Tag Archives: AI

November 5, 2026 · 11:17

Nothing comes for free

A mere 360 minutes ago we were ‘alerted’ to ‘How to opt out of Meta using your Facebook and Instagram posts for AI training’ (at https://www.abc.net.au/news/2026-11-05/meta-facebook-instagram-changes-using-data-to-train-ai/107335708) and we see “There was a furious public backlash in mid-2024 when it was revealed Meta was using photos, posts and comments stretching back to 2007 to train its AI”. Now I have a decent ‘philosophy’ “Nothing comes for free” and even sunlight now gets a charge. As for Meta, I dropped it from my list after they acted with levels of stupidity and as such I went ‘bye bye Facebook’, I never used Instagram. I am not that kind of a person and there was a chance I might get arrested for blackmail under the guise of “Pay a Bitcoin or I’ll publish more pictures of me” as I have been told that people pay serious money not having to look at me (or hear me sing for that matter). As such Meta is not an issue. Although, should the evidence from some of the class actions bear fruits, I might hit Mr. Zuckerberg up for a few millions (preferably over $15 million post taxation). But that is a matter for another day.

So basically we are given “Meta has quietly introduced a way for Australians to stop it from training its AI on their user data, but the company never announced the change. An “objection” form has been available for more than a year, but digital rights advocates believe Meta does not want people to find it.” Im in the middle of that, as Facebook became so much more complex the statements from digital rights advocates might be true, or might not be exactly accurate. It is up for debate. So whilst we are given “But ABC News has learned an “objection” form has been available locally since July 2025, buried within privacy settings. “You have to go digging through their privacy policies and their support pages … certainly they haven’t been doing outreach to users,” said Tom Sulston from Digital Rights Watch.” Here my response is that this is a free service and whilst many people come to the comedy moment in the senate hearing where Zuckerberg tells the senate “We sell ads” there is a clear setting that their would be more, there is always more, especially as Facebook had $200.966 billion USD revenue in 2025. I still giggle when I opted for this in 2002 to my bosses, they told me to stick to my work. Don’t worry my idea was not as advanced as Facebook was from the beginning and I am not holding any sour grapes against Zuckerberg or anyone. I merely had an idea The fact that I can look at my former bosses seeing the millions they passed on, I get a good smile on my face and I have had over a dozen ideas in the mean time, so I am happy (still poor though).

And whilst we see “And you can understand why. There’s a commercial imperative for [Meta] to get their hands on as much of our data as they can.” And how is that different from what Microsoft does? Lets not forget that is not a freebee. We need to pay for that software and whilst we ponder “The objection form has been available in the EU since 2024, but the ABC has confirmed that no separate announcement was made when it was added in Australia a year later. Nor have there been any reports of users being notified directly by Meta.” And I come back with. This is a free service, so why do they need to? So, whilst I get some of the opposition, the setting of “So it lets them meet some obligations … but at the same time, it doesn’t really fundamentally change anything.” I am of the mind that a free service leaves ‘obligations’ at the front gate. When they start charging $2 a month (or perhaps $5), the setting of ‘obligations’ becomes an actual reality.

So as I see it, we see a lot of hay and no results. I reckon there is a lot more to be had going after these US politicians who have been filling their pockets whilst leaving veterans and victims at the side of the road. At that point we see that there was an opportunity for Meta and they took it, offering a free service. It is everyones favourite setting, but they never want to hand over anything or pay for the privilege. And not once did the ABC article mention the word ‘free’ because that implies that you handed over rights. Is there a case that Meta abused that freedom? Perhaps, but that takes massive amounts of data to get through it all and give us a better judgement on it all.

Have a great day today.

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November 4, 2026 · 20:59

Off topic

There was an advertisement I saw (I think it was in LinkedIn) and it grabbed me to some extent. It was an advertisement to get a job at Claude walking of kids shows. It was an idea that has merit and more over, the implications. Could be a lot further than a kid show (but you have to start somewhere) Now I have said over and over aging that ll AI is fake. But most of these graphical fake AI are working on the premise of DML (Deeper Machine Learning) and at times in conjunction with LLM (Large Language Models) it does not make it AI (or even Fake AI) but it becomes a tool with applications and a growing setting of traction. I softly spoke of it in ‘Fat of the meat’ two days ago (at https://lawlordtobe.com/2026/11/02/fat-of-the-meat/) moreover, I thought it might give my scripts a new life as such it goes beyond kids shows. And the application could go towards Saudi Arabia and the UAE as these productions could be made in local languages. Or with subtitles. Another setting that could spell life for some scripts. At present I have two ready and the working setting to two more. As such I would contemplate this (if it could work on a MAC) a whole range of traction that Claude could gain. They seem to be heading in that direction anyway and when these scripts are absent of a lot of production costs, the setting increases, because when a production has a lack of overhead, there are a lot more people easily swayed to give it a chance. I am not hijacking away actors, not special effects as they script was at first rejected. But I also see that there are thousands of rejected scripts. Some might be actually good and now a new terrain (optionally with Oscars) is created. As such, why am I (likely the only one) considering this? Perhaps the makers of Claude are already on that page, they merely lack the settings to make it work.

As I see it, it is also a setting that takes Hollywood away from that equation, and as such studios in Canada, the EU, the Commonwealth and the Arabian peninsula could seek such a solution. There is a field and it is (as far as I can tell) rejected in favor of short term ideas. The idea is however a field that has a larger implementation in TV, Shows and all kinds of directions, from Music Clips and short term videos. All directions that could benefit from those direction. And that is even before we get to the adult entertainment, because there are options there too. All directions that could bring a possibility of revenue, and isn’t that the golden standard in any business? And from there we get the added benefit that it could be remade in any other language almost instantly. And make no mistake, I am talking into my own directions. Because some might ‘worry’ of a script that scares the Jiminy Cricket out of Anne Keast-Butler (GCHQ), John Ratcliffe (CIA) and General Joshua M. Rudd (NSA) but these ‘actors’ are in the clear when they are made with Claude. It opens up a whole range of ideas and ‘shortcuts’ And there is a benefit. As the library of locations are added, the end cost goes down and we could get the three ‘leaders’ digitized and change some facial features that they do not look alike (whilst everyone knows who we are talking about) and as far as I can tell there is a lot more surfacing soon enough. There was my script on ‘How to assassinate a politician’ it has the secondary title ‘Essay’ which played in Dammam (Saudi Arabia), Amsterdam and the Hague (Netherlands) now consider these costs of that series and if Claude could manage it ‘lifelike’ enough, how much costs will it be then? And that is how new studios are created in new ways, because several corporations just dumped thousands of IT people, all ready to learn new skills. Then there is ‘Information Overload’, a simple attempt to give the ‘rulers’ of the CIA, NSA, GCHQ and the DGSE a new for of nightmare (you can’t blame me for that) but that gives us two stories that have merit towards that setting and I reckon that Hollywood have thousands of scripts that never saw the daylight, but now there is a new revenue stream and as too many people respect money above ethics, I think that we have a new playing field and those who enter first have the best chance to make a decent penny (read: Dollar, Pound, or Euro) I reckon that there is a lot of Swedish appeal to make a new Pippi Longstocking, in Swedish no less and if that appeals several other languages would come forward.

So think of this as Off Topic, because the midterms in the USA are too boring, not for the Democrats, but this was the only outcome that would have made sense and for now they will need over a decade to clean up the mess that was left behind and they are doing it without allies, that part was taken care of by the present administration. So, I look at other ways to set revenue towards nicer shores and this administration of the United States that any shore is nicer than the shores of the United States and as I see it, there are options for Canadian movie makers as well.

So have a great day and consider where you might find another path to revenue.

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November 4, 2026 · 01:31

Visions

We all have them, they could be mirages of our imagination, they could be subconscious ramification of facts we were exposed to, whatever the reason. Whatever the reason, it tends to be a decent reason to take heed. So first I see all kinds of news that the AI bubble has burst in China. I was unaware that they had put such a massive amount in that, but whatever. Hours later I see a splash of newscasts from all over the western world that something here is shaking too. First off there was the ‘fact’ that the fortune of Larry Ellison had dipped by $11 billion (its not a lot when you say that fast) then I see Bloomberg giving us ‘Oracle Is Near $10 Billion Share Sale at 11% Discount’, which sounds nice, if you are into those kind of things. Then about 5 hours later I see ‘Oracle, along with Alphabet, Meta, Microsoft, and Amazon, has disclosed a combined $3.3 trillion in future spending commitments.’ And suddenly the picture changes. As I personally see it, the bubble is bursting now here too and these 5 big spenders are ‘combining’ their spending (to each other) to make the bubble not happen. It is like a game of High Stakes Pot Limit Omaha (PLO) game of poker. I am not too knowledgeable on poker in general (except Aces High, not the Iron Maiden song) and we get a setting because PLO uses four hole cards (and you must use exactly two from your hand and three from the board), equity distributions run much closer together. Favored hands frequently sit at 60% to 65% pre-flop rather than dominant 80%+ leads and then one card in the middle is the Joker ‘AI’ so they are all out to get a setting of that with this poker setting that they each want to get the winning hand, but as I said it, all AI is fictive for close to 15 years, too now wonder what they are doing. Because these 5 (with Nvidia as and optional sixth) are all out in the open showing what bluffers they are and whilst we are looking we might see the common denominator in this. And the setting is ‘in future spending commitments’ because off this bubble bursts they will not be able to spend anything, the 3 trillion that they were ‘planning’ to spend will be gone with a massive amount of trillions that were always in the pot through all kind of means and suddenly no one needs the thousand or so data centres. So let that sink in.

And they are all facing more. In the first we see Meta with ‘Meta’s $25B fine left out accountability for the Cambridge Analytica data privacy scandal’ also one that I am partially on the side with Meta on that. It was ‘‘What I eat in a day’ videos landed Amelia in hospital. Now they are landing Meta in court’, so can anyone tell me how this falls on the head of Meta? (It’s a locked article) but it comes down that in the Covid era she (and others) started to share their eating habits. So, how is that Meta’s problem? Did Meta film her, or did she do that herself and was it to anyone with a medical degree or to a bunch of other near-teen people, all wanting to outdo each other on social media? This last one is not on the AI pile, but these settings tend to overlap legally and these parties are all out to get the most from their targets. (Its a legal setting) where the parties want to emulate their victim setting emulating through Donoghue v Stevenson [1932] UKHL 100 (26 May 1932), which is a famous torts case. And they all face these secondary measurements (likely Microsoft more than others) but they are all hindered down because of it. You see Microsoft is (apparently) valued at 3.77 trillion. All whilst one source gives us ‘Why is Microsoft raising $25 billion in debt when it already has $76.8 billion in cash?’ Sounds reasonable, until you see the expected debt off the books and into parties that will take the hit. It almost sounds like Party X in the late 1895 get a ‘friend’ to invest in Whaling oil, there is one big haul to get. And that friend agrees, but the dangers aware to Party X were never disclosed. Because it was June 1896 “Sperm oil prices dropped from a peak of $1.77 per gallon in 1856 to 40 cents by 1896, failing to compete with refined petroleum” and his friend now faces a decline of 78%, it was too late for him and friend X kept his head up because of all the losses he faces, well his bank did, but he scored a nice retirement. We are entering this last game of AI now. People are aware there isn such think like AI and it is merely predictive analytics, a more advanced form of it, but it is still massively dependent on data and there is the shoe that just doesn’t fit. The data is the problem mostly because of an absence of validation and verification. Also I reckon that these validation settings (whatever there is) is pushed thought several parties and they all have their own validation metrics. So there are numerous problems that many are ignoring and I saw that first hand but they are all shouting AI together and ruling up the audience. So when we go to that person who claims that those ‘believing’ that’s only idiots believe in the AI bubble are like founder Masayoshi Son and SoftBank have pivoted heavily toward artificial intelligence. They will take a massive hit soon enough, although they are also in robotics, chip design which might make it thought, but the heavy capital allocation into OpenAI might not do so well. But take the word of Masayoshi Son over me a nobody. And invest right ahead and don’t mind the shark swimming underseas, because they nibble. And it is fair to question my word who reacts to the headlines and events that the media is giving us, but ask yourself. What real reasons was there to ‘Oracle, along with Alphabet, Meta, Microsoft, and Amazon, has disclosed a combined $3.3 trillion in future spending commitments’? And how is that split up? And also where is that going? You see, the first headlines with the $100 billion mentions are optionally inspiring, but now we see “As of May 2026, there had been no further progress on the project beyond the letter of intent, with Argentina’s Economy Ministry stating that they had not received a formal application for their large venture incentive scheme.” (Source: Buenos Aires Times) so what else is in the and at present, because we were given “OpenAI and Sur Energy signed a letter of intent to explore the development of an AI data center in Argentina’s Patagonia, named Stargate Argentina. This project, the first Stargate site in Latin America, would represent an estimated investment of up to $25 billion and have a capacity of up to 500 megawatts” and as I see it, at present Argentine has about Argentina has an installed electricity generation capacity of about 44.2 GW, is that where the 500MW is coming from, and if so, why was an additional $25 billion required? Wherever you look it leads to more questions and in this game of PLO is it the intent that everyone looks at the cards, not the noise and why that noise does not seem to make sense and it is all due to secondary noise, not part of any of this, but these companies are too large to ignore this. So who is making a tally, because as I see it, none of them have the cajones to put up their own market value to this, why is that? So don’t become the patsy nesting in whaling oil when it is too late or perhaps too soon is also available, in 1820 was massively riddled with dangers. So whatever you do, ask questions and read up, because at present the entire (fake) AI setting is riddled with dangers and no one is looking beyond the headlines and into the data it is supposed to deliver.

Have a great day.

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November 1, 2026 · 18:53

Aging

We all feel it and I felt it today in a massive way (with assistance from IKEA) it is not that I don’t get it, I get it just fine, but I face the aging of my body, it is getting to 70 years old now and varying three piece es of furniture to my trolley implied tossing 6 boxes on that trolley and each and every try one was throwing out my back (and then some). Still, the IKEA staff members were excellent in handing me support and assistance. I reckon that they were thinking “What the hell is he doing carrying 240KG in boxes?” A thought that should have occurred to me quiet plainly. And the next day (whilst I was eagerly destroying my knees) I occurred to me that there is a second setting of bias, bias of my own abilities. So when we (now) look at bias (like Rina Diane Caballar) we see “Humans are innately biased and the AI that we develop can reflect our biases. These systems inadvertently learn biases that might be present in the training data and exhibited in the machine learning (ML) algorithms and deep learning models that underpin AI development. Those learned biases might be perpetuated during the deployment of AI, resulting in skewed outcomes.”Humans are innately biased and the AI that we develop can reflect our biases. These systems inadvertently learn biases that might be present in the training data and exhibited in the machine learning (ML) algorithms and deep learning models that underpin AI development. Those learned biases might be perpetuated during the deployment of AI, resulting in skewed outcomes.” It occurred to me that bis and validating requires a timestamp of this validation, because out via of the outcome is becoming the bias of the equation.

So when we see “Skewed Outcomes: Machine learning models are trained on large human-generated datasets that often reflect real-world prejudices, leading to biased decisions in hiring, healthcare, and policing” which is what IBM is handing us, but the hiring manager is trying to do what a hiring manager is trying to do, rolling with the punches of time, but his ‘assistance wizard’ is not doing this and it becomes a grey/black issue for the machine, whilst the hiring manager is looking for that white resume. So whilst everyone is ‘bottoming his/her resume’ quality is falling in between the cracks of unemployable ad the traps they have.

We then get “Algorithmic Opacity: Deep learning models function as “black boxes,” making it difficult to trace how or why a specific discriminatory choice was made.” Which we get from the Office of the Victorian Information Commissioner. And whilst these models are not to verbal on how decisions are made there is every chance that this will instill a brain-drain. You see, some others can see that some degrees sound impressive but they are useless (in the beginning) so whilst some will drag this out by handing their tech support to philosophy graduates. The hiring manager is confronting a new workforce where sone stay quiet, so will revert to the caveman analogy and we can go on a few turns on that, all whilst the hiring manager requires a programmer who correctly addresses the Machine Learning modules and start preparing for dozens of exceptions and exclusions, whilst the essential inclusions are largely overlooked (actually they are merely overlooked until it is too late to do something about that). And it becomes worse because the Office of the Victorian Information Commissioner will try to explain the wrongful act of Discriminatory choices, making transparency even less likely.

And then IBM gives us a gem (a diamond in the rough if you prefer) “And while organizations are taking advantage of technological advancements such as generative AI, only 24% of gen AI initiatives are secured. This lack of security threatens to expose data and AI models to breaches, the global average cost of which is a whopping USD 4.88 million in 2024.” Does anyone realise that in hiring the lowest assistance can secure over 60% whilst the Gen AI is getting only 24% and that is before some could have thought of “Search for security gaps in AI environments through risk assessment and threat modeling.”, “Assess model vulnerabilities by using adversarial testing.” As well as “Invest in cyber response training to level up awareness, preparedness and security in your organization.” So whilst some might do some of these things, the investment of millions merely hands them an optional rise from 24% to 45% securing investments and whilst corporations are looking towards ‘Microsoft data centres swing to $326m profit amid investment spree’ all whilst they all listen to Satya Nadella talking up a storm, we see “Accounts filed with the Australian Securities and Investments Commission show the company increased revenue 33 per cent to $3 billion, and paid $165 million in income tax for the year” (source: Financial Review) and no one is looking for ACTUAL success stories. I saw one success story, it was BMW with “Cut vehicle production line downtime by 25% while boosting quality inspection accuracy to 92%” but was that actual AI in use, or was that machine language optimizing machines? We see all kinds of numbers thrown at us, but whilst we see ‘dodgy’ accounting in effect like “Microsoft has not laid off 60,000 workers; instead, in late October 2026, the company announced a Voluntary Exit Offer (VEO)—a buyout program—offered to about 60,000 employees (roughly 27% of its global workforce of over 220,000 people” So where are they going to go. And I am still of the mind, when the world wakes up to the flim flam AI artistry, we will see managers falling over themselves to rehire whatever they can and their opposition is doing the same and likely succeed where the VEO offers fails. Because when we see that machines cannot do it all, when the clarity that there needs to be a person who activates the verifying module and when these big wigs come back with the setting our AI does that, and whomever gets a day of looking into that, will see a tsunami of harm coming all their ways. But I have learned that managers who get rid of the people who gets them into hot waters, there is the opportunity for the adversary of that firm, but what am I saying, Microsoft and Amazon doesn’t have any adversaries, do they?

So what does any of this to do with aging? Well, there are a few settings “Data aging is the process of moving old, low-relevance, or historical data away from active, high-performance storage or memory into secondary or historical storage areas” (source: SAP) as well as “It moves inactive or closed records (such as old financial transactions) from hot in-memory storage to cold disk partitions within the same database. This reduces the main memory footprint and speeds up queries for active day-to-day data, while keeping historical data accessible via specific SQL range restrictions (WITH RANGE RESTRICTION).” The question becomes have these training modules kept up with these aging routines? Because that element is often not in exported data, as such the validity of the data as well as its verifying functions are failing. So whilst we are considering “such as old financial transactions”, so how are these records of Gerald Payne, World Plus and a few others are seen by these ‘machines’ and whilst we are aware that there is a link between these settings, the setting of ‘with age restrictions’ might not be used everywhere as such the amount of credible data is failing (harshly) and I am merely stating obvious cases, but these poi scheme settings are still being used and some are ‘confidential’ because they are being investigated and syphoning out these dealers gives them a case for suing for discrimination. Because in the United States (as far as I know) “Under federal law (Title VII of the Civil Rights Act), the Equal Employment Opportunity Commission (EEOC) states that blanket bans on hiring anyone with a criminal record can be discriminatory.” So these people merely need to prod the fake AI system to see where they are ‘disregarded’ and start a case against these discriminatory parties. I reckon that this will be a class action case for 2027. Don’t take my word for it, just watch the news, it will happen. I feel decently certain of that.

So there am I (still aging) taking up my fight with the white Fågelfjället, I will not be defeated by my age or that massive amount of wood (even if it kills me).

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October 28, 2026 · 20:13

Out of moves

That was the first thing I thought when I saw the BBC article (at https://www.bbc.com/news/articles/ckpdg4pl7pgvo) with there title ‘Police using AI risks making discrimination worse, researchers warn’, the article itself was three days old, but I have had a few things on my plate, it is not the greatest excuse, but it happens to be the truth. We are given “The growing use of AI in policing risks increasing discrimination against minority groups, researchers have warned. Studies suggest that predictions of future crime hotspots may be based on biased data, which can magnify existing prejudice and create a dangerous feedback loop.” I couldn’t have said it better myself and but it is also based on settings that are more true than anything the truth could bring, because (as I have said over and over again) AI does not (yet) exist. It is mere predictive analytics and that requires data moreover it requires validated and verified data, the outcome in any different setting is what we call the GIGO law (Garbage In, Garbage Out) and that pretty much spells inaccuracy, bias and outright discrimination. And we are given “This would involve checking the data that forces use to find and remove any bias, according to Dr Carolyn McKay, an associate professor and researcher in digital justice at the University of Sydney Law School.

“The public functions of state policing ought to be subject to human oversight and scrutiny,” she says.” This could be the start, but until the data is thoroughly scrutinized the outcome of these predictive models are at best debatable and in the worst case a mere blanket of discrimination, although the policing parties will cover this with ‘Mister X’ looked at the data and we believe it is accurate and when the first case comes where we validly can deny the truth of it, the class actions will come calling. Leave it to any lawyer to see the business end of wrongful convictions and as I see it, that is the only path that will be seen as merit. The article gives it in a different shape, but it is the same outcome, here we see “The problem, according to McKay, is that AI systems are trained on data that already contains human bias, and this can lead to self-fulfilling prophecies. Think of AI as a map-maker asked to draw a map of a city they have never visited. They are locked in a windowless room and can’t go outside. All they have are maps that are 50 years old.” Take one mere consideration “London police corruption in the 1980s was defined by deep-seated internal networks, ties to organized crime, and systemic cover-ups within the Metropolitan Police and City of London Police” and anything connected data that is used is mere gap fillers for a bias and discrimination in London alone. Now we get back to the village of Sydney (the one in NSW, Australia) where we see “Police corruption in Sydney during the 1980s was a systemic and deeply entrenched feature of the New South Wales (NSW) Police Force, particularly within vice, drug, and detective squads in areas like Kings Cross” now these two villages were not sanitized over a day (or even in years) that means that any documentation is tainted with ‘accidental’ inaccuracies and this goes on for close to two decades. Consider that tainted data to be the beginning of predictive analytics and you have yourself a massive amount of class actions and personally hit people demanding representation and even if there is human oversight. How can that person rely on any data he/she sees?

And I am merely pushing two obvious places in the foreground. Take a harbor town like Rotterdam (Netherlands) or even Antwerp (Belgium) or Paris (France) and these are harbour cities, as such there are many parties who ‘disregarded’ and ‘adjusted’ reports and data, the entire setting is drenched in ‘obliging’ failure. But not to worry, the legal system will proceed and defend the damaged parties and their bills will not be cheap (they need a cushy life too) and this setting (as I speculatively see it) will give these lawyers thousands of hours and these players go for roughly $750 an hour, now take that times 50,000? Is anyone seeing the outcome of that failure?

And that is before you see the outcome of class actions that might reach an easy billion in punitive damages. And I have been making sure that the settings of validation and verification was clearly mentioned in most of my ‘fake AI’ articles. And whilst we consider that and in TechCrunch via a writer called Anthony Ha (in LinkedIn), we see ‘AI delivers ‘zero financial payoff’ to most companies, Apollo economist says’ where we see “AI hasn’t benefited the bottom line of any big corporations outside the tech industry, according to a note recently published by the chief economist at Apollo Global Management (the private equity giant that used to own TechCrunch). Apollo’s Torsten Slok focuses on what he calls the S&P 493 — the S&P 500, minus Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia, and Tesla — finding that profit margins and revenue per worker appear to be flat, with no evidence that AI is improving productivity.

“Despite massive investments and widespread hype around artificial intelligence, the technology has delivered zero financial payoff to corporate America outside of tech,” Slok said.” Now take that equation to what some call a failing police force with tools that make things harder, less reliable and legally expensive. That is the setting these police forces are seeing. So whilst ‘some’ made statements, the one that reverberated in my mind was “Masayoshi Son, the chairman and CEO of SoftBank Group, has been the primary SoftBank executive speaking out about the AI bubble. He asserted that global AI infrastructure will require roughly $5 trillion annually and argued that AI will eventually transform the economy to generate massive profits.” The fun part for me was $5 trillion annually and ‘AI will eventually transform the economy to generate massive profits’ but as I see it, AI is 15 years away (at the very least), so who is paying for the $75 trillion? And what profits will be gotten? And the issues of data validity and data verification will not go away and they better start today if they want their boat comes in in 15 years, because unverified and unvalidated data is still junk data. (Punters might call that CCC data) so it is worth less than nothing. So how exactly are profits coming in? Because as I see it, the police will be using that same junk data and the money is gone and no one knows where to find it and to give you an example Reuters gives us “STAR50 Index Collapse: China’s main AI and semiconductor stock index, the STAR50, plunged by 40% in under four months, erasing about $480 billion in market value.” As I see it, hardware is the first to fall and the mentions of “Western markets have experienced milder pullbacks—such as a roughly 6% drawdown on the Nasdaq—as major tech firms and chip giants continue to draw heavy capital inflows and massive infrastructure spending” is as I believe it to be false creations. They merely hide it better and the 5 large investors are covering each other and investing in each other, so when that bubble burst (I personally believe it is already bursting) they make claims of tax write offs and pay no tax for a few years (a speculated view by me).

So in this atmosphere you want the police to use fake AI whilst it is predictive analytics and I am not against predictive analytics, it is a good tool if the data is reliable and that is in too many cases seemingly not the event we are hoping for.

So you tell me, where is my thinking wrong? I worked in data analytics since 1992. I saw the rise of predictive analytics, but the people never trusted this, so someone came and called is AI, but it is not AI, not even close. And no one is thoroughly investigating data validation and data verification, because these two settings is where it all goes wrong, horribly wrong.

So you all have a great day and don’t let my words make it sound gloomy, the news won’t tell you this, but that is them. They are now all about the digital dollars. And the start of this article was given to you by young British science writer Adrian Dredge wrote about the potential pitfalls of AI and policing. The essay won the 2026 Young Science Writer Award, chosen each year by the Association of British Science Writers. A man I do not know, but he was awarded the honour by people who know things, so that is seemingly good enough for me.

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October 22, 2026 · 11:48

Predictive Artificiality

It is a combination of words and as the BBC keeps on getting it wrong for all the greedy reasons it is engrossed in, lets recap that setting that they open up with ‘Google staff resign in backlash over its AI contracts with military’ (at https://www.bbc.com/news/articles/cmreyvepnv0po), so they are willing to get in bed with organized crime and hackers (a speculative thought I am entertaining) whilst the military is out of bounds? So as we are given “Google is facing a backlash from some staff members over the company’s deployment of its AI technology for military use.

The BBC has spoken to several tech workers who have either recently resigned from Google’s AI company, Google DeepMind, or are in the process of leaving, over concerns with the tech firm’s military contracts. Sofia Liguori, a London-based research engineer, is one of them. She resigned from Google DeepMind this week and spoke about her concerns exclusively with the BBC, despite her contract restricting her from doing so.”

So lets recap this for the people who have no IT skills and optionally a child with a Nintendo. There is no AI, all AI is fake. There is of course predictive analytics and at present it might be considered Advanced Predictive Analytics, but the difference it that AI and make leaps of faith (according to Alan Turing, not the comedian) and it can do this absent of data. Predictive analytics requires data at all time, in absence of that it becomes Presumption at best and mere speculation at worst. For AI to become real it will the following things.

A quantum computer (we have that)

Shallow circuits (we seemingly have the too, although I reckon it is still in its infancy. IBM had the hard parts figured out in 2017)

A Trinary system and about two decades ago a Dutch physicist created the Epsilon particle, but between that an having a processor/Coprocessor to get it in real life is likely still decades away

So we are not even close to having AI as such I label ALL AI fake. It is not bad will, it merely is and on top of that the validation and verification is far away from all that, as such the ‘guess’ with of these military systems is making it a dangerous setting being anywhere near 25 miles of such a place. As such is this Sofia Liguori really concerned with the setting of these predictive analytics or is she worried about what the client will look for when they are analyzing the logistics of these predictive analytics, because that is merely one step away from what the logic of a fake AI is, towards the analytics of these predictive algorithms. And these defense IT boffins will put two and two together and they will get really different results. That is when they are done with analyzing the verification and validation modules, I found them lacking on several levels last year and I have no faith that they improved anything near a serious level. I tend to blame the lack of a trinary setting. But that requires some explanation. In binary we have Yes/No or True/False. Now in a double setting we get for example the setting of Toronto (Yes/No) and Maple leafs fan (Yes/No) and there would be an abundance of Maple Leafs fans. But that setting is absent of Hockey Fan (Yes/No) and perhaps Recent immigrant from Montreal (Yes/No) win this setting the non-Maple Leafs fans are riddled with inconsistencies for all kind of reasons and whilst you can set the questions right, the model becomes inherently more complex. And this is based on two settings. So to capture it all you will get an exceedingly complex metric of answers. With Trinary it becomes a setting of Yes/No/Both and the equation simplifies. The setting of validation and verification makes it simpler as well, because nuance (to some degree) takes shape. Now in military settings it does not become easier, the setting is more complex and the influence that [BOTH] is rallied towards this and can be counted and as such the tally becomes easier to see that there are additional factors in play, but still the absence of data cannot be countered at present and as such all AI is fake (for now). And the response of ““Realising my company is pushing more and more for AI systems in military operations makes me feel ashamed to work at Google,” Liguori said, speaking in a personal capacity.” Is even more debatable. Because fraud detection is a valid operation for these special forces of the Military Logistics department and they could use the better part of predictive analytics, it is not perfect but they will find optional danger flags really quickly. More work is needed but where 50 people find 12 red flags in a month, One computer will give them 50 red flags in 12 seconds. It doesn’t mean that they are all red flags, but once the setting is checked, it might be an optional misfiled paper, but checkers would have known this and as it stands military logistics could use the help (in nearly every nation) even if it was merely to find 13 billion in misplaced oil revenue. So when we get to “After working for the company for three years, Liguori said she decided to resign over Google’s increasing work with the US and Israeli militaries. “I don’t agree with this direction and this has led me to lose faith in my company being true to its stated ethical values,” she said.” So how did the Israeli military included in that? Was she a supporter of Hamas terrorists? Or merely anti Israeli? I do not know, but the direction of that interview took a wrong turn and the BBC was seemingly OK with that. We see that continuation in “Naza, which examines the role of AI-powered targeting systems to bombard the Gaza Strip, resulting in high civilian casualties. An Israeli government minister has said the claims presented in the film were false and distorted.” So what were these AI-powered targeting systems? Who made them and what are they called? It seems that the BBC has a lot of explaining to do, not merely on this part and to include Google in this is (as I see it) mere fabrication from a delusional mind and I hope that the people will take my explanation for these settings in a proper light, so that they can see that these AI systems are merely fake and there is no real timeline when they will be real and as I see it, such systems will not be active before 2031.

So have a great day and don’t forget to ask your barista if his La Marzocco GB5 S Auto-volumetric 2 Group Commercial Espresso Machine is AI powered.

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October 13, 2026 · 04:07

How Google is losing the plot

Yes, it happens and in this age of all the fake AI it will happen a lot sooner than you think. So, you want to see evidence? Easily done. 

So here you see the result of the query [lawlordtobe + “tome”]

Seems simple enough, so why was “https://lawlordtobe.com/2021/07/22/tome/” omitted? It was a simple enough request and whilst we see results that ‘kinda’ answers the request from 2018, all whilst the ACTUAL article was not there and it was published in 2021. We get an AI overview, we get all kinds of articles, but not the one I asked for. So how did Google lose the plot? I am kinda curious. Because the query itself is really simple. There was even an older article in 2020, but that one was called ‘Tomes’ so it might not have made the ‘query setting’ but then neither did the other ones because the one we do see is tagged with “iBook”, but the title is “An actual competitor” so whilst we get into the setting of blame (like) “You should have done ….” No, I asked for for the specific query and I might have gotten more and that would have been fine, but the one mention that I actually needed was not given. 

We seem to have the ‘old fashioned’ setting that Google responds to OUR query, what we wanted and they are even selling Google ads on that premise “do what the question asks” so why is Google missing the point by over a mile? 

So whilst we were given n the past ‘US v. Google Antitrust Verdict’ with “A US federal court ruled that Google built and maintained an illegal monopoly in the search and digital advertising markets through exclusive default agreements with phone makers and browsers” I am contemplating that some of that ‘overlapped’ in different fields (and contemplating does not mean that they are doing this or that this is happening). But in this day and age where we kinda rely on Google giving us the goods, the simple fact that it does not, is a massive cause for concern.

And this was merely me looking up something for myself regarding what I myself wrote, so how much more is there out there?

Have a great day (I am still 240 minutes from breakfast) 

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October 11, 2026 · 19:14

End of a fairy tale

That is what kept creating in my mind, it was pushed there by the BBC (at https://www.bbc.com/news/articles/cqkg50j1yd5lo) less then 24 hours ago and it is time that I (kinda) repeat what I have been saying all along and for this version lets use the ‘fairy tale’ approach. The title gives us ‘Rogue Anthropic AI agent gave police fake tip in unsolved murder case’ and I get (to some degree) fed up with this rogue setting. So lets explain the setting of a rogue. 

This is the first rogue, in this case a female rogue and thoroughly explored in Dungeons and Dragons themes where to poor butcher (could be a fisherman) pleads with this rogue “Oh, please gloomy dark lady, do not deprive me of my virginity” and the outcome of that is decided by dice (or an interrupt card) and that is the ‘Rogue’ that has been in play for centuries (although until the 18th century I have never seen a female version. I did hear from a man in the 19th century named Dick Turpin that he met one, but it might have been the combinations of ale and wines and him losing his purse. 

The decently real rogue in this case is the ‘dorky’ IT guy who gets his programming a little wrong. Like the ‘eager’ student in a renowned University working on his ‘assignment’ and he is looking into statistics, more precise Multivariate Analysis of Variance (aka MANOVA) and the dastardly scoundrel gets a parentheses wrong the “(“ or “)” particularly the placement and now what was a small assignment where the illustrious student evaluates a linear combination of multiple correlated outcome variables, but as one of the parentheses is in the wrong place, the mainframe it working on is seeing a correct statement and it does it, but the size of what is to be analyzed take a lot more than the available memory of the mainframe. It goes a little bonkers. And makes the system administrator scream and call for his mommy.

And as the BBC is giving us “An artificial intelligence (AI) agent developed by Anthropic went rogue and sent US police a fake tip about an unsolved murder earlier this year, authorities have revealed. The Philadelphia Police Department said the 18 July tip was “flagged as spam” and not passed on for investigation – but the force criticised the tech firm for taking more than two months to detect and report the breach. It said the bogus tip came through a public website where people can share information on unsolved murders, and that the AI agent had claimed to have seen “someone matching the description”.” So there are claims that could be it, but this is not some system going ‘rogue’ because that system is not armed with sharp blades (or poisonous arrows) and the setting that the BBC is giving us (and many other media as well) is a programming error like I described, but these systems cannot afford the class actions coming from there, as such we now get more and more ‘class actions’ Now this last part is speculation by me. I would call it presumption, but that requires genuine insight and I don’t have it, because to me all AI is fake. But consider that predictive analytics uses statistics to find causality and correlation and optionally ANOVA and MANOVA are used. Now ask yourself could a programmer gotten a parentheses wrong, of will we see servers stealth fully walk the corridors of your corporation, leaving false evidence behind?

Just something to consider.

So whilst we get “The police department added that there were no signs of breaches to any departmental systems and that its safeguarding processes stopped the fake tip from getting past its spam folder. But the safeguards “do not diminish the seriousness of an AI system presenting fabricated information as though it came from a person with knowledge of a homicide”, the force said.” And there is a case for “AI system presenting fabricated information”, in courts there have ben several cases where these systems ‘created’ false case files and not once, but several times. And in the age of utter shortcomings in validation and verification, these systems are extremely flawed. I wonder how these systems hold up against the system that they created, The UK Police Scientific Development Branch started the Major Incident Project in 1974. It would be called Holmes and apparently (I was unaware) a Holmes 2 system was rolled out around 2000. So, were there considerations on how validation and verification happened in those days?

And when we get to “Anthropic this week published a report detailing multiple types of “unintended” actions its agents have taken. Organisations that had been impacted also included several US government agencies including the White House, it said. The US State Department said the AI agent had filed 20 visa applications using a form on its website, but that they were incomplete and not processed, according to reports. US President Donald Trump recently announced an AI taskforce, which he said will co-ordinate engagement between the government and all parties, including AI companies, consumers and religious groups.” So in this case was the agent a real person? And when we get to “the safeguards “do not diminish the seriousness of an AI system presenting fabricated information as though it came from a person with knowledge of a homicide”” was this a person wanting (read: hoping) for a free ride into the United States? The article left me with questions, as well as the fact that “presenting fabricated information” requires certain steps of validation, optionally veridic action and at the very least question into the predictive analytics side of things, because a programmer getting (optionally) a parentheses wrong is seemingly one with enormous potential and optionally the easiest solution into this setting. It is not a setting that Anthropic likes, because that could start a new class action war and when one goes down the others go too and I reckon that OpenAI, Grok, and Gemini will assist in keeping the ‘Rogue’ setting alive, they all have plenty to lose and my giggling sense of humour comes with the setting that these fake AI settings is costing them 3-4 trillion and the court cases settlements could exceed that at the very least (but that is merely my sense of humour)

So have a great day and consider when you get your coffee that the POS could steal your credit card, Rogues are intensely able to do this and spend it on new shoes. Or we could look at where the programmer went wrong. Its all up to you.

Have a great day 

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October 10, 2026 · 22:30

Changes

I see the world of changes going towards me and I am fine with it. Some are distinctly different, some seem mundane and similar. There is no real way to see what is what and the setting of what matters is not that important. I learned early in live that the sum of it all matters and how you impact it, it’s like standing on the axial of the seesaw. Impacting how you distribute the weight to make the seesaw going one way or the other. It makes you a game decider, a tactician. 

But before you think that I am so ‘important’ (I really am not) but there is a side that ‘haunts’ me. I am no politician, even if tactical people need to have a political frame of mind it is not the same. People like me are able the see the lie (perhaps ‘intentional miscommunication’ is a better term) and when we see ‘Steve Moore: US economy is blowing away other nations despite inflation’ we see the lie. When we are given “Unleash Prosperity co-founder Steve Moore joins ‘Mornings with FOX Business’ to discuss the state of the US economy, highlights strong investment numbers and argues that the US is economically outperforming other nations. Analyzing the U.S. economy’s strength, Unleash Prosperity co-founder Steve Moore joins ‘Mornings with FOX Business’ to discuss resilience against inflation. Moore argues the United States is outperforming other nations and notes that international investors are betting on America, dismissing pessimistic narratives.” (Source: Fox Business) In what universe is the US in a state of strength? President Trump keeps on missing the goals, making threats and bully his way through this world. At present US tourism is over 5% down, the US economy is based on a set of 6-8 players handing money to each other calling it economy. Tens of thousands lost their jobs in this economy and whilst we are told “The U.S. economy added 29,000 jobs in September 2026, falling short of the expected 90,000”, others like Indeed give the world “Now Hiring: 247000 USA Jobs”, they did this is 2013 as well, offering hundreds of ‘jobs’ in places that needed them, scouring the world for data. And now you see that this ‘resilience against inflation’ is so clueless when the US Tourism is losing to Europe, Asia and the Gulf states. Then we see ‘The U.S. Economy Just Delivered Bad News. History Says It Could Be Good News for the S&P 500.’ A two tailed story where we see “High interest rates have become one of the market’s biggest boogeymen. While the short-term impact can be minimal, over time they can increase borrowing costs, slow economic growth, and become a drag on corporate earnings. But those things occurring while economic growth is still healthy and earnings growth is strong might not be the worst thing in the world. In the current situation, slower job growth could lead to lower rates, but at the same time, potentially not slow the economy enough that a recession becomes a risk. If the economy can strike an equilibrium where inflation and interest rates fall but GDP growth and earnings growth remain positive, it can produce the ideal environment for stock prices to keep pushing higher.” The story sounds and feels true, but now we get to see the two-sided side. As I see the the US economy supports the people, and bad news here is not good news for them. It optionally is reasonable news for the members of the S&P500 and the additional “Long-term investors should probably just stay the course. The market has been talking about AI slowdowns and corrections for most of 2026. Yet the S&P 500 is up 14% year to date and the Nasdaq-100 is up 24%. There’s no sense in trying to predict these things and changing your portfolio because of it.” But the setting is close to changing, the setting of AI is fake (if you read my blogs you know the reason) the people are getting aware and we see: “Class actions have become a recognised enterprise risk, shaped by cyber incidents, regulatory scrutiny, shareholder expectations, ESG obligations and emerging technologies. Organisations can’t afford to view them as isolated legal events.

Our survey of senior legal, governance and risk professionals across corporate Australia reveals a clear shift: class action risk is increasingly viewed as a Board-level issue requiring stronger governance, oversight and organisational readiness.” The Law firms are aware. Herbert Smith Freeholds Kramer for one. So as the world of AI (Super Intelligence for Americans) is getting swamped with class actions (I need to take part in one as they are stealing my stories, which they call ‘training data’ we see a different story. The different story is that those in deep, too deep, implies that they need the train to continue so that they can cash in on their losses and make them other peoples losses. To see a ‘class action risk’ simpler as a ‘Board-level issue’ implies that they need to law to change, the law no longer suits their purpose. I reckon that first IP laws will undergo ‘changes’ so that the (as they say it) ‘the good of commerce can continue’ then they go into patent law so that these Predicted Analytics systems could score the roads and claim the IP of others and as such these 8 players get to claim the next generation of inventions, because those who create the items the next generation needs, these settings that will get them the  economy, the vaults and wealth of itemized goods. So, in one stroke, they get the wealth of the planet and they will all claim it was theirs all along. But the ideas that I (and thousands of others created) what happened to them? Should I just hide and keep it a secret? That is what they want. I fought it to make some of it public domain, they can’t get it in this way and there is more, whatever IP I create are some in some way expected steps of what was to come became public domain. I might lose the revenue of what I would have never gotten in the first place, I can rely on ‘the law’ to do me a thankless solid and get me the revenue for. My stories and as there are plenty of logs showing that a ‘few’ nameless people taken several times the stories I wrote (over 7000 times) and even if the settlement is merely $10K per story, I will be set for life and not just me, thousands of people will get to claim that setting and it is why the legal setting (according to them) needs to change. First they sack tens of thousands of people, trying to ‘pay’ for their upsell of revenue of these ‘fake AI’ systems and now they are losing so much more to all these class actions. Our benefit? Most lawyers are greed driven (they call it ‘billable hours’) and if they make enough hours, I (and many others) get paid. It is one way to balance the seesaw and shift that balance in favour of us, the victims of theft. 

But the setting goes deeper than that. You see, these ‘delusional’ settings of the economy will hit the American people. At present we are given “Share of Alleged Losses: AI filings represented roughly 13% of core securities filings, but accounted for 73% of all alleged investor losses measured in the period”, “Disclosure Dollar Loss (DDL) Index: AI filings accounted for $385 billion of the DDL Index (73% of the total” as well as “Maximum Dollar Loss (MDL) Index: AI filings accounted for $1.3 trillion of the MDL Index (73% of the total), with technology sector filings reaching $1,445 billion in MDL overall.” And as these are the views that are not just bad for Americans? They are disastrous. Because as I said, “(as they say it) ‘the good of commerce can continue’” but it is set to them (singular) not the people, not the nations. For them and them alone, it is “board room thinking” and it requires changes for that to start, continue and settled and all that is happening right now, but it can only continue if they have these co called independent consultants to give us a ‘braided’ story that steers clear of what people need to know to decide.

But in the end, we get to decide and see where we want to go. But in the end, we should choose and I chose this setting. What others choose is their business. Ron Herbert (Dune) once said, “He who destroys a thing, controls a thing” I really like this. As such I made most of my ideas ‘public domain’ including the military IP for Saudi Arabia and the UAE. No reason to get contracts out, they can just act on them, a simple solution. 

So whilst you might think my ‘ramblings’ sounds useless, but the path we are given is not that clear. And we are getting overloaded by ‘so called’ data and that is where the predicted analytics is being used. To confuse us, not to inform us, other systems do that and these fake AI systems can figure out based on the data it is given. So whilst plenty of people will tell me I am as ‘daft as a doornail’, others will call me crazy as a cabbage. But I feel that I am on the right track even if I cannot perceive the whole stage yet, and that is perhaps because others have turned out the light, so that we merely see the headlines. But there is more, a lot more and I am not seeing it all (I’ll freely admit to that) 

Have a great day today.

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October 9, 2026 · 06:24

The issue with grandpa

That is how I saw it and I was woken up to ‘Microsoft Surface Laptop Ultra: An AI powerhouse with a RAM issue’ an issue that made me frown. So we get “the Microsoft Surface Laptop Ultra has been unveiled, equipped with the Nvidia RTX Spark chip. There is no European equivalent of the starting price yet, with the $2,599 price tag from the U.S. serving as the best indication. For that price, you’re not getting a workstation: 8 cores, 24GB of RAM, and 512GB of storage. However, the built-in magnetic USB-C charger is included as a premium-looking feature”, no no that is not the world we live in. We see the reported “With 128GB of memory, which provides the AI workstation with a reasonable amount of RAM for sophisticated AI models, the Surface Laptop Ultra costs nearly $6,000. At that price point, another alternative has been announced: the Surface RTX Spark Dev Box, a mini-PC for developers that also features 128GB of RAM. Pre-orders have begun, and shipments are expected on October 16.” But then the article gives us the bottleneck. You see, it woke me up, because the is the same setting we had in 1992. A system dragged down by ram (different specs in those days) we are given “The problem facing the Surface Laptop Ultra, and many consumers, is the RAM crisis. Because memory is currently extremely expensive due to high demand, it isn’t necessarily appealing to purchase the hardware for AI on one’s own. The problem: since AI is then only available remotely, such as Claude, ChatGPT, or various models accessible via API, demand in that area grows, and the providers of these services purchase more memory. This is how the price spiral continues to spiral out of control. As a result, the entry-level model of the Microsoft Surface Laptop Ultra is very limited. 24GB, although unified, is downright insufficient for AI. That’s the same amount offered by an RTX 4090 GPU; the difference is that, as a standalone graphics card, that chip operates much faster at the cost of significantly higher power consumption. But the rest of the PC still needs additional DRAM to run the system itself, so unified memory must strike a balance. Actually using 24GB for a single LLM is therefore unthinkable: the OS, other processes, and any applications also need memory space.”

For reference the MacBook Pro gives you 48GB Buy for $4,699.00 with 2TB of storage and this setting is what I call a flim flam option. Just give it a song with all the bells and whistles and se how that sails. So, as I see it, its kinda true to get “As a result, the entry-level model of the Microsoft Surface Laptop Ultra is very limited. 24GB, although unified, is downright insufficient for AI” and there is the rub, the laptop is completely insufficient, but if they mention the high end of a component costing the same, it falls away. And when we see the added “But the rest of the PC still needs additional DRAM to run the system itself, so unified memory must strike a balance. Actually using 24GB for a single LLM is therefore unthinkable: the OS, other processes, and any applications also need memory space.” A setting of a NEW laptop where we see the need for massive required additions is not a new laptop, it it (as I personally see it) a refurbished prevue generation gaming laptop with a brand new logo. Is that what Microsoft has become? Old news with questionable hardware options? 

So with that the article switches to Mac, making it a ‘but they are in the same setting” and we are given “Ultimately, consumers have little say when it comes to pricing. However, there is a choice between Apple and Microsoft. The Surface Laptop Ultra is explicitly a counterpart to the MacBook Pro with the M5 Pro chip. The specifications for the entry-level model are actually very similar: an 18-core CPU, 24GB of RAM, and Wi-Fi 7. However, Bluetooth 6 is missing from the Microsoft model, which “only” supports version 5.4.” Yet we aren’t given that Microsoft apparently offers 512Gb (not unlike my Android phone) but Apple has a 2TB storage a 40 core GPU with 48GB gives you a lot more for that ‘price’ and of course there is no mention that upgrading to more memory is $400 for 64GB, the step from that to 128GB is however $2000 and for a thousand more you upgrade storage to 4TB. I am in the middle needing that, but I have different settings. And whilst a vlogger wants to make that jump, wielding Adobe solutions like a magical wand that you wave and shout ‘Firefly Permissus’ because that is what vloggers (apparently) need nowadays to get their numbers up.  As such the Mac approaches the “the Surface Laptop Ultra costs nearly $6,000” and as I see it, the specs of the Mac are decently better at that point (and you don’t have to shy away when people stare at the Microsoft logo on your laptop) but that is more of personal nature. But the setting of “24GB of RAM, and 512GB” is one that has thrown me for the longest time and as I see it Microsoft has something it pretends to be ‘the start of the upper class’ whilst it is nothing more than last seasons gaming laptop of Asus. As I see it Microsoft doesn’t learn, or its master in the boardroom is still unaware how the market reacts. And there is no real setting for memory, it is expensive, we see that and it is expensive all over. And that is not even the worst news, because that part isn’t given and we cannot blame the writer (or Techzine), you see, in other places we are given “SK Hynix warns of worst-Ever memory shortage in 2027” which implies that if you can afford it get it now, because the prices will go up drastically within 10-20 weeks. And that leaves Microsoft in a bind. Because that will make their Surface Laptop Ultra massively short and super expensive to make it fit. So, its not all their fault, they can blame their copilot for that. You see, this setting was clearly foretold with predictive analytics and as such with their (fake) AI. The fact that simple stupid me could see it shows you how shortcoming copilot is. Doesn’t it uses OpenAI’s large language models? And what exactly is Microsoft’s proprietary Prometheus model? It is OpenAI with a MSLogo? (I actually don’t know the answer here, I have never ever looked at Prometheus), 

it makes me remember that guy who stole fire and gets ripped asunder by eagles again and again until time stops. The image was better captured by photographer Carl Bloch (they were called painters in those days) although Zeus had a more impressive beard and longer hair (in those days). And in case if you think it is rambling. You would be wrong. You see, Microsoft wanted a cool name, but Prometheus was (by all accounts) a thief, a deceiver and optionally a charlatan. Out there for his personal ‘needs’, the one we name pride now. And it has reference as this is the same setting we saw in 1994, 1999 and 2011. Microsoft stating (in those days) “We do’t expect any additional needs” which is a reference for memory (and storage) all whilst they already knew that their is a bonus for the additional needs and we get to pay for that. And as I saw it (in 1999) Asus was already more than aware and giving us more than we needed. So I merely see a return to old stupidity, or perhaps better stated short stopped settings all for the good of bonus sales and when they have you on board, you can stop with what you have of give more. And when we see what is actually required (which we are shown with) “24GB, although unified, is downright insufficient for AI” and that should have been clear straight out of the gates so, why didn’t Microsoft properly address that from the start? 

Makes you wonder doesn’t it? Have a great day today

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