Tag Archives: ML

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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April 28, 2026 · 19:53

Battle lines

As per yesterday several things occupy my brain, even a new technology (which I will discuss at a later stage) today is about OpenAI and Microsoft. I was ‘alerted’ to this yesterday through through Seeking alpha. I think I heard it before that, but I ignored it. Seeking Alpha (at https://seekingalpha.com/news/4579947-microsoft-falls-as-openai-partnership-evolves-says-it-will-no-longer-pay-revenue-share) gives us ‘Microsoft in focus as OpenAI partnership evolves, says it will no longer pay revenue share’ and we are given “Microsoft (MSFT) shares rose fractionally on Monday as the tech giant and OpenAI (OPENAI) said their partnership has continued to evolve, and OpenAI’s license will become non-exclusive. “Today, we are announcing an amended agreement to simplify our partnership and the way we work together, grounded in flexibility, certainty and a focus on delivering the benefits of AI broadly,” Microsoft wrote in a statement on its website. “The greater predictability in the amended agreement strengthens our joint ability to build and operate AI platforms at scale while providing both companies the flexibility to pursue new opportunities.”” In my mind I hear “Someone has figured out that this setting is based on shallow settings, the reality is dawning on them”, so whilst we are given “As part of the altered agreement, Microsoft will remain OpenAI’s primary cloud partner, and OpenAI products will ship on Azure first. However, there is now a tweak that says if Microsoft “cannot and chooses not to support the necessary capabilities,” OpenAI can go elsewhere. Julian Lin, Investing Group Leader for Best Of Breed Growth Stocks, said the deal is actually a “net positive” for Microsoft, despite the share price reaction.” I personally believe that OpenAI might present a hardcore liability for Microsoft and they are seeking to insulate from that fallout. And it might be merely my feelings in this and that is fine, but when you see the Anthropic setting, the DeepSeek setting there are several other elements that are roaring is near ugly heard and that has to go somewhere, something has got to break and it seems the ‘staged’ setting of evolutionary contract agree ments, might be part of all that. In retrospect I have no idea how OpenAI and Musk will battle their settings (and I partially do not care either). But the elements are there and whilst we are all about OpenAI, this concept selling setting rubs me the wrong way. So whilst we ‘might’ see ‘OpenAI Misses Key Revenue, User Targets in High-Stakes Sprint Toward IPO’, all whilst some say “do you guys even use ChatGPT/OpenAI anymore? I find myself preferring Claude/Gemini to be honest”, I take a different turn, I don’t use any of them. Basically because they are all fake AI. Real AI is about a decade away, if not 2 decades. I might die before real AI is released, so I kinda do not care.

ComputerWorld, only today (a mere few hours ago) gave us (at https://www.computerworld.com/article/4163971/microsoft-openai-change-contract-terms-again.html) ‘Microsoft, OpenAI change contract terms–again’ starts with “When the two firms announced a revised agreement on Monday, it reinforced the need for enterprise IT executives to work with as many major AI players as possible, given the constantly changing landscape.” I do not disagree, but remember that Microsoft went all out about 5 years ago and whilst we saw all kinds of ‘total wreck approaches’ the ‘partnership’ went on and now that we see “the need for enterprise IT executives to work with as many major AI players as possible”, we might accept that, but we see no DeepSeek, do we? So whilst we see that Microsoft increased its stake and solidified its position as a major investor less than 6 months ago, these plans are now changing. So does Microsoft see something, or do they fear something? And then ComputerWorld gives us “One key component within earlier versions of the Microsoft-OpenAI deal was the change in the relationship if OpenAI ever achieved artificial general intelligence (AGI), a term that eludes a concrete definition but generally refers to AI that equals or exceeds human capabilities.” I find it funny because of all these definitions across the fake AI field. Do they really not see that it is about to fall apart? (Story to follow likely tomorrow). And when this war of the fakers is seen (OpenAI, Google, Anthropic) there is every chance that OpenAI ends up in last position (see another ‘winner’ chosen by Microsoft), but this war setting is almost real, but until there is a real revenue stream coming in, there is unlikely to be a real winner. So whilst ComputerWorld focusses on the market changes with “Analysts and consultants generally agreed that this altered agreement will reinforce, and should extend, the current enterprise IT trend of hedging bets by striking arrangements with a variety of AI providers, including the major hyperscalers. Beyond future-proofing enterprises’ AI efforts, some of those agreements are for practical issues, such as the need to work with global AI firms specializing in different languages that the enterprise needs.” And you already know where this goes next. So, when was the last time you saw this kinda bla bla settings in the last 45 years? I tend to go back to the early 90’s where they all tried to sign businesses up to concept selling, all whilst there was no revenue stream detectable. We see it now here. I get that analysts are not the most revenue sturdy people, but consultants need their revenue streams. It is their bread and butter. And what was that “for practical issues” about? You see ComputerWorld writes a good story and revenue is mentioned four times, three is shown next “In addition, the company’s role as a major investor in OpenAI is driving a different revenue relationship, it said: “Microsoft will no longer pay a revenue share to OpenAI. Revenue share payments from OpenAI to Microsoft continue through 2030, independent of OpenAI’s technology progress, at the same percentage but subject to a total cap. ”” interesting how salespeople are not that fuzzed about revenue. It is their income and bonus setting. So what was this really about?

Wouldn’t we like to know this? Just a few settings for todays stride in the coming week. And now I need to contemplate what I next write about the bad news, or the new technology. My conundrum  for the last 4 hours of the day.

Have a great one today.

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April 16, 2026 · 05:47

Lying for revenue

That is the simplicity of this construct. It is not an error, it was not an oversight and it was not the non existing AI, there is the chance that someone fucked up on programming the ML that connects certain procedures, but the truth is that LinkedIn likely is lying to you.

To illustrate this I am giving you

Here we see 3 profiles looking at individual ‘xzddbv’ it doesn’t matter who this is, because it could be you. I know for a fact that there were at least 4 profiles, but that is outside of a few kinks that LinkedIn gave permission for. It comes with the territory I reckon, the elemental part is that the second sample gives us 

That person (the stated ‘xzddbv’) has zero profile views. Isn’t that odd? A system like LinkedIn that is now accepted as a near global setting for jobseekers, they have no money, they have no options because the job settings on a near global bases is based on lies. I showed in 2013 that some places were unreliable, giving us that there were 1600 open Unix positions in Sydney, whilst most of them were bogus. And it went downhill from there, it ended up being a breeding ground for spammers and scammers and whilst these ‘job sites’ made their money for ‘marketing’ purposes they never cared what happened to the people looking for a job. Wasn’t that the revelation of the century?

But now there is every chance that LinkedIn is becoming as unreliable as others and that is just not on. On the other hand I just learned that Microsoft owns LinkedIn, as such the surprise fades (rather fast). So to fire up their engines, can we see if there is a Chinese alternative we can live with? A version of for jobseekers that operates with critical views in the Commonwealth and/or Europe? 

There is only so much we can forgive, it is time for change. Have a great day.

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August 21, 2024 · 21:05

The 9mm hard drive

This is a new side to some, the people know one side to any person and at some point that person reveals another side. This is whaat we see (at https://www.ndtv.com/world-news/how-ukraine-war-has-turned-ex-google-ceo-eric-schmidt-into-licensed-arms-dealer-6372469) and the title ‘How Ukraine War Has Turned Ex Google CEO Into “Licensed Arms Dealer”’ now some will all up in arms (to turn a phrase), but the story is a lot more interesting. We are given “Mr Schmidt said that he is now a licensed arms dealer “because of the way the system works”” there is more to this. You see at some point I had the idea to sell the idea of the Chengdu J-20 to Saudi Arabia (for China), it was merely a thought and my ideas are not merely as noble as it might seem. My simple idea was that Saudi Arabia should be able to defend itself from the aggressors (Iran and Houthi forces in Yemen). When America and Europe wanted to halt the defending options for Saudi Arabia. I saw a simple economic option. The defense budget for Saudi Arabia goes into the dozens of billions (all 127 of them)  and me getting a mere 0.1% of that gets me 127 million dollars, simple clean and a nice setting to make really strong friends in the Middle East. This was before the idea I designed, optionally for Kingdom Holding. And lets face it 127 million makes for a nice retirement package. Eric Schmidt has other reasons (he was already rich enough). He and Sebastian Thrun, CEO of Udacity, are making a new venture namely White Stork. The setting we are given is “The idea basically is to do two things- use AI in complicated, powerful ways for these essentially robotic wars and the second one is to lower the cost of robots,” I see an adaptation to the learning (read: Deeper Machine Learning and LLM’s) that Palantir currently has. I think that a union of the two has far reaching possibilities. So what if the Palantir deployed systems are directly updated by drone systems? We are also given “Mr Schmidt reportedly informed that White Stork will mass-produce drones equipped with Artificial Intelligence to identify targets to eliminate the need for ground battles with tanks, artillery and mortar.” I think it goes further (read: presumed) You see, you can set the cost down but the military are more interested in keeping the timeline as short as possible.

Screenshot

You will have seen this, or something like this before. You have three components, the green ones are low in cost, the red ones high in cost. You want them all to be in the red, but the stage is set that you can only have two, the third one should always be in the other field. As people chase to get high quality and fast systems, that solution will always be an expensive item. Armies are not interested in (to some degree) cheap solutions. Not as long as these solutions are fast and high quality. Now White stork is going to seek fast systems and in robotics this will mean integration of information systems, like robotic intelligence systems that can connect to a secure cloud solution, updating the cloud instantaneously by all systems all at the same time. It become (for the lack of a better term) intelligence by wire. Nations will fork over billions to get it and to that degree no one has this. Not the US (DARPA apparently has some developing stage), not Russia and not China. They all have some kind of wannabe status, but they lack a high tech captain of industry like Eric Schmidt. If I can see this correctly within a few years they would all want him White Stork could be worth a whole lot more than anyone ever thought it could be and I think getting this connected to a system like Palantir is close to the only solution out there and the people at the centre of that axial know this. As I see it the biggest bottleneck in the short term will be an evolved non-repudiation system. We can cyber strike as much as we can but that first defence is a non-repudiation system to ward of attacks and that is where Palantir optionally has the system to make it work. Not for one or two systems, but like 200 drones in different campaigns  all at the same time. These systems need more than a simple deeper machine language, it needs LLM learnings and advance machine learning. With cyber systems that cab keep track of it all. This is not a simple solution but a person like Eric Schmidt could keep track of what was needed he might not be alone, but he is the only one in the stage of these arms of technology. 

His wealth might soon equal that of Bill Gates, the arms industry will pay heavily to get this far ahead. Consider that Saudi Arabia increased its military spending by 50 percent to $69 billion in 2023, approximately 23 percent of its total budget. That is to merely get on par with the America, Russia and China. How much do you think these three would pay to get ahead of the other two? The US is requesting $849.8 billion for next year. With White Stork they could easily double that amount. It is that much money that is in the view of some. 

Just my two cents on the matter. Have a great day.

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