Tag Archives: DML

June 4, 2026 · 10:33

Kettle calling chopstick black

That is the setting and it is given to us by the BBC (at https://www.bbc.com/news/articles/cq6peqrnzpro) where we see ‘MI5 warns Chinese spies using job websites to target government staff’, as I see it, it is time to go into Monty Python mode with ‘Howls of deriving laughter’. You see NSA, MI5, MI6, DGES and I suspect the BND have been doing the very same thing for over 30 years. They sugarcoated it through certain captains of industry to ‘offer’ interesting jobs and then after additional vetting, they gave these people a second income and until 2010 that was a safe trip, but as I see it President Trump put his oversized clown shoes in that setting messing things up. In addition the Western economy took a nose dive. So the previous settings do not hold water and the NSA is confronted with ICE, MAGA and Karen’, so their job is a little harder still. The article gives us “In a joint warning issued in a bulletin by the Five Eyes alliance, made up of UK, US, Australia, Canada and New Zealand agencies, it warned undercover operatives are using legitimate sites including LinkedIn, Indeed and Upwork to advertise fake analyst jobs. Applicants are then pressurised into revealing “non-public” information which can be used by the Chinese military intelligence service.” And there are two elements missing from all that. The first is that there is little need for pressurization, the second one is that places like LinkedIn seems to have cornered the stage where industrials have been for some time Ghosting job applicants, or putting fake jobs out there. So, in comes Huawei or Tencent offering optional jobs? These applicants are suddenly roaring with intent to do well. So I don’t think ‘pressure’ is needed. 

Then we get a few other settings. As I (optionally delusional) see it, Sergey the Oogly Googly Googler Brin with his two hundred and fifty thousand millions owes me $3M (post taxation) and yes, it is delusional, because as I see it, Google uses my written words to train its Fake AI called Gemini. And I am super pro Google, but as I see it all AI is fake. True AI doesn’t exist yet (not for at least a decade) and I gave several articles pointing that out. Someone said that (about two months ago) that per article this amounts to $1.5 million and over 5000 transgressions on my articles sets the ‘expected’ (and optionally delusional) stage that I am due at least $3,000,000 post taxation. I’m not claiming that I have any right to his fortune, merely to what might optionally be mine. Make of it what you will. And there is more. Australia housing is rubbing people the wrong way (not intentionally) there is housing crises and people cannot afford anything. Some are identified as refusing an allocated twice, whilst the second event was that they were in heart surgery. How is that fair? Then we get the stage where in Australia we hear about experience underpayment or are denied mandatory leave. So in this setting and I reckon the same setting is seen in the United Kingdom people are willing to listen to job offers from Tencent and Huawei (China), Aramco (Saudi Arabia) and ADNOC (UAE) and these people are seriously looking for talent and the latter part is mostly Australia and the United States, but after all the bad news people are seeing, China now has a real option to put pressure on the workforces in the west and there is need for these skills. So whilst we see that jobs are los to AI (which is utter bogus) the reality is that bosses keep friends and their friends employed because the budgets are dwindling and they need people to sit in that same place so that they are safe and that is how an entire workforce is valued out of a job and these people are often the true innovators. Not their bosses or the friends that they have. They are in it for themselves and it is seen all over the workforce in a near global setting. So there are more people willing to listen to the people who are actually talking to them. 

That is the reality of theater and it affects the work sphere of places like MI5. But GCHQ was on this workhorse for over 30 years, so turnabout is almost fair game (MI5 will not see it that way). This situation isn’t merely UK, it is the United States and the entire Commonwealth to a larger extent. I have no idea how it affects India, because they have the most skewed workforce on the planet, but I reckon they are in a similar spot, especially the learned DML workforce. But didn’t they see this coming? Especially the United States. 

So whilst the workforce in nations is seeing raw deals and unfair treatments, these workers are willing to listen to anyone giving them a fair shake. So whilst the BBC emphasizes on “UK will not tolerate Chinese spying, minister says after MI5 alert” we get that this is a truth, but the UK has been doing this for decades and now that the UK (others too) are vulnerable the danger is a lot more real than it was pre 2010. So whilst we see “Workers who could be targeted range from security clearance holders to academics and think tank employees, it warned.” The danger is a lot more real as the captains of industry have been sidelining their aging workforce as being too expensive and that is where the knowledge is and when these people are gone to other shores the brain-drain sets in in a most unexpected way. And these sidelines people are no longer to be the willing assistant of some young upstart who had the inside track because he had the diploma that sounded awesome. A diploma without experience is merely someone holding a printed piece of paper, not the knowhow that a company needs to make the revenue real. 

So that is my bit on the matter and would I, considering what Huawei, Aramco or ADNOC could offer me? Most definitely. When you realize that being valued is good for the soul, the soul will seek sunny shores. It always does. We have learned the hard way that companies no longer rewards loyalty, not for over a decade, so the older workforce is looking towards places that allows them to be valued for a little while longer. So whilst we see that the tea kettle is calling the chopsticks black, realise that the kettle started it all in the early 90s.

Have a great day today, optionally valued too.

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June 3, 2026 · 16:02

The brain jostles

That happens, in my mind there is an eternal struggle for dominance (not in a bad way) but the back of the mind saw something and it is trying to work it out, whilst me, myself and I are also in need of that grey matter. The back of the mind saw a DARPA challenge of ‘Triage Challenge (DTC)’ with the subtext “Transforming how medical responders triage in mass casualty incidents by advancing scalable, timely, and accurate tools.” But the brain (mr Grey) saw that the bottlenecks is not a setting of operation, it is one of adherence. It doesn’t make sense. But consider that a nation has 15 million people and they all trusted Microsoft (there’s a thought) , but as they trusted AI (for whatever reason) and now we have 15 million unresponsive people. So, Mr Grey decided that the setting is not that you need to get to people, you need a solution that can be deployed at any place in that nation and from there the settings come calling. So Mr. Grey decided to employ a call centre and treat every person like it is part of a call centre. Confused? I thought you were, I was too. But consider that you have two stacks one with medical personnel and one not. The call centre setting makes every doctor important and that is the call. So whilst you have a doze doctors making calls and only a higher doctor can overrule a lower doctor, but then you get a new call centre where the pool comes from Nurses-Doctors-specialists and you refrain from bottlenecks you get a new kind of triage. So stop getting a dozen beds because you only have a dozen doctors, you get 60 beds because all the medical staff can determine casualties and disregard initial low calls, these low calls are not dismissed, but the pressure to get the important casualties are not restricted to these 12 beds. What does happen is that this call centre approach needs to work differently and that takes a logistical side, A new medical call centre approach so whilst we are given that there is a new consideration. So out of hand, consider that a hospital has a dozen forms, but instead of dispersing these forms, each doctor has all the forms, they are collecting an storing information and they print out a QCode, which has all the information and is attached to the person (like a Pandora chain on the wrist) and when there is more than one QCode charm, higher people look at this what might be required. And as this is all read on the spot, all whilst the tablets read and collect everything now, the equation changes. This allows for mass collection and triage abilities to move forward. It requires a great deal of discipline, but those in triage tend to have an abundance of those, but as I see it, triage tends to rot; l with the punch and the overlay of suddenly thousands of people needing access to triage makes for a weird situation, as such my brain works out in seconds that this requires a different approach, so whilst some need more nurses, we get the setting that 50 nurses record what needs to be and every doctor has its own nurse making judgement calls on people part of this was seen in Pearl Harbor (the movie) and they worked with what they had, but now we have and can deploy QCodes in seconds, so the track of the bottle neck changes and as these QCodes are deployed, people can be moved to a better site for treatment rather quickly. From there we get. New setting that power is less of an urgency and if these tablets have replaceable batteries, the downtime becomes very low and these batteries can be charged in a hospital and one box could contain 50 batteries, resetting the bulk of all tablets in seconds and DML allows for a much faster deployment of forms and most technology is already there to scan these forms and make them digital. No we merely need to traverse this setting to a QCode answer and the triage setting is near complete. You might have to add forms as one setting (like Pearl harbour) is not the same as another (Esso Chemical Rotterdam), they all have there own settings, but burn forms, respiratory forms and blood form have a near global setting, Doctors tend to have the same global talk and their writings all lead to a free ticket to a museum (small joke). So that was what Mr. Grey figured out in less then a minute. 

I was still in play mode and whilst I am not surprised that Sony tends to overwhelm any person who enjoys gaming, I still was blown away with what Sony produced in its state of play. You see I like racing of a kind and perhaps I was a little attached to the settings that Sony gave us with Grand Turismo (1-4) and Need for Speed underground (GameCube) or Project Gotham Racing (Xbox360), but today Sony blow the cover out of all of them with Stuntman Hollywood. A racing challenge with a difference. It looks good, but will it play awesome? Time will tell, but I didn’t see that one coming, so I got my wow factor. And as icing on the cake there was God of War Laufey, new character, new gameplay and new graphics. Everything a growing player needs for his or her diet. Still as I got the joules from my grey cells, mr Grey decided to consider a few more options in the situation he obviously is seeing as resolved. The QCodes go on a chain and the chain is also a data carrier and goes around the neck of the patient. The qcodes are added to that chain, but as I see it, the chain copies all the qcodes that are added and that chain might also collect physical setting, like an elongated smart ring. And it can all connect to the tablet of the doctor who is then getting additional knowledge and give the chain a code that gives it a colour. All setting a new conditional setting to triage and when triage is given in a remote location it merely enhances the information the doctor has access to. Where the qcode was added, where the person has been and from there we get a new kind of triage, because triage comes from the 1700s by Baron Dominique-Jean Larrey, the chief surgeon for Napoleon’s army. He started to sort the wounded, but we now have sort abilities that do not need a doctor, a nurse might do and even then there are some parts that need no medical staff, it merely needs to be recorded (hence the smart chain) and as the QCodes are added, the picture becomes more and more complete. Some need to get more tests, but if you consider that the goal is to reduce the severity of the wounded, we could walk a different path, a new path, not disregarding what we have, but what we can do. And battlefield triage is a lot dependent on what there is. So if we can find the category 1 people and reduce these to level 2, we are already winning. So consider we have:

Level 1: Resuscitation (Immediate)
Level 2: Emergency (<10 minutes)
Level 3: Urgent (<30 minutes)
Level 4: Semi-Urgent (<60 minutes)
Level 5: Non-Urgent (<120 minutes)

And from there we get to save them all (just like a Pokemon game), so the smart chain and the QCodes could enable that path, all whilst the doctors look at treating the level 2’s whilst looking for the level 1’s, a setting that comes through new logistics and automation (I refuse to call it AI), because DML will help here, will it be enough? That is for a doctor to decide. 

My ego is happy that I met another challenge by DARPA and one that is good for the medical sector, my ego is doing just fine. I wonder what my brain will mostly for tomorrow, time to get some steps in. Have a great day all.

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June 1, 2026 · 13:46

The new short is coming

Saw there articles today, which gives me the willies. The people are that dumb to believe this? But to give you the goods, lets strata the beginning. The first one was CNBC giving us (at https://www.cnbc.com/2026/05/28/anthropic-open-ai-startup-value.html) where we see ‘Anthropic tops OpenAI as most valuable AI startup, nears $1 trillion valuation in latest round’ it is here that we are given “The newest round was led by Altimeter Capital, Dragoneer, Greenoaks and Sequoia Capital, and almost triples Anthropic’s valuation from February, when it was worth $380 billion. The financing also includes $15 billion of previously committed investments, including $5 billion from Amazon, the company said. Anthropic’s biggest competitor OpenAI was valued at $852 billion in late March after closing a record-breaking $122 billion funding round.” But these people need to give us the why, so we are given ““Claude is increasingly indispensable to our growing global community of customers, and we work tirelessly to make tools like Claude Code and Cowork more helpful, more powerful, and more adaptable to their needs,” Anthropic Chief Financial Officer Krishna Rao said in Thursday’s press release. “This funding will help us serve the historic demand we are experiencing, stay at the research frontier, and bring Claude to more of the places where work happens.” Anthropic’s latest round comes as the leading AI model makers prepare to go public.” So, after this introduction into this blatant presentation, it is time for TechTalk to give us (at https://www.techtimes.com/articles/317467/20260531/samsung-hbm4e-ships-first-record-756-profit-surge-triggers-analyst-upgrades-ai-memory-lead.htm) where we are headed off with ‘Samsung HBM4E Ships First: Record 756% Profit Surge Triggers Analyst Upgrades on AI Memory Lead’, so all this fake AI has been going around for some time and I reckon that there is a misrepresentation with the 756% profit surge. So if my feelings are right, we need to look at the story and it is here that we are given “Samsung Electronics began shipping the world’s first 12-layer high-bandwidth memory 4 Extended (HBM4E) samples to major global customers on Friday, May 29, 2026 — putting the South Korean chipmaker at least six months ahead of rivals SK Hynix and Micron in the race to supply next-generation AI accelerators, and triggering a wave of analyst upgrades that pushed Samsung’s market capitalization past 2,000 trillion won for the first time in history. The milestone arrived just three months after Samsung began mass-producing its predecessor chip, HBM4, and came on the same day Samsung shares surged 5.84% to close at 317,000 won.” And here my gut feeling is satisfied. So can anyone give me how a 756% profit surge validates a mere 5.84%? Something does not add up. It doesn’t matter that Samsung is bigger than this, a 756% profit surge should validate more than an almost 6% surge. Some people are playing with your senses. 

So before I get to the third article. A little lesson. It is not the lesson you like and it isn’t even the lesson you will appreciate, but here goes. All AI is fake. There I not exception to this no matter what dance mr Oldman gives on stage, his ChatGPT was surpassed by Gemini and Anthropic some time ago and there is no guarantee that this will go his way. Google Gemini (and I love Google) is just as bit as fake as the others. Then we get all the others, all fake. Why? The stage is that all these are driven by DML/LLM and they are strong and good engine, they just aren’t AI. AI requires a few more components, some are ready but still in their early stages (like Quantum computing) then there is the need for Shallow circuits and I only know that IBM has come far in this field and they are working on this 10 years ago, are they ready? I guess not, because the media would be full of that if it were, but the are advancing and then there is the Epsilon chip. We have seen the theory, we have seen the evidence (some have seen this), but it does not yet exist in a chip, not yet and I have no idea when that will happen. So then we get the Trinary operating system, that is the last part. I particle think that IBM and Oracle are quietly working on this, but that is a gut feeling, all these parts combined are still 15 years away (my speculative feel). Oh, and in none of this Microsoft turns up, because it might take longer then. So this is what I know through the settings of decades of IT work and a decade of writing. But it matters, because now we get MSN with Larry Fink giving us (at https://www.msn.com/en-us/money/savingandinvesting/larry-fink-says-pensions-will-help-fund-10t-ai-buildout/ss-AA24sE6Z?ocid=finance-verthp-feeds) that ‘Larry Fink says pensions will help fund $10T AI buildout’, so whilst all your retirements are set into this bubble, this fictive bubble, better be rare that this last story was “Curated by AI” a mere 20 hours ago. I reckon that no one at MSN wants to put his or her name under this setting. We are given “Fink estimates $10 trillion will be needed for AI infrastructure by 2036, with $7 trillion for data centers alone.” And in addition we are given “Index fund-heavy retirement accounts are increasingly concentrated in AI-focused tech giants leading the spending.” And it comes with the warning that “Experts warn that overexposure to one sector could threaten retirement security if AI growth stalls.” In short, we are being set up. As I see it, over exposure would lead to the end of our pensions when the bubble of fake AI comes calling and even this late, at 64 when you see your pensions being squandered by hot headed job chasers claiming AI is this, or is that and we do not see a clear ROI, you know somethings up. This feels like the movie the Big Short, a 2015 American biographical comedy drama film directed by Adam McKay from a screenplay by McKay and Charles Randolph. Based on the 2010 book by Michael Lewis, it depicts how the 2008 financial crisis was triggered by the United States housing bubble. This is how it went everyone comes with the setting ‘you have to be in it to win’ and they are all gambling like it is some Texas holder game whilst they all have a version of a beer hand (7-2 offsuit) and they want to continue their rounds of gambling, hoping that the other players will fold, but they are all in it to over their necks, so they are all desperate. This is how I see it and when you get the numbers, especially on proven ROI, you will see that filling this 10 trillion gap with pensions is folly. I intend to call my pension that AI investments are off limits. I would rather put it in ADNOC or IHC. Three stories that make my blood grow thick in fear, they are now pushing the safety boundaries for millions of people and I am worried that no one is speaking up, it is that kind of a day and still there are no options for me, so I am beyond caring. 

Try to have a great day and try to keep your pension safe.

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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 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 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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May 5, 2026 · 15:16

The path we make

The path we make is often set, for one, you cannot walk the path of (fake) AI without considering the side-roads called Data Verification and Data Validation. They are intertwined. And whenever I get to Data Validation, NASA tends to be own my mind. They have been on the Data Validation path as early as the 70’s, long before whomever runs IBM/Microsoft/Google now, they were already looking at ways to support their validation tracks. So when I see the combination of NASA and DATA I tend to look up and take notice. So when we get ‘NASA POWER’s PRUVE Tool Streamlines Data Validation’ (at https://www.earthdata.nasa.gov/news/blog/nasa-powers-pruve-tool-streamlines-data-validation) where we see “NASA’s archive of Earth observation and modeling datasets has an incredibly diverse range of uses, and assessing data uncertainty is a critical step toward ensuring the data and analyses are accurate, reliable, and trustworthy. Several factors, such as instrument calibration, atmospheric corrections, and land-surface albedo, can affect the quality of satellite data. For users working with solar and meteorological datasets, quantifying uncertainty is especially critical, as these data often inform decisions and policymaking at the community level.” And this introduction leads towards the two quotes “NASA’s Prediction of Worldwide Energy Resources (POWER) project, which provides datasets from NASA in support of energy, buildings, and agroclimatology decisions, developed a tool that enables users to assess data uncertainty for selected surface variables from POWER’s data catalog with corresponding surface measurements.” And “The cloud-based tool — the PaRameter Uncertainty ViEwer (PRUVE) — makes assessing data uncertainty more straightforward for users across disciplines and skill levels. PRUVE uses surface observed site meteorological data from the National Oceanic and Atmospheric Administration (NOAA) and surface radiation data from Baseline Surface Radiation Network (BSRN) to compare against POWER-provided surface meteorological and radiation data values. This user-friendly application gives users an opportunity to quickly confirm data validation through customizable queries.”

So when we see “By creating the free, easy-to-use PRUVE tool, the POWER team instills an additional layer of trust, empowering users to tackle some of the most important long-term weather challenges facing our planet.” I feel doubt and I do know that this is in me, not because of what is promised, but consider the settings in the example we see “a student wanting to install a small wind turbine for a study project at their college. They are limited by size and cost, so they need to make sure the predictions and analyses are reliable. As part of the study, they can use wind and other historical data parameters available through POWER to forecast how much energy will be produced from the wind turbine system. The student wants to limit the level of uncertainty in their prediction calculations as much as possible.” All whilst we also see:

  • No-coding access.
  • More than 3,000 surface sites.
  • Dynamic data visualization available for each site.
  • Ability to create maps and plots and to conduct spatial analysis on the fly.
  • User-selectable point-based descriptive statistics.
  • User-selectable site-based intercomparisons.
  • Advanced custom plotting for specific uses.

So where is the doubt? You see for the most there is no doubt in the powers that ‘reside’ within NASA, but when you see these facts, why this system is not ‘coexisting’ in the Google, IBM or Microsoft clouds? This system should (read: optionally could) be adjustable to these fake AI systems to smooth over validation and reduce error in whatever data there is. And I do know that it is not that simple, but consider the settings that are lacking now, the transference of these options might also fill the coffers of NASA and there is no way they don’t need that. And as my skeptical self realizes nearly all the data systems on the planet require additional layers of trust, but that might merely be me. 

So as I see it, nearly all data systems are set towards some setting that there is some side solution towards data validity, all whilst there is a direct need to make checking the validity of data a main priority. So what happens when this solution gets additional layers of data validation, in part in statistics to see if the validation sets statistical boundaries whether the data set in some normal way, but that limits the setting is an outlier is found, so how can that be validated? Then there are multiple factors where a value should behave in certain ways, but it would not be easy. I reckon that NASA could pull it off and it would be a tool that everyone needs. I merely wonder why no-one has considered it before. Now, I do understand that it is a tall order and I might be incorrect (read: full of it) but consider how meteorological numbers are achieved, consider that there will be error, but a setting that reduces error in validation. A system that reiterates the data given and considers whether validation passes of fails. A system like that could be made, but the issue are the outliers, so what makes an outlier valid, because if one outlier is wrongfully ‘deleted’ the data set could become invalid. So is this possible? I think that only NASA with its expertise could make such a system a reality, making data validation more readily available. Because no matter what verification process follows and whilst we await the coming of real AI, validation will still be a setting that is required in whatever data system comes to the surface of true AI. And perhaps the system will become a verification setting, both are required and neither system seems to be ‘correctly’ developed at present. It is a horrible conundrum, but it requires contemplating as such a system is needed by the time Real AI comes to all our doorsteps. 

The additional issues I see is that in this case the PRUVE tool has all these connecting data segments, but what happens when it is a little more complex? We have all our minds set to ‘connected’ data, but it isn’t that simple at times. Consider the ludicrous setting of length and shoe size. Now we can understand the setting of a 4’8” person with 17” shoes (he wishes), but is it out of the realm of possibilities? There is a girl named Shae, who claims she knows one person with that description (Game of Thrones joke). So how would you be able to validate this? Perhaps other data is required to make the clear distinction valid and how could such a system make validation reliable? As I see it, the biggest problem into validating data is being able to recognise the outliers. I see the deletion of outliers as a problem, the data loses reliability and verification become next to impossible. Its like watching a dataset limited without data from the Interquartile Range (or 3-Sigma Rule) and as I see it, whatever data you remain with makes actions like fraud detection close to impossible (unless that transgressor is extraordinary stupid). You see there is the ‘old’ premise that “Outliers can bias statistical estimates, causing inaccurate results in predictive models or misrepresentations in descriptive statistics.” I am not saying it is incorrect, but the absence of outliers could make the validity of that data a lot more dubious and finding this is a real challenge, so as far as I see it, That is a job for NASA (the keyword Superman was already taken by DC comics). 

So see this as a little trip on the brainstorming front, I definitely need a hobby and I am all out of licorice.

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May 4, 2026 · 21:58

I call it fake for a reason

I was battling what to write about and there was Elon Musk giving me a perfectly good reason right of the bat. Well, it wasn’t Elon who gave me the idea, it was his product Grok. I have always said that AI is not real because of the missing parts, and it comes with a few constraints by certain (so called) captains of industry who are lacking in several ways. It is also connected to some other things I do. You see, no matter how you come, how much you innovate the idea, you will end up with a mere 0.1%-1% of the true value of the product. Todays ‘captains’ are utterly set into the exploitation of everything they see. As such I put it on my blog. When my stuff is in the open they cannot really claim any innovation. You see the IP is no longer protected by intellectual property laws, and the public is free to use, share, and build upon these works without seeking permission from the original creator. I might get something out of it but for the most I get the satisfaction that these ‘captains’ see the loss of an idea towards everyone. If I am unable to get something out of it, it will become Public Domain and perhaps it will spread my fame in that way. Some will smile at this and call me stupid (or a fool) but I am out of their reach for exploitation. As I see it, I gave the world over a dozen options for enrichment and in this way the Indie developers get a leg up without fear that a larger player will cut them out. Small comfort. But that is what is.

So, whilst I diverted, it was for a reason. You see the AI of now is fake AI (at best), all of them are because the two elements missing are evolved versions of Shallow circuits, as stated (for as far as I know) IBM has the strongest version of this, but still another system is required, a trinary operating system. Binary will not do for AI, the setting of Null, False, True and both is required for a true AI to come and no-one has that yet. A dutch physician got the Epsilon particle made (or found), this was going to be instrumental and to evolve this in an IT setting (most likely through yet undetermined means), but I digress, what I believe to be a weakness, doesn’t make it true. Alternative evidence is needed and I found it a few times over, but in this case I will revert to my last story ‘As oil burns’ which I published on May 4th, 2026 at 12:33. About an hour later I used Grok to look at my story. The first view after an hour was:

Lawrence van Rijn’s post links to his new blog article “As Oil Burns” on lawlordtobe.com, discussing surging oil prices triggered by Iran’s closure of the Strait of Hormuz amid escalating US-Iran and regional tensions. The author, a postgraduate IT student and Master of IP Law candidate at UTS, regularly analyzes geopolitical issues like oil production shifts, UAE’s OPEC exit, Iranian attacks, and US military deployments in his personal blog. As of May 4, 2026, the X post shows very low visibility with only 4 views and zero interactions, typical of his niche personal commentary on current events.

This is what AI does? Is that really a view on what I wrote on: https://lawlordtobe.com/2026/05/04/as-oil-burns/

A story containing 986 words with more than 523 words (which is 54%) on Russia, the top line gives zero consideration on Russia, it gave me another thought, but Ill get to that later. The second view (on the same text) was after 6 hours and there we see:

Lawrence van Rijn’s X post shares a link to his own blog article titled “As oil burns,” published May 4, 2026, focusing on Ukrainian strikes against Russian oil tankers and infrastructure during the ongoing Russia-Ukraine conflict. The article cites a BBC report on Zelensky’s claims of attacks damaging three shadow fleet tankers, a warship, and a patrol boat, estimating 300,000-500,000 barrels per day reduction in Russian oil transshipments and over $7 billion in total losses from such strikes. It highlights Russia’s high military losses including over 11,900 tanks and 1.3 million soldiers, diminishing oil revenues forcing production cuts, and predicts further geopolitical isolation with limited export options remaining.

So what AI requires 6 hours to give better show of the same text? So, is my view of ‘Fake AI’ still wrong? As you can see the first part also gives no mention of the BBC and a few other parts. I got to the thought that this DML/LLM engine is allegedly used to filter out certain parts, until it can no longer hide a few things. Don’t forget whatever is done in DML/LLM is programmed by engineers, and whatever they say it is, that is what it becomes. People forget that and it is why thy fall in the AI trap, even though some clearly see that it is a fake solution. Don’t get me wrong DML and LLM are amazing inventions, but the courts will see through this and someone will blame the programmers and their bosses, this is why I saw the court cases come to blows in 2026. I particularly liked AI Misuse in Australian Courts (2026) where we see “over 73 cases identified where GenAI produced false citations.” So what AI does produce false citations? That requires a programmer. In addition, related to that is Warner v. Gilbarco, Inc. (February 2026) where we see the quote “AI to assist in case preparation does not automatically waive attorney-client privilege, characterizing broad requests for AI-generated documentation as a “fishing expedition”” Does this imply the AI uses deception to give us a “fishing expedition” or did (a massive perhaps) a programmer set this situation? As the evidence is added up, we get to see a different setting, a setting that gives notice that we should aim our attention to the programmers and their bosses. So at some point the influencers will be called into court and it is already happening “legal battles surrounding AI influencers, digital replicas, and content generation have shifted toward establishing liability for harmful outputs and defining the limits of AI-generated content protection. Key developments in early 2026 include lawsuits over AI-generated sexual content and major court decisions regarding copyright of AI-driven work.” Where we see (at present):

  • Ashley St. Clair v. xAI (Deepfakes and Platform Liability)
  • Tennessee Teens v. xAI (Child Safety)
  • Thaler v. Perlmutter (Copyright of AI Art)

And as these cases are resolved, the influencer drive of AI will dissipate and we get these bosses to ‘present’ their view, but they will be careful as they are decently unwilling (as I see it) to become liable. So whilst I will look to find a party to allocate $5M (post taxation) to my coffers, I will try to remain vigilant and see what other things some of these ‘Captains of industry’ have been overlooking. Apparently some say I need a hobby, time will tell. Have a great day.

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