Tag Archives: technology

Prolonging the idea

Two days ago I had an idea that could set a new technology marker towards Market Research. The idea is to use agentic set and seeded data for use of MR, but it was one that had a few kinks in that armor. There would be a tremendous amount of catering towards ethical borders and as I know the people in the world. They do not tend to align themselves towards ethicality (not when there are dollars involved). So my mind worked on the background on that problem and whilst I was traversing the Iceland Ring road (aka Route 1) around the 490 mile marker my mind figured something out. You see, why set this to ‘everyone’ whilst there is a setting that Amazon with their AWS and a population of 300-310 million active users could be the foundation of a research pool of panelists. So in short, they could ‘entice’ people to become part of an online panel. And for every questionnaire they complete, they get a token (aka Amazon dime), so ten dimes make for an Amazon dollar (aka 10% discount voucher) and so on. So it all depends on what the person wants to spend it on, the vouchers have a 6 month validity setting and the dimes have a year validity. So 10 questionnaires in a year and you have an optional setting with over 300 million active users. 

So, when an active user becomes a participant, a unique number is created in the Amazon system and attached to the person. It is hidden to all but the Amazon ‘insiders’ not even the client sees this number. So when a list of participants is created, this is all inside the Amazon system. So (as my humor goes) a list of American anti alcoholics who are not pregnant and have their own liquor license and that ‘search’ reveals the panelists available. They will get the OK signal and it is attached to their panel account. The Researcher will submit the questionnaire to the Amazon system (which is hosting options like Survey monkey and other solutions) and that questionnaire is set online. The researcher gets all the data with only the created Participant ID and that is the short of it.

So, the completion of the questionnaire is the participants signal with get that person the token, The data m moment gets the researcher all the data and the completion of that projects wipes the questionnaire into a bulk storage setting. The data delivery data is also maintained and that sets the entire process into a complete stage, I am in favor of keeping this all in other places (in Amazon) for historic purposes and that hands Amazon the keys to Market research, government research and that all should hand Amazon a nice additional revenue which it was never on its books (as far as I know). So in a day and age where people are search for some AI setting, I merely saw a tool to be created and handed to legacy data.

I reckon that this will give Amazon a few billions, and with over 300 millions people, many who will jump at the chance of sacrificing mere minutes to complete questionnaires for Amazon tokens, the options are nearly limitless, or so thinks me. And this is as I see it a global solution, all set to achieved data and the option to clean their data in the process.

Another hour, another dollar I say, but lets face it, it is Sunday, so it is this or contemplating the sins I have been involved in and I do not have that kind of time available, so designing new data solutions it is. Have a somewhat nice day today.

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The dams are cracking

Yes, that is the setting I saw coming, but there is always ‘space’ for interpretation and at present we see two stories that seem to illustrate this. The first one is given by the BBC (at https://www.bbc.com/news/articles/cly17834524o0 where we see ‘Tech billionaires seem to be doom prepping. Should we all be worried?’ It is a question to have, but what does the article ‘bare’ out? It is not that basic or simple. First we are given “Mark Zuckerberg is said to have started work on Koolau Ranch, his sprawling 1,400-acre compound on the Hawaiian island of Kauai, as far back as 2014.” So, he had 11 years? Seems like overly ‘doom prepping to me’ (is this sarcasm or satire?) The additional setting is “The underground space spanning some 5,000 square feet is, he explained, “just like a little shelter, it’s like a basement”” which seems like the average floor of a mall to me. I think that when the ‘basement’ extends well beyond 1000 Sqft, we can ignore the ‘basement’ label and whatever it is, it is his to do. He might be buying up vats of wine or Cognac, whatever it is. It will be his setting. Then we are given “his decision to buy 11 properties in the Crescent Park neighbourhood of Palo Alto in California, apparently adding a 7,000 square feet underground space beneath.” So here again we get the ‘speculating’ media for the setting of a story. So he might have bought the 11 properties, but what happened to them? What evidence is there? He could have bought this for his nearest and dearest. There are many options. Then we get more ‘famous’ names and locations like New Zealand come up. Yet about halfway we get a clarion call (as the expression goes), we are given “Neil Lawrence is a professor of machine learning at Cambridge University. To him, this whole debate in itself is nonsense. “The notion of Artificial General Intelligence is as absurd as the notion of an ‘Artificial General Vehicle’,” he argues. “The right vehicle is dependent on the context. I used an Airbus A350 to fly to Kenya, I use a car to get to the university each day, I walk to the cafeteria… There’s no vehicle that could ever do all of this.” For him, talk about AGI is a distraction.” And as far as I can tell, I feel like Neil Lawrence does with an addendum, and ad the very end we are given ““LLMs also do not have meta-cognition, which means they don’t quite know what they know. Humans seem to have an introspective capacity, sometimes referred to as consciousness, that allows them to know what they know.” It is a fundamental part of human intelligence – and one that is yet to be replicated in a lab.” And it is part of what I have been saying all along. And we get the larger setting from a second source. It is SBS (at https://www.sbs.com.au/news/article/australians-living-in-america-anxiety/p88o60wos) that give us ‘Saving money and packing ‘go bags’: How Australians in the US are preparing for the worst’ where we see “But she says the attitude towards foreign nationals under the current administration has made life in the US feel “scary”. Kate says these fears were brought to the surface during her green card interview. “They grilled me in the interview and asked me questions not even related to our marriage but about my previous visa and time in the US,” she says.” As well as “Many Australians living in the US are reporting experiencing high levels of anxiety and feelings of instability due to the possibility of rapid political change under US President Donald Trump.

These are the settings that matter. In the first there is the BBC article that is making the ‘doom lecture’ but that is not the setting. When AI collapses like a near empty shell, people will all be tuning for their incomes and playing the blame game, but as we are given ‘Wall Street crashes after Trump announces 100% tariffs on China; $1.5 trillion wiped out’ consider what happens when all these AI ‘vendors’ fall flat, the damage will be more than 10 times worse, America loses 15 trillion. Can you even fathom that kind of loss? That will be the sounding implosion that leads to civil war when 90% of 340 million people lose whatever they had, retirements wiped out, other savings gone, they will get angry. President Trump will have to run for his life to air-force one as quick as his legs can carry him. Evading to Russia or anyone that will have him and his billions? Mostly gone, if not already abroad. Those who bought large mansions outside of the US are likely safe for two generations in France, Monaco, UAE, Bermuda, New Zealand, you name it, some will evade and this is the setting we see. I reckon that people in California will need high walls to keep others out, optionally armed defenses as well. 

Foreigners are now seeing the scary reality they signed on for and they are getting ready a ‘go bag’ to evade to wherever they can as quickly they can. Is this doom speak?

That is a valid question. You see, the AI setting is merely one, President trump soured the waters on tourism which is down in many ways and no reflective view is given by anyone in media. That amount of bad news they find likely ‘irresponsible’ and the media has no business using that excuse as they have been one of the most irresponsible parties ever. Then foreign retail. Canada pulled all the alcoholic beverages from the shelves in Canada. How much is that costing? One source (Source: Global News) gives us that the decline is 85%, that amounts to how much? These three settings is almost a certainty of recession and there is a lot more declines in the papers but the media will not give you the proper numbers. Several sources all giving different partially overlapping numbers. As such the economic dams of America are cracking. And they will lose a massive amount of revenue and while some will give some of the numbers. Most of us aren’t given the full view. I have some of the views as I have been keeping an eye on some of the numbers. But even I do not have the full view. So whilst some give us “The sell-off erased more than USD 1.5 trillion in market value from US stocks. Meanwhile, the cryptocurrency market faced record liquidations of USD 19 billion. This is the largest single-day figure ever recorded.” The part no one talks about is where are the billionaires set at? We see the wins of Elon Musk and Larry Ellison, but where are the other billionaires? How are they doing? And that disjointed Microsoft view.

Why the Windows maker?
That is a fair question. You see, they were all ‘heralding’ how good they were doing, but the shimmer in the shadows is different. We are given “Microsoft is currently losing money on AI development, having spent an estimated $19 billion in one quarter on AI infrastructure, with no significant revenue from it yet. The company also experienced a reported loss of $300 million in Call of Duty sales due to the Game Pass subscription model” all whilst Activision and Bethesda was bought for over $100,000,000,000 and that has an interest setting. They might be ‘offloading’ staff (over 9,000 according to some numbers) and whilst they and Adecco (firing into the thousands) are all set to AI, there is a hidden snag. When this falls short they will face a setting that is a lot more dangerous. People will not consider them in the future. So when the non-existing AI is set to the need of engineers it goes flat and when there is no one around (an exaggeration) to program your LLM, consider where your firm will be. ZDNet gave us “Microsoft’s CEO loves to talk about ’empathy.’ But everything that is coming out of Redmond these days is perilously close to turning the company into the Borg.” Basically a non-existent setting of people that cannot live in a vacuum and that is an additional side I never saw coming. I was focussed on Microsoft turning into an empty shell and when the substance is gone, the shell collapses. That is what I saw in Microsoft Games and Microsoft Office. It started in 2012 when their service devisions were no longer up to scrap and when support goes, so does sales and when we consider the over 100 billion for two companies its, whilst they weren’t making enough to even afford the interest on that, the picture of failure starts to evolve into a nightmare setting and sacking 9,000 people will not safe it. They are telling us now that AI is the future, but at present it does not exist and what does exist requires engineers (remember Builder dot AI?) It is a fictive setting that is showing up all over America and the ‘import’ people are seeing the cracks evolve and they want out as fast as they can. Which is good news for Aramco and ADNOC as they now get the choice of the litter, but for America it is bad news. So there is no doom speak. It is the returning story of a country who think it is too big to go bankrupt. I heard that story before (SNS Bank for one) then a few more banks and they are all part of something else. And America? Parts of America could be added to Canada and Mexico would be relieved to get Texas (the latter part is speculation) and that is the dangerous reality that others are facing. The question is what does it take to throw this around and whilst Wall Street is in denial. Others, those who can afford it, will be making a new household out of American clutches (like the non-tax countries mentioned earlier) also Saudi Arabia becomes an option, but the is reserved for the chosen few (and American Muslims of course). 

So am I delusional or do I have a point? I reckon that one of the larger issues (still setting) is how America deals with Alex Jones. Because if he gets his ‘blockage’ Americans will go insane, they will not accept that this Conspiracy theorist is allowed his fortune after he went after dead children (saying they were actors, who were not dead according to sources). I wonder where that will go, because as I see it, it will be the tinder spark America will be set on fire. At that point all bets are off and I reckon that most ‘New-Americans’ will run to the nearest airport. This might merely be my speculation and optionally a wrong one. But that is how I see it.

Beyond that, the losses that America is having and when all the numbers come out, the second stage is reached and whomever thought they had a retirement, they will all try to collect on whatever possible. 

It is a hard setting and I hope I am wring, because this collapse will fall over Japan and Europe pretty much soon thereafter. Connected currencies will take a massive tumble.

Have a great day, if that is presently at all possible. 

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Under Conceptual Construction

I just got hit with an idea (as ideas go). You see, I am from the world of Business Intelligence and Market Research and and idea just hit me. The setting is that data tends to be ‘humanized’, but what if it wasn’t? That is the central setting because the European GDPR has laws in place and I just thought of a way ‘around’ it. So take a setting where any MR firm requires data, but they cannot get that data because of the GDPR ‘complications’, so what is the actual issue? That doesn’t matter because Amazon, Google, IBM, Oracle and Snowflake have a way around that (Well a few more, but they do not matter). So take the next image

We have three top line population and it could be set to anyone (in that area) and as we set that population they are created a nearly unique number and never repetitive and that population gets exported, the numbers are. The MR people on the right get that number they populate the questionnaire(s) and it is send pack to the people on the left. Then that group sends out the questionnaires, the data is collected and send back to the group on the right. I reckon that this would be a nice challenge for Amazon and Snowflake I reckon. This might become an entire business unit and with privacy laws as they are placed in Europe, there might be a larger interest to seek such services. No hidden settings and all at the customers need and the consumers willingness to comply. I reckon that this might work, because as I see it, these Market Research people will see a dwindling of panel populations rather quickly in the next few years and then? Well, it would be up to them to think of a new setting, in the meantime I came up with this idea. And feel free to shoot it down straight off the bat and that is fine. As I said, it was just an idea grabbing me and as I was contemplating other venues. For that matter, how many interested parties would that bring in the Middle East and the Far East? 

Good business is all where you find it and I think I found a population and an optionally interested partner. The question now becomes can these so called ‘Agentic AI Pushers’ see the setting that is offered to them and can it pass the General Data Protection Regulation requirements? If so, we are in business. Just another idea from yours truly. Time to create another gaming IP I reckon, time to flex that grey matter under my skullcap.

Have a great day (again).

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The crunch to become

That is the setting and it remains to be seen as to where the crush will end up being. This morning I was surprised by a story in CDOTrends (at https://www.cdotrends.com/story/4729/how-agentic-analytics-replacing-bi-we-know-it) where Artyom Keydunov gives us ‘How Agentic Analytics Is Replacing BI as We Know It’ this is his view and as the co-founder and CEO of cube he is talking in his own street and that is his right. The issue with the article that it is really good, but there are some issues (from my point of view). The start is (optionally) great and with “For over two decades, the business intelligence (BI) dashboard has been the primary interface between data teams and decision-makers. These visualizations, charts, and KPIs have been invaluable tools for understanding what is happening inside a business. But in 2025, the dashboard model is showing its age. In a world where data moves at the speed of cloud transactions, connected devices, and global markets, static dashboards can no longer keep up. By the time a decision-maker logs in, refreshes a dashboard, and sifts through its filters, the critical moment for action may have already passed. Business leaders want answers, not just visualizations, and they want those answers as events unfold. A new approach, driven by AI and automation, is emerging to fill this gap.” There is merely spoken truth here and he is correct, but the Dashboard was ‘thought’ of by a Business Intelligence analyst and that tends to have hidden settings as that tends to be the case and the more it is set to the BI industry it was designed for, the better that tool tends to be. So when we see “By the time a decision-maker logs in, refreshes a dashboard, and sifts through its filters, the critical moment for action may have already passed” is not incorrect, but there is a time gap, we get that and the better the tool, the smaller the gap and as the designing analyst is better the more precise the tool becomes regardless of gap. So now we get to the ‘Agentic Analytics’ of the matter. It is programmed and based on the data it is trained on. Now, if this is all in-house data, that tends to be OK, but there is still the programmer and that is the culprit of the story. You see a programer is as good as the explainer hands him his data (tends to be a sales person) and that is already the issue. Sales persons are set to the blinkers then have (like pupils shaped as dollar signs) not the most eloquent setting to begin with. 

So then we get to “The static nature of dashboards has made them a bottleneck in modern analytics. They rely on the user to know what question to ask, when to ask it, and how to interpret the results. When organizations scale, the proliferation of dashboards often leads to confusion rather than clarity. A company may have hundreds of dashboards, each presenting a slightly different view of the truth, leaving teams overwhelmed and second-guessing their decisions.” This is a truth and a half no matter how you tweak it. And the stage of “proliferation of dashboards often leads to confusion rather than clarity” is set to the organiser behind this and that tends to be a salesperson, CEO or CFO, as such money is the operative word and Agentic Analytics (AA) is set to data and clarity of collected data and upgrading this won’t make the data more clear, it merely showed how the dashboard fell short of what’s needed. So when we get to the ‘good’ part with “A company may have hundreds of dashboards, each presenting a slightly different view of the truth, leaving teams overwhelmed and second-guessing their decisions” we see the gap in the entire AA setting. It isn’t less confusing, the tweaked set of data is likely misrepresenting what was needed in the first place and I will grant you that this is my view on the data. I have seen dozens of cases where that was the case and in some cases it was with people managing data the size of a Fortune 500 company. So as we get to the really good part, Artyom Keydunov tells us “The promise of agentic analytics depends on trust. Without robust data governance, AI-powered systems risk surfacing misleading or inconsistent insights — and worse, they might automate actions based on flawed assumptions.” This is a powerful statement, it is not the trust part, this is inherently drawn from the loyalty a firm instills, it is “they might automate actions based on flawed assumptions” you see, ‘flawed assumptions’ is the key here and it is with many dashboards and as such with AA solutions as well. That just gave me an idea (perhaps cube has this) there is a between setting where the app could have documentation in the ‘second tier’ a setting where a document cog could be embedded in the software solution that is merely accessible at the core company that made this setting. So where some see “growth margin per quarter” the hidden blockchain will refer to that setting and the documentation will set the parameters for inspection. It could be any kind of blockchain with the setting of corporation – application – sequential counter and that is documented. You see, it is not what is now that matter, but in 5 years the reality of any solution (or AA) will require revision and wouldn’t it be great that you are able to vet what was (correct or not). So, now go back to any dashboard that was designed over 10 years ago and still in use. How many will not be able to tell you what was?

A simple setting merely shown to you and perhaps in your own firm there are several others. So make of this what you want. The article is quite good and even as it is talking in the street of Cube, it shows some common grounds we all need to have before we all go the way of the Dodo because AI told us to do just that and we end up at the edge of a cliff like darling little lemmings and when we realise we are at a cliff, the lemming behind us its pushing us in the back making us fall over. Nice ride, don’t you agree?

So have a great day and for me a new coffeeshop open tomorrow, so another option to try pointing myself for the simple reason that only the once trusted coffeemaker knew how we wanted our coffee, just like the users of a dashboard now relying on some AA that we are supposed to do it their way (which might not be wrong).

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Order through the chaos of others

That is likely the setting we see today. I used the word ‘likely’ with some reservation as the implied parties are all kissing up to what they call ‘the ring of the orange entity’ and I am kind in the usage of the world entity (the other words were way to crass). Yet (at https://www.arabnews.com/node/2616094/business-economy) we see ‘Tencent Cloud accelerates Saudi expansion with new data region, AI services’ a setting that should be scorched in your minds for the simple reason that others are ‘hyping’ their so called AI setting and they don’t like other news that is not in their favor. We are given “Chinese technology giant Tencent is accelerating its cloud and AI push into Saudi Arabia, positioning the Kingdom as its primary hub for the Middle East under Vision 2030. On the sidelines of the Tencent Global Digital Ecosystem Summit 2025 in Shenzhen, senior executives told Arab News that the company is finalizing the launch of its first Middle East cloud region in Riyadh, part of a $150 million investment announced earlier this year.” Where they are addressing the second pillar of my three pillar solution and it is happening in Saudi Arabia. It is not merely that setting, they have bigger plans and these plans are seemingly underway. You see, in part we are given that side (at https://www.app.com.pk/photos-section/federal-minister-shaza-fatima-khawajas-meeting-with-saudi-telecom-company-stc-officials/#google_vignette) where we see ‘Federal Minister Shaza Fatima Khawaja’s meeting with Saudi Telecom Company (STC) officials’ There we see

and we get the gist of that meeting. Saudi Arabia is setting the borders way outside their national parameters and it makes sense as it gives them access to 251 million people, over 7 times the Saudi population. As I see it they now merely need Egypt (other efforts are already underway there) and Indonesia to make it a grand slam. And that gives them an almost certain setting to get 100 million subscribers to the Saudi Telecom Company (STC) group with expansion into Middle East and Asia. That is why Huawei and Tencent are playing it close to the vest as the expression goes. There is a chance they call it playing it close to the Kandura, or perhaps close to the Bisht. And as I see it, Saudi Arabia is only one step to dwarf the other 5G and telecom systems and that is where the Tencent Data centers come in. And as I see it, Tencent merely needs to connect two more places. Abu Dhabi and Riyadh and connect them to Hong Kong, Singapore, Seoul, Tokyo, Bangkok, Silicon Valley, Virginia, Frankfurt, São Paulo, Jakarta and they will become the biggest connected data centre on the planet. So, don’t believe the sludge that Microsoft is trying to sell you, as I see it, they no longer matter as per 01-Jan-2027. Oracle will connect to it all, as will Snowflake, AWS and whatever Europe has to offer, but as I see it, the Dutch relied on Microsoft, so that will be valued as laughter for money. And when that setting is set via a Chinese wall to whatever runs in China, America losses yet another battle that they set of presented bragging and other fiascos. And that writing was already done as I wrote ‘Evolutions towards the third cog’ on February 2nd 2024 (at https://lawlordtobe.com/2024/02/02/evolutions-towards-the-third-cog/) and at that point I truly believed that the UAE was picking up that option, but as it seems Saudi Arabia was a little more hungry for that revenue and now it seems that they might get it all. So the original latin expression “when two dogs fight for a bone, the third runs away with it” seems to apply here. And as CNBC gave us almost two weeks ago ‘OpenAI’s first data center in $500 billion Stargate project is open in Texas, with sites coming in New Mexico and Ohio’ where we see “OpenAI and Oracle are betting big on America’s AI future, bringing online the flagship site of the $500 billion Stargate program, a sweeping infrastructure push to secure the compute needed to power the future of artificial intelligence.

The debut site in Abilene, Texas, about 180 miles west of Dallas, is up and running, filled with Oracle Cloud infrastructure and racks of Nvidia chips. The data center, which is being leased by Oracle, is one of the most notable physical landmarks to emerge from an unprecedented boom in demand for infrastructure to power AI. Over $2 trillion in AI infrastructure has been planned around the world, according to an HSBC estimate this week.” We might need to adjust out views. It is true that OpenAI and Oracle are betting big, but they are set to the finders who are relying on a global impact and as I see it, when Tencent is connecting its data centers, over 20% of the planet will be somewhere else. So, do you think that the American people (340 million) will feed that massive engine? Consider that Europe is already fighting over where they want to be, those 450 million souls will not all traverse that setting and China with the expected 1.4 billion and the Saudi setting of over a billion (1.8 billion at present) gets Tencent the 3.2 billion, almost half the planet and that is merely the setting of Tencent and the STC. So how do you see that $500 billion go when you realise that some ‘proclaim’ that the AI facts come for over 40% from reddit (presumed speculation).

I reckon that someone will reinvestigate the ‘verification’ process in deeper detail (something I have been saying for over a year) and as such as the data is useless, so is whatever AI is sprung from that. The old Garbage in, Garbage out setting which some might have learned in the 80’s.

So whilst some might see that Stargate LLC is going to crash at some point, I would consider never ever investing in MGX Fund Management Limited which is owned by the UAE and I reckon (speculatively) that their $100,000,000,000 is going to go the way of the Dodo pretty quick. Of course if they have invested in Oracle, they will get the technology out of it and that can be redeployed in other ways, so that investment isn’t lost. But you need to know the contracts to define that step (I have no idea what the contracts stipulate). So is this certain? No, it is not. A lot of it is presumption and that is bigger than speculation, but it remains a guess. The larger part is that the STC, Saudi Arabia and Tencent are on course to make a nice killing (as the investment jargon goes). A setting that was set to productivity and gains through achievement. As I see it these two parties STC (Kingdom of Saudi Arabia and Tencent (Chinese government) are basically on track to become the larger players in this setting ever seen. 

Have a great day and remember, you don’t need AI to order a coffee from the nice barista in your coffee corner. 

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See Tea or else

Yes, I promised you a story full of intrigue, filled with bad Jedi and happy Sith only 20 hours ago. And here it comes (I’m watching Star Wars episode 2 at the moment). You see, there is a setting where we can watch the unfolding of what some laughingly call ‘Artificial Intelligence’ (it would be if it was designed by the CIA, but the American Administration is now in shutdown). To get there there are three parts. 

In part 1 we look at the ‘disinformation’ and here we see the parts that do not match. You see, Dab Mashed potatoes with unions were discontinued in both Coles and Woolworths. The IGA still has it as I was able to verify in person (I had to travel to Summer Hill for that). So this is part 1.

Now we get to the slightly better stuff. You see, some might think that combining DML with Predictive Analytics (some think it is AI) is a solution. You merely set this in a massive database and voila (a theatrical of ‘here it is’) and that was that. This is merely my version of what I think it is happening. 

You merely set the model on all the articles you have and you take settings of ‘minimum order size’ ‘estimated margin per item’ and a few other things and there you have a matrix showing the items that just don’t make the cut for your ‘predicted margin of profit’ model and they are ‘discontinued’. And it goes on for nearly all retail models, and it might be a consideration that this is a speculated idea of why PM Albanese invited Lulu into the mix against Coles, Woolworths, IGA and Aldi. I have no data on this, but I reckon it might be a reason that it stops the DML/Predictive Analytics madness. You see, there is a setting that it is folly to get any customer 100% happy (it really is), so these giants are heading for a mere 90% and they throw out the least margin articles out of their consideration, but there is a flaw, thrown out 10 articles is a start, but that leaves one less at 90% and 9 less at 1%, as such you have a base of 81%, so now we are off to the races. And as there is no substitute for added pressures, Lulu gets invited to Australia (in case the others went the way of the dodo, I meant Coles and Woolworths). There is no supporting evidence, so this is (highly) speculative. But there is another setting. You see, this solution requires programming skills and that is where ‘Accenture plans to boot staff it can’t train to use AI, 12,000 already culled’ comes in. This solution will require hundreds, if not thousands of people being reskilled and places like Accenture cannot do that, unless they trim the staff they have in several places. And 12,000 were ‘culled’ because it hinders their bottom line. To support this I give the following thoughts ‘What time was taken to assess a person whether he/she could be re-skilled?’ Who had the knowledge to assess this and what time frame was developed here? If this goes through it will mean a lot of engineers will be required in a short term setting.

And I merely used the Deb potato mash as an example, but what happens when it this pattern is released on pharmacy or other items? So whilst we might think that Accenture is dabbling in greed, the plain setting is that this is the direction that commerce is driving itself into. 

And this setting is about to be set on unverified data. Consider that Gemini AI had it wrong on Coles and Woolworths (see image), so what else did they get wrong and when that data is unverified how will the Predictive Analytics work with any level of accuracy? Mere simple questions at the top of my mind. And that was the setting of that ‘so called’ AI. 

Now, the setting is that parts of this are speculation, but does this make it wrong? It might be unverified, but the setting of the 12,000 culled into joblessness is recorded all over the media, and it is for the reason of ‘reskilling’ but what makes it impossible to reskill a person? As I see it, it is merely time and that is as I see it, time Accenture seemingly doesn’t have. And the setting of DML and Predictive Analytics? I see that as a limit towards viable data and that is the setting that plenty are ignoring. Some will ‘embrace’ the customer telling them that their data is awesome, but that is the second folly in this. Most of them are merely at the tally stage and their systems tend to come from legacy data, implying it is filled with holes and holes of non-data.

So think of this what you want, but the larger setting is about limiting YOUR ability to choose because it affects THEIR profit margins. Come to think of it, when was the last time you saw Sarsaparilla on the shelves of your supermarket? I remember a few years back there was Black knight licorice, where did that go? So think of all the things you liked and it is no longer there, why is that? Some are unviable as they cater to hundred of thousands of customers and they need to ‘adjust’ their stock accordingly. But what was denied to you? And the setting of adding predictive analytics to their profit mix is only making that worse for you. So what about part 3? Well that is where you the consumer comes in, it is what defines you, not what ‘their’ unverified data says you are. 

So have a think about what you are about to lose and have a great day and enjoy your next coffee, if only to force you to their brand of Nescafe.

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The Delphi setting

That is always merely a breath away. At some point the decline of Oracle became a setting and the looting of the place by the Byzantine Constantine the Great contributed to the Demise of this place. But for the most part I have never heard that Oracle became a non issue. It always struck me weird that this never happened. Even today most of us call the givings of the gods ludicrous, or perhaps better as the Catholics might say sacrilege. Yet the power of the Oracle of Delphi has seemingly never waned to zero. 

This is the thought I had today as yesterday the news of Oracle was pushed to the core (mostly at Yahoo Finance) with all kinds of messages. We start with ‘Oracle (ORCL) Initiated at Sell by Rothschild Redburn, $175 Price Target Set’ and it is followed by “According to the firm, the market is materially overestimating the value of Oracle’s contracted cloud revenues. In big, single-tenant, large-scale deployments, the company acts more like a financier than a cloud provider, “with economics far removed from the model investors prize.”” As well as “Oracle’s five-year cloud revenue guidance is equal to $60B in value. This reflects that the market is already pricing in a “risky blue-sky scenario that is unlikely to materialize.”” My first issue is “Why?” You see, even as I do not trust (or believe) AI, its foundations is set on data as it always was set. Data is the holy grail of AI that much is certain and it will proceed to be for decades to come. So, who will you trust with your data? Microsoft with its Azure? As I see it Microsoft can’t see real innovation through the brushes of their own proclaimed innovation and as hackers proclaim that Israel is storing a particular form of its ‘defense’ data in Azure, there might be a security issue as well and that is a total blocker. There are good data solutions in Google, IBM and Amazon, but they all consider Oracle to be the Rolls Royce of data carriers. Then we get the next setting of ‘Nvidia And Oracle Headline 7 Promising Stocks With Mojo: Analysts’ and as they give us “What’s especially impressive is that these stocks are already up 30% or more this year. That blows away the 12.9% gain by the S&P 500 this year. So these are the big winners Wall Street still has high hopes for.” As such we see that in spite of all the stupidities the American political engine performs these two are kind of hot and it makes sense that they are, even if I have some reservations, there was never a doubt that Oracle could grow through it. Making the Statement from Rothschild debatable and me without economic degrees calling Rothschild on this is better then sex (even if Olivia Wilde would call on me in the next hour calling me a fucking tool, this is followed by a rather loud giggle by me). So when we get to ‘Why Oracle’s Cloud Computing Deals With Meta Platforms and OpenAI Make The “Ten Titans” Growth Stock a Top Buy Now’ A setting that the Motley Crew gives us (what do they know of IT?). We are given “the company announced plans to increase Oracle Cloud Infrastructure (OCI) revenue by more than 14-fold in five years. But that news proved to be just one splash amid a sea of waves. Reports indicate that Oracle and Meta Platforms are in talks on a $20 billion cloud computing deal. And Oracle and OpenAI are building on their $300 billion partnership with the rollout of five new data centers custom-built for artificial intelligence (AI).” No matter where they are, a setting of a 1400% revenue growth in 5 years is massive, unbelievable massive. Now, no matter how this turns, the one day lightbulb who believe in their AI settings will have to invest the money to make it work and that is the beginning of a setting where Oracle wins, no matter how that turns out. As such the AI wannabe’s are fueling the increase and funding the foundations of these data centers. And we are given “Google Cloud serve a variety of general compute customers. However, Oracle’s data centers are specifically designed for AI.

Oracle is a good example of why lacking a first-mover advantage isn’t a deal-breaker. Oracle’s data centers are newer and faster. And it’s bringing over 70 of them online in just a few years, which is why it expects OCI growth to reach an inflection point in fiscal 2027.” I reckon that it will serve several purposes, but it is more AI set than other centers. Although I have no real idea where Amazon and IBM stand. I reckon that Oracle could cater to the needs of Snowflake and allow its customers to grow their needs and it will do so a lot better than being a little IT guy Azure blue with questions. I saw the need for applications in the lost and found section that could grow adaptation by nearly all airports and when you are in, you are in. I reckon that Interworks should talk to adaptation Snowflake through Oracle, but that is just me.

Then we get an article that matters (at least it seems to). We are given ‘Analyst Says Oracle (ORCL) Deal With OpenAI is ‘Very Risky’ – ‘Not a Customer That Can Pay Their Obligations’’ and I see “One is if you go back to the transcripts from Oracle Corp (NYSE:ORCL) for the last few quarters, you’ll see that it’s not just the last deal from OpenAI that increased their backlog. It’s actually been several quarters where it’s really OpenAI that’s been driving all of this. Having that is the only thing that’s added value to Oracle Corp (NYSE:ORCL) is very risky. That’s not a customer that can pay all their obligations. They’re double, triple booking, maybe quadruple booking capacity. They will not be able to live to those obligations. So if you’re adding $400 billion of market cap to Oracle Corp (NYSE:ORCL) based on that, I think we should revisit the math.” OK, I am in (not knowing the math he talks about), and we see “OpenAI is expected to burn about $115 billion over the next four years and is not projected to be profitable until 2030. Even after Nvidia’s latest $100 billion investment by Nvidia, OpenAI will likely need to raise over $200 billion in total funding to cover its commitments. Some analysts believe Oracle may need to borrow tens of billions to build enough data centers for the deal.” OK, that sounds fair, but some seem to forget that Larry Ellison is worth 344,000 million (sounds much better then 344 billion) as such he can get those numbers without any question. And if he is right he will triple his value overnight as these data centers come online. And that is when the article shoots itself in the foot. They do it by giving us “While we acknowledge the potential of ORCL as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an extremely cheap AI stock that is also a major beneficiary of Trump tariffs and onshoring, see our free report on the best short-term AI stock.” You see, no matter how great the idea is, it will still need data and Oracle is the best. They can side with fast talking sales people at Azure and see their projects fumble and watch delay after delay happen. As those promising returns fall to ash you can contemplate your choices. That being said, any AI idea is temporary at best, as such the investment in an Oracle engine seems a much better setting and these people have been in data for decades. As such I see the value and the foundation of Oracle, even if some do not or question the setting of Oracle. 

I wonder how Pythia sees my predictions and even as I am called ‘duly’ to serve Apollo (I serve Lord Hades in all things) the foundation of predictions is seemingly driven by personal insights and I have been at the foundations of data going back to 1982 so I do feel I am on the right track.

Have a great day and don’t forget to chew your laurel leaves, whether you are about to enjoy a coffee or not. Oh, get your coffee quick, the US government shuts down in 7.5 hours.

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The overlook factor

That is all on me. Or basically better stated, there were other factors in place. First there was the Amazon Luna, the setting was open to them, but like Google, Amazon left billions on the floor. So I moved on, hoping that Kingdom Holding would buy the Google Stadia to further their own capital and throughput to their community. But that didn’t happen either. To see this setting we need to take a step back and look why the Google Stadia ‘failed’. The published ‘works’ give us:

Google Stadia failed due to a combination of a flawed business model, insufficient exclusive games, and poor marketing. Gamers were hesitant to purchase games on a new platform with an uncertain future, especially when compared to established alternatives like Xbox Game Pass. The inconsistent technical performance and the closure of Google’s own game development studios further eroded user confidence, leading to the platform’s shutdown in January 2023. 

In addition we are given:

1. Business Model & Pricing:
Confusing Model: Stadia was both a subscription service and a game store, which confused potential users about what they were getting and how to pay. This could be easily fixed. In my ‘oversimplified model’ I set the idea to an annual setting of $90 dollars, or $9.99 a month, first two months free to counter the purchase of the Stadia. In this setting I am foreseeing an initial annual revenue of $2-$3 billion, after that (during phase 1) the revenue would top up to about $6 billion.
High Purchase Prices: Unlike competitors, Stadia required users to purchase games outright, which was a hard sell for a platform that didn’t have a console.  This item falls away at present.

2. Lack of Exclusive Content: 
Few “Killer” Games: Stadia failed to attract users with a strong lineup of exclusive, must-have games that would justify switching from competing platforms. The stadia will not be competing, it goes in another direction. It still have games, but is part of a tripod of services, as such it has another direction.

3. Marketing & User Adoption:
Poor Marketing: Many people, even within Google, were unaware of Stadia. The marketing efforts were misdirected and did not resonate with potential users. This is easily fixed, the setup allows for a population of 50,000,000 users and there is a business part that will show to be transparent.
Unclear Target Audience: The platform’s target audience was not well-defined, leading to confusion about its purpose and value proposition. I solved that from basically day one.

4. Technical Issues: 
Connection & Latency Problems: While cloud gaming is dependent on internet speeds, some users experienced technical issues, including frustrating delays and sudden crashes, even with good connections. This might be a problem, But if Amazon could fix it, so could Google, were the right settings set in motion? Also, the premise of the Stadia changes, as such some games will not have latencies, only games like Epic Games depend on this.

5. Google’s Priorities & Image:
Lack of Long-Term Commitment: Google’s history of abandoning projects further damaged trust in Stadia, especially after its closure was announced. Optionally no longer a problem.

Unrealistic Expectations: Google reportedly had very high expectations for Stadia from the outset, expecting a scale similar to the Play Store, which may have been unrealistic for the nascent cloud gaming market. This is on Google, the setting changes and as such so does the expectation of things. I expected up to $6,000,000,000 in annual revenue in phase one, after that it could go up to $15,000,000,000 annually, that is a lot better that Microsoft EVER achieved.

Some call me stupid, some call me a dreamer (I might be the latter) but as I see all the tech firms rely on their AI, all whilst Huawei is about to make a move with cheaper options. They are likely to get billions of consumers (1.4 billion in China alone) and as Huawei is pushing through several ides that make Apple and others nervous, they could end up with a massive chunk of it. In the meantime I looked elsewhere and I see the stadia hiding for its own population and there is a chance that China might become one of them, although partnership with Tencent is much more likely. And my idea opens up the Ubisoft schooling setting (I wrote about it a few times) on the stadia as well. 

A setting of $6,000,000,000 is there for Google to activate, they already have the hardware and one of the tripod elements in place. One required Unreal Engine 5 (I don’t know if the stadia can cater to that app need) but that is the setting several left on the floor (and I am not in favor of Microsoft picking up this idea).

So am I a dreamer or are the Tech giants running like Greyhounds after the AI bunny in a spinning retrace? I leave it up to you to decide. But as I see it Google overlooked a massive optional population and now as the game is about to change, Tencent might actually become the winner of that tally. Have a great day and enjoy the coffee this morning.

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Focal points required

That is the setting I am having in 1 o’clock in the morning. The news (and the internet) is currently overloading with Jimmy Kimmel stories as well as vindictive settings against Disney and I get it. When the media who is trumpeting free speech is becoming the bitch of President Trump, people will not take kindly to this. Apparently the subscription servers at Disney went down as it was overloaded with cancellations (according to some sources). So I had to look all over the place on the settings of finding something to write about and Tom’s Hardware was one source who supplied the goods. The story (at https://www.tomshardware.com/tech-industry/artificial-intelligence/microsoft-announces-worlds-most-powerful-ai-data-center-315-acre-site-to-house-hundreds-of-thousands-of-nvidia-gpus-and-enough-fiber-to-circle-the-earth-4-5-times) gives us ‘Microsoft announces ‘world’s most powerful’ AI data center — 315-acre site to house ‘hundreds of thousands’ of Nvidia GPUs and enough fiber to circle the Earth 4.5 times’ and even as I don’t care too much about what happens in Wisconsin (other than the need to protect cheeses, I really like cheese) is the fact that when I see an article with that much data, I start looking for missing data, I am wired that way and it is less than 4.5 times around the planet.

But we got something, the setting is given with “This is likely a comparison to xAI’s Colossus, which uses over 200,000 GPUs and 300 megawatts of power. Microsoft didn’t specify its exact number of GPUs nor the expected power consumption.” And that is the ball game. You see, the setting of 300MW is not just a lot, it is the entire ballgame. Now, there is evidently enough power in Wisconsin, but is it enough? Consider a simple PC. It has a 600W power supply. Now this is not the same, but I am getting to that. Take 200 PC’s, that makes it 120,000 Watts of energy. Now consider that hundreds of PC’s are needed to even partially validate the data coming into that place. You need data verification spots to do that. The larger setting could be done by data entry people, people who go over the received data and they need to work quick, almost uninterrupted. As such the quote “Microsoft didn’t specify its exact number of GPUs nor the expected power consumption” is as I personally see it, massively deceptive. Just like the stage of Builder.ai where Microsoft set it to over a billion dollars and in months that money was gone, they apparently spend it on under 200 programmers (test engineers) and that is merely the start of it. And when we talk about enough fibre to circumvent the planet 4.5 times you get 57,402 km of fibre won’t that take any energy? The numbers aren’t adding up and even as Wisconsin has energy, there is every likelihood that they ‘suddenly’ have a shortage of energy. Oh, what a damn shame and the setting of any data centre is that in case of a shortage of energy it all ends right quick, the moment the surplus hits zero, the issues start and they will immediately escalate. 

Further down that page we see the mention of Elon Musk: “Elon Musk confirms xAI is buying an overseas power plant and shipping the whole thing to the U.S. to power its new data center — 1 million AI GPUs and up to 2 Gigawatts of power under one roof, equivalent to powering 1.9 million homes”, well good luck with that idea. I am not saying it is impossible, but the setting of getting that all placed in a new location still requires a lot of concrete and not to mention the stage of the resources to get the plant going, so what is it? Gas, oil, coal, Uranium?

So what is fueling the Microsoft plant? And how much surplus energy will Wisconsin have left at that point? As I see it, there is a reason that Microsoft doesn’t give out the expected power consumption. And there are a few more items on that list, like validators (could be done remotely) so hundreds of people calling into that centre what drives the telecom settings? All issues that would have to be tackled on day one. 

As I see it, there is a lack of focal points, but as I see it, those who spin aren’t interested in that concept at all. Merely the floatation of the name in conjunction with “‘world’s most powerful’ AI data center”, didn’t Microsoft do this once before? Oh yes, the most powerful console in the world. How did that end with that Xbox series X? As far as I know it is trailing the weakest console (Nintendo Switch) by a lot and it is also trailing the PlayStation 5 a fair bit. So I am not keeping my hope up when Microsoft is juggling the setting “World’s most powerful…anything

But then I have seen them play these cards for almost 40 years. And they could have taken advice from IBM on certain matters, like “This page is intentionally kept blank

But that is just me.

The second setting is being pushed forward. I don’t want to write the wring thing and there are a few missing cogs in that story. Like the ‘new’ location on $4,300 billion retirement funds. And no one is talking so I have to dig.

Well, have a great day, time for Sunday to get a sun (in 4 hours) and consider looking around for freedom of speech, Disney seemingly can’t find it. 

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The massive problem with AI

Yes, I have said that on several occasions, there is no AI and whatever there is has verification issues. Today I illustrate this YET again and here in this case Google is as much to blame as many others.

So we have two images, the first one gives us 

That there are risks. I was taken a little back, The UAE is one of the safest places on the planet. So I decided to ask the same question a little different and I added the term “in 2025” so as we see the second setting

We see the initial feeling I had about the country. And there are an abundance of articles showing the safety of the UAE (and Abu Dhabi), as such I want to kindly wake Sergey Bring the fuck up and I am wondering whether he needs to address his Gemini settings a little. Perhaps American tourism decline settings is altering the verification settings?

As such there is one little situation, the setting that whatever bigtech calls AI cannot be trusted (which I already knew). The setting of verification that is up and about and that is the major handle in whatever that (AI) is. We need to realise that there is no AI. There is DML (Deeper Machine Learning) and there is LLM (Large Language Models) and they are awesome, but they are depending on the programmers you throw at them and it is not foolproof, there are issues (as you can see). 

This is not a large article. I have said it before and now within 5 minutes I had the setting I needed. I reckon that all of you want to make a separate ‘judgment’ on whatever these people call AI and whether it might show your local environment in a limelight you could check. And just for fun (I tend to be a whacky person) I am adding the ‘American Tourism decline’ here too.

Just to set the premise, consider that this was given 4 weeks ago: “In June, Canadian residents returned from 2.1 million trips to the United States, representing a 28.7% decrease from the same month in 2024 and accounting for 70.8% of all trips abroad taken by Canadian residents in June 2025.” And the story here becomes verification. You see, who (or what) is feeding the AI models? When the data cannot be verified, how is the data conceived? Because this data is fed, by whom becomes the story and the media (as a whole) becomes less and less reliable. 

Have a great day, almost time for me to take a walk towards my brekky.

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