Tag Archives: technology

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 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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October 7, 2026 · 01:55

A New congregation

The idea hit me a moment ago whilst I was watching YouTube. Videos on the Vatican, as well as (bad) AI movies on Star Wars and all these thoughts mixed a different setting. You see, I always believed that games are the best instruction methods. It won’t make you a Ranger if you ace all the Fortnite campaigns, but it can be used to instill abilities. One game that stood out was ChipBits (CBM64) and I heard that a new version was made on Windows by the original makers. I hope it works out for them, I really do. But these thoughts were mixing when I was considering a few things. 

Last week I saw some add that offered AI programmers over $400K annual, which sounds like a ploy of desperation, even in the height of Oracle’s needs, no programming DBA ever made that much money. And it is ludicrous to think so. Plenty of programming jobs exist and you can make a real decent penny, but not ever that much. Then there is LinkedIn with its Microsoft tethers and there are massive needs to get people on board in many ways, but I see them as hollow sales ploys. As a service minded person, I see the desperate effect of these moneymakers trying to get you on THEIR side and that is how they reel you in, then there is the setting of courses which will pull your wallet for several thousands and when you come to think of it (the small consideration that all AI is fake) we have a problem.

Don’t get me wrong Machine Learning (ML) is real, Large Language Models (LLM) are real (I tend to call them DML (Deeper Machine Learning) and we have Predictive Analytics and that is real and they are powerful tools, but Predictive Analytics has its own flaw because that is data based and data that is unvalidated and unverified becomes a real threat to that solution.

So where am I going here?
So when a place like Google offers a game not unlike ChipBits but modularly growing in several directions with additional settings over time (like trinary parts) and infill these skills of programming into a game letting the older youth (I think they are called teenagers now) get into that field completely set in a Google place of mind, both players (a Gemini reference) could grow actual skills without spending too much money. I reckon that Google could offer that for a simple $10 a month. Something most could afford, optionally it starts after you reached level 2 or 3 and you get the first three levels to home your skills free of charge. It creates traction and as such you could grow a population that embraces your solution without you having to push the fake AI setting, explain the ground works of predictive analytics, teach these gamers (aka students of life and education) the use of LLM and how to set this in machine learning. Now consider that the game will have partial settings not unlike ConfirmIT with a sort of Script setting that brings the knowledge to the ‘game’ and as these ‘gamers’ grow their knowledge you grow the population and create traction towards Gemini (and Google), the simple approach to adjust a good gaming principle towards a common goal most of us needs without draining them of their livelihood and consider what firm offers $400K a year? Where is the return on Investment? And I saw the same ludicrous setting over a decade ago. We now see “500+ roles are listed across platforms like LinkedIn Sydney AI Jobs and SEEK Sydney AI Jobs” I saw it a decade ago with DBA roles and I was told there were over 1600 jobs. All empty, no real jobs and it starts all over again. So now I am creating a setting where people trying to get into this field have a chance, properly informed and not some OpenAI/Microsoft sales talk to get you on board to THEIR solution. 

I think the idea has a shot of working, but I reckon it is up to Google to consider. Optionally Oracle could use that idea, but I think they have a solid training ground with their DBA trainings. 

Anyway, that was my idea to slice through the job BS that we are seeing now. Have a great day.

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October 6, 2026 · 10:25

Just like that

This is what I was given a little over 5 hours ago when I was given (at https://www.bbc.com/news/articles/c5j9x9pr0240o) ‘Pentagon stops using Anthropic AI tools after blacklisting company, BBC told’ with the subtext “The US Department of Defence is no longer using Anthropic’s AI tools, an official has told the BBC, months after it designated the company a supply chain risk on national security grounds. The Pentagon “has ceased the use of Anthropic products”, the department official said in a statement on Monday.”

We can speculate all we want, the simplistic version that I reach for is that all AI is fake, it is an advance form of predicted analytics and as I was able to set the stage of ‘Maybe we bomb Iran to hell’ (or something of the sort states by President Trump) all whilst I needed nothing more that the advanced statistical tools seen below:

An advanced statistical took invented by Babylonians 4500 years ago. And it told be that the US will have depleted its stockpile before that happens and it needs 3-4 years to get their stockpile up to date (that is if they have the dineros to pay for that all) and there is more, because a war is won by grit (in the very least) and I reckon that the tools by Anthropic told them as much and what does this administration do when the outcome doesn’t match their reasoning? (Im leaving that in the open) But the setting of National security is a laugh to say the least. The end of the article by the BBC gives us “Hegseth designated the company a “national security supply-chain risk” – a law typically reserved for companies based in countries that pose a threat to the US.” So what is a ‘supply-chain risk’? Im just putting the question out there, because if these are tools specific for the defense department, so either it will not or does not give the answers they need. Optionally it makes Anthropic the juiciest tool in their tastebuds, but the distancing parties are at least as intelligent as I am and they see that beyond the marketing all AI is fake (at present) as such what danger is there to national security? At best it is (under optimal data settings) a decent predictive analytics tool, under debatable settings (like I heard from my coworkers in Chicago) that certain ‘people’ gave them the run around with excuses like: ‘we’ll fix this on the backend’ or ‘we are about to get there’ and I reckon they never got these points settled, it was too hard for them. As such their national security is riddled with the GIGO laws in place (Garbage in, Garbage out). Now this last part is presumption, because I was never in the know. But it is the most likely of settings and anyone deep enough with Anthropic (or OpenAI) could see that in a near instance and that is where the trouble starts. As I personally see it Dario Amodei has a backbone, a hardcover, not a paperback like Sam Altman (I merely accuse him of being narcissistic, which is not a crime) as such the defense department is likely making a few changes in the short term (or if they are merciful on their data departments they will cut these fake AI’s all together).

I would prefer if they do that AFTER they pay Oracle for their services, but I don’t work for Oracle, so I actually don’t care. But it would be nice for Oracle. I am a decent bloke in that regard. As such the hardcover mention comes from “But earlier this year, the Pentagon pressed it to remove its safety guardrails from Claude and give the military unfettered access to its AI products.

When Anthropic refused, citing concerns of mass surveillance and autonomous weapons” which is a likely culprit, but it in not the only reason. I reckon that any media worth its salt has been pouring over the data chaps in the Defense department for a while now and as they are not as heavily dined like the people at Langley they might spill a java bean or two during desert to one of those Washingtonian women in journalism, but that is just me postulating.

I reckon that there is some truth that this US administration would like to blame Claude for whatever comes next, even if there is enough data out there showing that the GIGO laws are to blame and the people in charge are ‘assuming’ that the data is flawless when it wasn’t even close in the late 90s and in the 20 years that followed the mess got greater. Because from two faulty assumptions a truth can never be distilled and that is the one direct consequence why I am so intent on verification and validation. All results derive from these two truths in action and in place and as far as I can tell none of these systems have this, as such the predictive analytics are prone to errors, the fake AI can never derive anything from validated data and if there is no verification the faults merely increase. So what happens? Mass surveillance goes wrong because the the subject was non-caucasian and that is before we get the setting that translation errors of a passport come into play, the simple validation of a passport, a human requirement and all that is up for grabs as we consider the BBC article where Pete Hegseth is looking at the President like he is admiring ‘his Masters Voice’ (older readers will get that reference). 

And just like that we see another ‘failure’ (in a good way) hit these fake AI (or Super Intelligence) hit the world. So where are you in all this? I am merely asking, because we have a multi billion dollar device being outclassed by a $30 device not needing electricity. Did I oversimplify the problem here? Have a great day today.

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October 3, 2026 · 00:03

Is there plus plus?

An idea escaped me today. I might have had it before, but it stood in my brain rather still. You see I am playing Skyrim for the (fifth or seventh time) I played is when it was released on 11.11.11 and a few times then. This time was because o wanted to see if it was so much better in 4K (I only recently got a 4K TV) and I am having a ball, but there is a lot that is merely passing the time. I played it too often, as such I know what is coming. But wouldn’t it be great to ave a surprise in this case? As such I was thinking that if you do it again and you deal with Alain Dufont but you also need to deal with the quest by the elderly alchemist Frida. If you have also done the mission that Bothela from the Hags cure give you, you could get a letter from an additional mission (somewhere, somehow) which will be a mission you have never done before. (Like getting 5 Briar Hearts) you could add at least 9 missions to them and optionally a few more. The idea will make you consider every mission you have done and whilst replaying the game, you will get a few more missions. Don’t worry Skyrim had plenty of mission, there is a chance I have never seen a mission (I doubt it, but never mid the chance) and in a game this large the surprise of ‘I never had this mission before’ is a very welcome change of pass. Such missions are also possible in Horizons and I reckon they should be added through the side missions. Consider even one RPG, the idea comes like a merit giving extra in any game. There could be an extra to these missions (for any city you have a house) which would given you an optional bauble (a cosmetic extra) for your place, like extra tapestry (Markath) or a painting (Solitude), the extras that you could receive are numerous. And I am merely giving Skyrim as an example. The same thing could apply for a Fallout game or an Assassins Creed game. It opens up the benefit of replaying that game and it is important to make is as a NewGame++ option. Because as I see it, there was nothing wrong with the original games, thesis merely a little boost into getting the heart pumping towards that game. It could be that Kesh the Clean (Peryite) could given you an extra mission if you became a champion of Peryite and did one additional mission if you had given a gold coin to Lucia in Whiterunb. The possibilities are numerous but that extra will give the player a few small surprises in a game that they didn’t see coming and that is part of the charm or Skyrim (or any other RPG game). 

So as it is now time to emulate a sawmill, I take my leave from you all. Have a great day and enjoy the world we still have for now as President Trump is demanding the EU releases its diesel reserves. I reckon that things in the United States are getting worse quickly, so while Al Jazeera gives us “The European Union “fully rejects” a US demand to release emergency diesel stocks as the fuel’s price soars in the United States and elsewhere amid the war with Iran.” I reckon that the end is nigh in the United States. I always saw this coming, but the bully tactic to someone’s reserves is a new one. I reckon that things are about to get really bad. So time for adjustments to a game to give people something to look forward to. So whilst some are giving us “It comes as US President Donald Trump says he may ask European countries to release diesel reserves as he considers banning US exports of the fuel” I reckon it is time for the Commonwealth (particular Canada) give the EU a larger advantage and watch the United States turn from the inside out. So lets see how much oil Australia could send the EU (the United Kingdom too) It might not be much, not sire how much LNG and oil Australia drills for, but I am all for seeing that way from the United States (if they got any) it is the only response that bully tactics invoke on me. 

Have a great day all.

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October 2, 2026 · 04:04

Is there PMS?

Yup, I went there. And I went there intentionally for the simple reason that this is about Predictive Modeling Security. It comes from the dangers of predictive modeling. I suddenly realised that President Trump wasn’t all that bothered with AI (apart from the class actions in play at present), the dangers are in a much more niche setting. You see, the main dangers off predictive modeling are numerous and there is every chance that all these fake AI’s are getting toppled by them. 

First we get Algorithmic Bias and Discrimination: Models train on historical data. If past decisions or societal data contain prejudices (optional predictive policing), the model codifies and scales them.This is a round about setting of the errors of historical data is a dangerous slope. It come clear through the absence of clear validation and verification (a setting I told you all about in my past stories going back months, up to a year ago I saw that danger pop up. But when we get away from all the fake AI and we concentrate on Predictive Modeling (what is more and more used) validation and verification becomes a much tougher nut to crack. But where is that and the answer is a speculated everywhere. Because when we ‘kinda’ accept bias in these fake AI settings, the presented concentrated in predictive modeling becomes a lot more dangerous and some make away with jokes. Jokes like “70% of women are medicating, this tells us that 30% doesn’t realise that they need medication” a simple joke that paints over the setting of bias and the dangers of what medication we are talking about. Two generalized settings and it is ‘laughingly accepted’ with the offsetting “It’s just a joke, don’t worry about it” but that is the problem and when we take a less simple setting like credit scores and optional housing scores. The setting intensifies, because now banking references are set in that same policing setting. So when were you last set in a banking dispute and someone told you, this is an obvious error and we will adjust that. But that is the ‘paint over’ setting, but who was thrown into that mix? Australia has a huge housing problem and that is where this setting of bias hurts the most. I reckon the United States as well, but that is speculative, because I have never lived (or ever want to live) in the United States. 

Then we get to Self-Fulfilling Prophecies: Accurate prediction models in healthcare or social services can alter human behavior or clinical care paths (e.g., withholding treatment based on a predicted poor outcome). This causes the prediction to become true even if the original forecast was flawed. Which is in a serious setting in any aging population, which by all accounts was most of the world. Apart from the setting that I do not call them ‘accurate prediction models’ the setting is that fake AI is riddles with these passages and it is not just withholding treatment, the setting of treatment that a person is rightfully entitled to is getting shoveled under the carpet in way too many expected cases and the danger here is seen in “This causes the prediction to become true even if the original forecast was flawed” but anyone who knew IT in the 90s knew this setting that not just flawed, it grew the setting of the GIGO law (Garbage In, Garbage Out) as such the fake AI which was flawed became unreliable at best and flawed data never ever becomes a true prediction. It is like doing the right thing for the wrong reason, the reasoning becomes corrupt and at best defeating the purpose. Make sure that you take notice of the ‘at best’ setting, because in this age where validation and verification are nowhere to be found the fake AI becomes a point of hindrance. And Personally I think that this is now becoming an issue and the is why we see people like Sam Altman, Dario Amodei, Elon Musk, Mustafa Suleyman, Sundar Pichai and Demis Hassabis becoming more and more cautious in all this, or at least that is how I see it. They all most have been aware of these settings, but I reckon that these settings are taking rather large settings and they are ‘whisking’ it away in the hallucinations setting of perhaps something like a rogue AI settings, but when you realise that this is all driven by advanced predictive analytics. The stage becomes a dangerous one. We see the joke with the setting ‘Is this mushroom edible’ and we laugh, but the underlying setting is not a joke and it is hammering on our rights in numerous directions. 

Then we get a part I am not too familiar with. It is the setting of Runaway Feedback Loops: In areas like policing or resource allocation, sending more personnel to targeted neighborhoods generates more recorded incidents in those specific zones. The model misinterprets this as proof of higher crime rather than a product of increased surveillance. (Source: Gilbert and Tobin) there are two settings in play, proper administration of case identifiers and the second are the sources under the cause of the action. I still think it comes from inadequate validation and verification, as such I could be wrong and the setting could be due to predictive analytics, but I reckon that this interacts with systems like Palantir and other systems. As such the interaction of more than one fake AI. But it could be relevant to this setting. 

Then lastly we get two elements and they seem to be connected, but they are not. They are the stages of confusing correlation with actionability and the actions of the premise of what correlates and what is actionable. It feels like Palantir, but it is not merely them, it is mostly seen in hospital records and the healthcare records and optional insurance records, this is what is the likely culprit in what I speculatively call the pretense of cause and effect and whilst insurance is setting the premise of ‘This is not covered’ and the other systems trying to adjust, because the doctor said it was essential. Most countries have a good handle on this, but I am not sure the United States is on that par. And it all interacts with a high risk of methodological flaws: Studies show that many machine learning prediction tools suffer from poor data handling, overfitting, or inadequate sample sizes, leading to a high overall risk of bias when deployed and that is where I am different. I always considered all AI (which I call fake AI) as a joke and I am not taking it seriously, especially after I got word of some acts by said bank. I was never able to get the released goods, but that is the setting we are in. And what I have stated for the longest time “It all comes down to verification and validation” until that happens you have a trillion dollar failure on your hands. But that might merely be me. So when did you get any good answer from any vendor on AI? As a funny reference I am going to the Changeling (1980) with George C Scott, a decent movie and I enjoyed it, but what is Eric Winter doing there? He was born in 1976 and the movie was made in 1979, he would have been 2 years old. He seemingly started acting in 1999. If Google cannot get that part right (IMDB did make the correct references, like the unnamed actor being Erick Vinther) how much faith can you have in any fake AI? A simple setting of validation and verification. Oh, and I called out that mistake close to two years ago.

So have a great day and maske sure that you verify that it is Friday, because you never know who hands you the data. 

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September 28, 2026 · 02:01

Google’s endangering stride

That is quite the mouthful and I would have liked to have more ‘evidence’ but the setting is somewhat too dire. You see, I have been a lifelong fan of Android and Google and until recently (when I acquired my Pixel 11) all was fine. There were a few hiccups, but that happens in nearly every phone. So here I am with my Google Pixel 11 (Olive) and my Google Watch 5 (Also Olive) and a weird setting is happening. Weird is not the right words, because there is a distinct difference between ‘Weird’ and the ‘enabling hackers’ that is a little too extreme for words.

So in normal settings we get:

This setting where we have a setting called WiFi and I normally have it set to ‘OFF’ but in the last two weeks there have been over half a dozen instances where Google saw it as a setting where it should be turned ‘ON’ and that is too weird for words. I decide what to do and Google does not,  not even in jest, or win any setting other than MY given permission. Because there will always be a situation where it might need to be turned on and in this age of Cyberhackers and just hacking to appease organized crime requires a delicate touch (like in ‘over my dead body you fucking fuckwit’) but I reckon you get the jest of this. There is no instance other then your dedicated inference that WiFi is to be turned on and the current setting is too unacceptable to be considered.

So whilst Google can optionally come up with all kinds of excuses of why (without consulting the user) that it might be turned on, the real issue becomes ‘When will you ruddy well fix that’ and that is the nicest way of me telling Google that they need to consider the ID10T issue that needs to be purged from the holy archives of Google. It might be right next to the people relying on a RTFM setting. Which could be explained in several ways, but the largest setting is that the Google Pixel 11 (I have the XL PRO version in Olive) requires a rather large testing sequence and they need to figure out where this WiFi is (optionally) randomly switched to the ON setting. I am pretty sure that I have not been hacked, or that an unknown router was connected to my Mobile, but there is no way to tall for sure and Google needs to fix this AFAFP (As Fast As Fucking Possible) and I now remember that these irritations make me swear like a boatswain in foul weather.

So make sure that you check how your WiFi is set and it might be fine, but in this day and age, there is always the need for checking your connections.

Have a bloody nice day and Google, get off your lazy ass and fix this issue (like yesterday).

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