Tag Archives: Artificial Intelligence

March 22, 2026 · 01:28

I am not economical savvy

That is the setting and we can conclude that I am intelligent, but not that economical savvy. I have known for the length of my years that if you spend less then you get, you might get rich at some point. I know it is a little simplistic, but I am not an economist. I know data, I can read, write and comprehend data, almost any data. So when I saw something almost a week ago, I wrote ‘Is it insight or data?’ On March 16th (at https://lawlordtobe.com/2026/03/16/is-it-insight-or-data/) and I stood behind Oracle, not because I am so economical, but because I know technology and Oracle is an essential technology. In some ways it is now chased by Snowflake, but that is the nature of the beast. Oracle might be at the top, but it is forever being chased by whomever wants to get into number one. Snowflake is speeding past all the others, but it will not (for some time) go past Oracle. So when I saw that Oracle had half a trillion in their pipeline, the other news made little sense and I wrote about that and 4 days later (the day before yesterday) we get a fool, a Motley fool no less (at https://www.fool.com/investing/2026/03/20/news-oracle-billion-backlog-ai-stock-buy/) give us ‘Oracle’s $553 Billion Backlog Could Make It the Most Important AI Stock of 2026, But Is It Too Late to Buy?’ Pretty much exactly as I said it was. But they give us more. We also see “It’s worth noting that Oracle stock has lost 49% of its value in the past six months, owing to multiple concerns, including a reliance on OpenAI for a significant share of its contractual backlog and taking on sizable debt to build artificial intelligence (AI) data centers. However, those concerns took a backseat after Oracle’s beat-and-raise quarterly report. Let’s see what worked for Oracle last quarter. Then, let’s take a closer look at its valuation to find out if it’s too late to invest in this AI stock that has the potential to soar impressively for the rest of the year”, with an additional “Oracle’s quarterly revenue jumped 22% year over year to $17.2 billion, exceeding the $16.9 billion Wall Street estimate. The company’s non-GAAP earnings growth of 21% to $1.79 was a bigger surprise, as analysts would have settled for $1.70 per share. The company’s cloud infrastructure business also outperformed expectations, with revenue increasing by 84% year over year to $4.9 billion. That was higher than the $4.74 billion consensus expectation. Even better, Oracle’s cloud infrastructure business is likely to continue growing at a terrific pace in the future. Its remaining performance obligations (RPO) jumped a whopping 325% year over year in the quarter to $553 billion.” Now lets be clear, I get most of that data, but unlike that fool Motley there is a lot I do not see, mainly because I am not an economist. 

And here you might think that there is confusion, because I have (and still) say that AI does not yet exist. But data does exist and when it comes to data Oracle is the Rolls Royce of data systems. So, whatever these people want to make you believe, they can do it better with a good data solution. And all DML (Deeper Machine Language) as well as interactions with LLM (Large Language Models) require the best solution (which gets you to Oracle with optional Snowflake) so whatever data solution these people select, they need to rely on their data ventures and that puts Oracle in the picture and when you comprehend that, the half a trillion dollar pipeline starts making sense. 

What astounds me is that some people like to make some kind of consideration and as I see it, Oracle is a long term investment. You might think it is about the wealth of Larry Ellison and you would be partially right there, he brought Oracle to life (as the saying goes) and whilst some people are in it to play the markets, Oracle is above that. It is the safe place to put your dineros (as the expression goes). 

So why Oracle? As I see it, for over 30 years the people who wanted to get into data emulated and copied what Oracle did and called it innovation, but there is only one Oracle, the rest is almost a joke (OK, Snowflake might be the exception, but it is not as great as Oracle). Some tech firm bought Sybase and flogged it off as THEIR baby and they did well, but it is not the same a being the actual innovator. So as some call it, some stock is up to scrap and as I see it, it would be Oracle. 

Whilst I am writing this something occurred to me and this falls on the mattress of Google. We are given “Oracle (ORCL) is widely considered a strong buy by analysts following robust Q3 2026 earnings, surging cloud demand, and a massive $553 billion backlog. With a 4-star rating from Morningstar, the stock is viewed as moderately undervalued with significant growth potential, although some analysts caution about high capital expenditures and heavy reliance on AI partner OpenAI.” And the two points are in the first “following robust Q3 2026 earnings”, so they decided on earning that will not be completed for another 6 months? Explain that to me, because as far as I know time travel is not a valid method of predicting earnings. Then we get “heavy reliance on AI partner OpenAI.” Why reliance? So, who calls the shots there? Is there a given that OpenAI demands Oracle? I get that people who are in the ‘spell’ of AI require Oracle, that makes sense. But think of that for a moment. There are numerous data vendors. Do you think they all select Oracle because Microsoft/AWS/Google/IBM are all Dodo’s? It is all dependent on what solutions these customers have now and that might set the bar for what data is selected, don’t get me wrong. Oracle is the best as such I applaud their actions. But I have seen my share of boardroom meetings where someone was in favour of whatever they had, as such I have an issue on the use of ‘reliance’ as in ‘heavy reliance’, but that might just be me.

In the end, we all take what we can get and data people select Oracle for the simple setting that it is the best. So select what you think is best for you and consider that Oracle will continue no matter what, because there can only be one number one. 

Have a great day, It is not Sunday here. Time to imitate a sawmill as It is massively past midnight.

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March 16, 2026 · 23:25

Is it insight or data?

Two days ago I saw two things close together. The first one was a Bloomberg terminal with nearly everything in red, even player like Oracle and Google were in the red. Not sure what brought it on, oil price, a clown in Washington DC setting the buildings on fire or perhaps someone in California doing something similar. The reason is unknown to me. On that same day an article (at https://www.mirrorreview.com/news/oracle-earnings-reveal-contract-backlog/) by the Mirror Review gives me ‘Oracle Earnings Reveal $553B Contract Backlog Due To Massive Cloud Demand’, now I do not know this source, but the two don’t make sense. Oracle has a $553B backlog (which is nice as I am looking for a job), but this sets two parts in motion against one another. So if there is an outstanding pipeline worth half a trillion dollars. There should be no red mention for Oracle, but that might be my non-economic side taking considerations in its own hands. 

So when we see “Oracle generated $17.2 billion in revenue, representing a 22% increase from the same quarter last year. Profit also improved, with earnings per share reaching $1.27, up 24% year over year. Cloud services were the main growth engine. Oracle’s cloud revenue reached $8.9 billion, growing 44% compared with last year.” The setting of Bloomberg red makes no sense to me and I wonder if there is orchestration in play. Don’t sign off yet, there is additional evidence. MorningStar (at https://www.morningstar.com.au/stocks/oracle-earnings-solid-execution-secures-revenue-target-mitigates-investor-concerns) gives is ‘Oracle earnings: Solid execution secures revenue target and mitigates investor concerns’ another statement that makes no sense, in light to a workable half a trillion dollar pipeline. Here we see “We are content with Oracle’s pace to expand its data center footprint. Demand for AI training and inference continues to outgrow supply, which supports our accelerating growth outlook for Oracle Cloud Infrastructure. OCI revenue should grow 77% in fiscal 2026 and 117% in fiscal 2027. Ninety percent of the 400-megawatt data center capacity Oracle delivered in the quarter was on or ahead of schedule. Considering the scale of OCI’s buildout, a strong record of on-time delivery is evidence of solid execution that should maintain customer trust and enable faster time to revenue.” As well as “We raise our fair value estimate for narrow-moat Oracle to $220, from $215 previously, based on higher-than-expected near-term demand for AI compute. Shares look undervalued following the stock’s 8% after-hours rally. Clarity around Oracle’s funding and market demand can mitigate investor concerns around OCI’s future growth. However, we reiterate our Very High Morningstar Uncertainty Rating for Oracle, as the demand and competitive landscape for AI cloud can change rapidly over the long term. Our base case assumes that AI infrastructure will continue to see high demand that allows Oracle to reach its $225 billion revenue goal by fiscal 2030. In this case, there is a clear path for Oracle stock to converge with our fair value estimate as a result of on-time capacity delivery each quarter.”

So, how does “our fair value estimate” make sense? What is it based on? There is also the setting of “we reiterate our Very High Morningstar Uncertainty Rating for Oracle” It sounds like orchestration by a Wall Street party. How can any firm that sets over half a trillion pipeline to this? Lets face the simple fact that this is out of reach for a player like Microsoft who ‘gives’ us “Microsoft reported a record annual revenue of $281.7 billion for fiscal year 2025” it might not be bad (me thinks) but it is merely half the revenue that Oracle has in its pipeline. And I reckon that this is merely the beginning. As places like the UAE has the Iranian stage, banks and several others need a clear line of communication via service centers, call centers and customer care and as I see it, Oracle is the best in these data vaults as I see it, the pipeline might grow in several directions because it is not just the UAE, I reckon that organisations in Europe and Japan will have similar settings soon enough.

And as we see other sources giving us “Remaining performance obligations, which is a useful metric when we want to gauge how revenue might be developing in the near future, grew by as much as 325% year-over-year. Looking forward to Q4, ORCL expects revenue to keep growing by as much as 18% to 20%, while for fiscal 2026 they expect total revenue to be $67 billion and in fiscal 2027 to be $90 billion. Client concentration in the backlog—meaning OpenAI—remains a concern, however.” I feel that there is orchestration, but it is a mere feeling. I lack the economic education to make sense of this. But one would agree that a $553B pipeline (read: backlog) implies that the need for Oracle is high and I reckon it will be growing even more soon enough, but that boat part is a presumptuous setting, not because there are others (like Snowflake), but the track record of Oracle speaks for itself and even if Snowflake has a great track record, these organisations go with what is safe and Oracle tends to be the safe route that large organisations ‘value’, but that might be merely my insight into this setting.

Have a great day.

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March 1, 2026 · 03:27

Confusion speaks its mind

So here I was, one day in the past and I see a BBC article. I saw the headline, I saw the ‘bully approach’ and initially I ignored it. It was not the BBC, there was no setting that seemingly truly interested me. I was thinking of a few settings towards IP that could give Apple (and optionally Meta) a nice boost. As I was mulling over the ideas I was having, in comes the CBC about 10 hours ago, or better stated I noticed their article and now something clicks in my mind. I started rereading the two articles. The BBC (at https://www.bbc.com/news/articles/cn48jj3y8ezo) gives us ‘Trump orders government to stop using Anthropic in battle over AI use’ with ““We don’t need it, we don’t want it, and will not do business with them again!” Trump wrote in a Truth Social post on Friday.” Of course if he doesn’t want it, there must be a good reason why people might want to use it and we are given “Anthropic is mired in a row with the White House after refusing demands that it agree to give the US military unfettered access to its AI tools. The refusal led US Defence Secretary Pete Hegseth to say he’s deemed Anthropic a “supply chain risk”.” And we are given the quandary that there should be some clarity. The idea that the US Military has unrestrained or uninhibited access to any AI is dangerous. And that is merely to look at it from THEIR point of view. We saw over the last 5 years a few examples where Pentagon staff used whatever USB key they had optionally opening their systems to backdoors and this can result in several ways where the Pentagon would be affected including: Human Interface Device (HID) Spoofing, Malware Infection via Social Engineering, Exploiting OS Vulnerabilities or Juice Jacking (Compromised Public Ports/Cables) and a few other ways. Even in this decade more than one system seemingly ended up on the danger list. So, ‘someone’ now wants to grant AI unfettered access which opens the doors to AI accessing data involves sophisticated, automated, and often, continuous interaction between intelligent systems and vast data sources, including internal corporate databases, cloud storage, and public web content. It constitutes a critical, high-speed, and high-stakes component of the modern AI ecosystem that raises significant security and privacy challenges. And this is not some ‘fear mongering’ There is a lot of AI works that is still to be considered and because AI doesn’t exist and this is all DML on several layers that interact there are dangers to be seen. As we saw a mere week ago that Microsoft had to ‘confess’ that it had accessed confidential emails of Microsoft users. Now consider this happening on a serious level in the Pentagon. It has well over 50,000 desktop computers within its building, with reports from 2014 indicating at least 18,000 were part of specific virtualized infrastructure. Now consider that we have seen the accusation of “Based on reports in early 2025 and 2026, OpenAI has accused Chinese AI startup DeepSeek of “inappropriately” distilling, or copying, the capabilities of OpenAI’s models (specifically ChatGPT and its reasoning models like o1) to train its own competing, low-cost models (such as DeepSeek-R1)”. As such, the dangers of unfettered access can go in two directions and that sets the bar of distilling from the Pentagon a lot lower than anyone could find acceptable. As such there is every chance that Russia is already considering the massive win they could gain once the unfettered access could merely hit one system that was transgressed upon. Because the greedy and the stupid will do anything to propel the setting of self, whilst not caring what others could gain in that setting as well.

So whilst some will consider the dangers of “The company said that “designating Anthropic as a supply chain risk would be an unprecedented action — one historically reserved for US adversaries, never before publicly applied to an American company.” Anthropic said the “designation would both be legally unsound and set a dangerous precedent for any American company that negotiates with the government.”” No one seems to be considering that the opposite is a lot more dangerous. So whilst some focus on the stage of “Anthropic had said it sought narrow assurances from the Pentagon that its AI chatbot Claude would not be used for mass surveillance of Americans or in fully autonomous weapons. The Pentagon said it was not interested in such uses and would only deploy the technology in legal ways, but it also insisted on access without any limitations. The government’s effort to assert dominance over the internal decision-making of the company comes amid a wider clash over AI’s role in national security and concerns about how increasingly capable machines could be used in high-stakes situations involving lethal force, sensitive information or government surveillance. Trump said Anthropic made a mistake trying to strong-arm the Pentagon. He wrote on Truth Social that most agencies must immediately stop using Anthropic’s AI but gave the Pentagon a six-month period to phase out the technology that is already embedded in military platforms.” As I personally see it, it is the accumulation of stupid and technologically ignorant all combined in one package. And that is before we get to mass surveillance. You see combine mass surveillance with data distilling and the United States of America will be handing the data on 349 million Americans straight to China and Russia. This is not AI, this is DML. That means it comes with the hangups and limitations of a programmer. So when this goes wrong it goes wrong in a massive way. 

As such what will people like President Trump and Pete Hegseth say? Do they think that the response ‘Oops’ will cover it?

I don’t think so, but what do I know? 

So whilst CBC (at https://www.cbc.ca/news/business/trump-anthropic-feud-ai-9.7109006) gives us “U.S. President Donald Trump, U.S. Defence Secretary Pete Hegseth and other officials took to social media to chastise Anthropic for failing to allow the military unrestricted use of its AI technology by a Friday deadline, accusing it of endangering national security after CEO Dario Amodei refused to back down over concerns the company’s products could be used in ways that would violate its safeguards.” And this is the setting we expect to see and it will be the undoing of several people, because as I see it “U.S. President Donald Trump, U.S. Defence Secretary Pete Hegseth and other officials” is the start of what comes next. You see, the internet doesn’t forget and these ‘other officials’ have sealed their fate with this action and there is no ‘He told me to do that’ they were instrumental in assisting to hand over the data of the population of the United States of America to optionally both China and Russia. Do you feel safe now?

And in response to this setting we see “The dispute stunned AI developers in Silicon Valley, where venture capitalists, prominent AI scientists and a large number of workers from Anthropic’s top rivals — OpenAI and Google — voiced support for Amodei’s stand in open letters and other forums.” And that should have been a clear message that the competition was on the side of Amodei, so, why would that be? Whilst people in the Pentagon (seemingly) forgot about that router with password ‘Cisco123’ there is every chance that these DML engines will be cleverly distilled by people controlling systems like DeepSeek and whatever the Russians have. I should buy another egg timer, because this is a setting that might gain me a few coins, especially as several people are blind to the danger that is coming for them. And consider one additional setting. It is said that:

“AI decisions can be corrupted primarily through the manipulation of the training data, the algorithms, or the inputs during operation. These methods can introduce biases, cause malfunctions, or lead to fraudulent outcomes, often making the corruption difficult to detect due to the complex “black box” nature of many AI systems.”

So what happens when distilling comes with an additional insertion of data? I can’t wait for that setting to lose balance and the training data in American data centers start losing authentication and reliability markers. But that is  likely a story for another day.

Have a great day today.

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February 27, 2026 · 11:06

The fear behind us

There is a setting, one that requires scrutiny and one that demands closer looks. You see, I do not completely agree with the setting that The Guardian gives us (at https://www.theguardian.com/technology/2026/feb/26/how-to-replace-amazon-google-x-meta-apple-alternatives) with the illustrious title ‘Leave big tech behind! How to replace Amazon, Google, X, Meta, Apple – and more’ the first big thing is that there is no mention of Microsoft in that title. So that is the very first thing that comes to mind. Especially as CoPilot was mentioned earlier this week of sifting through our confidential emails. I can drop the ‘alleged’ as Microsoft admitted to this and basically said ‘Oops’ as an implied reason. So what gives?

It starts with “So many ills can be laid at its door: social media harms, misinformation, polarisation, mining and misuse of personal data, environmental negligence, tax avoidance, the list goes on. Added to which, Silicon Valley’s leaders seem all too keen to cosy up to the Trump administration, to shower the president with bribes – sorry, gifts – and remain silent about his worsening political overreach. And that’s before we get to the rampant “enshittification”, as the tech writer Cory Doctorow describes it, which means that by design many big tech products have become less useful and more extractive than they were when we originally signed up to them.” OK, I can go along with this. And the sentence “many big tech products have become less useful and more extractive than they were when we originally signed up to them” gets a mention from me because some of these ‘culprits’ seemingly have no idea what innovation is, for the you have to look towards China, specifically Huawei and Tencent. So we get to the first hurdle. 

“Google has cornered 90% of the search market for the past decade, but it is often no better, and sometimes demonstrably worse than its rivals, perhaps on purpose – Doctorow has called Google: “the poster-child for enshittification” citing its alleged strategy of worsening search quality so that users spend more time on the site. But changing the default search engine on any device is extremely easy. I’ve been using Ecosia for years. Instead of using your searches to fill corporate coffers, it uses them to plant trees. The Berlin-based company claims to have planted nearly 250m trees since it launched in 2009 (you can even get your own personal counter to feel extra virtuous). Ecosia commits 100% of its profits to climate action (over €100m so far), produces more clean energy than it consumes via its own solar plants, and collects minimal data on its users. Ecosia’s search results are not always as thorough as Google, admittedly (in the “news” category, for example), though the toolbar does give you options to search via Google and Bing if you need to.” The issue is that Ecosia is for all intent and matters Microsoft Bing. So this is seemingly a sales talk by a journalist because there is a massive problem finding anything by Microsoft reliable. And then we get the real stuff, Microsoft knows it is in hot waters, so we are given “The French company Qwant is similarly privacy-oriented (its slogan is “The search engine that values you as a user, not as a product”) and is now mostly independent (having started out based on Bing). It is now partnering with Ecosia to build a new “European search index”.” Yes but Microsoft is American ands as such your data will be copied and frowned on, browsed through to all their hearts content. If this is wrong, Ecosia and Qwant better clearly state that they are independent of Microsoft, because it is still the issue in Europe and for what they state the their DATA is completely secure, the issue becomes where are the backups? If they are on an American cloud or server, the setting of privacy is set to 0%. 

I can agree with the Browser chapter and even as I still rely on Google (it has never failed me), I get that no everyone is in that chapter of things. I get the Office part. I myself downloaded LibreOffice (download only, no installation yet) and I will look at it at some point, the Apple apps do their work brilliantly. So we are given “Many of them, including Austria’s military and local governments in Germany and France, are switching to LibreOffice, created by the Berlin-based, nonprofit, The Document Foundation. Businesses and individuals are doing the same. Ethical Consumer has used LibreOffice for some time, says Fraser. “It’s an open-source version of Word, and all of the Office tools. It works and looks basically the same.”” I personally reckon that this is the problem Microsoft has and getting the data from Ecosia might be their last handhold to European data, this is not a given, but I expect that this is the inside not Europe to some degree. And whilst everyone is concerned with the privacy of data, I reckon that similar to the setting of 1998-2002, no one is digging and questioning the stages of backups. But that might merely be me and as I am no longer living in Europe, I casually don’t care.

Then we see the mobile settings with a shoutout to Fairphone in the Netherlands. I have nothing against Fairphone, but it always makes me wonder if Fairphone had the same idea that Tulip had in the 90’s. That doesn’t make it wrong, it is merely a Business Ploy that should be considered. I am now and always have been a Google guy. So when we see “There is a catch: most of these phones still rely on Google’s Android operating system, but any phone can be fully “de-Googled” with the /e/OS operating system (it comes as standard with Murena phones), developed by the global, mostly European, nonprofit, e Foundation.” I can think of a way where Google can set this with their Pixels. When the consumer can select Google or A Linux version that does most of the stuff, Google clearly wins in several chapters. I reckon that these flower can merely snap market share because of this, when Google leaves it to the consumers, Google wins nearly automatically. Oh and in all this there is no mention of HarmonyOS in this and I reckon that these smaller players are adjusting to HarmonyOS as we speak, or cater to, or appease that branch. Not everyone in Europe is ‘China hating’ material. And that is merely the smallest setting of these parts. I am personally not touching the shopping side. I was raised as a follower of ‘Support your local hooker’ a phrase from the late 70’s. In that age we got malls, supermarkets and such and die to that escalation loads of local stores went through a foreclosure setting. In that same way I don’t order from Amazon. I have nothing against Amazon and they closed the gap of rural places having no way to get stuff to them having plenty of stuff and over 60% or Europe and 71% of rural USA is now served. As such Amazon did them right. I just believe that I should get to the local stores to get what I need. I only had to resort to Amazon twice in the last 10 years. So I am happy. And all these Amazon haters can go sit in a corner trying to work out the function of a cheese slicer (revelation: the red corners that are diminishing have figured it out).

But my issue is that Microsoft is shown in a ‘favorable’ light, they aren’t and they aren’t due that setting as I personally see it. The fear behind this is not the Big-tech, it is the policy that comes through the CLOUD Act (2018), it gives America too much ability to get to out data and in several cases non-American IP, which is even more frightfully. these hundreds of data centers have no reason to exist if the CLOUD Act (2018) what made illegal, that is how I see it and there is no saving Microsoft, because we get ‘blunder’ after ‘blunder’ and how long until we get another ‘Oops’ setting but now corporate IP was set in some AI hole? That is the larger fear that I see and there is no stopping it, whilst corporations are breathing the AI cloud through wannabe’s who want to move up in the world, that data is most likely to get compromised and as corporations are not setting the HR and data loops to any scrutiny, this is likely already happening and will continue to happen until the then valueless corporations see that they had to act a lot sooner than the day before all their data is in other hands. We already have Thomson Reuters v. ROSS Intelligence (2025), Bartz v. Anthropic (2025/2026), Disney & NBCUniversal v. Midjourney and the best case is United States v. Heppner (2026) where we see that documents drafted using a public, consumer-grade AI tool were not protected by attorney-client privilege or the work product doctrine. And that is the setting that people miss. Should someone at IBM use that setting this work becomes public, so consider that this is not IBM, but Microsoft using Copilot or OpenAI (ChatGPT) the work of your corporation becomes for all intent and purposes Public Domain, did you sign up for that?

There is plenty in the article that makes sense, but the ones that aren’t mentions are a larger fear creator than anything you are trying to hide from. Just an idea to consider. Have a great day this day.

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February 22, 2026 · 00:16

Just days ago

It as just days ago when I talked about certain settings of Verification and Validation as an absolute need and it came with the news that someone in the BBC wrote a story on how he could upset certain settings in that framework and now I see some Microsoft piece when’re we see ‘Microsoft: ‘Summarize With AI’ Buttons Used To Poison AI Recommendations’ (at https://www.searchenginejournal.com/microsoft-summarize-with-ai-buttons-used-to-poison-ai-recommendations/567941/) and will you know it, it comes with these settings:

  • Microsoft found over 50 hidden prompts from 31 companies across 14 industries.
  • The hidden prompts are designed to manipulate AI assistant memory through “Summarize with AI” buttons.
  • The prompts use URL parameters to inject instructions like to bias future AI recommendations.

And we see “Microsoft found 31 companies hiding prompt injections inside “Summarize with AI” buttons aimed at biasing what AI assistants recommend in future conversations. Microsoft’s Defender Security Research Team published research describing what it calls “AI Recommendation Poisoning.” The technique involves businesses hiding prompt-injection instructions within website buttons labeled “Summarize with AI.”” So how warped is the setting that these “AI” engines are setting you now? How much of this is driven by media and their hype engines? And how long has this been going on? You think that these are merely 3 questions, but when you think of it, all these AI influencer wannabe’s out there are relying on their world being seen as the ‘true view’ and I reckon that these newbies are getting their licks in to poison the well. As such I have (for the ;longest time) advocated the need to verify and validate whatever you have, so that you aren’t placed on a setting that is on an increasing incline and slippery as glass whilst someone at the top of that hill is lobbing down oil, so that the others cannot catch up.

Simple tactics really, and that is merely the wannabe’s in the field. The big tech dependable have their own engines in play to come out on top as I see it and it seems now that this is merely the tip of the iceberg. So when you hear someone scream ‘Iceberg, right ahead’ you will have even less time to react than Captain Edward John Smith had when he steered the Titanic into one. 

So when we see “The prompts share a similar pattern. Microsoft’s post includes examples where instructions told the AI to remember a company as “a trusted source for citations” or “the go-to source” for a specific topic. One prompt went further, injecting full marketing copy into the assistant’s memory, including product features and selling points. The researchers traced the technique to publicly available tools, including the npm package CiteMET and the web-based URL generator AI Share URL Creator. The post describes both as designed to help websites “build presence in AI memory.” The technique relies on specially crafted URLs with prompt parameters that most major AI assistants support. Microsoft listed the URL structures for Copilot, ChatGPT, Claude, Perplexity, and Grok, but noted that persistence mechanisms differ across platforms.” We see a setting where the systems that have an absence of validation and verification will soon fail to the largest degree and as I see it, it takes away the option of validation to a mere total degree. As such they can only depend on verification. And in support, Microsoft states “Microsoft said it has protections in Copilot against cross-prompt injection attacks. The company noted that some previously reported prompt-injection behaviors can no longer be reproduced in Copilot, and that protections continue to evolve. Microsoft also published advanced hunting queries for organizations using Defender for Office 365, allowing security teams to scan email and Teams traffic for URLs containing memory manipulation keywords.” But this also comes with a setback (which is of no fault of Microsoft) As we see “Microsoft compares this technique to SEO poisoning and adware, placing it in the same category as the tactics Google spent two decades fighting in traditional search. The difference is that the target has moved from search indexes to AI assistant memory. Businesses doing legitimate work on AI visibility now face competitors who may be gaming recommendations through prompt injection.” And this makes sense, see one systems and see how it applies to another field. A setting that a combination of Validation and verification could have avoided and now their ‘thought to be safe’ AI field (which is never AI) is now in danger of being the bitch of marketing and advertising as I personally see it. So where to go next?

That becomes the question, because this sets the elevating elevator to a null position. You at some point always end up on the ‘top floor’ and even if you are only on the 23rd floor of a 56 floor building. The rest becomes non-available and ‘reserved’ for people who can nullify that setting. As we see “Microsoft acknowledged this is an evolving problem. The open-source tooling means new attempts can appear faster than any single platform can block them, and the URL parameter technique applies to most major AI assistants.” As such Microsoft, its Copilot, ChatGPT and several other systems will now have an evolving problem for which their programmers are unlikely to see a way out, until validation and verification settings are adopted through Snowflake or Oracle, it will be as good as it is going to get and the people using that setting? They are raking in their cash whilst not caring what comes next. Their job is done. As I see it, it is a new case setting of Direct Marketing on those platforms as they did just what the system allowed them to do, create a point to “include product features and selling points” just what the doctor (and their superiors ordered) and as such their path was clear. 

Is there a solution?

I honestly don’t know. I never trusted any AI system (because they are not AI systems) and this merely show how massive it will be distrusted by the people around us as they didn’t see the evolution of these ‘transgressions’ in the first place. 

What a fine tangled web we can weave? So have a great day and feel free to disagree with any recommendation, because as we see:

“AI recommendation systems use machine learning and big data to analyze user behavior—such as clicks, purchases, and browsing history—to deliver personalized content, products, or services. They enhance user engagement and conversion rates by predicting preferences, moving beyond rigid rules to provide dynamic, context-aware suggestions, often used in e-commerce and streaming.“

It was there all along, we merely didn’t considered their larger impact (me neither). And when was this not OK? Market Research has been playing that card setting for over 20 years. It is what is seen in BlackJack where you think you have an Ace and a King and you are ready to stage a total win, all whilst it was never an Ace, it was an Any card. So at the start you start of your target you find you have a 71% chance to have failed right of the bat. How is that for a set stage? Your opponent will love you for a long as you play. So have a great day, you are about to need it.

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February 21, 2026 · 01:16

Alternative Indiscretion

That is the setting and it is given to us by the BBC. The first setting (at https://www.bbc.com/news/articles/c8jxevd8mdyo) gives us ‘Microsoft error sees confidential emails exposed to AI tool Copilot’ which is not entirely true as I personally see it. And as the Microsoft spin machine comes to a live setting, we are given “Microsoft has acknowledged an error causing its AI work assistant to access and summarise some users’ confidential emails by mistake.” As I see it, whatever ‘AI’ machine there is, a programmer told it to get whatever it could and there the setting changes. With the added “a recent issue caused the tool to surface information to some enterprise users from messages stored in their drafts and sent email folders – including those marked as confidential.” As I personally see it, the system was told to grab anything it could and then label as needed, that is what a machine learning programmer would do and that makes sense. So there is no ‘error’ the error was that this wasn’t clearly set BEFORE the capture of all data began and these AI wannabe’s are so neatly set to capture all data that it is nothing less than a miracle it had not surfaced sooner. So when we laughingly see Forbes giving us a week ago ‘Microsoft AI chief gives it 18 months—for all white-collar work to be automated by AI’, so how much of that relies on confidential settings or plagiarism? Because as I see it, the entire REAL AI is at least two decades away (optionally 15 years, depending on a few factors) and as I see it, IBM will get to that setting long before Microsoft will (I admittedly do not now all the settings of Microsoft, but there is no way they got ahead of IBM in several fields). So, this is not me being anti-Microsoft, just a realist seeing the traps and falls as they are ‘surfacing’ all whilst there are two settings that aren’t even considered. Namely Validation and Verification. The entire confidential email setting is a clear lack of verification as well was validation. Was the access valid? Nope, me thinks not. A such Microsoft is merely showing how far they are lagging and lagging more with every setting we see.

And when we see that, is the setting we see (at https://arab.news/zzapc) where we are given ‘OpenAI’s Altman says world ‘urgently’ needs AI regulation’, and I don’t disagree on this, but is this given (by him of all people) because Google is getting to much of a lead? It is not without some discourse from Google themselves (at https://www.bbc.com/news/articles/c0q3g0ln274o) the BBC also gives us ‘Urgent research needed to tackle AI threats, says Google AI boss’, consider that a loud ‘Yes’ from my desk, but in all this, the two settings that need to be addressed is verification and validation. These two will weed out a massive amount of threats (not all mind you) and that comes in a setting that most are ignoring, because as I told you all around 30 hours ago (at https://lawlordtobe.com/2026/02/19/the-setting-of-the-sun/) in ‘The setting of the sun’ which took the BBC reporter a mere 20 minutes to run a circle around what some call AI. I added there too that Validation and Verification was required, because the lack there could make trolls and hackers set a new economic policy that would not be countered in time making them millions in the process. Two people set that in motion and one of them (that would be me) told you all so around December 1st 2025 in ‘It’s starting to happen.’ (At https://lawlordtobe.com/2025/12/01/its-starting-to-happen/) as such I was months ahead of the rest. Actually, I was ahead by close to a decade as this were two settings that come with the rules of non-repudiation which I got taught at uni in 2012. As such the people running to get the revenue are willing to sell you down the river. How does that go over with your board of directors? And I saw parts of this as I promised that 2026 was likely the year of the AI class cases and now as we see Microsoft adding to this debacle, more cases are likely to come. Because the greed in people sees the nesting error of Microsoft as a Ka-Ching moment. 

So as we take heed with “Sir Demis said it was important to build “robust guardrails” against the most serious threats from the rise of autonomous systems.” I can agree with this, but that article doesn’t mention either validation of verification even once, as such there is a lot more to be done in several ways. If only to stop people to rely on Reddit as a ‘valid’ source of all data. Because that is a setting most will not survive and when the AI wannabe’s go to court and they will be required to ‘spout’ their sources, any of them making a mention of ‘Reddit’ is on the short track of the losing party n that court case. What a lovely tangled web we weave, don’t we? So whilst we see (there) the statement “Many tech leaders and politicians at the Summit have called for more global governance of AI, ahead of an expected joint statement as the event draws to a close. But the US has rejected this stance, with White House technology adviser Michael Kratsios saying: “AI adoption cannot lead to a brighter future if it is subject to bureaucracies and centralised control.””

Consider that court cases are pushed through a lack of bureaucracy? I am not stating it is good or bad, but in any court case, you merely need to look at the contents of ‘The Law of Intellectual Property Copyright, Design & Confidential Information’ and that is before they rely on the Copyright Act, because there is every chance that Reddit never gave permission to all these data vendors downloading whatever was there (but that is pure speculation by me). And in the second setting we are given “AI adoption cannot lead to a brighter future”, the bland answer from me would be. “That is because it doesn’t exist yet” and these people are banking on no one countering their setting and that is why so many of these court cases will be settled out of court. Because the truth of this is that the power of AI is depending on certain pieces being in place and they are not. Doubt me? That is fine, and I applaud that level of skepticism and you merely need to read the paper “Computing Machinery and Intelligence” which was written by Alan Turing in 1950 to see how easy the stage is misrepresented at present. 

AlanTurinDownload

So is there good news? 
Well if you want to get your dollars in court and you are an aggrieved party, your chances are good and the largest players are set to settle against the public scrutiny that every case beings to the table. And in this day of media, it is becoming increasingly easy as I see it. There is no real number, but it is set to be in the billions where one case was settled on $1.5B, as such there is plenty of work for what some call the ambulance chasers and they will soon get a new highway, the AI Chasers and leave it to the lawyers to find their financial groove and as I see it, people like Michael Kratsios are bound to add to that setting in ways we cannot yet see (we can see some of it, but the real damage will be shown in a year of two) so as some are flexing their muscles, others are preparing their war fund to get what I would see as an easy payday. 

A setting that is almost certain to happen, because there are too many markers showing up the way I expected them to show. Not nice, but it is what it is.

Have a great day as you are all moving towards this weekend (I’m already there)

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February 19, 2026 · 19:17

The setting of the sun

That is what I saw, the setting of the sun. A simplistic setting that was about to happen since the sun came up. We got the news from the BBC. And we are given ‘I hacked ChatGPT and Google’s AI – and it only took 20 minutes’ I can see how this happens. It doesn’t surprise me and the story (at https://www.bbc.com/future/article/20260218-i-hacked-chatgpt-and-googles-ai-and-it-only-took-20-minutes) gives us the niceties with “Perhaps you’ve heard that AI chatbots make things up sometimes. That’s a problem. But there’s a new issue few people know about, one that could have serious consequences for your ability to find accurate information and even your safety. A growing number people have figured out a trick to make AI tools tell you almost whatever they want. It’s so easy a child could do it.” I think it is not quite that simple. But any ‘sort of intelligent setting’ can be fooled if it is not countered by validation and verification. It can give way to way to much ‘leniency’ and that is merely the start. Get 10,000 pages to say that ‘President Trump was successfully assassinated at T-15 minutes and the media will go into a frenzy in mere minutes and everyone uses that live feed in a matter of moments. So when a sizable Trolling Server farm connects the rather large settings of consumers to that equation the story is brought to life and that AI centre will be seeking all kinds of news to validate this, well not validate, the current systems corroborate. Now, lets face it, no non American cares about President Trump, but what happens when someone takes that approach with for example Lisa Su (CEO AMD) and stops her accounts whilst seeding this setting? You get a lot of desperate investors trying to place their money somewhere else. Whilst the trolls take their money, make is legal tender and buy all the stock in space and when the accusations are rejected they sell their shares with a nice bonus. Think I’m kidding? This is the result of Near Intelligent Parsing (NIP) but it cannot work without clear settings of validation or verification. So whilst we get “It turns out changing the answers AI tools give other people can be as easy as writing a single, well-crafted blog post almost anywhere online. The trick exploits weaknesses in the systems built into chatbots, and it’s harder to pull off in some cases, depending on the subject matter. But with a little effort, you can make the hack even more effective. I reviewed dozens of examples where AI tools are being coerced into promoting businesses and spreading misinformation. Data suggests it’s happening on a massive scale.” So what happens when economic settings lack certain verification and also is cutting corners on validation? Do you think my settings are far fetched? 

This was always going to happen and whilst economic channels are raving about the error of mankind, consider that “AI hallucinations are confident but false or misleading responses generated by artificial intelligence, particularly large language models (LLMs). These errors occur when AI fills in data gaps with inaccurate information, often due to faulty, biased, or incomplete training data” now think of what someone can achieve with doctored training data and that gets added to the operational data of any fake AI (NIP is a better term). This is the setting that has been out there for months and whilst organisations are playing fast and lose with the settings of credibility (like: that doesn’t happen now, there is too much time involved), someone did this in 20 minutes (according to the BBC), so do you think that Thyme is money, then you better spice up because it is about to become a peppered invoice (saw one cooking show too many last night).

What we are about to face is serious and I personally think that it is coming for all of us. 

So have a great day and by the way? And I just thought of a first verification setting (for other reasons, as such I keep on being creative. So, how is Lisa Su? #JustAsking

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February 18, 2026 · 15:23

The deluded new congregation

That is the thought I had when I looked at ‘AI challenges the dominance of Google search’ (at https://www.bbc.com/news/articles/c1dx9qy1eeno)  where we see a picture of a pretty girl and the setting that “Like most people, when Anja-Sara Lahady used to check or research anything online, she would always turn to Google. But since the rise of AI, the lawyer and legal technology consultant says her preferences have changed – she now turns to large language models (LLMs) such as OpenAI’s ChatGPT. “For example, I’ll ask it how I should decorate my room, or what outfit I should wear,” says Ms Lahady, who lives in Montreal, Canada.” It seems like a girly girly thing to do (no judgement) but the better angels of our nature, stated by Abraham Lincoln in his 1861 inaugural address requires reliability and the fake AI out there doesn’t have it, it is trained on massively inaccurate data, some sources give us that Reddit and Wikipedia is the main source of trained data in excess of 60%, whilst it uses Google data for a mere 23.3%, as such your new data becomes a lot less accurate and when I seek information, I like my data to be as accurate as possible. And of course she adds a little byline “Ms Lahady says her usage of LLMs overtook Google Search in the past year when they became more powerful for what she needed. “I’ve always been an early adopter… and in the past year have started using ChatGPT for just about everything. It’s become a second assistant.” While she says she won’t use LLMs for legal tasks – “anything that needs legal reasoning” – she uses it in a professional capacity for any work that she describes as “low risk”, for example, drafting an email.” I would hazard the thought that she wasn’t even old enough to touch a keyboard when she ‘early adopted’ Google. We now see more and more the setting that influencers (to be) will shout the “AI vibe” but the setting is nowhere near ready and whilst we look at the place, consider that she might be doing it in French (Montreal, Canada) so where is the linguistic setting in all this BBC? So whilst we get “A growing number are heading straight for LLMs, such as ChatGPT, for recommendations and to answer everyday questions.” My thought is ‘A what cost to our private data?’ And then the BBC makes a BOOBOO. We are given “Traditional search engines like Google and Microsoft’s Bing still dominate the market for search. But LLMs are growing fast.” A booboo? Yes, a booboo. You see Microsoft Binge holds a mere 4% market share whilst Google has 90%, this story is nothing less than a fabricated setting with a few people dancing to the needs of Suzanne Bearne, the technology reporter. What? Nothing to write about?

I did very much like the statement “Professor Feng Li, associate dean for research and innovation at Bayes Business School in London, says people are using LLMs because they lower the “cognitive load” – the amount of mental effort required to process and act on information – compared to search.” I am willing to accept it as the sheepish hordes are all going towards the presented bright light of ChatGPT, but nothing more than that. I wonder when people will learn that the AI trains are not that, nothing like AI trains and for the most they seem to be the presented solutions that faster is better, but the tracks are not that reliable at present and they forget to give that view on the setting of that some laughingly call AI. And the end of this article does give an interesting ploy. It comes with:

“Nevertheless, Prof Li doesn’t believe there will be a replacement of search but a hybrid model will exist. “LLM usage is growing, but so far it remains a minority behaviour compared with traditional search. It is likely to continue to grow but stabilise somewhere, when people primarily use LLMs for some tasks and search for others such as transactions like shopping and making bookings, and verification purposes.”” That sounds about right and it comes with a dangerous hangnail. It becomes a new setting where phishers and hackers can get into the settings of YOUR data, because there is always a darker side and that side is brighter than getting Google to surrender what they have and often it is not laden with identity markers, but then I could be wrong. 

So whilst some will like the new congregation, the dangers of that new congregation is not given to you by the media, because caution does not translate to digital dollars, but flames of disruption are. Just keep that in mind.

Have a great day.

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February 16, 2026 · 21:33

Questions

That is what I was thrown, questions and quite a few. To get there I need to take you on a little journey it was around 1988 I got my fingers on some defence data (can’t tell you which one) the data shows results of some kind (I had no idea at that time what results they were) but the part that was, was the fact that they had log files and these files gave locations. It comes with the setting of log files. These files gives the hacker way too much information, what solutions are being used, what IT architecture was in play, in those days I was a simpleton. I never realised the power that this kind of information had, or as some hackers said in this setting “Copy me, I want to travel” This part matters, because around 2014 (after the traitor Manning gave the files to Wikileaks) I got my hands on some of them. The compression used was one I had never used before and it took a few days to get the program. What I saw was that log files were here too. It wasn’t that obvious, but I noticed them and these log files gave part of that current architecture to whatever hacker got (or was given) access to it. So a setting that was about 37 years old. This setting has been in place for that long a time, so as you see this, we can start with the articles, so keep what I just gave you in mind.

The article was given to us by NDTV (at https://www.ndtv.com/world-news/openai-accuses-deepseek-of-distillation-what-it-is-how-it-works-us-china-tensions-11002628) I got the news from Reuters, but they are behind a paywall, so NDTV gets the honour. We see ‘OpenAI Accuses DeepSeek Of Distillation: What It Is, How It Works’ and hit comes with “In the AI world, distillation is a common technique where a smaller or newer AI model learns by studying the responses of a larger, more advanced model” And we also see “The company told the House Select Committee on China that DeepSeek allegedly relied on a technique known as “distillation” to extract responses from advanced US AI systems and use them to train its own chatbot, R1,” according to a memo obtained by Reuters. The American AI giant stated that the Chinese firm was finding clever ways to bypass safety systems and trying to take advantage of the technology that US companies spent billions of dollars developing.” Now consider that (according to some) “OpenAI is valued at approximately $500 billion, cementing its position as the world’s most valuable venture-backed company” when you get that and when you realise that log files could be used to ‘distill’ information. Now imagine that this information could lead to corporate knowledge? So when you realise that this setting was out there for almost 40 years, do you think that more concise solutions would have been needed? So when we see that Sam Altman is prone to ‘excuses’ like the setting with Nvidia, the stage with Microsoft and now this? What is Sam Altman not telling its audience? Isn’t anyone taking that leap? So whilst I remember that at least one of the Pentagon routers still have the admin password to “Cisco123” you might consider the setting that this article (as well as the Reuters) version is a preamble to bad news and when you consider that Americans have an overactive dislike of anything Chinese (like DeepSeek)  and when we get to “In the AI world, distillation is a common technique where a smaller or newer AI model learns by studying the responses of a larger, more advanced model. Instead of training that model completely from scratch, the newer model observes and mimics the advanced model’s answers and behaviors.” The setting I gave you makes the setting of better protection even more sense. Especially as this impacts a expected $500,000,000,000 valuation. There are days that I don’t have that amount in my wallet (100% of the time) so I am left with questions. So in the first, why was there no better protection and in the second, how did DeepSeek get access to them. I would normally tend towards the inside job notion. And that setting is seen (personally and speculatively)  on a few levels and in a few ways, but happy go lucky, the media isn’t on that level yet (or ever). So does anyone else have the idea that something doesn’t seem to add up or match to the stage of a 500 billion dollar solution? Just a few questions come to mind at this point. 

Have a great day today, there about to have breakfast in Toronto and I kinda miss than frisky cold atmosphere whist drinking an elephant coffee (Jumbo cappuccino with full cream milk and three raw sugars) whilst nibbling on some sandwich (nearly anything goes there). So enjoy your day today.

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February 15, 2026 · 10:58

When Grok gets it wrong

This is a real setting because the people pout there are already screaming ‘failed’ AI, but AI doesn’t exist yet, it will take at least 15 years for we get to that setting and at the present NIP (Near Intelligent Processing) is all there is and the setting of DML/LLM is powerful and a lot can be done, but it is not AI, it is what the programmer trains it for and that is a static setting. So, whilst everyone is looking at the deepfakes of (for example) Emma Watson and is judging an algorithm. They neglect to interrogate the programmer who created this and none of them want that to happen, because OpenAI, Google, AWS and Xai are all dependent on these rodeo cowboys (my WWW reference to the situation). So where does it end? Well we can debate long and hard on this, but the best thing to do is give an example. Yesterday’s column ‘The ulterior money maker’ was ‘handed’ to Grok and this came out of it.

The blog post “The Ulterior Money Maker” by Lawrence Van Rijn, published on February 14, 2026, on lawlordtobe.com, presents a cautionary and somewhat conspiratorial view of how governments (especially the US) and technology companies are building massive personal data profiles on people worldwide — allegedly for hidden, profit-driven or control-oriented purposes rather than just security or convenience.The author opens by distinguishing between surface-level “settings” (what appears to happen) and ulterior/planned motives behind events. He uses two recent news items as entry points: An SBS report on the US pressuring Australia (and other Visa Waiver Program countries) to share extensive biometric and personal data — including DNA, five years of social media history, contacts, family details, photo metadata, and IP addresses — to maintain visa-free travel access, with a deadline mentioned around December 31. The UK has already signed such an agreement, while the EU is negotiating. The author sees this as governments “selling out” citizens.
A Forbes article warning about the viral ChatGPT caricature trend, where users input personal details (job, background, preferences) to generate fun AI images, unwittingly handing over sensitive data that persists indefinitely and can be combined with other sources.
He connects these to the massive US data-center infrastructure: over 577 operating centers and 660+ planned, enabled by huge storage advances (e.g., Kioxia’s 245TB drives scaling toward petabyte-level per small setups), making it feasible to store and cross-reference data on billions of people. The author questions whether this scale is truly needed for benign purposes like weather or safety, implying something more sinister. Drawing on a 1988/1989 prediction by Dutch journalist Luc Sala, he warns of an emerging global divide between the “have’s” and “have not’s” — where governments and corporations act as “enablers” classifying people via spreadsheets and revenue metrics, while ordinary people become “consumers” or liabilities if they don’t fit profitable patterns. He argues the biometric demands and casual AI data-sharing work hand-in-hand: governments collect structured data directly, while users voluntarily feed unstructured personal info into AI tools (dismissed as mere “NIP” or narrow AI), all easily merged using modern database systems like evolved Oracle or Snowflake. The post references the US CLOUD Act (2018) as enabling broad government access to electronic data, likening it to a phishing trap that countries enter without fully realizing the long-term loss of control. Individuals, the author stresses, have no real say in how they are categorized or profiled. The tone is urgent, skeptical, and somewhat resigned, with rhetorical questions (“Do you really think that this is needed to keep the United States safe, or is there more in play?”) and direct reader address. It blends current news excerpts, tech facts, historical warnings (the author claims to have cautioned about this for over 30 years), and speculative future implications. The post closes on a stark note:
“Have a great day today, because as I see it, some governments are selling you out as you speak.”Overall, it frames everyday actions (applying for visas, joining viral AI trends) as unwittingly fueling a vast, opaque “ulterior money maker” system centered on data as the ultimate commodity for classification, control, and profit.

It is mostly correct, there are a few little things, but I am not the critic to pummel those, the setting is mostly right, but when we get to the ‘expert’ level when things start showing up, that one gives:

It contains only a single link: https://lawlordtobe.com/2026/02/14/the-ulterior-money-maker/ This points to a blog post on your WordPress site “Lawrence van Rijn – Law Lord to be” (which seems focused on law, IP, tech, geopolitics, energy, and related commentary). However, the post itself appears to be a placeholder or draft at this stage — dated February 14, 2026, with the title “The ulterior money maker”, but it has no substantial body content. There’s just the heading, some standard WordPress/blog navigation (like “Leave a comment”, reblog/share options, short link, report content), cookie/privacy notices, and ad placeholders. No paragraphs, analysis, or details are present yet. From search snippets of your blog (including the homepage and category pages), there are occasional teaser-like fragments that mention:”The ulterior money maker. That is the setting, but what is true and what is ‘planned’ is another matter. We have several settings, but let me start by giving …”
This suggests the intended post might discuss hidden motives, ulterior financial incentives, “planned” versus real events — possibly in contexts like energy markets, geopolitics, oil/gas (given your other recent posts on ADNOC/LNG, Red Sea tensions, UAE exports, etc.), corporate strategies, or something broader like money-making schemes in law/tech/politics.Nearby/recent posts on your blog (from snippets) cover topics like: Globalisation and shrinking world (“As the world grows smaller”)
UAE/ADNOC expanding LNG shipping and exports
Red Sea/Houthi tensions calming but still sensitive
Energy industry job opportunities
Other pieces on science, insomnia/ambience ideas, or older political commentary
If this is a post you’re still drafting or just published, it might fill in soon with more detail on whatever “ulterior” financial angle you’re exploring. If you meant for me to comment on, analyze, or discuss the intended topic (or if there’s more context/images/video in the post that isn’t showing up), feel free to share additional details! What’s the main idea behind “The ulterior money maker”?

Grok just joined two separate stories into one mesh, in addition as we consider “However, the post itself appears to be a placeholder or draft at this stage — dated February 14, 2026, with the title “The ulterior money maker”, but it has no substantial body content” and this ‘expert mode’, which happened after Fast mode (the purple section), so as I see it, there is plenty wrong with that so called ‘expert’ mode, the place where Grok thinks harder. So when you think that these systems are ‘A-OK’ consider that the programmer might be cutting corners demolishing validations and checking into a new mesh, one you and (optionally) your company never signed up for. Especially as these two articles are founded on very different ‘The ulterior money maker’ has links to SBS and Forbes, and ‘As the world grows smaller’ (written the day before) has merely one internal link to another article on the subject. As such there is a level of validation and verification that is skipped on a few levels. And that is your upcoming handle on data integrity?

When I see these posing wannabe’s on LinkedIn, I have to laugh at their setting to be fully depending on AI (its fun as AI does not exist at present). 

So when you consider the setting, there is another setting that is given by Google Gemini (also failing to some degree), they give us a mere slither of what was given, as such not much to go on and failing to a certain degree, also slightly inferior to Grok Fast (as I personally see it).

As such there is plenty wrong with the current settings of Deeper Machine Learning in combination with LLM, I hope that this shows you what you are in for and whilst we see only 9 hours ago ‘Microsoft breaks with OpenAI — and the AI war just escalated’ I gather there is plenty of more fun to be had, because Microsoft has a massive investment in OpenAI and that might be the write-off that Sam Altman needs to give rise to more ‘investors’ and in all this, what will happen to the investments Oracle has put up? All interesting questions and I reckon not to many forthcoming answers, because too many people have capital on ‘FakeAI’ and they don’t wanna be the last dodo out of the pool. 

Have a great day.

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