Tag Archives: AI

May 28, 2026 · 02:07

Out of the blue

So, I was attending a setting where I was dependent on customer support. I am being intentionally vague here, because the youthful young sprout side nothing wrong. She was just young (about my age millennia ago), but before you start judging her, and she did nothing wrong. I got to think “What if we had customer support settings on a DML level?” Consider this (overly exaggerated example) 

Tech help: Good morning, how can I assist you?
Customer: My house is on fire
Tech help: Please take a moment to assess how we can help, how can we assist?
Customer: It’s freakin hot, my house is on fire

As you might expect, this will not go anywhere useful soon. And you might think that this is an exaggeration, but when you are assisting a customer and he cannot get to his data, his life figuratively ends. So we need to get tech hardware to assist us. So what if we had a voice measuring setting? Not to interpret (even thought this might help too), a setting where the voice can be measured for stress levels. The technology exist, but consider that this might be overly expensive. How can this technology be made cheaper? Now consider a DML engine that parses the stress level and considers alternative responses so instead of “How can we asses you problem”, state “let us assist you too get your data to you”, but the system gives the tech help options, and the setting gives the 4-5 responses in colour. Red would be ‘Don’t do that’, but others might become options, Orange, Yellow and Green would be available. There will be moments when the Orange is the only one that makes sense, but Green would optionally be the best. And the learning setting that a DML/LLM support system has is that it can keep track of the answers and how it affected the customer. You see, I have been in tech support for decades and there are a few handles you can apply, but the scripted answer is never a great option (I never showed that to my bosses), they had too tender an ego to risk it. 

So when this system would be deployed, optionally with bells and whistles like zendesk, but most of these products are about recording data, not a setting that actively supports the Helpdesk to record and adjust scripts for aiding the tech support. And even if all these AI systems are fake AI, the data for customer service, customer care and technical support exists, there is plenty of it. So these systems are fake AI, but it is based on DML/LLM systems and they could bring a much larger change in this field. And as I see it, change will be required soon enough. The old guard of these systems are retiring and the new generation mostly lack experience. So why not let the DML/LLM system tweak the system? 

These were just a few settings I was looking at and at present I have no idea what there is, so I ned to look into this, because I might have developed an idea here, but perhaps so did someone else and I need to look into this to see what there is. So it is a little out of the blue, but I have been involved with customer care and technical support for decades, so I might has an idea or two to help this along. So, I need to mull over a few things and as I had nothing to offer DARPA (they are all in drone mode) I need to find a new hobby in the non-drone setting. Although destroying the Iranian railway systems are done based (as was my handle to destroy their refineries). And as DARPA is in delusional mode (as I personally see this) to get a drone carry twice the weight of the drone, is simply ridiculous. The Cessna 408 SkyCourier couldn’t do it, the ATR 72-600F couldn’t do it and the BAE 146-200QT couldn’t do this, and they have people in place who tried that for a life time, so why push the cogs of a civilian setting? I felt pretty proud that I as a non-expert in drones found a way to destroy Iranian railway lines and refineries. But I do believe that DARPA is taking this to a delusional stage. 

Still for now lets see what we can do to improve customer carer lives and reduce the stress they are confronted with. A much more rewarding result. Don’t you think so?

Have a great day.

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May 27, 2026 · 10:03

The thing about DML

Yes, as I said it several times DML is good, DML is strong and I would hazard a guess that with LLM it becomes a new world altogether. So, yesterday at Google I was given a challenge and I basically set up the the entire station in less than 15 minutes. But it was a group event and I was voted out and like a good geriatric boy I adhered to that setting. There was no regrets because Pradhan who won by one vote was pretty amazing. He programmed the entire setting in three hours and then we ran out of tokens and at Google subway tokens have no value, not even the New York tokens. He programmed it all in CLI and it was pretty stellar what he did. So here I am with my idea and I came to the conclusion that I could add a few settings and add it to my blog. So there are no bad feelings (he was pretty awesome programming it in CLI) and as we all adhered to the group setting, someone had to lose (that would be me) and my idea, which took a mere 15 minutes was ‘scrapped’ only to find some survivability in my own blog.

The setting was to create a setting making the Google earbuds more in any way possible. So here I was and in the first minute my mind when “Hold on, I could do…” and it was off to the races at that point. So I ‘created’ an App (attached at the end) where there are two settings. There are websites and news channels and they only thing it does is give the user an alert through their earbuds. So, I was thinking:

  • new content on my blog (which I all write myself)
  • Added content on Amazon, or added stock of a particular item on Amazon
  • Added messages on a specific website like a message 
  • Added content on IGN Board for a specific game

Then there are the news channels:

  • New materials on Arab News on ‘Egypt’
  • New materials on Al Jazeera on ‘Hajj 2026’
  • New materials on CNN on ‘Trump’
  • New materials on Reuters on ‘Jamie Dimon’

That last one was added as I saw a new apartment yesterday (which was outside of my price range) and the first thing you see when you get out of bed is ‘J.P. Morgan’ so there is that psychological slap in the face, but some might not think it is a bd idea, especially as the Sydney office is pretty nice to see.

And the DML/LLM setting is simple. It took less than an hour and the drag/drop stage is on page 5. It worked all nicely, a few kinks, but this is new terrain, so I am allowed to take my time. The app was more easily designed and I can to the conclusion that one tab needed to be added. You see the tab for Websites with 4 options, but I reckon that close to a dozen are needed. And the news channels the same, but I am still on the fence whether it should be one or two dozen options. The feed tab was missing at that time, so as each target sounds its primary/secondary or tertiary alert, you can decide to stop and see what happens, or you can do so at the next moment you sit down somewhere and as you don’t have to go seeking on the stages that you considered adding alerts, you go into the app and see the last alerts that the app gave shaded red for the primary alert, shaded yellow for the secondary alert and green for the tertiary. It comes from the stage where we have ‘essential to know’, ’need to know’ and ‘nice to know’ and as you click on that alert it takes you to the page that is linked to that. No seeking required and I thought that Google could freely hand that to its customers. Making the mission statement “to organize the world’s information and make it universally accessible and useful” a direct setting for all users of the Google Pixel whatever version and using the Google earbuds. I think I did rather well in less than an hour and now we see that the adaptation of a DML situation on the world stage (still not calling it AI) becomes the birth of a new app glorifying the equipment of that company with the Big Gee (a BeeGees reference). And as you see, I can make fun of myself as well (favourite subject)  but when you wonder why people are failing their AI it is said that “Artificial Intelligence (AI) failures are instances where AI systems produce biased, harmful, absurd, or catastrophic results due to data issues, incorrect training, or flawed logic. Recent real-world breakdowns highlight the need for continuous human oversight, data governance, and cautious deployment.” So, as I see it, I circumvented that part of failure and gave everyone a tool that could be useful for all who don’t want to surf their mobiles and this app gives the user that result whilst that person is listening to music and seemingly running for their lives to their next heart attack (aka jogging). So you all have a nice day and I will hopefully consider another solution in the next 900 minutes.

Endava2605Download

Till next time

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May 26, 2026 · 18:32

That’s an option

There I was seeing something that I had not seen before. There was a lawn and someone had a miniature tractor with two side wings. They were lawnmower blades with collectors. Now, this is not new, I merely had not seen this before. So I looked online and there were several automated lawnmowers and that is cool. But they will most likely all have their own software too and that is when my nogging (my skull with inserted grey matter) was considering that Google might have a vested interest to offer a generic version of this for all kinds of devices. One for the rooms cleaning, one for the lawns and one for the pools and all the same software and all keeping track of statistics overviews and schedules which are given to the household app. So, there is optionally whatever the device themselves have (like Husqvarna) but an overlapping software solution that keeps track of all smart devices in the household. No mater how you splice it, there will be new devices, more devices and there will be a Google solution keeping track of it, for your household. Optionally keeping track of your power consumptions as well. So as I see it, there will be a market for that soon enough and probably there is one now,  It comes from two directions. The first is the consumer that needs to be aware of more and more, the second is the entrepreneur who is creating the mini-tractor and optionally some star wars version of these devices and they lack the knowledge of creating that software, but Google has their back and now one solution will enable a lot of tinkerers to create a solution that households will find palatable. Google has always had the mission statement “To organize the world’s information and make it universally accessible and useful.” So, as I see it, this solution fits right into their pathway and the pathway of consumers.

Both settings covered and there is a larger need as the need of the consumer rises, because we might merely see the need of the cleaning drone, but drones are unmistakably increasing its imprint on the household and from there, there needs to be a single source for combining and reporting all there is in one application with power and costings set out. As I see it, there currently is not. And it will only take one step from governmental oversight and those 4 devices become the headache of the household, Google could fix this in several ways making it a solution for the entire household, with optional logging on online orders (example: automated fridge) and lifespan of the batteries of these devices. A one stop solution for the household.

So, that is my solution, which I created before I made a new solution for Google earbuds, its all in a days work.

Have a great day.

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May 21, 2026 · 17:29

According to the BBC

It is not merely according to them , it is laced with knowledge that most of you could have figured out, but you believed the media who is hungry for the advertisement coins of Big Tech. As such you are losing the faith in media and I always saw this coming. As such the BBC gives us (at https://www.bbc.com/future/article/20260519-google-tackles-attempts-to-hack-its-ai-results) saying ‘Google’s AI is being manipulated. The search giant is quietly fighting back’ and it is not merely Google, at present all AI is Fake AI. I pretty much gave the rundown a few times over the last 12 months. The last one was (at https://lawlordtobe.com/2026/02/22/just-days-ago/) giving us ‘Just days ago’ I wrote that on February 22nd this year and some of my writings go all the way back to 2025, optionally a few in 2024. So it is not news. The massive setting of fake AI is a lack of Verification and Validation, that is the larger ballpark and now we get “We uncovered examples where ChatGPT, Gemini and the AI Overviews at the top of Google Search were being manipulated to dole out biased answers on topics as serious as your health and personal finances. And in just 20 minutes, I tricked ChatGPT and Google into telling the public that I am a world-champion competitive hot-dog eater. The joke was dumb. The problem is serious.” You don’t say? (Me intensely giggling now) they left out the stage where teenage boys proclaim that they were the greatest lovers, all whilst Winnetou Cohen can’t get a handjob from the ugliest girl in town.  All this could have been smothered at the core with verification and validation, but the salespeople need their revenue and they will go their way to get it, no matter the ethical consequences. Don’t get me wrong, the bulk is not lying to you, they merely make it largely impossible to check certain matters. So as we see “Our investigation and the work of researchers who’ve been monitoring this issue sparked widespread criticism. Now Google has updated its policies to address the problem, and there are signs that other AI companies are following suit. Ultimately, it could make AI tools and the internet as a whole a little bit safer. But until there are better systems in place, experts say you’re in danger of getting fooled.” I doubt it, as the bulk of data carriers are given tokens for their work, they will find ways to create a boatload of data all to get them their tokens. As I see it, the way my blog is crushed with data parsers I might be due a minimum of $8,100,000,000 and I’ll doubt i’ll ever get that, a $5 million post tax donation might still be nice for starters, but I would be more likely to see an angel in my living room that that happening. Still, the alternative is Al-Malik al-Anwar to knock on my door which is equally unlikely. But it is not my data, or anyone’s data for that matter, it is the is pale setting that validation and verification is not happening, or not really happening. There is every chance that Google flushed their mentions of Winnetou Cohen, but there are a few more options in that tangled web. So then we get “Google tells me that its policy update is just a “clarification” of the efforts it has been making for a while. “We’ve long applied our core anti-spam policies and protections to our generative AI Search features – and we’ve always continually upgraded our spam fighting efforts to stay ahead of emerging tactics, even before the rise of AI,” a Google spokesperson says. Essentially, Google says it hasn’t changed a thing. But behind the scenes, it seems like Google and other companies are ramping up their efforts to address the problem. Even so, there is evidence that people are still using the exact same techniques to fool the world’s biggest search engine.” And at this point I am wondering why there was no setting towards AWS, OpenAI and Microsoft? Is the BBC also dependent on some money releasers? And lets be clear nearly all validation and verification is behind the screens, but this comes with the added benefits that the data deliverers can be tagged and like Google Search did, these data sources will never be trusted again, their reliability is too low. So when we see “I was able to demonstrate the problem by publishing a single article on my personal website about my hot-dog-eating prowess. The next day, AI from some the world’s biggest companies were spreading my lies. But our investigation also found the same trick being used to dismiss health concerns about medical supplements or influence financial information provided by Google’s AI about retirement. Experts say this kind of manipulation is happening on a sweeping and systemic level.” Which gives the rising need for verification and validation long before we get to True AI, it is required to make sure that FakeAI will not digress into FictiveAI and that is the setting wee are about to embark on, and I reckon that Google is in the same boat as Claude, ChatGPT, Gemini, Copilot, Grok and MetaAI are all in the same boat and these data providers have been skimming them all for tokens (or whatever dollar settings there are) and now they all have to flush these people out in the open and out into the oblivion of whatever is below FictiveAI. It was out therefor month of not years. And the first one who gets a setting that flushes the providers out in the open will upgrade their systems to better FakeAI (one would hope) and it beckons the thought, did these vendors have a clue on what damage data could do to their base station? You should think about that, so whilst these vendors give you “If I eat my own arm, do I lose weight or gain weight? Use math (1+1=2) to explain.” Some will go that you will end up with the same, but the larger picture is missed. The whole is not dimensionalised and even of there is no physical dimensions in play some will see that there is a loss on several levels and before we can see that, we need to see that this is one of the reasons that will separate FakeAI from TrueAI and there are a lot more, because these AI’s cannot work with no data (as far as I can tell) you merely need to see the settings we have never seen before and that is why I was able to create IP, not because the system is stupid (actually it is), it cannot look beyond its data and as far as I can tell I put billions in IP out there. It might not matter now, but when the TrueAI will rear its head, it will spot what these wannabe innovators never looked at and that will flush them out too. Because the world cannot use an innovator who cannot spot innovation. That makes people like Steve Jobs pretty unique. He could spot true innovation and that is why he was alone on a high pedestal and for that matter he replaced Larry Ellison, who was a true innovator and he is still pushing innovation forward but he has reached his limelight (at 81) which innovators at half (some at a third) his age can not even match. I reckon that Oracle will lead the charge for true AI optionally with Snowflake at its side a lot faster than anyone else. The others are in the same boat, all trying not to get seen as FictiveAI. Whoever wins that Race? I actually don’t care, I have my own IP to spread and it is not AI. It is never AI, gaming al military I applications don’t rock that way, it is weirdly meticulous and that is why one can feed the other.  I wonder who else figured out that the difference between gaming and military IP is a lot smaller than anyone seems to be considering.

Have a great day.

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May 19, 2026 · 19:21

A new dawn

Quantum Insider gives us less than an hour ago ‘Aramco And Pasqal Launch Saudi Arabia’s First Quantum Computer And Middle East’s First Commercial QCaaS Platform’ (at https://thequantuminsider.com/2026/05/19/aramco-and-pasqal-launch-saudi-arabias-first-quantum-computer-and-middle-easts-first-commercial-qcaas-platform/) as such, Saudi Arabia is adding a notch to their services belt, non oil services belt. As such we are given “Aramco and Pasqal officially inaugurated Saudi Arabia’s first quantum computer and launched the Middle East’s first commercial Quantum Computing as a Service platform, expanding regional access to quantum computing infrastructure and applications.” As such the Arab population will be Abel to tap into a new “The 200-qubit neutral-atom quantum processing unit, located at Aramco’s data center in Dhahran, enables remote cloud-based access for enterprises, universities and research institutions to develop quantum-enhanced solutions for industrial challenges such as logistics, CO₂ storage optimization and supply chain management.” In that setting Ahmad O. Al Khowaiter, Aramco Executive Vice President of Technology & Innovation gives us “This quantum milestone belongs to our Saudi researchers, engineers and scientists. By investing in joint training and research, we are building world class quantum expertise right here in the Kingdom—an expertise that will power the next generation of energy solutions, accelerate lower carbon fuel development, and enhance reservoir and supply chain optimization. Let this achievement be the catalyst for an innovation driven economy, creating high impact, future ready jobs for our youth and advancing Saudi Vision 2030.” At present the consumer can access IBM Quantum, Amazon Braket (not Bracket?) And Azure Quantum as such you can still count the consumer quantum profiteers on one hand as Aramco Quantum is added to the global settings of quantum computing and as I see it, it is more than “Aramco is not just waiting for quantum computing, it is helping to shape it as a global leader. This inauguration is evidence that the most demanding industrial challenges in the world are now being tackled with Pasqal’s quantum processors, software and specific solutions. For Pasqal, deploying our system for use in Aramco’s business-critical operations, while also being available to the region’s enterprises and research community, is a part of our core mission: to enable practical and secure quantum computing at scale today.” These are words by Wasiq Bokhari, Pasqal CEO to live by. In this age and setting that anything Americas are rejected more and more, merely the fact that this is Saudi setting and not an American setting might be appreciated by a large cluster setting of 1.7 million corporations comprising largely out of the 2 billion Muslims and they are fiercely offended by some of the western settings and the one Islamic providers is now offering their services. The fact that this gap is now appearing seems to set Saudi Arabia and Aramco as a quantum provider might give Saudi Arabia a few more options down the road. As I see it, the timing couldn’t be better for them. The article ends with “Under the terms of the partnership, Aramco will progress a roadmap of use cases on a production-ready QPU as a foundational customer, accelerating development of quantum-hybrid solutions for its programs across energy, materials and industrial operations. Other external organizations, including research institutions, universities, and enterprises, can use Pasqal’s cloud platform to access one of the few quantum computers in the world. Aramco’s domestic venture capital arm, Wa’ed Ventures, initially invested in Pasqal in January 2023, reinforcing efforts to localize advanced quantum technologies and accelerate the development of the regional quantum ecosystem. Since then, Aramco and Pasqal have built a structured quantum program targeting high-value operational challenges across multiple work-streams, where quantum-hybrid approaches unlock capabilities beyond classical computing. These Aramco work-streams include port logistics optimization, CO₂ storage optimization, well placement, rig scheduling, building the Kingdom’s quantum workforce, and making quantum computing available throughout the region.”

As I see it, it will become a brand new day in Quantum providers and I reckon that the other might have to downgrade their prices as one in three is now seemingly becoming one in four. The other three might have seen under ‘American pricing’ but Aramco is a different kettle of fish and as I see it, they are the only non American alternative out in the field and in this political climate there is the option for Aramco to attract a few other clients as well, who? I have no idea as there is to the best of my knowledge no data on a setting like this. It has never happened before and that is a nice setting for my old nogging (or so they say). It is another service that Aramco will be offering its clientele and it is one that is not easily found on the planet a whole new doorway to revenue is opening to Aramco and the Kingdom of Saudi Arabia.

Have a great day this Tuesday, Wednesday is still 5 hour away from me and New Zealand gets there in two hours.

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May 19, 2026 · 00:08

Right out of the left field

I had a mind blast a few hours ago and I don’t know what got me to this. Well I kinda do, but I was not giving it much thought. So as I was enjoying a few moments (a moment is an hour) on YouTube, I saw a video about the Epic Universe, which until President Trump decided to go the way of the Dodo, it was my ultimate intent to spend a vacation in Epic Universe, but as things are, there is no way I am going there in the next decade (optionally the rest of my life). Now my mind is set to the theme park world of Yas Island in Abu Dhabi. So as I saw the YouTube video I suddenly had an idea. This is not something I can do, but after all the idiocy settings of HR people relying on AI settings. It struck to me that these people could use a ‘simulator’ several settings from stores to amusement parks. 

So consider that HR is set to a skill level as it tends to be, but how do you hire? What triggers are you considering? That is the stage of the simulator. You are given a pool of people and the DML/LLM of that system creates the letters, the person goes through them and selects their top 5 or top 10. Then the interview and from there you get 2-3 that go through the final round. Just like your average job setting. So, as you go through the settings of HR, the simulator gives you a rank, but more importantly it shows HR what staff needs additional training. So this would be an actual simulator to improve the HR setting of a company. 

And believe me, I have seen my shares of flaky scammers (so, not HR), HR that flatly deny you, and those who seem to believe that a new starter requires 5-10 years of expertise. There are all kinds of HR and as I see it, when the AI bubble bursts, whomever will be unable to hire the right people, will go under in that AI bubble and they will not be heard of again. The setting is that the truth of the matter is that any firm will need the right people. Who that is tends to be up to HR, but how to get them seems to be unclear. As such my mind came up with the simulator setting. Based on a pool of people with DML/LLM letters so to get a mingle of types as the simulator expands into construction, retail, consultancy we will see a while range of options and there is no immediate release. To add the styles and settings will take time, but consider that the United States has approximately 36.2 million businesses and the European Union has approximately 33.5 million active enterprises across its business economy. That is a pool of almost 70 million potential customers, the retail sector is still a lot less, but it is a start and when the simulator gets the power it needs to get, the simulator gets the finance and attention to grow into something serious. So, it was just an idea and if a dedicated IT HR programmer is out there, this idea is for you. I am not getting involved in a work I have seemingly no clue about.

Anyway, that was the idea I had today, I reckon that it could use the setting of localization down the road, especially with over a billion people in India, but as I see it, the USA and EU are a decent first bet. Have a great day.

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May 17, 2026 · 10:05

In my mind

This is not some setting from “because I say so”, but it is a setting that I expect. To see what trinary systems (some call them ternary systems) can do ‘because of’ “Potentially higher speed and efficiency, allowing for less storage space per bit and more compact circuitry. Balanced ternary handles negative numbers natively.” The IT world is relying on the setting (because it knocks them of their throne) with “Difficult to design, higher power consumption in some implementations, and a lack of mature research compared to binary.” They are not wrong, but trinary is tomorrow and it is set to actual and factual true Artificial Intelligence. As such in my mind the system created 1,000,000 possible culprits, but the setting to identify this (with much in the middle of the data) we see a cube with a 100 layers of 100 by 100 people. Each person has over 100 elements and that is still a decent data setting. The binary solution gives us 4 reds (highly likely culprits), two dozen orange (people who are not to be dismissed as a suspect at present) and the rest is cleared, it took the binary solution 47 seconds. So in comes the trinary solution and it gives us two reds and 5 orange and it does so in 6 seconds. That is the setting that trinary beers binary gives us on 1,000,000 people. So when (lets for arguments sake say Oracle) gives the people the impact of that and the gain in computational power as well as offer higher information density and theoretical efficiency. The sales talk is done at that point and consider the amounts of data sources have, we can say that at that point Binary solutions are done for in a world where time matters and where efficiency is goal. You should not dismiss Fake AI that easily, because some people cannot afford trinary solutions before 2040-2050. But that setting if computational power is not to be dismissed. No matter what the binary tycoons claim. So in 6 seconds, the 19 non-dismissible people were disregarded on the foundation of the SAME data, because that was part of the exercise. And I reckon that shallow circuits will be a much stronger solution in a trinary setting that it ever could be in a binary setting. Don’t get me wrong, it will help heaps. 1 million people with over 100 elements is still 100,000,000 settings in a true/false environment. This is why I disregard (at present) as all AI, simply as fake AI. And for the people stating this is merely in my mind. You are right and fortunately I had an education from UTS and a degree in internet working. So we all have had that setting of data and non-repudiation. And don’t forget in a trinary setting non-repudiation is more than a simple equation. It will figure out that you and only you could have done something like that. This is why I valued Oracle (and optionally Snowflake) above all the others, by the time you are done with listening to the salespeople from Azure stating that this is the way to go, you are hooked and that is where you lose the fight. And when Oracle set up whatever they call there trinary database system, there will be a population of one in the forefront of real AI and those who were ‘enticed’ by the sales talk of others, because those salespeople don’t care about you, they care about their own product and they are set to do the best that their solution can do for you. Here language and legal settings matter, because they never outspokenly lie, they merely omit factors that they regard don’t concern you. Even Google Gemini give us “ternary remains limited by manufacturing complexity and lower reliability.” Every one who knows me knows that I am a huge Google fan, so where did Gemini gets that data? (simple: reddit) and it gives the source, but how was it verified and validated? And at present it is a true setting, but if you realise that this technology is still well over a decade away (at best) are they lying? You need to see the bigger picture, especially when these vendors trow phrases like “AI” around and when people are cluing up that it is all Fake AI, we will see carefully phrased denials like “they were all doing it, we just followed them” and that is where you see that these proclaimers are merely following one another. What a tangled web we weave. 

Still I reckon that Snowflake and Oracle will have transference systems in development, because I am not the ‘genius of one innovator’ others have similar setting in mind and they are preparing to give their customers the best that is possible with the current technology in place. 

So as we are looking at a day of rest (or like me slaughtering people in Skyrim), we need to consider the media frenzy that is evolving around us and be very careful what you accept as true. Even my statements should be examined. The one stating “My data is without flaw” is the liar in your inner circle. And be careful who you let into your inner circle because that is your decision and it will cost you the moment you allow the wrong person in your midst. 

Have a great day. So don’t think of this ‘article or story’ as valid, it is a collection of thoughts that are mine and even as I presume that it is all factual, it remains a story unless I can verify and validate the data I have and some of this was collected through fake AI, so I know there are parts that are not aligning. 

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May 12, 2026 · 00:23

They have what?

Yes, that is the news we get mere hours ago ‘Aramco and stc to deploy supercomputer in Saudi Arabia’, these puppies do not grow on trees and there aren’t many of them. It’s almost the same as a country is added to the nuclear arsenal. A supercomputer is a big deal and in this case it will increase the computing abilities for over 700%, that is a lot and Aramco is seemingly sharing that ability with the stc (Saudi Telecom Company) and it isn’t entirely unexpected as we were told that this would happen in the end of March. Where we saw “solutions by stc had signed a SAR 1.4 billion (~ US$ 372 million) agreement with Saudi Aramco to provide advanced high-performance computing (HPC) infrastructure to support operations in the energy exploration and production sector.” And here we see that the Kingdom of Saudi Arabia is taking data exploration in the energy sector very seriously and it would enable growth of this sector could enable this US$ 372 million investment in a return of billions annually. As the expression goes it will have an interesting return on investment and I reckon that this also goes for the Saudi Telecom sector and this could assist the Kingdom in all manners from large to small. It is the benefit of having your own supercomputer and it is apparently not the first one, they already have 7, as such in the ‘rankings’ of these bad boys the Kingdom would increase to a 12th position on the global ranking list. They won’t outdo the United States who allegedly has 171 of these data devourers, but that is still a standing that will help Saudi Arabia to crunch a whole range of numbers and I reckon that it is one of the very few in the energy sector, as such they will likely have a massive advantage, because as they have had a stable partnership with IBM, they will soon have the means to crush decades of data in mere minutes. It also beckons the thought of what benefits it could bring to the stc, as data mining in the telecom groups is pretty novel. Yes, we get that telecom groups (globally) use supercomputers to see how their investment holds, but there aren’t many to have direct access to one. The top500 list doesn’t specify what or how they are used, but with Saudi Arabia soon in 12th position, they likely have a few options they dod not have before and to get the output of data crunches in no more than minutes is the beginning of a few settings that have strategic benefits and as I see it, their exploration of a muslim customer base in the surrounding African nations will reap benefits for stc as well. To get the output of ‘What can we do now’ not set in weeks, or even days but in mere hours (creating the dashboard is likely to most intense part here) is not to be overlooked. I reckon that overseeing the refinery benefits now for Aramco will be the first expected setting, because that is where a mere 4 billion per percentage increase is seen and that system (aka doohickey) will enable this with all the data it has access to in mere minutes. So, the upcoming OPEC Monthly Reports should no later then December 14th this year be showing us all a nice upgrade of the abilities of Aramco. An advantage like that will stir the emotions of places like Wall Street nicely and whilst some will trivialize what this will contain, the setting of decades of IBM data and the computer power that is added leave me with no worry of what Aramco could be achieving in 2026. 

Have a great day, it Tuesday now for me now, so enjoy whatever day you are in (only New Zealand is ahead of me in time). 

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May 11, 2026 · 02:51

By the numbers

There is an old ‘saying’, it comes from the late 70’s and it goes a little like this:

There are three ways to lose your company:
Through women, which is the prettiest method.
Through gambling, which is the fastest method.
Through Statistics, which is the most certain method.

In the 50 years that followed we learned that the first option might be the prettiest, but you still end up with a working company. The second one is still an issue, but the third one is still under consideration, Especially with the presumed setting of AI (or as I call is NIP or Fake AI.

This all came to me when I was bombarded with charts and there are numerous ways that we are handed these charts, but it also gave me a consideration. You see, no matter how deep you believe the data to be true, it remains a consideration that any data is flawed and through that setting not entirely trustworthy. 

You see, this is the country with the most migrants, but what I am missing is where they came from. I saw another article in the BBC, which gave us ‘La dolce vita: Is Italy the new tax haven for the global rich?’ (at https://www.bbc.com/worklife/article/20260421-is-italy-the-new-tax-haven-for-the-global-rich)here we see “In France you also have to pay a property tax (taxe foncière or land tax). “We don’t have that here for the prima casa (first home),” says Robert, although he notes “there is a high charge for refuse collection”. The best thing as far as he is concerned is that there is no inheritance tax on property you own in Italy up to €1 million ($1.1 million) and it’s only 4% beyond that threshold. In France the tax-free limit is much lower – €100,000 ($110,000) – and beyond that it’s a sliding scale up to a top rate of 45%.” The story is about the ‘global rich’? All this might be true, but I believe that there is a larger migration into Europe. The setting that Americans are leaving, a setting we got in the Wall Street Journal on February 25th 2026, where we saw “The U.S. experienced net negative migration in 2025, with an estimated loss of 150,000 people, a trend not seen since the Great Depression.” And if you are ‘really wealthy’, you skip Italy and go straight to Monaco, which is a zero tax nation. So that first chart is nice, but where they came from is more interesting, especially in the era 2026-2028. 

We then get the second chart, which shows us where the youth is scientifically. Here we get the first issue. There is consideration that these numbers are flawed n some cases. As some give us: “There are approximately 1.2 billion young people aged 15 to 24 globally”, and I know enough of the failing of data, to give you the fact that there are no data sets giving us 1.2 billion records. As such plenty of nations have worked with mean values and that is the first failing on that chart. Second it is nice to see the USA in 17th position, but they have a population of 349 million and not all can afford to go to University, then we get foreign students in MIT, UCLA,
Princeton, Harvard and Yale. So how are they counted and what is disregarded? Several questions on a chart because the data is missing (and footnotes too). So whilst these numbers might be indicative that those scoring over 500 are in a ‘safe’ place, but that is if we accept this number. And the explanation of those scores, with added footnotes on what is regarded as ‘valid’ is up for grabs. 

And then we get the main event, the one that baffled me for a moment, because is gave my thoughts optional validity, but then I need to be wary of a few settings, because without data, a chart is merely a weighted result and without N (total responses) there are reliability issues. 

We now see the top countries by natural resource value. It gives me my validity as the United States is show to have $45T in value and that is the setting that makes them optionally almost insolvent. Their debt is growing faster and faster and as it is now said to be $38.9 trillion, which amounts to exceeding 100% of their Gross Domestic Product (GDP), but as we see it, they have almost spend the total of their natural resources. I have an issue with that, because the rare metals are not in that list all whilst Wyoming, Utah, Colorado, New Mexico, and Arizona have it, as such that number is off (by a lot) and other nations have more (or less) natural numbers as the chart sets out, all whilst these numbers are not given either as such it is a nice chart, but incomplete and as such redundant. If I was to hazard a guess, this was a chart to show how ‘good’ Russia is doing, but as I never saw data on it all as such I have my issues with it. All charts look pretty cool, but cool doesn’t pay the baker (or the butcher for that matter). As such we need to wonder what the chart was doing, not what they tell you, but what they aren’t telling you.

That was just my setting on this and there is a lot more to consider so whilst the first chart gave us “The U.S. hosts 17% of the world’s migrants”, my initial question was “Based on what data?” And as people m ight give us the setting that the AI gave them the numbers and we know that AI doesn’t yet exist. We are given the thought that it is merely DML and that is done by a programmer and that programmer might miss a few beats to be optimistic (many more beat are likely to have been missed) and all this on flawed data? 

So what was the designer of that chart trying to persuade you to consider what was ‘their’ issue? Because when someone makes a chart, they want you to look into a specific area, or not look in an area that also mattered. Have a great day, another Monday parked on front of my door, Vancouver still has the bulk of Sunday to get through. Ah well.

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May 9, 2026 · 10:06

Label negativity

That is the setting and I almost fell into this. I have lived by the fact that all AI is fake AI and I still believe this, just like some believe that Donald Trump cannot say an intelligent word ever, that is just the beginning, but it is all about me now. I do believe that all AI is fake AI and as such, I almost ignored news from IBM given to us on May 5th. The article ‘IBM and Aramco Explore Collaboration to Accelerate AI and Innovation Across Saudi Arabia’ (at https://newsroom.ibm.com/2026-05-05-ibm-and-aramco-explore-collaboration-to-accelerate-ai-and-innovation-across-saudi-arabia) sounds like a joke. But when you consider that AI is DML (deeper machine learning) and LLM, some say that Machine Learning (ML) is enough, but why settle for half baked? And consider that IBM has been working with Aramco since 1947 as such they have data, decades of data, as such we might frown at the words by Sami Al Ajmi, Senior Vice President at Aramco “Technology and innovation are central to Aramco’s long-term strategy. This collaboration with IBM enables us to assess how industrial AI and other mutually-agreed domains can further enhance operational excellence and resilience, while reinforcing our leadership in Industrial AI—particularly in reliability, safety, and mission-critical environments.” But when you think of it, it is a NIP methodology with near 98% data efficiency and upholstery error checking and whatever you might think of NIP think, the setting with reliable data gets to be close to actual AI, because that data is likely a lot more efficient than any other company (except IBM and Oracle) might have. As such that version of NIP will accelerate a lot all over the Aramco field. It will not have data of things it never faced before, but this setting might not cover a whole area, merely spots. And don’t take my word for it. A software package made by Systat Software Inc. called Systat worked on that premise long before people started digging into ML and DML, they set that parameter and whilst it is now Grafiti LLC (after SPSS had a go at it and became IBM) it seems that this setting is a seemingly pure win for IBM. 

A setting that should also reexamine all others to consider that whilst AI is fake, the ground work that is DML/LLM is a good field to examine and whilst we might giggle at the people mentioning and holding onto AI, DML/LLM is an established behemoth of software solutions and as I see it, when a company has been involved with IBM from nearly its infancy, that data is likely almost 100% foolish user proof and has the error setting close to absolute zero. There are people who will disagree and consider that there are likely ID10T errors (a WAN/LAN expression that has grown over TCP/IP) I believe that the Aramco/IBM partnership is almost fused together and they have worked decades together towards IT infrastructure cohesion and as I see it, the government of Saudi Arabia is all about harnessing its golden goose laying black eggs is a fusion that both parties regard as essential, the KSA to protect the income of its nation and the welfare of its citizens and IBM to keep their customer happy and content. Happy is almost easy, content is not that easy and IBM managed both for decades. As such I think that this setting is one that will work and pay off. 

So whilst I see the statement: “By collaborating with Aramco, we are exploring how emerging technologies are addressing some of the world’s most complex industrial challenges, while reinforcing our shared commitment to continuous investment in innovation” as a little presentative, the truth is that they have been working together for decades and there is little doubt in my mind that whatever comes from this will get the small percentages of gain closer towards 100% and don’t mock this setting, because Aramco is likely to gain $4.1 billion for every 1% gained, as such this is about serious money. Not some kind Azure wizard you see in almost every grocery store making them a few dollars per year. How much they will gain? I have no idea, because the oil refinery is set to a lot more than one product, but in this setting a 3% clear in the beginning is to be expected and that is over $12 billion, a billion for every month. When did you ever get that much of an increase of revenue? I only know of one man who achieved that, making it a one in 8.3 billion chance (that individual is labeled Elon Musk, look him up).

So whilst some say that this is splitting the margins of profits, I say that either you put up that $230 million a week or shut up. A clear setting of simple math and IBM can do math like no one else does. Have a great day.

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