Tag Archives: Ypsilon

September 15, 2024 · 21:19

Delusional, Collected or Fantastic?

In this I have to warn upfront that fantastic is not a good side of collected, it is related to fantasy as in a story fantastic in nature, perhaps not as science based as Star Trek, but it started with a gut feeling. So what is in this feeling? It isn’t related to anything I am writing, not to the script I delivered to Dubai Media (no idea how bad they think it is), but two stories triggered something in me, I have no idea if it is foresight or just imagination running wild in any unforeseen direction.

The first story (at https://www.cbc.ca/news/canada/new-brunswick/certified-teacher-struggles-schools-1.7323688) tells us the story based out of New Brunswick giving us ‘Certified teacher struggling to land full-time job in spite of shortage’, this gives us “New Brunswick anglophone schools started the year at least 32 teachers short, according to union”. As such I see saw initially two directions. The one is that the union is banking on staff that they can not realistically hope for. The second is that the schools are out of funds, they do not have enough funds to complete even one year. I do not have any evidence to the stage of the second side of it all. But then I saw a third side. It brushed my senses. It comes from the Evangelical Focus (at https://evangelicalfocus.com/europe/27839/christian-schools-rise-in-germany) ‘Christian schools rise in Germany’ with the setting that has a different premise, in Germany of all places. You see, in this I see the republican sides (many nations). They tried the influencers, they tried fear mongering. But they are coming up short and now these same people are involved in visibility fights with Russia, or China and people are panicking. But the right sees a need to control the narrative and in this religion has been for a long time their favourite tool. So is one the evidence to the other? No, it is not. But there could be a clear path of evidence that the Muslim population needs. First the Catholic press to avoid putting 6% of their clergy in prison (see: Spotlight movie). As such another path is needed or the people. Is Islam the answer? I am certain that this path is seen as optional, hence we see the rise of christian schools. The third stage links indirectly to the first, it is now France (at https://www.france24.com/en/europe/20240914-why-french-teachers-walking-away-from-jobs-education-france) which gives us ‘Why so many French teachers are calling it quits’ with “French teachers are quitting in record numbers, overwhelmed by low pay, crowded classrooms and increasing demands. Despite successive reforms by previous governments, staffing shortages persist. And leaving the profession is often a difficult process. With the announcement of a new education minister just around the corner, will France’s public education crisis finally ease up?” And there is the rub, one already has a shorts (Canada), one resolved the shortage (Germany) and one is pushing the shortage (France). Germany and France settles the need of pressure from the EU, they are the strongest voices and a clergy approach to schools puts the mind at ease for a future generation or two. That depends if there is a real push in place. But we have a new influencer stage coming. And soon this will hit TipTok and YouTube in a larger scale, how large? I have no idea, so here is the phase whether I am merely delusional, I am seeing data connected in a personal stage that could be genius or foolish (anyone’s bet). But am I wrong? That is my first question. Then we see a new stage evolving, Iranian satellites being launched by the IRGC and there is already a fear that this is a prelude to an attack on Israel and at that point the influencers are getting hit with dozens of high paying contracts. The narrative will need to be fed. I think it will be a sudden protest by Iran stating that they will cooperate with any decision the west offers. It puts Iran back on the table and as Israel was destroyed, they will receive millions of prayers by Iraq, Oman, Qatar, Kuwait, Yemen and Jordan. Iran is back on the table. That will be my moment to decide to give all my support to Saudi Arabia, there is no narrative with Iran at the table. The west and east are willing to sacrifice Israel for a longer time at the table with goodies. In this the dangers of influencers are shown and no one is willing to do anything about it. No matter what they think, the FBI files on influencers will be ignored to too large an extent. The narrative for the west is everything. How do you think that the European Union Government Debt is 12.7 trillion dollars? Now add the US debt ($35 trillion) and Japan ($9.23 trillion) and they decide on the narrative? I think it is important to them that the narrative is controlled, that hatred (anti muslim) is fuelled in all kinds of ways, by the next ave of people, the next wave needs to be ‘protected’ and that is where the clergy comes in. They are always happy to help those who enable them. A nice circle that enables the people who waste money to a new weird degree and in this they are all banking on a nearly non-existent world of Quantum computers with 1 trillion up for grabs between now and 2035. I reckon within the next 6 months certain stake holders will tie this with amazing amount of money towards the AI, all whilst the two are nearly there, but not quite. Seemingly in the UK they have a £630,000,000 investment in something that not yet works (source unavailable). But the simplicity of this is that an actual AI requires a trinary system, currently systems will not work, or only in part. We are still in the binary stage. I made mention of this on August 8th 2022, two years ago in the story Altered Image. I did not record all the details, but the Ypsilon particle will enable trinary based systems when the proven theory allows the practical setting to emerge and at that point I saw IBM as the most likely one to pursue this. That and shallow circuits will be the cornerstone of a real AI field.

So as we see this. Am I merely delusional? Is this a factual presumption towards what could come (based on the facts I have been exposed to), or is this merely my creative side founding facts to fantasy, but my mind did not make the leap to a new storyline. I already have three stories evolving and merely published a first one. Four stories in less than a year, not bad.

Well, feel free to Judge me, but this is what is (at present), enjoy your day.

It was never rocket science

Yup, that is the gist of it. And it seems that people are starting to wake up. You see the biggest issue I have had with any mention of AI, is that it doesn’t (yet) exist. People can shout AI on every corner, but soon the realisation comes in that they were wrong all the time will hurt them, it will hurt them badly. And this is merely a sideline to the issue. The issue is Microsoft and lets get through some articles.

1. Microsoft says cyber-attack triggered latest outage
The first one is (at https://www.bbc.com/news/articles/c903e793w74o) where we see “It comes less than two weeks after a major global outage left around 8.5 million computers using Microsoft systems inaccessible, impacting healthcare and travel, after a flawed software update by cybersecurity firm CrowdStrike. While the initial trigger event was a Distributed Denial-of-Service (DDoS) attack… initial investigations suggest that an error in the implementation of our defences amplified the impact of the attack rather than mitigating it,” said an update on the website of the Microsoft Azure cloud computing platform.” The easiest way of explaining this is to compare Azure to a ball. A foot ball has (usually) 12 regular pentagons and 20 regular hexagons. They are stitched together. Now under normal conditions this is fine. However software is not any given shape, implying that a lot more stitches are required. Now consider that Microsoft 365 is used by over a million corporations. Now consider that a lot of them do not use the same configuration. This implies that we have thousand of differently stitched balls and the stitches is where it can go wrong. This is where we see the proverbial “the implementation of our defences amplified the impact of the attack rather than mitigating it” Microsoft has been so driven by using it all, that they merely advance the risk. And it doesn’t end here. CrowdStrike is another example. We see the news and the fake one person claiming responsibility for it. Yet the reality is that there is a lot more wrong than anyone is considering. These two events pretty much prove that Microsoft has policy and procedure flaws. It is easy to blame Microsoft, but the reality is that we see spin and the trust in Microsoft is pretty much gone. People say “Microsoft’s cloud revenue was 39.3% higher”, yes this is the case, and considering that Amazon was originally a ‘bookshop’, so they went against the larger techies like IBM and Microsoft and they got 31% of the global market share. Not bad for a bookshop. And the equation gets worse for Microsoft, these two events could cost them up to 10% market share. In which direction these 10% go is another matter. AWS is not alone here.

I was serious about not letting Microsoft near my IP. I had hoped that Amazon would take it (they have the Amazon Luna) but it seems that Andy Jesse is not hungry for an additional 5 billion annually (in the first stage).

And as Microsoft adds more and more to their arsenal these problems will become more frequent and inflicts damage on more of their customers. Do I have evidence? No, but it wasn’t hard and my example might give you the consideration to ponder where you could/should go next.

2. Microsoft Earnings: Stock Tanks As AI Business Growth Worse Than Expected
In the second story we see (at https://www.forbes.com/sites/dereksaul/2024/07/30/microsoft-earnings-stock-tanks-as-ai-business-growth-worse-than-expected/) that Forbes is giving us “shares of Microsoft cratered about 7% following the earnings announcement, already nursing a more than 8% decline over the last three weeks” with the added “Microsoft’s crucial AI businesses was worse than expected, as its 29% growth in its Azure cloud computing unit fell short of projections of 31%, and sales in its AI-heavy intelligent cloud division was $28.5 billion, below estimates of $28.7 billion” As stated by me (as well as plenty of others) there is no AI. You see AI would give the program thinking skills, they do not have any. They kind of speculate and they have lots of scenario to give you the conditional feeling that they are talking “in your street” but that is not the case. For this simple illustration we get Wired (at https://www.wired.com/story/microsoft-ai-copilot-chatbot-election-conspiracy/) giving us ‘Microsoft’s AI Chatbot Replies to Election Questions With Conspiracies, Fake Scandals, and Lies’, so how does this work? You see the program (LLM) looks at what ‘we’ search for, yet in this the setting is smudged by conspiracy theorists, troll farms and influencers. The first two push the models out of synch. Wired gives us “Research shared exclusively with WIRED shows that Copilot, Microsoft’s AI chatbot, often responds to questions about elections with lies and conspiracy theories.” Now consider that this is pushed onto all the other systems. Then we are treated to “Microsoft’s AI chatbot is responding with out-of-date or incorrect information”, so not only is the data wrong, it is out of date, as I see it what they call ‘training data’ is as I see it incorrect, out of data and unverified. How AI is that? A actual real AI is set on a Quantum computer (IBM has that, although in its infancy) a more robust version of shallow circuits (not sure if we are there yet) and is driven not by binary systems but framed on an Ypsilon particle system, which was proven by a Dutch physicist around 2020 (I forgot the name). This particle has another option. We currently have NULL, Zero and One. The Ypsilon particle has NULL, Zero, One and BOTH. A setting that changes everything.

But the implementation into servers is to be expected around 2037 (a speculation by me) then we get to the thinking programs and an actual AI. So when we see AI, we need to see that is a program that can course through data and give you the most likely outcome. I will admit that for a lot of people it will fit, but not for all and there we get the problem. You see Microsoft will blame all sources and all kind of people, but in the end it will be up to the programmer to show their algorithm is correct and as I am telling you now that it comes down to unverified data. How does that come over to you?

When you consider that Wired also gave us “it listed numerous GOP candidates who have already pulled out of the race.” The issue of how out of date data is becomes clear. We see all these clever options that others give us, but when some LLM (labeled AI) is un-updated and unreliable, how secure remains your position when you base decision making streams on the wrong data? And that is merely a sales track.

The last teaspoon is given to us by The Guardian. The Guardian (at https://www.theguardian.com/technology/2024/mar/06/microsoft-ai-explicit-image-safety) gave us on March 7th 2024:

3. Microsoft ignored safety problems with AI image generator, engineer complains
So when you consider the previous parts (especially CrowdStrike) “Shane Jones said he warned management about the lack of safeguards several times, but it didn’t result in any action” Microsoft will state that this is another issue. But I spoke about wrong data, out of date data and unverified data. And now we see that the lack of safeguards and inaction would make things worse and a lot faster than you think. You see as long as there is no real AI, all data needs to be verified and that does not seem to be the case in too many setting. I spoke about policy issues and procedural issues. Well here we get the gist “it didn’t result in any action” and we keep on seeing issues with Microsoft. So how many times will you face this? And that is before people realise that their IP are on Azure servers. So how many procedural flaws will your research we driven into until it is all on a Russian or Chinese or North Korean enabled server (most likely by Russia or China, which is a speculation by me).

As such, it was never rocket science, look at any corporation and in their divisions there will always be one person who thinks of number one (himself) and in that setting how safe are you?

There is a reason that I do not want Microsoft near my IP. I can only hope that someone waked up and give me a nice retirement present ($30M post taxation would be nice).

Enjoy the day.

Altering Image

This happens, sometimes it is within ones self that change is pushed, in other cases it is outside information or interference. In my case it is outside information. Now, let’s be clear. This is based on personal feelings, apart from the article not a lot is set in papers. But it is also in part my experience with data and thee is a hidden flaw. There is a lot of media that I do not trust and I have always been clear about that. So you might have issues with this article.

It all started when I saw yesterday’s article called ‘‘Risks posed by AI are real’: EU moves to beat the algorithms that ruin lives’ (at https://www.theguardian.com/technology/2022/aug/07/ai-eu-moves-to-beat-the-algorithms-that-ruin-lives). There we see: “David Heinemeier Hansson, a high-profile tech entrepreneur, lashed out at Apple’s newly launched credit card, calling it “sexist” for offering his wife a credit limit 20 times lower than his own.” In this my first question becomes ‘Based on what data?’ You see Apple is (in part) greed driven, as such if she has a credit history and a good credit score, she would get the same credit. But the article gives us nothing of that, it goes quickly towards “artificial intelligence – now widely used to make lending decisions – was to blame. “It does not matter what the intent of individual Apple reps are, it matters what THE ALGORITHM they’ve placed their complete faith in does. And what it does is discriminate. This is fucked up.”” You see, the very first issue is that AI does not (yet) exist. We might see all the people scream AI, but there is no such thing as AI, not yet. There is machine learning, there is deeper machine learning and they are AWESOME! But the algorithm is not AI, it is a human equation, made by people, supported by predictive analytics (another program in place) and that too is made by people. Lets be clear, this predictive analytics c an be as good as it is, but it relies on data it has access to. To give a simple example. In that same example in a place like Saudi Arabia, Scandinavians would be discriminated against as well, no matter what gender. The reason? The Saudi system will not have the data on Scandinavians compared to Saudi’s requesting the same options. It all requires data and that too is under scrutiny, especially in the era 1998-2015, too much data was missing on gender, race, religion and a few other matters. You might state that this is unfair, but remember, it comes from programs made by people addressing the needs of bosses in Fintech. So a lot will not add up ad whilst everyone screams AI, these bosses laugh, because there is no AI. And the sentence “While Apple and its underwriters Goldman Sachs were ultimately cleared by US regulators of violating fair lending rules last year, it rekindled a wider debate around AI use across public and private industries” does not help. What legal setting was in play? What was submitted to the court? What decided on “violating fair lending rules last year”? No one has any clear answers and they are not addressed in this article either. So when we get to “Part of the problem is that most AI models can only learn from historical data they have been fed, meaning they will learn which kind of customer has previously been lent to and which customers have been marked as unreliable. “There is a danger that they will be biased in terms of what a ‘good’ borrower looks like,” Kocianski said. “Notably, gender and ethnicity are often found to play a part in the AI’s decision-making processes based on the data it has been taught on: factors that are in no way relevant to a person’s ability to repay a loan.”” We have two defining problems. In the first, there is no AI. In the second “AI models can only learn from historical data they have been fed” I believe that there is a much bigger problem. There is a stage of predictive analytics, and there is a setting of (deeper) machine learning and they both need data, that part if correct, no data, no predictions. But how did I get there?

That is seen in the image above. I did not make it, I found it and it shows a lot more clearly what is in play. In most Fintech cases it is all about the Sage (funny moment). Predictive inference, Explanatory inference, and decision making. A lot of it is covered in machine learning, but it goes deeper. The black elements as well as control and manipulation (blue) are connected. You see an actual AI can combine predictive analytics and extrapolation, and do that for each category (races, gender, religion) all elements that make the setting, but data is still a part of that trajectory and until shallow circuits are more perfect than they are now (due to the Ypsilon particle I believe). You see a Dutch physicist found the Ypsilon particle (if I word this correctly) it changes our binary system into something more. These particles can be nought, zero, one or both and that setting is not ready, it allows the interactions to a much better process that will lead to an actual AI, when the IBM quantum systems get these two parts in order they become true quantum behemoth and they are on track, but it is a decade away. It does not hurt to set a larger AI setting sooner rather than too late, but at present it is founded on a lot of faulty assumptions. And it might be me, but look around on all these people throwing AI around. What is actual AI? And perhaps it is also me, the image I showed you is optionally inaccurate and lacks certain parts, I accept that, but it drives me insane when we see more and more AI talk whilst it does not exist. I saw one decent example “For example, to master a relatively simple computer game, which could take an average person 15 minutes to learn, AI systems need up to 924 hours. As for adaptability, if just one rule is altered, the AI system has to learn the entire game from scratch” this time is not learning, it is basically staging EVERY MOVE in that game, like learning chess, we learn the rules, the so called AI will learn all 10(111) and 10(123) positions (including illegal moves) in Chess. A computer can remember them all, but if one move was incorrectly programmed (like the night), the program needs to relearn all the moves from start. When the Ypsilon particle and shallow circuits are added the equation changes a lot. But that time is not now, not for at least a decade (speculated time). So in all this the AI gets blamed for predictive analytics and machine learning and that is where the problem starts, the equation was never correct or fair and the human element in all this is ‘ignored’ because we see the label AI, but the programmer is part of the problem and that is a larger setting than we realise.

Merely my view on the setting.

Tag Archives: Ypsilon

Delusional, Collected or Fantastic?

It was never rocket science

Altering Image

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