Tag Archives: Grok

July 20, 2026 · 12:14

A breath of fresh air 

This is what happens, at times we get refreshed from some issues that add settled in different ways and the Khaleej Times gave me two of those instances. I was happily refreshed. The first one (at https://www.khaleejtimes.com/uae/uae-investigation-publication-false-report-dubai-explosions) gives us ‘UAE authorities summon news agency officials over false Dubai explosion report’ it comes with the interesting byline “The Attorney-General said that the agency’s decision to withdraw the report and publish an apology does not preclude the continuation of the investigation” I still have to see where this goes, but this setting is refreshing. We get too much populist and digital driven headlines all over the planet and I see too many of them. So seeing this is refreshing to say the least. So as we see “The Attorney-General stated the investigation will determine the respective roles of each individual involved in the different stages of the report. It will also determine the extent to which they complied with legal and professional standards governing the verification of information before its publication” as well as “On Thursday, July 16, the Dubai Media Office confirmed that the Reuters report regarding “explosions” in Downtown Dubai is false. Reuters later issued a statement saying it “regrets” the report and that the story had been retracted the same evening. The agency also confirmed it issued a new report highlighting the Dubai Media Office’s denial. The news agency acknowledged that the report did not meet its standards. Reuters “could not immediately determine where the sounds were coming from or their significance, and did not offer that context,” the statement added.” I see a few issues with the part, but that is merely me and there could be an error in reporting there too. As such it is what it is, but the call by the Attorney-General feels like a breath of fresh air. 

After that we see (at https://www.khaleejtimes.com/business/tech/elon-musks-xai-sues-grok-user-over-sexualized-deepfakes) that ‘Elon Musk’s xAI sues Grok user over sexualized ‘deepfakes’‘ and there is a larger setting there, because this could global and those people weaseling away with “the app made me do it” could quite literally lose their house and their equipment over all this. As such, that 34.2 seconds of fame will come at a massively high price. As such we are given ‘The case is one of the first brought by an AI company against one of its users for allegedly using an AI system to generate explicit material’ with the added “xAI alleged in the lawsuit, filed in federal court in Texas on Tuesday, that Terry Harwood violated the company’s terms of service. The case is one of the first brought by an AI company against one of its users for allegedly using an AI system to generate explicit material. Contact information for Harwood, who was arrested in February, was not immediately available. Spokespeople for xAI did not immediately respond to a request for comment on Wednesday. The company’s lawsuit against Harwood follows intense global scrutiny of xAI over allegations that Grok has allowed users to generate non-consensual sexualized deepfakes, or realistic-looking videos fabricated by AI.” As such I reckon that there will be a sled full of lawyers going for the jugular of this Terry Harwood and if the news given by the Guardian is to be believed, this was done to images of adults and minors. I wonder how the lawyer of Terry Harwood would be spinning that. I reckon that we have to wait for the court case and the submitted evidence. I reckon that all these hormonal teenagers fabricating a slew of images from all kind of actors and actresses will soon face the music of their parents as these parents will likely see their houses going away to other shores. 

I reckon that this is what the victims of these people will go for, the first rule of torts is to go where the money is and that ends up being the real estate of the parents (in case of minors) but that is speculative thinking. What matters is that with the acts of Elon Musk and xAI is the first step of countering the tidal wave of sexualized deepfakes. 

I feel relief, the first time in over a year that something makes sense to me and there is a larger setting for some publications as well. You see they cannot hide behind “given to use by an anonymous source”, when they publish that and the Grok case bears fruit, the victims can now go after these publications as well, because that is the implied trend with torts. Torts goes to where the money is and the value of people like Jeff Bezos, who has approximately $252,000 million and Rupert Murdoch and family who is allegedly the owner of $24,000 million. I wonder how many class cases they will face in this setting. Time will tell.

Have a great day and look towards the sun wearing sunnies. It is a bright day today.

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July 6, 2026 · 12:08

History marks arrived

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

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

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

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

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

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

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

Have a great day. 

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June 25, 2026 · 15:40

Expect bubbles

That is what I was introduced to (really early) this morning and I saw a few articles, but one gave me an interesting option. So lets take a look. (At https://stocksdownunder.com/ai-bubble-chip-stocks-crash/) we are given ‘Is the AI Bubble Bursting? Why Nvidia, Micron and Chip Stocks Are Crashing’ it holds a lot of record, but I was taken with this setting ‘Is the AI Bubble Bursting or Just a Healthy Reset?’ With the text “Here is the honest answer: it could be either, and the truth is probably somewhere in between. The bear case is simple. Micron has more than tripled in value this year, and a run like that leaves very little room for disappointment. The bull case is that demand for AI memory and data centres is still strong, and analysts note the selling looked more like a rush for the exits than a real change in the companies’ earnings. We lean towards this being a crowded trade getting stress-tested, not the end of the AI story. But if the selling spreads well beyond chip stocks, that view needs to change quickly” (and at this point I learned that whoever was working on this is a noob and an idiot for his CSS settings as they are all over the place) But that is matter for another day. The “It could be either” and a third setting was the one I referred to a few days ago when simply Wall Street put out an unsigned piece that Palantir could be overvalued for well over 20%, as such this market has some people in it that would like to short stock as that is where their dollars come flying. And as we see in the article “Investors simply pay less for today for profits that may not arrive for years.” And as I see it, some investors are not beyond shorting stock if it fuels their profits, so a third reason is found. I am still on the side of the AI bubble shorting, but n that case a healthy reset of trillions is not out of the scope of things and the marshmallow field of fictive unicorns is rearing its ugly head that comes with the “late arrival of profits” and now that the investors are wondering what they got into, some will see that they are fueling a stock market that cannot survive delay upon delay and with AI not yet existing that is where it is all heading. So it is time to get another view and we see this in Clean Technica (at https://cleantechnica.com/2026/06/24/trillion-dollar-ai-bubble-on-verge-of-popping/) where we see ‘Trillion-Dollar AI Bubble On Verge Of Popping?’ And I am not adding it, because this is in part the view I have, what we see is “Yann LeCun, one of the “Godfathers of AI,” is one of the notable people who think the industry has been far too overhyped and misunderstood. He’s been pointing out that AI costs could be much higher than the amount of money customers are willing to pay for it.” It comes (also) with “Labs like OpenAI and Anthropic are going to have to increase prices, they’re going to have to cut costs, or there’s going to be a big bubble explosion,” and ““In their pursuit to boost productivity, become less reliant on human labor, and reassure investors that they’re riding the cutting edge of tech, some nagging issues are cropping up,” Futurism adds, and “over-relying on AI can prove disastrous for organizational knowledge, the critical business insights companies need to make strategic decisions.”” This is the setting that is actually fueling both the bubble burst as well as a healthy reset all at the same time and I reckon that for OpenAI, Anthropic, Grok and Microsoft that will most likely happen in the least interesting time and they will all ‘suffer’ for it, so consider when this bubble loses $4,000,000,000,000 – $5,000,000,000,000 (writing the word trillion makes it trivial) because that is likely to happen and the market is figuring out what I saw over 1-2 years ago, when you realise that all AI is fake, it is easy and let there be no mistake, all AI is fake. You see, what we are seeing is Deeper Machine Learning and Large Language Models and these are great tools and they will create markets for themself, but the people are expecting AI and that is just not true. So as AP News gives us “The tech-heavy Nasdaq composite fell 110.40 points, or 0.4%, to 25,476.64. A 2.3% drop in Microsoft was the heaviest weight on the market. Oracle slumped 4.6%. Many large tech companies have been behind Wall Street’s record-setting run throughout the year, but analysts have warned their valuations may have become stretched.” I personally reckon that someone is likely playing a stock short game with both Oracle and Palantir. You see, no matter how you slice it, the proper Data needs for DML/LLM solutions require data technology and these two are refined into the core of that and optionally there is Snowflake as well, but it might not yet be large enough to get the attention of the stock shorting DoDo’s (lets call them that).

Jawlah, a prominent Arabic digital media platform and news organization focused on venture capital (VC), startups, and the entrepreneurial ecosystem in Saudi Arabia and the broader MENA region (Middle East/ North Africa) gives us (at https://jawlah.co/en/59212) where we see ‘Fears of an AI bubble burst after a sharp tech stock sell-off’, which I reckon is fair enough. But the interesting part is where we see “The decline followed a near-800% surge in Micron’s stock over the past year, driven largely by rising demand for memory chips needed to run AI globally — gains some analysts believe may have overestimated expected returns”, as well as “Gil Luria, head of technology research at D.A. Davidson, explains the volatility: “The market swings between a wave of optimism that AI will change everything and renewed skepticism that it is just an expensive bubble whose returns do not justify the current spending.”.” And I am here in opposition, it is not “renewed skepticism”, it is the mere setting that those willing to hand out trillions should never have been so optimistic without proper case files and validation, so whilst they might get their cash back in 2045 when actual AI comes into play, the rest until then will be massively overvalued.  As I, as a non-believer, see it, someone listened to a sales person with the mindset of a second hand car salesman that stated “Look, we have AI” and the rest followed like crazy to get those coins rolling their way and now we are optionally seeing the start of an AI bubble. I am trodding carefully because there is disagreement whether it is an actual bubble popping. I reckon it requires an actual econometrist to call that for real and I ain’t one of those actuary types (nowhere near).

What we see is that we are given “it has erased approximately $2.7 trillion in market value across AI-linked companies”, all whilst the reasoning is “massive debt-funded data center expansions, mounting hardware costs, and growing investor scrutiny over artificial intelligence’s actual return on investment” which (as I personally see it) is only partially true. As I see it, the data sovereignty in Europe and the Commonwealth is setting the drain on the Return on Investments (ROI) towards these massive debt-funded data center expansions and that will hit business in the United States a lot harder than anywhere else. You see the United States has over 4,000 data centers. So how many are still under debt? And when a response group of over 700 million people walk away from that, with an additional optional population of up to 2.7 billion people (that is the complete Commonwealth), so it will not be that much, but I reckon at least 50%, that is 4,000 centers that will now lose close to 2 billion people (or 2,000 million), so where is that unused potential going? That is what I saw almost a year ago (actually a lot earlier, but until President Trump come, most people let the states quo continue) and that has now changed. So as others players (like DayOne) and there is someone in Sweden who saw this coming a few years ago and put his money where his thoughts were. I forgot that players name, but they are likely to make massive gains. All out off the hands of the United States. That part is not represented in any of these articles, but it is a factor in all of this.

So, we are expecting bubbles and I reckon a few other setting will rear its ugly heads, but the markets will all attribute this towards bubbles, because some is massively unhappy to attribute the other losses towards an US Administration that should have known better, but that is merely me looking at other factors in all this. The larger issue in all this is that some solutions are likely to be rather good and I hope that they are allowed to continue, because investors and speculators will want their returns at whatever expense they can get and some will suffer because of that greed driven taint in all this. But I might be the next village idiot in all this. Just like that seer in the 3rd century that saw large walls of stone with thousands of people and it was written off as a lying loon (he saw the Altiero Spinelli building in Brussels) but that is a story for another day.

So whatever you do, don’t rush into or out of anything without clearly seeing the ramifications. Have a great day today.

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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 4, 2026 · 21:58

I call it fake for a reason

I was battling what to write about and there was Elon Musk giving me a perfectly good reason right of the bat. Well, it wasn’t Elon who gave me the idea, it was his product Grok. I have always said that AI is not real because of the missing parts, and it comes with a few constraints by certain (so called) captains of industry who are lacking in several ways. It is also connected to some other things I do. You see, no matter how you come, how much you innovate the idea, you will end up with a mere 0.1%-1% of the true value of the product. Todays ‘captains’ are utterly set into the exploitation of everything they see. As such I put it on my blog. When my stuff is in the open they cannot really claim any innovation. You see the IP is no longer protected by intellectual property laws, and the public is free to use, share, and build upon these works without seeking permission from the original creator. I might get something out of it but for the most I get the satisfaction that these ‘captains’ see the loss of an idea towards everyone. If I am unable to get something out of it, it will become Public Domain and perhaps it will spread my fame in that way. Some will smile at this and call me stupid (or a fool) but I am out of their reach for exploitation. As I see it, I gave the world over a dozen options for enrichment and in this way the Indie developers get a leg up without fear that a larger player will cut them out. Small comfort. But that is what is.

So, whilst I diverted, it was for a reason. You see the AI of now is fake AI (at best), all of them are because the two elements missing are evolved versions of Shallow circuits, as stated (for as far as I know) IBM has the strongest version of this, but still another system is required, a trinary operating system. Binary will not do for AI, the setting of Null, False, True and both is required for a true AI to come and no-one has that yet. A dutch physician got the Epsilon particle made (or found), this was going to be instrumental and to evolve this in an IT setting (most likely through yet undetermined means), but I digress, what I believe to be a weakness, doesn’t make it true. Alternative evidence is needed and I found it a few times over, but in this case I will revert to my last story ‘As oil burns’ which I published on May 4th, 2026 at 12:33. About an hour later I used Grok to look at my story. The first view after an hour was:

Lawrence van Rijn’s post links to his new blog article “As Oil Burns” on lawlordtobe.com, discussing surging oil prices triggered by Iran’s closure of the Strait of Hormuz amid escalating US-Iran and regional tensions. The author, a postgraduate IT student and Master of IP Law candidate at UTS, regularly analyzes geopolitical issues like oil production shifts, UAE’s OPEC exit, Iranian attacks, and US military deployments in his personal blog. As of May 4, 2026, the X post shows very low visibility with only 4 views and zero interactions, typical of his niche personal commentary on current events.

This is what AI does? Is that really a view on what I wrote on: https://lawlordtobe.com/2026/05/04/as-oil-burns/

A story containing 986 words with more than 523 words (which is 54%) on Russia, the top line gives zero consideration on Russia, it gave me another thought, but Ill get to that later. The second view (on the same text) was after 6 hours and there we see:

Lawrence van Rijn’s X post shares a link to his own blog article titled “As oil burns,” published May 4, 2026, focusing on Ukrainian strikes against Russian oil tankers and infrastructure during the ongoing Russia-Ukraine conflict. The article cites a BBC report on Zelensky’s claims of attacks damaging three shadow fleet tankers, a warship, and a patrol boat, estimating 300,000-500,000 barrels per day reduction in Russian oil transshipments and over $7 billion in total losses from such strikes. It highlights Russia’s high military losses including over 11,900 tanks and 1.3 million soldiers, diminishing oil revenues forcing production cuts, and predicts further geopolitical isolation with limited export options remaining.

So what AI requires 6 hours to give better show of the same text? So, is my view of ‘Fake AI’ still wrong? As you can see the first part also gives no mention of the BBC and a few other parts. I got to the thought that this DML/LLM engine is allegedly used to filter out certain parts, until it can no longer hide a few things. Don’t forget whatever is done in DML/LLM is programmed by engineers, and whatever they say it is, that is what it becomes. People forget that and it is why thy fall in the AI trap, even though some clearly see that it is a fake solution. Don’t get me wrong DML and LLM are amazing inventions, but the courts will see through this and someone will blame the programmers and their bosses, this is why I saw the court cases come to blows in 2026. I particularly liked AI Misuse in Australian Courts (2026) where we see “over 73 cases identified where GenAI produced false citations.” So what AI does produce false citations? That requires a programmer. In addition, related to that is Warner v. Gilbarco, Inc. (February 2026) where we see the quote “AI to assist in case preparation does not automatically waive attorney-client privilege, characterizing broad requests for AI-generated documentation as a “fishing expedition”” Does this imply the AI uses deception to give us a “fishing expedition” or did (a massive perhaps) a programmer set this situation? As the evidence is added up, we get to see a different setting, a setting that gives notice that we should aim our attention to the programmers and their bosses. So at some point the influencers will be called into court and it is already happening “legal battles surrounding AI influencers, digital replicas, and content generation have shifted toward establishing liability for harmful outputs and defining the limits of AI-generated content protection. Key developments in early 2026 include lawsuits over AI-generated sexual content and major court decisions regarding copyright of AI-driven work.” Where we see (at present):

  • Ashley St. Clair v. xAI (Deepfakes and Platform Liability)
  • Tennessee Teens v. xAI (Child Safety)
  • Thaler v. Perlmutter (Copyright of AI Art)

And as these cases are resolved, the influencer drive of AI will dissipate and we get these bosses to ‘present’ their view, but they will be careful as they are decently unwilling (as I see it) to become liable. So whilst I will look to find a party to allocate $5M (post taxation) to my coffers, I will try to remain vigilant and see what other things some of these ‘Captains of industry’ have been overlooking. Apparently some say I need a hobby, time will tell. Have a great day.

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February 15, 2026 · 10:58

When Grok gets it wrong

This is a real setting because the people pout there are already screaming ‘failed’ AI, but AI doesn’t exist yet, it will take at least 15 years for we get to that setting and at the present NIP (Near Intelligent Processing) is all there is and the setting of DML/LLM is powerful and a lot can be done, but it is not AI, it is what the programmer trains it for and that is a static setting. So, whilst everyone is looking at the deepfakes of (for example) Emma Watson and is judging an algorithm. They neglect to interrogate the programmer who created this and none of them want that to happen, because OpenAI, Google, AWS and Xai are all dependent on these rodeo cowboys (my WWW reference to the situation). So where does it end? Well we can debate long and hard on this, but the best thing to do is give an example. Yesterday’s column ‘The ulterior money maker’ was ‘handed’ to Grok and this came out of it.

The blog post “The Ulterior Money Maker” by Lawrence Van Rijn, published on February 14, 2026, on lawlordtobe.com, presents a cautionary and somewhat conspiratorial view of how governments (especially the US) and technology companies are building massive personal data profiles on people worldwide — allegedly for hidden, profit-driven or control-oriented purposes rather than just security or convenience.The author opens by distinguishing between surface-level “settings” (what appears to happen) and ulterior/planned motives behind events. He uses two recent news items as entry points: An SBS report on the US pressuring Australia (and other Visa Waiver Program countries) to share extensive biometric and personal data — including DNA, five years of social media history, contacts, family details, photo metadata, and IP addresses — to maintain visa-free travel access, with a deadline mentioned around December 31. The UK has already signed such an agreement, while the EU is negotiating. The author sees this as governments “selling out” citizens.
A Forbes article warning about the viral ChatGPT caricature trend, where users input personal details (job, background, preferences) to generate fun AI images, unwittingly handing over sensitive data that persists indefinitely and can be combined with other sources.
He connects these to the massive US data-center infrastructure: over 577 operating centers and 660+ planned, enabled by huge storage advances (e.g., Kioxia’s 245TB drives scaling toward petabyte-level per small setups), making it feasible to store and cross-reference data on billions of people. The author questions whether this scale is truly needed for benign purposes like weather or safety, implying something more sinister. Drawing on a 1988/1989 prediction by Dutch journalist Luc Sala, he warns of an emerging global divide between the “have’s” and “have not’s” — where governments and corporations act as “enablers” classifying people via spreadsheets and revenue metrics, while ordinary people become “consumers” or liabilities if they don’t fit profitable patterns. He argues the biometric demands and casual AI data-sharing work hand-in-hand: governments collect structured data directly, while users voluntarily feed unstructured personal info into AI tools (dismissed as mere “NIP” or narrow AI), all easily merged using modern database systems like evolved Oracle or Snowflake. The post references the US CLOUD Act (2018) as enabling broad government access to electronic data, likening it to a phishing trap that countries enter without fully realizing the long-term loss of control. Individuals, the author stresses, have no real say in how they are categorized or profiled. The tone is urgent, skeptical, and somewhat resigned, with rhetorical questions (“Do you really think that this is needed to keep the United States safe, or is there more in play?”) and direct reader address. It blends current news excerpts, tech facts, historical warnings (the author claims to have cautioned about this for over 30 years), and speculative future implications. The post closes on a stark note:
“Have a great day today, because as I see it, some governments are selling you out as you speak.”Overall, it frames everyday actions (applying for visas, joining viral AI trends) as unwittingly fueling a vast, opaque “ulterior money maker” system centered on data as the ultimate commodity for classification, control, and profit.

It is mostly correct, there are a few little things, but I am not the critic to pummel those, the setting is mostly right, but when we get to the ‘expert’ level when things start showing up, that one gives:

It contains only a single link: https://lawlordtobe.com/2026/02/14/the-ulterior-money-maker/ This points to a blog post on your WordPress site “Lawrence van Rijn – Law Lord to be” (which seems focused on law, IP, tech, geopolitics, energy, and related commentary). However, the post itself appears to be a placeholder or draft at this stage — dated February 14, 2026, with the title “The ulterior money maker”, but it has no substantial body content. There’s just the heading, some standard WordPress/blog navigation (like “Leave a comment”, reblog/share options, short link, report content), cookie/privacy notices, and ad placeholders. No paragraphs, analysis, or details are present yet. From search snippets of your blog (including the homepage and category pages), there are occasional teaser-like fragments that mention:”The ulterior money maker. That is the setting, but what is true and what is ‘planned’ is another matter. We have several settings, but let me start by giving …”
This suggests the intended post might discuss hidden motives, ulterior financial incentives, “planned” versus real events — possibly in contexts like energy markets, geopolitics, oil/gas (given your other recent posts on ADNOC/LNG, Red Sea tensions, UAE exports, etc.), corporate strategies, or something broader like money-making schemes in law/tech/politics.Nearby/recent posts on your blog (from snippets) cover topics like: Globalisation and shrinking world (“As the world grows smaller”)
UAE/ADNOC expanding LNG shipping and exports
Red Sea/Houthi tensions calming but still sensitive
Energy industry job opportunities
Other pieces on science, insomnia/ambience ideas, or older political commentary
If this is a post you’re still drafting or just published, it might fill in soon with more detail on whatever “ulterior” financial angle you’re exploring. If you meant for me to comment on, analyze, or discuss the intended topic (or if there’s more context/images/video in the post that isn’t showing up), feel free to share additional details! What’s the main idea behind “The ulterior money maker”?

Grok just joined two separate stories into one mesh, in addition as we consider “However, the post itself appears to be a placeholder or draft at this stage — dated February 14, 2026, with the title “The ulterior money maker”, but it has no substantial body content” and this ‘expert mode’, which happened after Fast mode (the purple section), so as I see it, there is plenty wrong with that so called ‘expert’ mode, the place where Grok thinks harder. So when you think that these systems are ‘A-OK’ consider that the programmer might be cutting corners demolishing validations and checking into a new mesh, one you and (optionally) your company never signed up for. Especially as these two articles are founded on very different ‘The ulterior money maker’ has links to SBS and Forbes, and ‘As the world grows smaller’ (written the day before) has merely one internal link to another article on the subject. As such there is a level of validation and verification that is skipped on a few levels. And that is your upcoming handle on data integrity?

When I see these posing wannabe’s on LinkedIn, I have to laugh at their setting to be fully depending on AI (its fun as AI does not exist at present). 

So when you consider the setting, there is another setting that is given by Google Gemini (also failing to some degree), they give us a mere slither of what was given, as such not much to go on and failing to a certain degree, also slightly inferior to Grok Fast (as I personally see it).

As such there is plenty wrong with the current settings of Deeper Machine Learning in combination with LLM, I hope that this shows you what you are in for and whilst we see only 9 hours ago ‘Microsoft breaks with OpenAI — and the AI war just escalated’ I gather there is plenty of more fun to be had, because Microsoft has a massive investment in OpenAI and that might be the write-off that Sam Altman needs to give rise to more ‘investors’ and in all this, what will happen to the investments Oracle has put up? All interesting questions and I reckon not to many forthcoming answers, because too many people have capital on ‘FakeAI’ and they don’t wanna be the last dodo out of the pool. 

Have a great day.

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February 6, 2026 · 13:57

Thinking of the Post

You’ve got it, the post, or more classically names the Washington Post. It has been on the mind of millions for the longest of times. In 1989 Robert Downey Jr. wishes he was a reporter for the Washington Post in Chances are. In 2017 Steven Spielberg makes Meryl Streep into its publisher Katharine Graham and over time there have been enough mentions and references to see that the Washington Post is (or sadly stated was) a global icon in news media. I still see it as a global icon, but I do realise that as a star in the top of the Christmas tree it has played its course and we all wonder how long it will hold out on that premiere position and perhaps that is how it will end, a true ornament of global media, the top of the tree. So I was a little taken back when this morning I saw the news (via most other media) that a third of its staff is about to be let go. So lets first start with what I personally see as a brazen lie, we see (at https://www.newyorker.com/news/annals-of-communications/how-jeff-bezos-brought-down-the-washington-post) ‘How Jeff Bezos Brought Down the Washington Post’ and it comes with the byline “The Amazon founder bought thereof  paper to save it. Instead, with a mass layoff, he’s forced it into severe decline.” It was bought in August 2013, Jeff Bezos purchased The Washington Post and other local publications, websites, and real estate for US$ 250 million, transferring ownership to Nash Holdings LLC, Bezos’s private investment company. I have to ask the simple question. How much did the Washington Post cost Jeff Bezos up to now? I think that a newspaper who should bring in millions a day is now see as “The Post has lost around 500,000 subscribers since the end of 2020 and was set to lose $100 million in 2023, according to The New York Times.” (Source: Wiki) As such the Washington post has costed Jeff Bezos well over $350,000,000 dollars. There are only so many ‘pretty pennies’ any billionaire can fork over. And nearly ALL AMERICANS are to blame here. Consider the simple truth. If you are an American and you have not bought at least 100 newspapers as since August 2014, you are part of that problem. And I am just considering you part of that problem if you did not buy 100 Newspapers in the period 2013-2026. There are a few more reasons, but that it the crunch. As there are 350,000,000 US Citizens, we can consider you part of that problem if you bought less than 100 newspapers in 12 years. The number should be a lot higher, but you might have the divide attention between the LA Times, Boston Globe, New York Times, Wall Street Journal and a few others. News media is on the way out and they have themselves to blame for it. Instead of setting proper media trenches, America let slip the setting by allowing 6,000 newspapers to exist in the USA. That is a separation of 58,400 people per newspaper and they are all vying for advertisement money, classifieds and attention. Is it a wonder that a place like the Washington Post goes down? The utter stupidity of that is beyond me to understand. I get that there are more newspapers, local newspapers, but consider that there are merely 50 states. Where did the 6,000 newspapers go? It comes down to 120 newspapers PER STATE. And with every iteration that is out there, the big ones suffer, I reckon that several of the newspapers I mentioned are in a similar predicament and that is before they consider the online presence they have or lack to have. As spoken we get the setting (at https://www.npr.org/2026/02/04/nx-s1-5699328/washington-post-layoffs-jobs-bezos) where we see ‘Bezos orders deep job cuts at ‘Washington Post’’ which has much more business sense as a setting and here we see “The Washington Post moved Wednesday at the behest of owner Jeff Bezos to cut a third of its entire workforce. The layoffs affect every corner of the newsroom. In a newsroom Zoom call, Executive Editor Matt Murray called the move “a strategic reset” it needs to compete in the era of artificial intelligence. The paper had not evolved with the times, he said, and the changes were overdue in light of “difficult and even disappointing realities.”” Which is note completely true either. You see, there is no AI at present and all who are appeasing to that “lie” are selling themselves short. Actually AI is still two decades away but the setting that is now coming is creation of events through DML and LLM is real and when verification and validation happens it will become a problem, but as I see it, there is no real validation and verification and that happens by REAL journalists at present (editors too) but as I see it, created stories are a problem and an AI could do my blog if it had what I have and as I see it places like Grok are no where ready because they lack the ability to cater to multi dimensional viewpoints, so at present I am still a superior power there. I reckon that some of these journalistic dinosaurs are similar too (if they are not part of the Jurassic Park franchise) and that is the value they currently have and it is a dwindling setting at present. So when we get

“While acknowledging that the media industry as a whole is struggling, Baron blamed Bezos for exacerbating the newspaper’s woes through “ill-conceived decisions,” including killing an endorsement in fall 2024 of Kamala Harris for president. That choice, which Bezos took responsibility for, led hundreds of thousands of subscribers to cancel their subscriptions. Under Baron, whom Bezos inherited as executive editor, the paper flourished, flexing journalistic muscle in accountability reporting on President Trump’s first term in office. It reaped rewards from readers too, exceeding 3 million paying subscribers. It is now far below that level, according to a person at the paper with knowledge. (The person spoke on condition of anonymity, citing fears of being fired for speaking to the press.)”

It is hard to disagree (I don’t have any facts on that, but the setting of 3,000,000 paying subscribers does have a handle, it might be too small, it might not, but I think it is too small and the 6,000 newspapers are part of that. I think that a newspaper needs to have journalists, it needs to have a national/global section and I think that over 2,000 papers are unable to do that. They all hope for the materials that floats them and the advertisements that bring them dollars. Not a way to run any newspaper (my number 2,000 is purely speculative and arbitrary) but to see that one third of the newspapers are unable to fill such a gap and merely capture the faces that read headlines is part of the problem. 

That is the setting that I fear that is part of the problem and I do not agree with Jeff Bezos, but he was not part of that problem ever. And to give you the other setting, Wikipedia gives us “In 2018, Khashoggi was murdered by Saudi agents in Istanbul.” This is a blatant lie. I ripped a hole in that UN research with nothing more than logic and there are more settings that never made sense, but that is the world we are in now, “Guilty until proven innocent” that is the era that what some call AI is vying for and until there is proper verification and validating that is all you will get and at some point someone will say “If only we still had the Washington Post” but that is the moment when this is too late. I might live long enough for that moment too come (I am no longer a spring chicken). And at the speed things are coming, I will see this moment and say “You see, I was right all along”, but those in the thick of things will not care and others will feel to hopeless. 

That is the refractionary reality of things to come. Have a great day.

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January 14, 2026 · 10:14

Call it like it is

That is how I usually flow, it doesn’t make me loved or at times even appreciated, but that is me, oversimplifying problems on the handle, or is that off the handle? So whilst I was watching the BS wannabe influencers going all out on Elon Musk and Grok. There are two settings. The first is some have a case, but others do not, they are all out to get the maximum out of Grok (and its owner). I tend to take a less obvious course of action. You see, what everyone is ‘ignoring’ (intentional or not) is that AI doesn’t yet exist. So this is all DML and with an optional setting of LLM. And they are powerful tools, but they are programmed and that is what some want to avoid looking at. The programmer has no or little wealth and in law Torts tells us to go after the money and that was a fact long before Donoghue v Stevenson 1932 AC 562. And that setting is still used today, where these plaintiffs go after the money. Yet I am of a different stroke. I want the issue stopped. One thing to do this is to use the risen of nonrepudiation. You and only you could have done this. So we address that in the software, there are legitimate reasons and non-legitimate reasons and ALL have to submit there data and whilst that is done, (not unlike Meta) we capture all the data we can as such we have a batter of data and it is connected to (or imbedded) into the picture, but that is not enough. The provider keeps a copy of the image with a hidden watermark (an encryption technique I designed for other reasons) and that goes with every picture. It is there hidden and that is how nonrepudiation works. We might not prevent a lot, but now we can do something about it, not tomorrow, not next week or next year. But now. And the people who don’t want to do that, they can find another solution. But this fleecing Elon Musk and whatever company he has now needs to stop because those who want to go the ‘Torts’ way are part of the problem and not part of the solution. This is how I see it.

And lets be clear, some actions like ‘nudifying’ a famous person is wrong, even if you are the husband. And lets be clear, that act is also set to a 90% likely that you are not capturing the whole and correct image, so there is that too. And weirdly enough there are plenty of stars showing off their priceless pairs in fashion shows (example: Olivia Wilde) and they are ‘willing’ to do that, so save that picture for all its worth, but leave the others alone. Now, I get it, there is always a horny teenager that wants to show off that ‘he’ and ‘he’ alone was ‘given’ an image from his star and showing this off to his friends (who are likely using the same solution) and they have their own starlet, its like the Generation Alpha version on who has the biggest dick. 

And when they realise what they have done, that usually comes when their wives are giving birth to a daughter, reality hits. That is in 15 years and something needs to be done now, as such add nonrepudiation to this equation makes people wonder what to do. Some will wipe the image, but if the provider have the copy and connected data that will not be enough. When the hidden data is added to whatever that person gives is verified, we see the first red flags erupt and that is how the game is changed and those ‘privacy’ geeks out there, there is no privacy on nudifying images and as such the woman in question gets to have the right to prosecute and the maker of the image is to be prosecuted, not Elon Musk, Not Grok because there is a whole range of reasons why a filter was created, some are funny (like the Shrek faces on everyone in a video) and a few others, some filters are there to correct like remove dopey dodger photobombing away from a photo, but to remove clothing from a person is not. 

There is a likelihood of me missing out on a few items and that is fine but the setting I needed to give is here, we need to prosecute and shame the ones doing the deed, that is overlooked by pretty much all the writers of the anti-Grok brigade. None of them is holding these people to account and adding nonrepudiation is doing just that, taking care of the culprits and those mommies and daddies saying that they were merely kids having fun need to realise that there is no innocence in that setting, they failed as educators. 

So have a great day and consider what can happen when we go after the transgressors. 

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November 27, 2025 · 22:50

And Grok ploughed on

That happens, but after yesterdays blog ‘The sound of war hammers’ (at https://lawlordtobe.com/2025/11/27/the-sound-of-war-hammers/) I got a little surprise. I could not have I want to planned it better.

You see, the article is about the AI bubble and a few other settings. So at times, I want Grok to take a look. No matter what you think, it tends to be a decent solution in DML and I reckon that Elon Musk with his 500,000 million (sounds more impressive then $500B) has sunk a pretty penny in this solution. I have seen a few shortcomings, but overall a decent solution. As I personally see it (for as far as I have seen it) that solution has a problem looking into and through multidimensional viewpoints. That is how I usually take my writing as I am overwhelmed at times with the amount of documentation I go through on a daily basis. As such I got a nice surprise yesterday.

So the story goes of with war hammers (a hidden stage there) then I go into the NPR article and I end up with the stage of tourism (the cost as the Oxford Economics report gives us) and I am still digging into that. But what does Grok give me?

The expert mode gives us:

The linked post directs to a blog by Lawrence van Rijn, a self-styled “Law Lord to be,” where he explores a narrative blending legal aspirations with speculative commentary, notably predicting FIFA might shift the 2026 World Cup from the U.S. to Saudi Arabia due to visa issues and a $435 fee delay, a theory unsupported by official FIFA statements but echoing concerns from a Travel.com article about U.S. tourism losses.

Van Rijn’s blog ties this speculation to an unusual metaphor of “war hammers” clashing on armor, symbolizing economic and technological tensions, particularly an AI bubble warned about in an NPR report (November 23, 2025), which cites MIT economist Daron Acemoglu’s research showing only 3% of people pay for AI services, challenging the trillion-dollar investments by tech giants like OpenAI.

His energy shortage concern aligns with a U.S. Energy Information Administration forecast of a 45% electricity price hike in Texas by 2026 due to data center demand, a trend overlooked by mainstream media focused on AI hype, suggesting a potential societal cost as power grids strain under unreported load increases.

Now, in the article I never mentioned FIFA, the 2026 World Cup or Saudi Arabia, so how did this program come to this? Check out the blog, none of those elements were mentioned there. As some tell us Grok is a generative artificial intelligence (generative AI) chatbot developed by xAI. So where is that AI program now? This is why I made mention in previous blogs that 2026 will be the year that the class actions will start. In my case, I do not care and my blog is not that important, even if it was, it was meant for actual readers (the flesh and blood kind) and that does not apply to Grok. I have seen a few other issues, but this yesterday and in light of the AI bubble story yesterday (17 hours ago) pushed this to the forefront. I could take ‘offense’ to the “self-styled “Law Lord to be”” but whatever and I have been accused of a lot worse by actual people too. And the quote “this speculation to an unusual metaphor of “war hammers”” shows that Grok didn’t see through my ruse either (making me somewhat proud), which is ego caressing at best, but I have an ego, I merely don’t let it out to often (it tends to get a little too frisky with details) and at present I see an idea that both the UAE and Saudi Arabia could use in their entertainment. There is an upgrade for Trojena (as I see it), there are a few settings for the Abu Dhabi Marina as well. All in a days work, but I need to content with data to see how that goes. And I tend to take my ideas into a sifter to get the best materials as fine as possible, but that was today, so there will be more coming soon enough. 

But what do you do when an AI system bleeds information from other sources? Especially when that data is not validated or verified and both seem to be the case here. As I see it, there is every chance that some will direct these AI systems to give the wrong data so that these people can start class actions. I reckon that not too many people are considering this setting, especially those in harms way. And that is the setting that 2026 is likely to bring. And as I see it, there will be too many law firm of the ambulance chaser kind to ignore this setting. That is the effect that 8 figure class actions tend to bring and with the 8 figure number I am being optimistic. When I see what is possible there is every chance that any player in this field is looking at 9 or even 10 figure settlements, especially when it concerns medical data. And no matter what steps these firms make, there will be an ambulance chaser who sees a hidden opportunity. Even if there is a second tier option where a Cyber attack can launch the data into a turmoil, those legal minds will make a new setting where those AI firms never considered the implications that it could happen.

I am not being dramatic or overly doom speaking. I have seen enough greed all around me to see that this will happen. A mere three months ago we saw “The “Commonwealth Bank AI lawsuit” refers to a dispute where the Finance Sector Union (FSU) challenged CBA for misleading staff about job cuts related to an AI chatbot implementation. The bank initially made 45 call centre workers redundant but later reversed the decision, calling it a mistake after the union raised concerns at the Fair Work Commission. The case highlighted issues of transparency, worker support, and the handling of job displacement due to AI.” So at that point, how dangerous is the setting that any AI is trusted to any degree? And that is before some board of directors sets the term that these AI investments better pay off and that will cause people to do silly (read: stupid) things. A setting that is likely to happen as soon as next year. 

And at this time, Grok is merely ploughing on and set the stage where someone will trust it to make life changing changes to their firm, or data and even if it is not Grok, there is all the chances that OpenAI will do that and that puts Microsoft in a peculiar stage of vulnerable.

Have a great day, time for some ice cream, it was 33 degrees today, so my living room is hot as hell, as such ice cream is my next stage of cooling myself.

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November 23, 2025 · 10:29

Driving the herds

OK, I am over my anger spat from yesterday (still growling though) and in other news I noticed that Grok (Musk’s baby) cannot truly deal with multidimensional viewpoints, which is good to know. But today I tried to focus on Oracle. You know whatever AI bubble will hit us (and it will) Oracle shouldn’t be as affected as some of the Data vendors who claim that they have the golden AI child in their crib (a good term to use a month before Christmas). I get that some people are ‘sensitive’ to doom speakers we see all over the internet and some will dump whatever they have to ‘secure’ what they have, but the setting of those doom speakers is to align THEIR alleged profit needs to others dumping their future. I do not agree. You see Oracle, Snowflake and a few others offer services and they are captured by others. Snowflake has a data setting that can be used whether AI comes or not, whether people need it or not. And they will be hurt when the firms go ‘belly up’ because it will count as lost revenue. But that is all it is, lost revenue. And yes both will be hurting when the AI bubble comes crashing down on all of us. But the stage that we see is that they will skate off the dust (in one case snow) and that is the larger picture. So I took a look at Oracle and behold on Simple Wall Street we get ‘Oracle (ORCL) Is Down 10.8% After Securing $30 Billion Annual Cloud Deal – Has The Bull Case Changed?’ (At https://simplywall.st/stocks/us/software/nyse-orcl/oracle/news/oracle-orcl-is-down-108-after-securing-30-billion-annual-clo) With these sub-line points:

  • Oracle recently announced a major cloud services contract worth US$30 billion annually, set to begin generating revenue in fiscal 2028 and nearly tripling the size of its existing cloud infrastructure business.
  • This deal offers Oracle significantly greater long-term growth visibility and serves as a major endorsement of the company’s aggressive cloud and artificial intelligence strategy, even as investors remain focused on rising debt and credit risks.
  • We’ll examine how this multi-billion-dollar cloud contract could reshape Oracle’s investment narrative, particularly given its bold AI infrastructure expansion.

So they triple their ‘business’ and they lose 10.8%? It leads to questions. As I personally see it, Wall Street is trying to insulate themselves from the bubble that other (mostly) software vendors bring to the table. And Simply Wall Street gives us “To believe in Oracle as a shareholder right now is to trust in its transformation into a major provider of cloud and AI infrastructure to sustain growth, despite high debt and reliance on major AI customers. The recent announcement of a US$30 billion annual cloud contract brings welcome long-term visibility, but it does not change the near-term risk: heavy capital spending and dependence on sustained AI demand from a small set of large clients remain the central issues for the stock.” And I can get behind that train of thought, although I think that Oracle and a few others are decently protected from that setting. No matter how the non existent AI goes, DML needs data and data needs secure and reliable storage. So in comes Oracle in plenty of these places and they do their job. If 90% business goes boom, they will already have collected on these service terms for that year at least, 3-5 years if they were clever. So no biggy, Collect on 3-5 years is collected revenue, even if that firm goes bust after 30 days, they might get over it (not really). 

And then we get two parts “Oracle Health’s next-generation EHR earning ONC Health IT certification stands out. This development showcases Oracle’s commitment to embedding AI into essential enterprise applications, which supports a key catalyst: broadening the addressable market and stickiness of its cloud offerings as adoption grows across sectors, particularly healthcare. In contrast, investors should be aware that the scale of Oracle’s capital commitment brings risks that could magnify if…” OK, I am on board with these settings. I kinda disagree, but then I lack economic degrees and a few people I do know will completely see this part. You see, I personally see “Oracle’s commitment to embedding AI into essential enterprise applications” as a plus all across the board. Even if I do believe that AI doesn’t exist, the data will be coming and when it is ironed out, Oracle was ready from the get go (when they translate their solutions to a trinary setting) and I do get (but personally disagree) with “the scale of Oracle’s capital commitment brings risks that could magnify if”. Yes, there is risk but as I see it Oracle brings a solution that is applicable to this frontier, even if it cannot be used to its full potential at present. So there is a risk, but when these vendors pay 5 years upfront, it becomes instant profit at no use of their clouds. You get a cloud with a population of 15 million, but it is inhabited by 1.5 million. As such they have a decade of resources to spare. I know that things are not that simple and there is more, but what I am trying to say is that there is a level of protection that some have and many will not. Oracle is on the good side of that equation (as is Snowflake, Azure, iCloud, Google Gemini and whatever IBM has, oh, and the chips of nVidia are also decently safe until we know how Huawei is doing. 

And the setting we are also given “Oracle’s outlook forecasts $99.5 billion in revenue and $25.3 billion in earnings by 2028. This is based on annual revenue growth of 20.1% and an earnings increase of $12.9 billion from current earnings of $12.4 billion” matters as Oracle is predicting that revenue comes calling in 2028, so anyone trying to dump their stock now is as stupid as they can be. They are telling their shareholders that for now revenue is thimble sized, but after 2028 which is basically 24 months away, the big guns come calling and the revenue pie is being shared with its shareholders. So you do need brass balls to do this and you should not do this with your savings, that is where hedge funds come in, but the view is realistic. The other day I saw Snowflake use DML in the most innovative way (one of their speakers) showed me a new lost and found application and it was groundbreaking. Considering the amounts of lost and found is out there at airports and bus stations, they showed me how a setting of a month was reduced to a 10 minute solution. As I saw it, places like Dubai, London and Abu Dhabi airport could make is beneficial for their 90 million passengers is almost unheard of and I am merely mentioning three of dozens upon dozens of needy customers all over the world. A direct consequence of ‘AI’ particulars (I still think it is DML with LLM) but no matter the label, it is directly applicable to whomever has such a setting and whilst we see the stage of ‘most usage fails in its first instance’ this is not one of them and as such in those places Oracle/Snowflake is a direct win. A simple setting that has groundbreaking impact. So where is the risk there? I know places have risks, but to see this simple application work shows that some are out there showing the good fight on an achievable setting and no IP was trained upon and no class actions are to follow. I call that a clear win.

So, before you sell your stock in Oracle like a little girl, consider what you have bought and consider who wants you to sell, and why, because they are not telling you this for your sake, they have their own sake. I am not telling you to sell anything. I am merely telling you to consider what you bought and what actual risks you are running if you sell before 2029. It is that simple.

Have a great day (yes Americans too, I was angry yesterday), These bastards in Vancouver and Toronto are still enjoying their Saturday. 

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