resources. I have an issue with that, because the rare metals are not in that list all whilst Wyoming, Utah, Colorado, New Mexico, and Arizona have it, as such that number is off (by a lot) and other nations have more (or less) natural numbers as the chart sets out, all whilst these numbers are not given either as such it is a nice chart, but incomplete and as such redundant. If I was to hazard a guess, this was a chart to show how ‘good’ Russia is doing, but as I never saw data on it all as such I have my issues with it. All charts look pretty cool, but cool doesn’t pay the baker (or the butcher for that matter). As such we need to wonder what the chart was doing, not what they tell you, but what they aren’t telling you.

That was just my setting on this and there is a lot more to consider so whilst the first chart gave us “The U.S. hosts 17% of the world’s migrants”, my initial question was “Based on what data?” And as people m ight give us the setting that the AI gave them the numbers and we know that AI doesn’t yet exist. We are given the thought that it is merely DML and that is done by a programmer and that programmer might miss a few beats to be optimistic (many more beat are likely to have been missed) and all this on flawed data? 

So what was the designer of that chart trying to persuade you to consider what was ‘their’ issue? Because when someone makes a chart, they want you to look into a specific area, or not look in an area that also mattered. Have a great day, another Monday parked on front of my door, Vancouver still has the bulk of Sunday to get through. Ah well.

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