Tag Archives: technology

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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September 26, 2026 · 16:39

TradeDelicious

Yes, a difficult word and not one I understand all the time, that blissful feeling that oozes over me comes with a shortage and it is shared by all with a weak understanding of economy (not something that happens to people like Mark Carney), but I (the one and only) an at times blissfully ignorant of the economic condition. As such, at times, I fear that ‘weakness’, but I do not fear being weak on this, as such I try to keep awake (as like, not sleeping) on the economic condition. And I was ‘made’ aware of an article in TradingView by the headline ‘Michael Burry Warns Microsoft, Amazon and Oracle Could Face AI Write-Off Shock’ where we see “Burry said net capital investment by S&P 500 companies reached 2.07% of GDP at June 30, a level he described as the highest in nearly four decades outside the period following the 2000 Nasdaq peak. He estimated that Microsoft (MSFT), Amazon (AMZN), Alphabet (GOOG) (GOOGL), Meta (META) and Oracle (ORCL) have about $3 trillion in commitments and other exposures linked to AI infrastructure, including leases, construction projects and purchase obligations.” So, whilst we also see that these are the firms that ‘eloquently’ dismiss staff members all over the globe, the idea that 5 firms have over 3000 billion invested on fake AI settings (my personal view) is a little too shaky to consider and that needs to be taken into consideration. You see, I don’t care about Microsoft, they did this to their self, but I am concerned about Google and Oracle. They are the massive backbone of larger IT. And they are firms where I would have liked to have been part of and part of me still are. I deliver support and customer care and as such I believe that these two firms are part of what most of us really like. But I also see that if support and customer care diminish in these two parts of IT, customer care will really falter on a near global foundation and as such places like TradingView are making me aware of hardship coming our way and don’t take the words of Satya Nadella as some kind of gospel. A little less than 15 hours ago he basically proclaimed “Nadella thinks the AI industry is too self-obsessed to explain why anyone else should care. “I think we are way too self-obsessed as an industry about, look at us, how glorious we are,” he tells me. His prescription is to let the people using AI speak to its benefits and demonstrate that it creates economic opportunity for workers and the communities hosting data centers. More pronouncements from tech CEOs won’t do it: “Any amount that I say or any one of us say is not good enough anymore, I feel.””, I say that anyone claiming that a fake setting is glorious, I have said so again and again. And the ‘doubt’ (brought like a second hand car salesman in a championship voice) will not cut it and the people are figuring this out, right now, the world is figuring out that that AI is a sliding scale whilst more and more are realizing that this is over a decade away, so that issue with Trust is a hidden trap. He, in the near past stated that he “envisions a future where enterprises manage millions of AI agents working alongside human staff”, really? Microsoft cut more than 15,000 jobs across two major rounds in 2025 to reallocate resources toward massive artificial intelligence (AI) infrastructure investments and 4800 jobs in 2026. That is massive and the claim that “An autonomous “always-on” digital teammate running on cloud servers that can work 24/7 without waiting for a prompt. Users assign it a name, role, and goal to track project decisions, watch channels, remind colleagues, and manage multi-step workflows” I reckon he got that ‘Always on’ from Don Mattrick and you know what happened there. It basically costed him the entire gaming branch Microsoft ones had and now that is basically gone. And then for the longest time he ‘proclaimed’ that “Microsoft and industry research project that more than 1.3 billion AI agents will be in operation across global business systems by 2028” and whilst we can see that 1.3 million (a 0.1% part is coming true, the idea that the 99.9% comes within the next 14 months is laughable to say the least. It is predictive speculation (which is nothing like predictive analytics) and he better adjust his point of view and I saw that even before he made that claim. I speculatively am considering that he has been sniffing the Microsoft glue too much. So as we all take notice of this, we also see that people Like Oracle have been footing the hardware and software bill and the makes sense, because no matter how I see things, even in predictive analytics, whomever holds the hardware and software will become undisputed rules of that field and that is where I see Oracle going, as such “Oracle has cut approximately 21,000 jobs globally (about 13% of its workforce) over the past year as part of a major corporate restructuring to fund massive investments in artificial intelligence (AI) and data center infrastructure” (source: BBC) makes little sense. In all earnest, if people are to embrace the data centre vibe, Oracle needs more, not less people. Because all these dim witted  IT population out there needs to come massively aware of the shortcomings of data centres and with that the people who are learning that trinary beats binary in that field will take massive undertaking and even as Oracle is one of two players to be aware of that (Snowflake will be the other one) we can see that the world will undergo changes and massive ones. As such I felt that my ‘expertise’ in training, tech support and customer care would be my asset when all this hit and that current population of ‘yay’ sayers will undo itself in a haze of confusion when the world gets the setting that they had been betting on the wrong horses all along. It basically would set me up for a better job in the currently near future in Canada, the UAE, EU or other commonwealth places. Because the truth is that when people are figuring this out, the people they fired at Oracle will be worth their weight in gold and I feel that I would be on the ‘good’ stack of people discarded a little too soon and the was making me happy. 

So to see the View of TradingView where we also see “Burry expects investment to keep rising and said write-downs could emerge around 2028 or 2029 if AI capacity exceeds demand. He compared the current spending cycle with the late-1990s telecom buildout, when heavy investment was followed by excess capacity, weaker returns and substantial depreciation. He also questioned Oracle’s treatment of customer prepayments and cited rising financing concerns surrounding its large data-center projects.” But consider that he states that “when heavy investment was followed by excess capacity, weaker returns and substantial depreciation” comes with shortage of staff and the ‘figment’ setting of 1.3 billion AI agents. The pure waters will require tens of thousands of support staff, because when that part goes, the global customer care and customer support stations will be empty of people and anyone not ready there will be requiring that group of people to be fought over and quite hard. And in all this, no one is looking at the requirement of IBM at that setting and it will acquire as many ex-Oracle staff as they can for the mere need of support for its IBM Bob (basically the IBM Watson AI branch) coding agents and that shortage needs to be filled up fast, because as we are given “IBM Bob Powers Faster Innovation, Higher Productivity & Modern App Development. IBM Bob Accelerates Development by Automating Complex, Time‑Consuming Works. Earlier Risk Detection. 100K+ visits in past month” Yes, there is a market for those who are putting in the time and the hours and that is where (at present) IBM will surpass all others and whilst I hate to see that Oracle is to be surpassed, they did this to themselves. But as I see it, the market is ruled by those who steered firm and clear past the ‘AI BS’ that the world is drowning in and IBM is one of the few who seemingly did this. So whilst Oracle, Amazon and Google will require strong readjustments before 2027 cones to an end, they will feel the heartache (preceding their own upcoming coronary) and I felt that as I took all settings of training, customer care and technical support in strides, feel that I am in a really kosher place. Whether this is in Mississauga, Abu Dhabi, Sydney or Stockholm. I felt that I would end OK is a pretty cool feeling and as I see it, Oracle and IBM are pretty good bosses to end up with. So I saw that other who saw this too, because they were actively hiring the fired Oracle staff members and that is fine with me. There is a whole world that will scream “Who can we hire?” And I am merely listening to the sound web for the right signals. And that is more than all he wrote. And the ‘end’ quote on “The remarks center on future capital intensity, with the impact depending on how quickly AI demand develops relative to new capacity.” Sounds right, but it is not. Well, perhaps for Michael Burry it either is or might be, but the larger setting is that whoever have the stuff to guide whatever the larger population of IT sweeps need, the stronger that firm will be and I reckon that Snowflake is in a decent place and IBM soon will be and after that I hope that Oracle reattaches the needs it has, but the others? They will become canon fodder and consider that someone (not saying who ;-)) claimed that someone claimed that 1.3billion AI agents are doing the work in 2028 and then fires over 20,000 people and leave someone to rehires and retrains them was a little of his game. But when you rely on your own marketing to tell you the story, that is where you are heading. But that is merely my own (and optionally wrong setting). So whilst I am ‘considered’ the false prophet and I have been stating the same thing for over 5 years, all whilst the ‘adjusting impressionable’ influencers adjusted their own story each and every wave and I am still in the setting that this AI (or super intelligence) is still over a decade away, all whilst my setting of advocated predictive analytics is now shown to be a correct view is now accepted by the IT community at large is the stage you should be considering and Michael Burry is seeing a different part, but this adjustment of over 3 trillion is coming and whoever is caught in that wake will face serious considerations and whilst I am still dreaming of a nice apartment in Mississauga or Toronto is seeing where the power will soon reside, is showing a massive setting that might come with hard work, but I reckon that these places will prefer a person who saw this in the first place instead of a YAY sayer who is adjusting their view for the umpteenth time is feeling like the proper boss to work for. 

So as I see it, my time of cakes, putting and a nice warm living room is about to see the light of near luxury. And it merely took my smarts, which is what any Uni graduate will like from the get go. Have a great day all.

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September 24, 2026 · 01:42

Rebranding the XXX farm

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

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

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

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

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

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

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

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September 22, 2026 · 14:29

The delusion express

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

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

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

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

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

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

Have a great day today.

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September 16, 2026 · 22:43

What the eyes see

That is the question at times. So is it ‘What the eyes see’ or ‘What the iiii’s see’? Both are applicable and the setting is that is comes with a subjective view. That is often the case. But this is not about the particular. The article that passed my eyes was quite good and the subtext is “The AI hyperscalers will likely spend more than $1 trillion on data centers next year. Can they make enough money to sustain the infrastructure boom?”, the question reverberates as I have been asking that same question for some time. We all see the ‘investments’ that goes deep into the trillions, and no one seems to be worried about Return on Investment, a setting that is clearly asked in every boardroom in the world. And no one is willing to walk that question. So I grin from a distance and see all these people go “AI AI AI AI” and more of that. Then they all point at some newscast where President Trump states that “The golden age of AI” is upon us. But that simple statement ‘Golden age’ requires a return on investment. That is how it always goes as long as Ive lived and the term return on investment might be somewhat new, but the setting of that requirement was already old when a panting in 1639 was commissioned. It was then lost and found again and is now known as the Night Watch (a sketch by Rembrandt van Rijn) and the article starts rather strong with “When Jessica Wachter, a finance professor at the University of Pennsylvania’s Wharton School, wanted to assess AI’s impact on the economy over the next few years, she faced a long list of business and technical uncertainties. So she started with what she calls a “remarkable fact” that is not in question: A handful of so-called hyperscalers are investing huge amounts of money to build AI data centers. Instead of trying to predict how useful and widely deployed AI models will be, she simply asked how fast the hyperscalers’ earnings will need to grow to justify their spending through 2027, when—she and her collaborator estimate—expenditures will reach nearly $1.1 trillion. It’s a no-nonsense accounting approach to making sense of today’s historical AI buildout.” The source is (at https://www.technologyreview.com/2026/09/15/1144028/ai-infrastructure-boom-investment-bubble-risk/amp/) and it is called MIT Technology Review. We are also given “While the hyperscalers plan to spend trillions, total AI revenues will be around $150 billion to $200 billion this year, says Gary Gensler, who ran the SEC during the Biden administration and is now a professor at MIT’s Sloan School. “The challenge is that the spending does not have commensurate revenues yet. That’s a fact,” he says. “And then the question is, is that an investment that will be paid off in the future?”” From a distance (as I personally see it) it is a bundle of technology firms who have (on the books) trillions and they are using it to play ands of high risk poker and the world is allowing this, because if they lose it all they can write it off against their taxation, so the people basically pay for it all and I see it as a whole lot of nonsense because AI does not yet exist. I have written about this on several occasions. So, should it not be done? I cannot answer this, because Machine Learning and Deeper Learning (what I call Deeper Machine Learning, or DML) is a strong tool, and it could come with Large Language Models (LLM) if that setting is warranted and it was merely wrongly sold. It gave me the setting that court cases would reign over all this in 2026 and I was proven correctly. What we see now, is a clever use of predictive analytics on a much larger scale, but it is not AI, as such the Return on Investment needs to be strong. And as we see here (in this article) “At stake in that trillion-dollar question is the financial health of the giant AI companies and the overall US economy—the investments could soon balloon to around 3% of GDP. The answer could also determine the fate of the hugely expensive data centers themselves. No one really knows how profitable and useful these multibillion-dollar behemoths will be down the road. Though AI models have made dazzling progress over the last few years, it’s anyone’s guess how much compute capacity we will need. The technology could become more efficient and therefore less dependent on raw computational power. Or demand for AI products could slow, or customers could turn to cheaper models.” And whilst we think of the risk that ‘cheaper models’ give us, that setting might prove rather difficult, because when cost is pushed to make way for revenue, costing becomes a big thing and it really is a big thing. So when we are given “No one really knows how profitable and useful these multibillion-dollar behemoths will be down the road” the issue of return on investment will show its ugly head and that is the price part of this debate and no one is having it, because these boar members are all “We need AI and we need it now”, all whilst the return on investment is not proven and not shown anywhere. Don’t get me wrong. There are clear cases where a setting exists and options exist. I was shown the case of the issue of lost property and the stage was shown that from weeks, there is a setting where weeks could be turned into a setting where it could be done in under two hours. That is clear return in investment and for airports and bus terminals it could be a space saver. And from there we see interactive improvements. These are good ideas, even great ideas that when AI is finally here it will become powerhouses, but there is the setting that proper database work and LLM might do the trick. Clever programming that does not require AI. We got by just fine before this fake AI and whilst these snake oil vendors are so settled in ‘their’ AI, all whilst they are using the principles of predictive analytics and that is not AI.

So then we get to “The risks, both to investors and to the economy, have become even greater this year, as these AI companies have begun borrowing large amounts of money to build more and more data centers. Free cash flow—operating cash flow minus capital expenditures—is expected to soon dip into negative territory for the group. Even Alphabet, known for generating and hoarding huge amounts of cash, reports in the latest quarter that its impressive revenues of nearly $120 billion were devoured by AI infrastructure spending, leaving it with a free cash deficit of some $5.9 billion—its first shortfall since Google went public in 2004.” This is because I see another shortfall in the short term. Everyone is so driven towards data centers, whilst President Trump has driven the EU and other places away from the vendors of the United States and the term ‘data sovereignty’ is becoming more and more commonplace and whilst everyone is seeing these data centres and Stargate centres. It requires data and the EU is moving fast away from whatever Microsoft and Google are handing down towards their own centers not using software or hardware from the United States. The cloud act is now making that no longer an option. We get that from Politico, who gave us some time ago “Europe is actively trying to break its deep-rooted dependence on American big tech and cloud infrastructure. While major U.S. hyperscalers (like Amazon, Microsoft, and Google) still control roughly 70% of the European cloud market, public institutions and governments are shifting away from them”, as such 2027 might see a rather large turnabout and what happens to these data centres that are lacking data? You might think this is easy, but it all impacts the return on investment. 

So when we get to “Performance of the expensive GPU chips at the core of the data centers—such compute electronics represent some 60% of costs—is roughly doubling every two years or so. The pace of progress helps explain the increasing wizardry of the AI models, but it comes with a cost. Owners of AI data centers that come online this year and next will need to spend billions more on the next generation of chips by the end of the decade if they want to stay competitive. Without the investments, says Mihir Kshirsagar at Princeton’s Center for Information Technology Policy, the data centers risk becoming “hulks,” stranded assets “scattered all over the place.”

To put it bluntly: The AI companies need to start making a lot more money. And they need to do it fast. But juicing their earnings alone still won’t be enough to sustain their data-center investments for the long term.” And that is merely the beginning and I saw this roughly two years ago when I questioned the entire return on investment setting in all this and this article written by David Rotman does a good job, even more eloquent than I would have been. Although we basically say the same, this article does so a little better (and definitely more eloquent) then I could have written. So when you see the billions due next year, optionally over the next 2 years. Where is the return on investment? Because that is the question that is out there and as the IT field is changing and moving away from the United States, they too will see diminished revenue numbers. That much is certain, so where does this all stand? I am expecting a setting of actual AI to be a little over a decade away, it depends on certain factors and it also take in account a setting that I personally see (which might be wrong) but I feel that there is no AI, or as some call it true AI and I believe that requires a trinary data setting. As I see it it requires quantum computers (which exist) with shallow circuits (which is still in an early stage, as far as I know) and it requires a trinary coprocessor, which I call a Epsilon processor. These elements are required for an aI system, I set the system using a trinary coprocessor because that makes sense in a setting that is in part binary, that setting makes sense. We cannot merely push trinary systems through, there is will be a stage where they both need to exist. Later these systems are likely to be completely trinary, but that is merely my thoughts on the matter. And all this is still set towards the stages of return on investment. When you are considering this, how many billions are still required and who is willing to place this onto a systems that is unlikely to turn profit for a few years, optionally ver a decade. Who has that kind of money? There are a few, but are they willing to surrender that kind of money? The question might seem simple but the setting is not as straightforward as anyone thinks. And I saw this all along, so who gave you all the idea that the golden age of AI was here? Because that requires a massive revenue, or am I wrong?

Have a great day today, I’m now 90 minutes from Thursday and in Toronto it is now breakfast time. The idea to start the day with breakfast in Eggspectation on Bay Street is a little overwhelming for me at the moment. So you all have a good one and I will write to you in about 17 hours. 

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September 15, 2026 · 16:19

Changing the byline

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

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

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

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

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

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

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

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

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