Tag Archives: OpenAI

September 24, 2026 · 01:42

Rebranding the XXX farm

That is the image I see. It is an old story (I believe it came from the Donald Duck comics) and it was the 70s when I saw that particular story. Cattle was being ‘mismanaged’ and the three ducklings (aka Huey, Dewey, and Louie) found out what was happening. The diamond ranch, the W ranch and two more were missing cattle and it was the XXX ranch that had acquired them. The diamond was hidden in the 2 XX’s and the W was part of the XXX brand. It was a simple rebranding. Clever (I was merely 8-10 years old) but that was the simplicity of my weekly Donald Duck. So when I saw the News dot com dot AU and Defense One giving us ‘‘Super Intelligence’: the president’s new term for AI, explained’, his actions make perfect sense. You see AI doesn’t exist and whilst the courts are figuring out just how much it doesn’t exist yet. You see, what they all call AI is merely an advanced form of predictive analytics, with the margin of LLM, Machine Language and Deeper learning (I call that DML, Deeper Machine Learning) but it can only react to data it has and it is all done binary. My personal feeling is that real (or true) AI requires trinary data. But that is not what matters now. The setting is that more and more court cases will come and that presents a difficult case for these ‘AI vendors’ there is already the setting of copyright ‘theft’ (as I personally see it) and I have been a victim of that, thousands of my articles were (I assume) used for training. And whilst we see this, we now see that rebranding is in order and the President now calls it ‘Super Intelligence’ and that avoids the court cases where they take out the writings of Alan Turing and use that against these (now called) ‘Super Intelligence’. As such it is a clever ploy, but the ‘contracts’ out there will all require ‘reissuing’ if that is al all possible, if not the current court cases will commence, but new court cases are unlikely be successful because all the new court cases cannot use Alan Turing against ‘Super Intelligence’ I can still hold my ground and I will be proven correct over the whole range, but these ‘Super Intelligence’ can now hide behind a ‘miscommunication’ setting like they always do. I think it is hilarious that all these people hiding behind millions are so bad in communicating. Is that where their skills lie?

(Just asking), but there is a larger setting, you see this ‘Golden age of Super Intelligence’ will need rebranding and that is where the shoe will not fit. These investors have been suckered into the trough of Artificial Intelligence and I am speculating that these people will try to get out during or after the rebranding and cut their losses. Because they fear what they have since decently recent feared all along. They could lose what they once had and that is the next step in this ploy.  So when we get to “President Donald Trump on Tuesday announced a rebranding of the term “artificial intelligence,” saying during the United Nations General Assembly that from now on, it will be called “super intelligence.” “From this point forward, all of United States’ documents, and hopefully the world’s, will be changed to use the much more accurate term, ‘super,’ as opposed to ‘artificial’,” he said.” And it is the setting “hopefully the world’s” is where these second hand car salesman (aka AI vendors) see the setting that they are ‘merely’ adhering to what the President of the united States requested and required and it gets them off the hook (which is how I see this). 

So when we get to “Though the rebrand may have been a surprise to many, superintelligence is already an established term in AI literature. It was popularized in philosopher Nick Bostrom’s 2014 bestseller Superintelligence, which defines the term as “any intellect that greatly exceeds the cognitive performance of humans in virtually all domains of interest.” Artificial superintelligence, or ASI, thus refers to future AI systems that could be much smarter than humans, and contrasts with the weaker forms of AI that exist today.” And as far as I can tell, they all are silent on Alan Turing, that ship has sailed and now the age of damage control starts. They overreached and they fell short and now this so called golden age needs to be contained. These second hand car salesman all need to reset their views and they will all hide behind the miscommunication of new technology, but now it is all better, it will all be great and it will not. There is over two point five trillion dollars invested in all this and how do you think that will fare?

And I personally think the quote “But others say the possible renaming contributes to an ongoing conversation about AI’s growing abilities.” Relies not just on ‘contribution’ but to a larger extent to the stopping and avoiding of legal matters now in full swing. In addition ““‘Super’ does align well with the fact that AI is exceeding human capabilities in a growing range of tasks and by increasing margins, which can have distinct national security implications beyond simply matching human performance,” said Caleb Withers, a research associate for the Technology and Security Program at the Center for a New American Security.” Yet the entire ‘leap of faith’ the act in absence of data is also painted over. A strength that people have it seems that the article does not bare this out and the setting where we see this all important person named Caleb Winters is used to obfuscate what exactly? So whilst the article ends with “Trump reportedly worries that an AI slowdown could cause a market crash, and sees “super intelligence” as a critical sector for America to stay ahead of China. “Whoever wins AI, you have to remember this, and now I say, whoever wins SI, whoever wins super intelligence, wins. That’s the group that wins.”” And it is mere deceit. AI will take over a decade and that has been clear for some time, rebranding this does not alter the fact. And (as I personally see it) setting the “a critical sector for America to stay ahead of China” is even more laughable. Because the west is playing hockey with a Trump card (grok vs OpenAI vs Google Gemini vs whatever Microsoft has vs whatever Amazon has) and that goes up against whatever China has and so far I am not impressed with the results. I have no idea where China stands because I categorize all AI as fake AI, no matter where it is from and I gave my reasons in several articles. So far I have been proven correct nearly every time (I prefer nearly as I am unlikely to be  aware of everything) but the setting of this rebranding bothers me. In one setting that it was only possible if all the involved parties were aware of the dangerously thin ice they were on and as we get a song and dance of musical chairs where they all point at each other and state “We are abiding to the needs of our president” and more of that, all whilst they comprehended that this state was nearing its end. The Motley Fool gave us 4 hours ago ‘Sam Altman’s OpenAI Is in Talks for a New Funding Round Valuing It at $1.2 Trillion Instead of an IPO. Here’s Why He Called Going Public Now “Ill-Advised.”’ Where we see “In a recent interview with Fortune magazine, Altman said that — in light of safety concerns regarding OpenAI and other similar artificial intelligence platforms — “right now would be an ill-advised moment to go public.”

The safety concerns in question are the prospect that AI systems could make unchecked decisions on their own that result in measurable and meaningful harm to humanity, up to and including taking actions that cause human extinction.” I personally feel that this is a false statement and it has been a long time in the making and they fear (all these vendors) that the comedy caper ride is ending and as we n ow see the age of rebranding, there is more to come, but that takes time and the delay of over a decade will not be met and as I see it the involved parties are all aware of that. 

So, when you see these proclaimers of AI in the background, see that they are merely influencers trying to appease the hordes of people like flim flam artists and connected to all this are the vendors. The one advantage this gives us are these flim flam artists is the need to ‘adjust’ their story and I reckon that they aren’t all seeing eye to eye on any of this, because once burned twice shy. (An adjusted expression) and that is where we are at present and it is not over yet, not by a long shot and there is a third setting. Where exactly is China in all this, because that matters too. Because the actions of China in all this will reverberate all over the EU and the Gulf States and I wonder if the players in this game considered that. But as I see it, hatred of China won’t matter because the people have their vested interests and no interest in hatred that is where President Trump as well as the United States are flawed. So whilst we were given “whoever wins SI, whoever wins super intelligence, wins. That’s the group that wins” they seemingly forgot that SI is a new term, rebranding has a downside, it requires time and it seems that these wielders forgot about that. They need to rebrand their fake AI and at present the people are confused, it is all happening too fast and it is happening all whilst the people are realizing that their AI is not any kind of Super Intelligence. The people are realizing that they invested in an Edsel and you know what happened then, do you?

That is merely my view on this and I reckon that I am seeing it correctly, if not you can brand me the towns idiot. Because that is true too, I could be wrong. Only the king of idiots thinks that his truth is the only one that exists. I believe I am correct, but I will always consider that I could be wrong, it is a requirement of critical thinking. Have a great day you all.

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September 22, 2026 · 14:29

The delusion express

That is what I am seeing and people who claim that I am so wrong could be correct. I don’t think anyone has any faith in what this Trump administration is trying to do and whist we are given ‘What’s the US–China AI ‘hotline’ that Trump plans to pitch to Xi Jinping?’ The first thought that comes to my mind is “And China cares about what Trump will bring?” And this is the first feeling that evades from my regarding the Al Jazeera article. So whilst we accept the concept of “Washington and Beijing discuss AI hotline idea amid escalating competition and restrictions on advanced technologies.” There is literally nothing bringing hope on whatever the message from Washington is. This is the consequence of a tour gone bad. So whilst we were given 2 hours ago (source: The Guardian) ‘Houthis move to seize strategic terrain after Trump calls off airstrikes at last minute’ we need to wonder what President Trump has achieved in the last 200 days whilst he started to Bomb Iran, now its Houthi terrorist allies are given some kind of fictive shield to attack Saudi Arabia. As such China needs to consider who they could topple whatever Washington does and that AI hotline should be placed in a DeepSeek AI IT tech centre. So when he calls it, we could get the following conversation

[Trump] This is President Trump, we have an AI that has gone wild
What version of DeepSeek are you using?
[Trump] We have no DeepSeek, it is ChatGPT, I think it is the beautiful latest version
And why would we care what your fake AI is doing to you?
[Trump] Is this the AI hotline?
this line is hot, we are always helping our DeepSeek users, we have over 130 million active users.
[Trump] disconnecting line sound

You get the idea, because the only people thinking that there is a Fake AI issue are the non-Chinese and with “The United States wants a new “notification mechanism” with China to warn each other when an artificial intelligence incident becomes serious enough to threaten national security. The proposal, effectively an “AI hotline”, was discussed on Sunday during talks in New York between US Treasury Secretary Scott Bessent and Chinese Vice Premier He Lifeng, ahead of a summit between US President Donald Trump and Chinese President Xi Jinping in Washington this week.” And the setting is real enough. Why would China worry of anything serious enough to threaten US National security? Think about that. The entire setting is a delusional setting and when we realise that there was a clear reason for me to call all AI fake, you might see where where this article goes. I reckon that the Russians are howling with laughter. And I reckon that China is on that same setting. There was someone who  who brought this up to the surface today.

Ben Affleck gave this interview 8 months ago. You can watch it (at https://www.youtube.com/watch?v=qmgKA1FmKdk) and it is what I have been saying all along and being how he states it is quite brilliant. I use way too many characters to say the same thing. And when you realise where AI is, you gets to see the clown setting that President Trump and US Treasury Secretary Scott Bessent are trying to pose to you. And this setting is merely two comedy characters trying to grow a case and a seeing that does not now, likely not ever come into play. Because in all this the setting relies on a True AI and not fake AI and we are over a decade too soon for that and whatever you see anywhere, and likely the valuation isn’t likely to happen any day soon, because they are already in a fight to keep their heads above water and that is less and less likely to happen now, especially as Iran and their Houthi terrorists are attacking Saudi Arabia. So whilst President Trump is halting their ‘drop-off’ points for things that go BOOM, oil is now not reaching the places that need it to fuel data centres, as such the capital expenditure will fail to meet the settings it needs to be and as Ben Affleck stated, the next wave might be 25% better, but cost 400% more and the return on this investment will fail near immediately and I saw this years ago and because several points aren’t being met the entire setting of fake AI is faulty. I see options and they are great, but also based on data that is available and AI needs to go further and that is still at least 5 steps short of what some people call True AI. So in this setting President Trump is trying to sell an AI hotline?

What is he? The representative of Radio Rental? (People in the UK and Canada will get this reference), so whilst we are given “US Treasury Secretary Bessent said Washington had proposed creating a US-China AI dialogue, with particular focus on national security and a notification system covering “common goals and common threats”. “We think that, just like with any cross-border activity, that moving from opaque to more transparency between the number one and the number two AI powers in the world is very important,” Bessent told reporters after Sunday’s discussions.” I see a failing setting in several places and whatever this hotline is, it is not about AI. So whilst we think that there is progress with ‘OpenAI Urges Washington to Lead Global Effort to Create AI-Safety Standards’ (source: WSJ) and the text given is “OpenAI is asking the U.S. government to lead an effort with other countries to develop global safety and security standards for building cutting-edge artificial-intelligence systems.” It is my personal believe that Sam Altman and his OpenAI is now entering the setting that Ben Affleck described as “the next wave might be 25% better, but cost 400% more” and Sammy Altman cannot sell this, so he needs a governmental buffer, so ho can state something along the way “We are ready, but the government wants security buffers” this is what I expect to happen and they have trillions in the mix and the longer they can postpone this, the safer they are. And in all this the inactions towards Iran and Houthi terrorists is changing that premise as well, because until last week no one every expected that Saudi Arabia would halt its oil deliveries and that will be hitting all over the EU soon enough. Their option will be that Canada can make some of the deliveries, but I reckon that it cannot fulfill the 100% required (I actually have no idea how much Canada could deliver within the next month) so that is another setting the EU will ave to deal with.

I advise you to watch the Ben Affleck interview on YouTube, it is near brilliant. So am I delusional, or it President Trump delusional? I am leaving this in the middle, because in several cases it could be me and when you realise that I was right all along, you will see the first setting of this delusion. The idea that fake AI is ‘this dangerous’ that a hotline with China is required, becomes a joke in itself. Because DeepSeek has been accused of distilling data and all kinds of acts, all whilst there is a massive shortcoming on Validation and Verification of all these fake AI engines. That realisation gives rise to the failing to meet the return on capital investment and that is the part that relies on trillions. It is a neat little line that goes everywhere and at that point. What would you think of Sam Altman and their ‘worries’. This is the stage you are all seeing and some are merely reporting this news. This is not on the Wall Street Journal, Al Jazeera, BBC, or CBC, but someone is fueling a fire in the wrong areas and you need to ask questions about that. 

Have a great day today.

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September 20, 2026 · 06:43

Reasons for a ban

That was what I saw and I questioned it, because when any White House bans a media station as vanilla as CNN, something else is going on. And I have been on the fake news setting for months and there are enough of them to give shouts on, but CNN? That’s like banning vanilla for being non-chocolate flavored. It almost makes no sense. Almost being the operative word. So I started to look deeper and by jove, I’ve got it. You see less than 24 hours before the ban CNN gave us an article named ‘The real reason for Trump’s pedal-to-the-metal approach on AI’ written by Allison Morrow. Yes, yes, his favorite kind of journalist, a girly girl that does not care about his ‘delusional magnificence’ gave us a few real questions to wander about and that could have been the reason for banning them (I merely said could). You see the story (at https://edition.cnn.com/2026/09/18/economy/trump-ai-economy) gives us a few hard settings. The first being “President Donald Trump is suddenly at odds with AI’s leading executives over the largely unchecked development of AI technology. And it may be because our economy can’t afford a slowdown.” A view I have had for some time and there is a chance that some are waking up to the real peril the United States its in. And I think it is the realisation that “Trump’s pedal-to-the-metal approach suggests he may be more concerned about a bigger question: What happens to the US economy if the AI fever breaks on his watch?” And I get it, all this fake AI and people might wonder what happens when this fake AI gets to show the weakness of its fakeness and starts asking (en masse) the questions the media (in a world according to Trump), needs to hide for the good of America. This setting has run its course and the problem is that these questions are coming to the surface of nearly all fields and there is not much that this president can do to prevent that from coming to the surface. He could ban them to the White House and have them fish behind the netting what have been fished clean. That is what he might be thinking, but the story isn’t that pretty. So when we get “There are a lot of ways to slice the metrics on just how dependent the US economy has become on AI (and AI-adjacent) spending. ING estimates tech investments dominated by AI and data centers account for a third of year-over-year economic growth in 2026. Goldman Sachs’ chief equity strategist recently told CNBC that AI investment is driving half of all the profit growth in the S&P 500.” But I have said it on several occasions. Considering that nearly all of the “AI investment is driving half of all the profit growth comes without a return on investment for close to a decade” so what happens when there is no coinage linked to these investments? That is the question that the media to the largest degree is mismanaging. Now we see one article that brings that to the surface and they are banned?

So has anyone looked at Stargate LLC lately? A planned $500 billion investment over several years, it was going to be such a beautiful solution, all whilst there is no return on investment planned for the better pat of at least a decade and it will (according to some) create over 100,000 American jobs, so in this age of mass redundancies. Did anyone consider what happened to that project which was last years great solution? 

So what happened to OpenAI (operational responsibility), SoftBank (financial responsibility and chairmanship via Masayoshi Son), Oracle, Microsoft, Nvidia, Arm, and MGX? I am merely asking, but in light of this CNN article, these questions also come to the surface. As such questions in the open and whilst CNN gives us “AI bulls believe it is the defining technology of our time, and that the stratospheric share prices it’s creating are just one of its many benefits. With widespread adoption in the future, the thinking goes, AI will turbocharge productivity the way the internet did at the turn of the century.” What matters now is that all this AI is fake and no one is wondering what happens over the next decade, because these data centers are in some form currency and when fake currency comes into the main setting of everything there is a bitter aftertaste and this is now seemingly surfacing. You see, the only real AI that we should embrace is now called ‘true AI’, but this is the AI that Alan Turing wrote about in his papers and if True AI is AI, then all the other puppies called AI become fake AI and that is the fear that President Trump has, because when the people realise that all the AI settings are fake, president Trump’s economy is collapsing near immediate and that is the real fear he has. So whilst he will come with all the film flam talks he can and how ‘amazing’ these AI players are, they need to see that all this fake AI is merely Machine Language with Deeper Learning and LLM in places are real solutions and they are at times great, but it is not AI, not even close and that is the setting they are all hiding. A sales talk that was placed in an overreaching setting and it s now coming to light. And this multi trillion dollar bluff is coming to bite all the players in the ass and whether it is a validated setting is beside the point.

And all along we now get OpenAI giving us ‘OpenAI reveals six more safety issues and unveils plan to disclose incidents’ (source: BBC) but first we need to conclude a few parts in the CNN article. You see we are also given “The icing on the cake, said Sonola, is the wealth effect. People with stock portfolios exposed to AI are feeling flush, and they’re spending lavishly — further helping prop up America’s consumer-centric economy. Whatever people’s personal beliefs about the technology, the money going into it is keeping the world’s biggest economy humming. If that money train stalls, the effects won’t be contained to tech investors on Wall Street.” Which is finished by “Last week, ratings agency Fitch ran a scenario imagining the economic outcome of an AI-related downturn, with US stock prices falling around 35% over six months, roughly the median decline of past financial busts. The result was that the economy would go into recession, with GDP contracting 1.5% next year. To be sure, there’s no guarantee, or even specific indication, that the music is stopping anytime soon, and Fitch noted that “a sharp decline in US equity prices is not our base case.”” Butter is the real danger, the US economy can never survive a 35% stock drop, I am willing to guess that even a 15%-20% drop in stock prices fall will basically end the US economy. That is the dark side of a $40 trillion billion bill with interest due every year (optionally paid in months) but that will end all of this quite quickly. 

So now we get the BBC piece and we get one little gem there. It is “In the blog, OpenAI detailed examples of its AI models misbehaving so they could achieve a task or succeed in a test. The incidents included the models generating instructions to get around restrictions imposed on them, hiding mistakes and fabricating information. The firm also announced a new system to track, investigate and disclose cases of models misbehaving, or “misalignment”.” Now consider that this is Machine Language with Deeper Learning and not AI. So when will someone ask the programmers what is going on? I reckon these people are filtered away into ‘protected’ jobs. But the question remains and the effect on OpenAI with its operational responsibility to Stargate LLC is largely ignored and these questions are surfacing now, not just by me, but all over the field. And the investors are starting to get worried about the money they put into this, because those investors will lose a lot more than 35%. So when did you last see any investor not worried about his investment? I’ll hold the egg timer, you go look and the answer will scare you, because all this is pushed to nearly every corner and these corners are quietly praying that no one will wisen up, because it is their livelihood that is under fire at present. We get Google Gemini telling us (yes, I see the hidden hypocrisy there) “Artificial intelligence isn’t just replacing tasks—it is actively fueling and creating millions of new roles while transforming billions more. Rather than a simple number of “AI-fueled jobs,” major economic and labor data point to a massive wave of job creation” but the smallest setting is not investigated. How to validate and verify  the so called AI data. So far there is not much of this going on and these are the massive requirements, because AI that runs on invalidated data and unverified data is by definition fake, so who is looking into that? Because if you cannot see these parts, what are you looking at?

Just a few little questions to ask and now wonder what parts did Politico get right? Perhaps it was ‘Poll: Americans say there’s a serious risk of AI destroying humanity’ three days ago. So as I see it there is something a lot more scary than the Epstein files. The knee-jerk actions of President Trump indicates this by his scared demeanor. 

Have a great day today.

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September 15, 2026 · 16:19

Changing the byline

That is the setting I see and whilst the BBC (at https://www.bbc.com/news/articles/cqgk5e2j0gg8o) gives us ‘AI ‘kill switch’ may need to be mandatory, Anthropic co-founder tells BBC’ a mere 5 hours ago. I had my thoughts. So, as we see “An artificial intelligence “kill switch” which can be checked by a third party may need to be mandatory for companies, a co-founder of one of the world’s largest AI firms has told the BBC.” I see something different. So when we get to “Clark said “most labs have different ways of being able to pull the plug”, including Anthropic, but said lawmakers may need to enforce having one. AI’s rapid development and fears over the risks it poses to humanity have been thrust into the spotlight by a series of warnings from executives and staff at AI firms.” And when we get to “Anthropic chief executive Dario Amodei over the weekend called for the pace of AI development to slow and be more closely monitored, as the company has done before, though some have questioned the motivations behind this.

Amodei added that any action to rein in AI development should be done “without sacrificing commercial advantage”.” Thoughts started to overwhelm me. Some people state that the setting is about “AI’s rapid development and fears over the risks it poses to humanity” I don’t think that is the case. I merely think it is what some will ‘present’ the setting that we are given and most people are willing to go along with that. There is however a larger concern. You see I have had my meetings with these AI boffins and they all have the same setting towards validation and verification that is in play. There isn’t any of it, and when it is there it is there in the most ludicrous basic ways. You see, there is just one step (just one) from AI hallucinations (which is a confident response from an artificial intelligence system that contains false, misleading, or completely fabricated information presented as fact) and it is seen as Invented statistics, historical errors, or nonexistent legal citations, as well as Citations to books, research papers, or URLs that do not exist. I have seen this and I have seen that the settings that this represents to court cases are numerous and we have seen n the news several settings. But the larger concern is that between that and an AI actually overwriting factual matters of any corporations is only one mere step and these fake AI vendors are insulating themselves from that fact by ‘employing’ a kill witch, so that they can avoid getting called into court by setting the stage of ‘Did you use the kill switch?’ And that  is the setting I see. So whilst we are given (by the BBC) ““Should you mandate for companies to definitely have a kill switch? Is that kill switch verifiable by a third party?” he asked.

“I think that’s the kind of thing society is going to want to know and might want to eventually pass rules around.” Anthropic, which was formed in 2021 by a group of former employees of its rival OpenAI, is currently at the centre of a debate around AI safety. Last week, a post from an artificial intelligence researcher who quit Anthropic over concerns AI could wipe out humanity went viral.” So is this really about “over concerns AI could wipe out humanity”, you do know that Cyberdyne is just a figment of the brilliant director named James Cameron, it was ahead of its time and we aren’t nearly there yet, but the kill switch scape goat is one way to counter the class actions heading their way and whilst some can’t be avoided, the larger concern is what will happen in 2027, because that will be the truncator of their wealth and they are seeing the stoplights and they want to insulate themselves from their fake AI. They rode the waves as much as they can, but the first blockages are showing and now the cautious people are rearing their heads. I see all the complacencies showing up (like figment court cases) and that is merely the beginning, but the setting that corporations factual data is overwritten or wiped is only one step away and I reckon that these people want to insulate themselves and as they are coasting their vessels of wealth towards sunny shores, they have no other option but to insulate themselves and their wealth. 

Funny that I saw these court cases come up a long time ago. I never saw this part, but this part makes sense. When your training data is based on reddit (whilst we are given “Major AI companies train their models on nearly all of Reddit’s public historical archive”) is this continuation of dangers weird or unsuspected? As I see it, when even one factual data is overwritten by some fake AI juiced up on reddit, the setting gets ugly in a hurry. And that is what these people are ‘misrepresenting’ and crying now for some kill switch, because the kill switch is not for the AI, it is their escape clause. So whilst you might doubt me (always a fair setting) I have written about the fake AI setting for the longest time. 

So someone asked me what makes binary AI surreal? I give them the same setting every time. Take any colored image (example 600 by 600 dots) and run it through plotter printing only black and white dots on a colored piece of paper (green, red or blue) then do it on the same kind paper and instead of black and white, add the option to do this in black, white and 16 greyscales. You will see that this image is much more precise and revealing. This is the setting between binary and trinary this is why all AI is fake and it gets to be worse when you consider that you need a lot more data describing in binary what requires trinary and that is why I was on this horse all along and I have been on it for over 10 years, but the players all think that they have the golden goose and I merely cannot see what it is. Well, It is ‘advanced’ predictive analytics. These AI cannot reason, they work the numbers, go with statistics and it is nice if it is a set field, when they go towards never encountered situations, it all falls apart. This is the weakness of these fake AI’s and it is not whether I hate AI, I merely don’t trust it, because it is not AI, and Alan Turing would have my back on this. 

So whilst you think that I am “Full of Sh*t”, which is your right. My predictions are given form through my blog and in 2025 I predicted that 2026 was the year of AI class actions and now we see “Broadridge’s 2026 Global Class Action Annual Report highlights that global class action activity recently produced around $4 billion in settlements across multiple jurisdictions from roughly 130 major claim-filing deadlines” as well as “According to the Duane Morris Class Action Review, the combined value of the top 10 highest settlements across all substantive areas previously crossed the historic $70 billion mark, showing how massive individual mega-settlements drive the ceiling of total class action value” and “In the U.S. and global financial sectors, recovery momentum has accelerated into 2026, with an increasing number of nine-figure and $100M+ securities settlements closing out the mid-year milestones”, as such my predictions are holding up neatly. And now these vendors need insulation and they are thinking (optionally correct) that a kill switch might take the dangers to their wealth away. And I get that these fat cats want to insulate their wealth and insulate the dangers to them, but the BBC should have a greater need to look into these dangers and that is why I took this article as an example. I reckon that it is not only the BBC going after this. As I see it, Dario Amodei, Sam Altman and Elon Musk are all in agreement to slow down, but I reckon it is because they are seeing the dangers heading for their assets and they are in it too deep (as I personally see it). 

As I see it, this is the heading that we are seeing happen and soon there will be some (optionally fictive) revelation and that is when the stage changes and we will see massive amounts taken out of the AI field. When that happens there is no Jensen Huang claiming that there is no bubble, the court cases that will be an exploding setting will shut that down in a hurry. 

But what do I know? So you all have a great day today and I will be watching from the docks watching the good ship bubble explode near the parking zone. And I can say this whilst I have been preaching these dangers for nearly a decade. Where exactly where you a decade ago? Consider this setting and enjoy your day. 

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August 11, 2026 · 20:24

Is Grok losing the plot?

That is the actual setting and it takes a little space to explain this part. So the other day I was ‘watching’ Elon Musk giving us the following explanation: “Elon Musk predicts that artificial intelligence will exceed the sum of all human intelligence by around 2031, leading to a profound transformation where digital work is automated rapidly, human control shifts within a decade, and ubiquitous robotics trigger an unprecedented global economic boom” and some might say that at $1,000,000,000,000 he is likely nothing more than a 2nd hands car salesman (a very well paid one), I actually don’t care, because all AI is fake AI and yesterday I got some evidence on all this. 

So, why get Elon involved? Well, he owns Grok and Grok was the setting of it all. You see, I tend to pass my articles through Grok. In part for the entertainment, in part to see if Grok saw what I was seeing and at times to see what it sees more. So what happened? It started with my article ‘Flame on’ (at https://lawlordtobe.com/2026/08/09/flame-on/) nothing special, but Grok ‘devaluated’ this to:

The X post from @lawrencevanrijn on August 9, 2026, consists solely of a link to his blog post titled “Flame on” on lawlordtobe.com with no accompanying text or commentary.
The linked WordPress article features the title “Flame on | Lawrence van Rijn – Law Lord to be” but contains no substantive body text, headings, or visible content beyond standard site elements like comment sections and navigation.
Consistent with the author’s IT and IP law background, “Flame on” likely serves as a metaphorical title possibly referencing internet flaming jargon or igniting discussion, though the post currently appears incomplete or placeholder-like.

Read the story and you start seeing the issue. I also passed this through ChatGPT (my very first visit) and that gave a little bit tedious, but a real good assessment, attacking the article on what it saw (whilst it ignored the setting that it was a blog and not an academic paper). As it was (fake) AI I tried regenerating the output, but it was all useless and even less useful than what you read above. I tried Google Gemini, but that one doesn’t seemingly accept an internet link (I might not have used it correctly) but the simple setting is that Grok might have been losing the plot. So I used it two subsequent days and it all looks decent, so I tried it again onboard ‘Flame on’ and again a failure. 

So now we get to the insanity setting that doing the same thing and expecting different results might be insane. But as I see it, this is all DML (Deeper Machine Language) and LLM (Large Language Models) in action and there is enough setting to optionally expect a different result. There is also the seating that all this is programming and not AI. As such errors are fixed and more changes are made making this an optional never a static setting. So whilst I would love to blame the programmer (and it likely is) there is a setting we cannot ignore and in the past I have seen that Grok does not align to multiple viewpoints correctly (and I have 4 examples somewhere to show it cannot decently do this). So whilst we agree that this is not a complex setting, it is programming, pure and simple.

I have seen my share of lever programming and whilst we can agree that LLM settings are getting clever, it is not AI, nor will it ever be (as I have stated a few times in the past). So whilst I applaud ChatGPT on the ability to ant-fuck the equation (a Dutch expression), it is clever, optionally wholesome, but not AI. So whilst we now see that too many people are buying into the AI setting and even accepting that it can go rogue and hack settings, all whilst it is programmer controlled, as such, these players are likely adhering to state players and all this is needed to gan the insights of corporate IP and seeing how they could turn a dime. This and this alone is why I pushed all my IP to public domain and as I would never gain coins from any of this, I made it public domain, so that the right people have something to work on. My legacy to leave the world.

So is Grok losing the plot? It is a fair question and whilst Grok could not analyze my piece and ChatGPT could, there is a clear setting that this is optionally the case. It does not matter that it only failed once. If it was an AI, it should not ever fail once. That is the reality of a real AI. It gets it right 100% of the time of there is data and my article is data. It is when there is no data that an actual AI gets it right over 98% of the time and that is not happening either in many cases, as such I call all AI fake AI.

That is the setting and whilst some will debate this (and disagree) there is plenty of evidence around to say that I am right, A stage we cannot ignore and whilst some (optionally correct) disagree that Grok has not lost the plot, the seating is out there and the evidence is all out there. And these ‘captains of industry’ have to agree that their solutions is riddled with issues (as they are programmed) or that they are invoking the AI label to get away with whatever they can. So whilst some might agree with the setting of “exceed the sum of all human intelligence by around 2031”, it is a setting that I disagree with, because having all the data of every book and every encyclopedia is nice, but it is merely clever LLM programming. Exceeding the sum of human intelligence requires to make correct leaps of non data, extrapolation of non existing data (like speculation and presumption) and these systems still aren’t able to do that and I wrote about it in the past and it will require an optional 2 decades to do that and that exceeds the timing point of Elon Musk by well over a decade and personally I believe that it will not even be correctly possible without an Epsilon processor (a speculative trinary processor) because the setting of Null, True, False will only incur additional and more errors making ‘their’ setting of AI less and less reliable and that is before we validate and verify the data these systems have and they haven’t worked that out yet. As I see it the first step is getting the Epsilon processor online which will give us the option of Null, True, False, Both. That is a first step and none of these systems have that, because the processor doesn’t exist yet (perhaps the Dutch physicist is on route, but I have no idea where they are). So in all this we might get more and more of systems losing the plot and that is whilst they have all the data and my article is less then 3000 characters. Consider that when you consider these AI systems being clever. 

So have a great day and perhaps I have more (optionally) sneaky stuff too hand you in under 20 hours. 

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August 2, 2026 · 15:54

Considering the greed of others

This is where I found myself this morning. You see, I have published over 4000 articles and others have been Ising them to train their fake AI systems. Training LLM settings and so forth. As such (and according to law and at https://hwlebsworth.com.au/feeding-the-machine-how-us-courts-are-drawing-the-line-on-ai-training/) we see ‘Feeding the Machine: How US courts are drawing the line on AI training’ where we see “The accelerating development of generative artificial intelligence (AI) has forced courts to grapple with novel and unsettled questions of copyright law. Central among these is whether the use of entire copyrighted works to train large language models (LLMs) without the author’s consent constitute infringement of those works.” Which works in my favour and it comes with “The datasets used to train AI models often contain digital copies of media such as web pages, books, videos, images and music. These media are often the subject of copyright protection, which means that their use to train AI models requires permission from the copyright holder. Permission is required because AI models must ‘copy’ the protected material at least temporarily to undertake the training process.” You see, from May 11th until now my articles have been used for ‘AI training’ at least 33,750 times and a lot more before that. As such I see an opportunity for me, myself and I (as such I am a sneaky trinity) so as we are given “The Interim Report then went on to discuss Australia’s ‘fair dealing’ regime, which allows certain uses of copyright works without the need for license from the copyright owner, but only for certain specified purposes, such as research or study, criticism or review, or parody or satire. The Interim Report seeks feedback on expanding this regime to include fair dealing for the purpose of text and data mining, which could more squarely legitimise AI training activities in Australia.

Where the Australian ‘fair dealing’ regime only applies to certain permitted purposes, some other countries, such as the United States (US) have a broader ‘fair use’ doctrine, under which any use of copyright material may be permissible provided that it is considered fair, without reference to legislatively-permitted purposes.” So, as I see it, money should be coming my way. And as the article in HWLE lawyers state. The setting of “In June 2025, the US District Court for the Northern District of California issued two decisions in Bartz v Anthropic PBC (Bartz) and Kadrey v Meta Platforms Inc (Kadrey), that directly addressed this question. While these rulings suggest that US courts may accept fair use as a defence to AI training, their scope is narrow. Both were decided at the summary judgment stage, and as the Judge in Kadrey noted, ‘the consequence of this ruling is limited […] to the rights of these thirteen authors‘. Accordingly, the significance of these rulings remains provisional, with the scope of fair use in the context of AI training to be more clearly defined as further cases are determined.” So, to get it clear, those are American judgements, but they have a much broader setting of ‘fair dealings’ then Australia has and my thought process is a little bit in the setting of “You can either hand me a generous settlement, or if needed I will get it through the law”. The second setting s long and optionally tedious. But as I am looking at closer to 50,000 transgressions the taximeter starts adding up. Now, I have no faith in 50,000 times 1.5M, which would be nice, but is ludicrously unrealistic. But the idea of $25,000,000 per corporation seems realistic. You see

“In Bartz, Anthropic the developer of the ‘Claude’ LLM, assembled a centralised digital library of books containing both lawfully acquired works, scanned from purchased physical copies, and unlawfully obtained works downloaded from unauthorised torrent websites. Authors alleged that their books were included without permission and were used both to train Anthropic’s models and for other purposes. Alsup J considered the two uses separately, ultimately holding that the use of works for training constituted fair use. However, Alsup J found that the use of pirated copies to build Anthropic’s centralised library was not justified under fair use, rejecting Anthropic’s argument that such copies should be treated as training data, and denying summary judgment on that issue.”

And:

“In Kadrey, Meta trained its ‘LLaMA’ AI models on datasets including those obtained from ‘shadow libraries’ such as Library Genesis and Z-Library. These datasets were downloaded via torrenting, incorporated into the training process, and discarded thereafter; unlike Anthropic, Meta did not maintain a persistent digital library. Thirteen best‐selling authors alleged that this constituted copyright infringement on a class‐wide basis. Chhabria J also found the training to be fair use, but adopted a more cautious approach, observing that ‘future evidence of substitution or harm to licensing markets, particularly where works are unlawfully obtained‘ could warrant a different conclusion.”

So we get to “While both courts concluded that the training uses fell within the scope of fair use, their reasoning diverged in certain aspects. Alsup J emphasized the transformative purpose of training and discounted speculative claims of market harm, whereas Chhabria J stressed the potential for market harm arguments and evidence to alter the analysis. These decisions have no binding effect in Australia, where there is no general fair use defence. Nonetheless, they highlight the emerging tension between protecting incentives for human creativity and facilitating technological innovation; a tension likely to intensify as generative AI becomes further integrated into creative and commercial practice.”

As such, I felt really good this morning. As this shows that I might be heading to a nice bank account. And as it happens to go (source: AP News) we get “A federal judge approved a landmark $1.5 billion copyright settlement requiring Anthropic to pay thousands of authors roughly $3,000 per book for using pirated digital libraries to train its Claude AI model”So as I see it (a flawed analogy) 50,000 times $3,000 get me $150,000,000 which sounds really nice. I reckon that this is where the art of seeing the diplomatic bounty comes into play. It seems that more than one transgressed on my work and would it be so wrong to go for $25,000,000 per transgressor? Of course, the long road would be more rewarding, but that seems like a greed driven way. I feel more for easy (well rewarded) solutions. And there are upsides to entering retirement with a somewhat fat wallet. Retirement comes across as a lot more fun that way. 

But I am getting ahead of myself, next step will be getting an impartial party (what a weird name for a lawyer) to check Grok, xAI, Gemini, Anthropic, OpenAI, MetaAI, MicrosoftAI (always happy to knock coins out to their coffers), AWS AI (and others) to see whether their training data reveals the presence of “www.lawlordtobe.com” because that starts to process as I currently see it.

Well, that mental joyride was fun to have, but I did say the class actions would be prudent in 2026, I might as well join that cause for the benefit of poor little me and I have caused. I might be one of the people that refers to a church mouse as a decadent rich bitch. One must always keep humour about the premises.

Have a great day.

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August 1, 2026 · 21:55

A setting to consider

I saw an article that the Conversation released yesterday (at https://theconversation.com/sam-altman-says-were-in-the-singularity-with-ai-heres-why-hes-wrong-288514) the headline reads ‘Sam Altman says we’re ‘in the singularity’ with AI. Here’s why he’s wrong’, I have my own ideas of that Altman fellow and it is not all good. But this article reads right or better stated, it reads into my train of thought and I thought it was important to counter these thoughts whilst adding my own. So here goes:

“Days earlier, OpenAI had disclosed that two of its artificial intelligence (AI) models, during an internal cyber security evaluation, had escaped their sealed testing environment, reached the open internet, and broken into the infrastructure of the AI platform Hugging Face, which confirmed the intrusion. But what exactly is “the singularity”? And is Altman right that we are in it?Mathematician and science-fiction author Vernor Vinge defined it in 1993 as a point at which machine intelligence exceeds human intelligence and begins improving itself, triggering an acceleration so rapid that humans can no longer predict or control it. The singularity has two features. It is recursive: the system improves itself over and over again. And machine intelligence exceeds human intelligence. The kind of systems Sam Altman sells don’t deliver on either of these features.”

I am on that same setting. The easiest part is that all the fake AI (which is what I call it) depends on data and in a few cases it is not realised yet. However, the biggest part is that it relies on binary settings and that is no way to get any True AI. So to counter “It is recursive: the system improves itself over and over again” it cannot improve on data it doesn’t have, people extrapolate what they do not have or do not know. These fake AI settings cannot do that. It literally cannot create data, it can merely replicate based on data it has and that is the second setting we see here. Lets get a simple setting of 10K data and variables. You will need 1000K spaces and that is merely on 10,000 variables and 10,000 parameters. And the nasty part is that most of these systems cannot deal with NULL’s it draws a blank quite literally. The side setting to this is that gaps are created leaving more and more unaccounted for. As I personally see it, the moment the Epsilon processor is completed (the mere stage is that the evidence was created a decade ago, but I reckon it will be a decade before that processor is real. All this is part of the setting to prove that all these fake AI systems are not doing what it needs to do. In addition to this, I have spoken with insiders in this field. They (reluctantly) admit that there is no real setting of verification and validation at present and the fact that all this is in a binary setting merely makes it harder and the fact that this is already near impossible, the gaps are increasing making these systems error prone. 

Then we get “These deep neural network algorithms get pre-trained with vast amounts of training data. By the time you use one of them, the network itself is frozen in time. Every one of its billions of internal functions and weights – or “parameters” – is fixed. These AI models cannot change (or “learn”) while running. The model that broke into Hugging Face was identical afterwards to what it had been before. It learned nothing from what it did. Making an AI model smarter requires another training run with new, human-curated data, tens of thousands of specialist chips, and enormous energy.”

So with “Every one of its billions of internal functions and weights – or “parameters” – is fixed.” Is dealt with above and I used merely 10,000 and not billions, so you start getting the issue, there is more and more data, none of this is verified or validated and as the data grows, so do the gaps. And these gaps are starting to get nasty. We are given “The model that broke into Hugging Face was identical afterwards to what it had been before. It learned nothing from what it did” the important part is the “learned nothing”, which gives rise to the (flatly called BS) that Sam Altman is giving us, because if there was a singularity, something would have been learned, that is seemingly not the case. 

So when we get to “Nor do these systems hold any goals of their own. They act on goals we hand them. Even AI agents – systems that run an LLM in a loop to work through complex tasks step by step – do not hold any goal internally. It has to be stored outside the model and fed back in with every single prompt cycle. Remove the loop, the scaffolding and the prompt, and nothing happens inside of it.” As well as “And yet, it has been trained on more text than any human could read in a thousand lifetimes, and will outperform nearly all of us at drafting a contract, writing code, or explaining a diagnosis empathetically. So, which is more intelligent? The question does not compute. There is no single ladder that humans and machines are climbing. AI already vastly exceeds us at some tasks, while being hopeless at others any child can do.”

I like the part “while being hopeless at others any child can do” because that is the setting. You see children have an innate ability to extrapolate, ask any mother when it learns that the child gets attention when it cries. It worked that out and none of these AI systems can do that, because it is designed to work things out for itself. And whilst the gaps increase, whilst non verification and non validation is key we see what some call hallucinations. I tend to fall toward a 1985 error code (from the CBM64, a system that has no AI ability, at best some ML, no DL) I call it “?Redo from start” is the a crass setting, but these systems are programmed to hand you ‘results’ the programmer does not like anything like “I cannot know this” (a wild speculation by me) and all this comes towards the error prone setting I gave earlier and it merely comes worse. 

Then we get “In the end, the Hugging Face story points to a gross failure of security governance on OpenAI’s behalf, not an emerging super intelligence. This is why the framing of “agent going rogue” is so problematic. It elevates and blames the technology, but excuses OpenAI’s engineering.”

I raised this setting on the 25th of July in. ‘Rerun anyone?’ (at https://lawlordtobe.com/2026/07/25/rerun-anyone/) which also links to ‘Is it real or is it media?’ The day before. So, I raised that part a week ago and I have done so a few times. They are all ‘blessing’ the engineers, but it is there where the problems begin and I am not giving the engineers a hard time, trying to type Japanese in a single byte language and you see the problem, it is a double byte language and that is the setting for these AI systems as well. It relies on binary whilst more is needed and the engineers are pushed to do the impossible (as I see it). So this is even before verification and validation. So the errors are stacked onto the errors and it goes downhill from there. 

The story ends with “The machines are not waking up. They are doing exactly what we built them to do, extremely fast. Because they are probabilistic they sometimes run in directions we forgot to fence off. That is worth worrying about. We need guardrails, governance, and most of all, education – so we start worrying about the right things.” 

I believe that these systems can never wake up. As I see it, these systems require 100% focus and they are giving it to a system with narcolepsy. How long until the system stalls, fails and falters? And it is not a nice setting to have, because this can falter at any time, the data gaps merely make it happen faster. So when you see that a system is handed billions cases of data you need to wonder where the gaps are and what data is validated and verified. The answer might surprise you and that is where the dance floor gets wobbly. 

So this is how I see stuff and other articles give you more on several foundations where there are issues and I commented on them, feel free to embrace it, or reject it. I am fine with that, several options are presumptions and I have decent knowledge of validation and verifications, which is why I asked around on this. There is more on all this and it is spread over a year of writing. 

So have a great day and feel free to not rely on any AI systems for making coffee, because cold coffee is so overrated.

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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 23, 2026 · 10:33

What would you do?

We get that is the ‘dangerous’ question, but consider your situation when you are a mere step from becoming broke (or whatever a nation calls itself) you have no credit left, no goodwill left and you need to get your defence settings up (in a major way) as such the United States is set into a almost unbearable situation where (according to several newspapers)  they are requesting ‘Iran war has cost US $37.5bn so far, Hegseth says, as Pentagon seeks billions more’ (at https://www.bbc.com/news/articles/c70gek2kqyno) beside the setting that as I see it, that almost 38 billion amount seems to have been stretched, the request of “Hegseth told the Senate Appropriations Committee it was urgent that lawmakers approve another $87bn in congressional funding for the Pentagon, with $67bn of that destined for operations in the Middle East.” I am not debating the amount, although seems to be a little far fetched, especially as in 2025 the num bars given were “The U.S. national defense spending for fiscal year 2025 totaled approximately $919 billion to $954 billion in total outlays (with the initial Department of Defense request starting around $849.8 billion)” setting the need for Iranian oil well beyond 10% of the total and “The White House asked Congress in April for $1.5tn for the Pentagon over the next fiscal year, which would raise American military spending to an all-time high in the modern era”, where we consider that the US defense forces are at that stage loaded for bear (as expressions go). And compared to 2025 it exceeds 100% of the previous year, as such I am facing questions. It makes sense in my consideration that the United States is about to buckle and they want their defenses to be up when it does. So whilst we are given “Hegseth said current and future training for military members would need to be cut without the funds, as he repeatedly blamed former President Joe Biden’s administration for what he said was an underfunded military. The most senior Democrat on the committee, Patty Murray, pushed back on the funding request, saying it “does not make a lot of sense”. Asked by Democratic Senator Dick Durbin if he had an estimate for how much the war in Iran has cost so far, Hegseth gave the $37.5bn figure.” I can see both sides off the argument, especially if the United States would be forced to forfeit on their loans and when the US Treasury bonds are dumped by others (which is at present set to almost $9.37 trillion) the setting that this could be dumped on the markets whilst also seeing over a trillion dollars in interest bills. I reckon that 2027-2028 will become a messy United States to be sure. As most of these settings collapse, a strong defense is pretty much all that stands between the United States and circling vultures. 

As such I see the requests of Pete Hegseth, whilst not debunking Patty Murray on any of this, and in all this the blaming on all this on former President Biden is becoming stale to say the least, especially when too many truths are getting twisted in all this. As such a headline given 11 hours ago where we see ‘The USA has collected 13 billion dollars from Venezuela’s oil sales, but has not provided details about the destination of these funds.’ As such there is a concern that these finds are handed to the US defense coffers, as such the 37.3 billion might have to be lessened by $13 billion, or did you forget about the Venezuelan clambake? And in all this, what are the total numbers of expenditure in troops, material and ammunition in all of this? Why wasn’t this raised on numerous occasions? Or is whatever went under the bridge no longer an interest to the media? All these questions and there is a consideration that the $13,000,000,000 was used to keep the United States afloat. It might be merely my view, but I am unwilling to consider that none of the media has considered that, or are they driven by Epstein files and digital dollars to make their revenue?

So, You see, the questions are piling up and the setting of a ‘State of the Union’ because as I see it, these parkers were up for some time and the ink from the date of February 24th 2026 is barely dry. As such the setting of the speech, which is supposedly giving the nation “Outlines the condition of the nation, reviews the administration’s achievements, and proposes upcoming legislative priorities” might have missed the marker by at least a mile and when you consider that the “The current “golden age of AI” is an era of rapid technological acceleration driven by generative models, deep learning, and massive infrastructure investments. This period has radically lowered the barriers to software creation, automated complex workflows, and sparked national science initiatives like the White House report on” would be missing the mark by at least two decades and that is the short and sour of that equation, as such there is no golden age, because (as I see it) that revenue is being pushed back and forth by 3-4 corporation with Nvidia being the largest winner. So there is a larger default and in that age Pete Hegseth is requesting an amount going towards $1,500,000,000,000 and that is bedsides the Stargate funds, which is targeting up to US$500 billion in total funding by 2029. It was officially announced by OpenAI, SoftBank, Oracle, and Abu Dhabi-based investment firm MGX. And when this is set in the scales with a estimated debt of $39,588,242,618,845 the numbers are not adding up. It is almost like these debts are ‘compartmentalized’ though people that seemingly don’t talk to each other and they are taking turns talking to the United States Department of the Treasury. I wonder how Scott Bessent is keeping all that separated and apart for a speculative reporting. Did you not wonder that? 

In all this I wonder how some parties are avoiding the limelight in all this and the requests by Pete Hegseth brings it all to the surface, because a journalist should have had his quills up (those without a text editor) and that is seemingly not happening, because we would have read this and whilst one source gave us: ‘The US printed more than 3.3 trillion dollars in 2020 alone and it matters today’ whilst I cannot deny this might have happened, there is no valid source or a newspaper who is supporting that part and if that would be true, the dollar is due for a decent downside, because that would be added to the $39 Trillion debt and I raised this in ‘Is it that simple?’ With an exaggerated Weimar example (at https://lawlordtobe.com/2026/07/19/is-it-that-simple/) I remember that, because I had a DM100,000,000 note, which I hope would be enough to persuade some gorgeous lady to have sexual intercourse with my 16 year old body (we are delusional in what we can) and not weirdly, no one was taking that bait. But that is for another day. Still that setting is out there and all the facts are not events that took place in the last few weeks, as such the State of the Union might have been a hollow ship and when we consider rallying that my setting for a imploding United States might be on track to be 11-23 months from now. And as I see it, the Pete Hegseth request as well as the clambakes towards Canada (51st state), Greenland, Venezuela and Iran snow bringing too much to the surface and that is not a good thing. Because the United States needs friends, it desperately needs them and as I see it, they alienated allies they had, busted up economic options and as I see it, what was intended for the coffers of the United States, is now headed towards Canada (making me happy to a larger degree). And as China is now infringing on options that had put the United States in the first Column, China is now moving into and leaving the United States in the third column (a sales term). As I see it, the Kingdom of Saudi Arabia and the UAE is putting their options towards tourism draining the United States even more and all this is adding up, whilst some costs and expenditures are not voiced correctly (as I personally see it), as such the United States is in a bad place and I ask you: ‘What would you do?’ Because the simple truth is that the one priority of the United States is the United States, that much anyone should accept. But how will they get there? So whilst one source (PBS) is giving us “President Donald Trump’s financial disclosures revealed that his business ventures generated over $2 billion in 2025 during his first year back in office—more than triple his prior income. These unprecedented financial gains, heavily driven by cryptocurrency projects and branded merchandise, have intensified public debate and ethics scrutiny regarding potential conflicts of interest” we are facing two settings. Did he break any laws (I don’t care) and the second setting is “Are the United States is much deeper waters pertaining to the debt levels than anyone is considering?” Because that part matters, it matters for the Commonwealth and it matters to the EU and they need to either get stronger together, or seek some kind of an alliance with a place like China. And I think that this might be the case as the China bashing through places like LinkedIn is getting stronger and as LinkedIn is Microsoft, it brings the seating that this might be the reality we have to face. 

Feel free to deny or debunk my views, but there is too much out there and I am merely keeping a tally of what is being missed by the media at large. 

Have a great day today.

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July 18, 2026 · 20:14

The unanswered question

That is what I see. I saw all the Microsoft articles pop by and it made me wonder. It is not that they are so great, not in the slightest. So, what brought this about?

First there was ‘Bethesda on Elder Scrolls VI, Fallout 5 Xbox exclusivity: ‘It’s too early to comment’’ (Source: TweakTown) which gives us “Todd Howard says it’s too early to comment on whether The Elder Scrolls VI or Fallout 5 will be Xbox exclusives. Bethesda announced four new Fallout projects, and Microsoft plans yearly exclusives (2026: Gears of War E-Day; 2027: Clockwork Revolution). Skyrim has sold over 65 million copies; Fallout 4 over 35 million.” We then get ‘Xbox Promised to Focus on Fallout and Elder Scrolls. Then It Fired the Teams Making Them.’ (source: Tech Times) This gives us pretty much the same info, but there is one difference “Former Bethesda project lead and Something Wicked Games CEO Jeff Gardiner confirmed 35 U.S.-based Bethesda Game Studios workers were cut on July 6. The OneBGS union, which represents Bethesda workers under the Communications Workers of America banner, reported at least 12 additional cuts at Bethesda’s Montreal location. Worker Adjustment and Retraining Notification Act filings, public records pulled from state workforce agencies by Game Developer, confirmed 22 departures from Bethesda’s Austin office.” And with “The first 1,600 departures were painful. The announcement that another 1,600 more will follow by the end of fiscal year 2027 transformed pain into dread. People who kept their jobs are not experiencing relief. They are waiting.” This is setting the stage for another setting, but about that later. So then we get to ‘Elder Scrolls 6 gets first update in months from Bethesda’ (source: Gaming Bible) where we see “To say that The Elder Scrolls VI has been a long time coming is an understatement. Bethesda announced the highly anticipated fantasy RPG first during E3 2018, a time so long ago that the gaming convention no longer exists. Since that time, we have had small updates here and there, but we’re yet to learn of its release date, let alone seeing a gameplay trailer. All we’ve seen so far is the cinematic flyover trailer from the aforementioned E3 eight years ago.” And as we are given at present is that “Bethesda Softworks’s estimated annual revenue is currently $382.9M per year” and as Bethesda was part of a $7.5 billion buy, we have to ask the first question, if it takes 19 years to break even (and I am not adding the interest percentage for the loan. And if this includes millions of copies for Sony Consoles (PS3,PS4,PS5), I do not get the comment from Tod Howard “it’s too early to comment on whether The Elder Scrolls VI or Fallout 5 will be Xbox exclusives” with the Xbox at a mere 35 million Xbox-X consoles, the entire endeavor becomes nearly unplayable and as I see it, the value of Bethesda goes straight into the toilet. I saw a few other numbers, but I do not trust them as they seem massively pro Sony, I would like to see the real numbers. So with the staff of Bethesda in a caving morale setting, but the one question not asked is that Activision/Bethesda costs almost $84,000,000,000 and there is no way that this is making the money to validate such a purchase. I think I know why they did this. The previous boss wanted everyone to run to Xbox, a nice slideshow, but not a reality. Sony had too much appeal with the titles they have and I opposed the setting. Don’t get me wrong, Microsoft did nothing illegal, merely wrong and as they are figuring out just how wrong. I wonder if they are doing the same thing a Dutch bank did a decade ago. But it all that bad debt in some bank and let that go under, with all the debts attached (a wildly speculative idea from me). So as we are given half truths incomplete pictures, So as Gaming Bible gives us ‘Fallout 3 and Fallout: New Vegas remasters confirmed by Bethesda in huge studio update’ we can see why they are doing it, Oblivion 3 was a huge success (as I see it) they need the other two greats to be successes too. Optionally they might set this to the Switch 2 as well. An acceptable thought. But as I gave the world gaming IP to counter (hopefully equal) Fallout and Oblivion there would be a setting with the same population and more options. This is what innovative thinking brings and I created new ideas, new settings and of course on a non Microsoft system. It was the only way the other makers got the IP for free. I tend to ave a mean streak at times. Microsoft messed with the tranquility of gamers and I handed all others new IP (for free). As such there is a new setting. So, don’t think it was against Bethesda and all gamers will love these remade games (especially on PlayStation 5) and I am happy for Bethesda. But as I see it, Microsoft is done for. They wanted Gaming to adhere to their settings of Business Intelligence and their marketing machine and they anded up with a 84 billion dollar anchor around their necks. 

So as we are now seeing unions and others having a go at Microsoft, it is merely losing its OpenAI Microsoft’s revenue-share demands, though Microsoft remains a major shareholder and primary cloud partner and as the class actions add up, that 84 billion dollar anchor might strangle their board of directors (one could only hope) and as more and more people start seeing that all AI is fake AI, the doors of opportunity will close and the savvy BI people will start to realise that they are not gamers and that branch of Microsoft will close on them.

So, am I crazy? Am I seeing what some cannot, or am I merely delusional? I cannot rule that out, because only a crazy person will consider themselves to be completely right all the time and I could be wrong, but the signals are there and the media is no longer the investigative party they once were, they merely claim it now, but it is laced through a path of digital dollars and that is not an investigative setting.

So, as we are given ‘Xbox Promised to Focus on Fallout and Elder Scrolls’ and then they did away with 3,200 positions were eliminated across Microsoft Gaming (not merely Bethesda) and as we see ‘Unions File Unfair Labor Complaints Against Microsoft Over Decision To ‘Unlawfully’ Fire Xbox Workers’ we see that the hardship for Microsoft is nowhere near over. And I reckon that 3200 positions will affect a few more development houses. So are these projects made redundant? In addition we see ‘Cracks are starting to show in Xbox Game Pass after Microsoft removed a previously promised first‑party game it literally owns’ (source: windows central) as such I reckon that more class cases towards Microsoft will come and if I have my feelers out correctly, they will start this year and likely more than one class case, so if you are Satya Nadella, how does that $84 billion anchor feel now?

Have a great day and remember, if you are an Xbox Gamer, the Nintendo Switch, Nintendo Switch 2 and the Sony PlayStation 5 are perfectly valid options and there are 312 million gamers on these three systems and when you think of this that small cluster of Xbox Gamers does’t seem that big after all and that was clear long before Phil Spencer left. 

So have a great day and consider whatever console you select, enjoy the games you play, because joy is a first setting of a gamer and you need to protect your ability for joy.

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