Tag Archives: DML

Is it the water level?

Yup, we are all in that setting, but are we merely waving to the music of Debbie Harry or are we watching the waves from the shorelines. That is merely two options, but when some say that the tide is high, they might be referring to bubbles, the AI bubble to be more precise. I am not some economist saying that bubbles are blasphemy and I am no economist, but I have looked at numbers for decades and the numbers we are given do not add up, and when I was watching Inside Job something hit me, there was a familiar pattern evolving, not evolving, repeating is a better word and I have been saying this for some time. Yet today, a mere 10 minutes ago I see ‘UK Places Microsoft, Google, Amazon And Oracle Under Financial Oversight’ (at https://www.businesstoday.com.my/2026/07/10/uk-places-microsoft-google-amazon-and-oracle-under-financial-oversight/) where we see “The UK has placed Microsoft, Google, Amazon and Oracle under direct regulatory oversight after designating the cloud service providers as critical third parties to the country’s financial system. Reuters reported that effective July 13, the designation covers Microsoft Ireland Operations Ltd, Google Cloud EMEA Ltd, Amazon Web Services EMEA SARL and Oracle Corporation UK Ltd, reflecting the financial sector’s growing dependence on cloud infrastructure”, so whilst the story ends with “The designation will bring the four technology firms under direct regulatory oversight as part of efforts to safeguard the stability and continuity of the UK’s financial sector.” And it comes after we were given (at https://m.au.investing.com/news/stock-market-news/oracle-stock-shrugs-off-sp-downgrade-to-bbb-but-120b-debt-shadow-looms-4526441) where we see ‘Oracle stock shrugs off S&P downgrade to ’BBB-’, but $160B debt shadow looms’ where we see “Oracle Corp. (NYSE:ORCL) shares managed to gain 2.7% on Thursday, defying a credit rating downgrade from S&P Global Ratings. While shares edged slightly lower from their midday highs, the tech giant still traded firmly in positive territory. Investors chose to focus on Oracle’s staggering $638 billion backlog of cloud contracts rather than the immediately apparent threat to its balance sheet: S&P downgraded Oracle’s long-term issuer credit rating to ’BBB-’ from ’BBB’, retaining a stable outlook.

Now, I am not having anything against Oracle. They have always been on the foreground of technology and innovation in its field and it is unlikely to ever change. But there is a larger setting, the entire AI bubble as I see it, it will hit them too. They all over invested in that setting and they are likely the biggest catchers of the implosion of that event. But I am still in arms over ““The official position of the Secretary and the U.S. Treasury is that Artificial intelligence will be a key driver of America’s new Golden Age,” the spokesperson said. “AI has the potential to deliver unprecedented productivity gains, expand economic opportunity, and empower American workers and businesses.”” You see, there is no golden age, there is no AI, not yet at least. There is DML and LLM and they are great, they can hand innovation and prosperity in several ways. It merely isn’ AI and that needs to be said, because soon the class actions will go for the “It’s AI and we cannot really predict what AI does” but it isn’t, it is DML and that requires a programmer, it requires data and these two hinder stones are the backdrop for prosecution. Only last week we were given ‘Anthropic Faces a New $75 Million Lawsuit for Pirating Books to Train Claude AI’ and less than 24 hours ago Harvard Business Review ‘You Outsourced the AI—but you still own the risk’ where we see “As enterprises increasingly embed third-party systems into their workflows, technological risk has led to new legal and operational responsibilities. Leaders may have little visibility into how a model was trained or how it changes, yet when it discriminates, mishandles data, or harms a customer, regulators and plaintiffs often look first to the company that deployed it. Peloton learned how that exposure can arise. Visitors to its website see a familiar invitation to “chat,” powered by a third-party vendor. According to a class-action complaint, the vendor recorded and stored conversations and used the data to improve its machine-learning models. Peloton neither built nor trained the system. Even so, a California federal judge allowed a claim against the company to proceed. The parties later jointly dismissed the case, without publicly disclosing the terms.

Now consider the amalgamation of these factors (apart from some saying there is no bubble) there is (allegedly) “Worldwide spending on AI is forecast to reach $2.5 trillion. Venture capital and private corporate investments in AI firms sit near $258.7 billion globally, with over $750 billion in dedicated infrastructure and data center capital expenditure from major tech hyperscalers” we then see that the big players (Microsoft, Google, Amazon, Oracle) are basically overextended, facing class actions and all of them are looking at all sorts of financial hardship, because at some stage all these players will be made to rephrase the simple truth that AI is not DML/LLM, it requires more and when the programming is put under a loop that setting comes crashing down. I saw it two years ago that this is the only outcome in some sales people overselling what they had and the simplest setting is not a mere Quantum computer. It requires shallow circuits and what I tend to call The Epsilon processor. True AI cannot exist in a binary setting. The last one is my interpretation of it all and some might disagree. But the Epsilon processor allows for Null, False, True, Both and it is the Both part that makes true AI possible and of course a matching operating systems will be required as well a data carrier and in that case Oracle and Snowflake have the grounds for success. As I see it, all others will fall behind these two. 

And last month we were given that “400 newspapers sued OpenAI and Microsoft for scraping their content without permission or compensation to train artificial intelligence programs” even my data has been scraped. So how many will be successful? How many will fail? I have no idea, but the odds are decently stacked against these salespeople. And as the courts rule against these Fake AI bringers (as I see it) there will be a rush of people making a case, all who were sold AI (without clear DML/LLM settings in their contracts) are seeing their pupils transform into dollar signs and they will try to clean house. So when all these settings happen, is the stage for a bubble that far fetched? 

I am watching and watching and noting what is due. I reckon that at some point I get the one piece of evidence that will allow me to do just that, 2700 (out of nearly 4000) article scraped seemingly give me an optional case for some dollars (five million plus would be great). And I am not the greediest player in town. So at what point will the investors of $2.5 trillion ring the bell wanting to see payment for their investments? Goldman Sachs gave us last month ‘The AI Investment Boom: When Will It Pay Off?’ With “The economics of artificial intelligence are more questionable today than two years ago, says Goldman Sachs Research’s Jim Covello, as enterprise buyers, model companies, and hyperscalers have yet to show returns on their spend. In a conversation with Alison Nathan and George Lee on Goldman Sachs Exchanges, Covello discusses where we’ve seen economic value accrue to date and why semiconductor companies can’t continue to be the sole beneficiaries of the AI buildout.” As such we see people with serious economic skills worrying and wondering what comes next and I was there at least a year ago. So when will others see the doubt that I am seeing? The money people call the bubble a blasphemy, but they have vested interests. I do not. I merely see the flaws on technology that is at least 15-20 years away, data that is largely unvalidated and unverified and at this juncture people are investing trillions? Makes me all tingly that too many people are greed driven and too much vested to be part of a boom that does not exist, just like the settings of 2008, Inside Job showed that clearly and it seems that we have a similar setting evolve at least two times the previous caper. So if you consider that with all the reserves that hit took the economy 2 decades to fix and at present the reserves are gone, so what will happen now? Why aren’t others taking the stand the UK is making? Because others are in the believe that “America’s new Golden Age” is here? When you realize that it will take close to two decades to arrive, how long until too many investors pull the plug and go somewhere else? What will happen then? That is what I see coming, because at some point more and more people wake up, this is bound to happen, it always does.

So is the water high enough? Have a great day.

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History marks arrived

That is what I see, there are two settings. The first one was not new, it was three weeks old when I saw (at https://www.wired.com/story/a-court-has-ruled-that-google-is-liable-for-false-statements-generated-by-ai-overviews/) ‘A Court Has Ruled That Google Is Liable for False Statements Generated by AI Overviews’ it is not entirely undeserved, but it also sets Google up for people fleecing them, so some will ‘cater’ to the need of supporting a setting that set Google up for a trap. We cannot see this directly from “Germany has issued a ruling that could reshape the operation of search engines and artificial-intelligence-based chatbots worldwide. The Munich Regional Court preliminarily ruled that Google is liable for a series of false statements generated by its AI Overviews feature, requiring the company to prevent the dissemination of erroneous or inaccurate claims through its search engine.” So, whilst some will cater to the need of false feeing that search engine, we are left with a more than slightly vulnerable Google. Whilst we see (at https://www.rmit.edu.au/about/schools-colleges/media-and-communication/industry/rmit-information-integrity-hub/the-repost/june-2026) ‘Should AI be liable for its mistakes? A German court says yes.’ Where we see “Jeannie Paterson, a law professor and co-director of the Centre for AI and Digital Ethics at the University of Melbourne, said the decision was “potentially very important” and could have ramifications for Australian consumers. The decision hinged on who is responsible for the content of AI search results. The law has traditionally considered social media platforms and search engines to be mere conduits for information, Professor Paterson told The Repost, meaning companies “only become liable if they knowingly participate” in sharing information that proves to be wrong.” I personally believe that Professor Paterson is setting up loaded dice. You see, in the first AI does not yet exist. And the second part is “who is responsible for the content of AI search results”, that answer has two stages. The first is the programmer who ‘created’ the analytical setting of predictive analytics, because that is part of any DML/LLM setting. It is not AI. And that data is also a side, because there is a massive failure of validation and verification. We see it all the time and whilst some are ‘whisking’ it away through ‘hallucinations’ I have seen the Grok side of things on data that I created and it take all without any reference other stories I had written, as such we see a programming failure. And through that the stage of “who is responsible” gets a new life and makes the water pretty murky.

That is what I see. And anyone saying I am wrong can take a long walk of a short pier. As I saw that, another stage was handed to me.

Last week we were given ‘Ford rehires human engineers after AI fails to match quality checks’ (source: BBC), this is not new, I saw this coming a mile away and I present (as pseudo evidence) ‘Is it more than buggy?’ (at https://lawlordtobe.com/2024/01/05/is-it-more-than-buggy/) and I wrote that story in January 2024 (over 2.5 years ago), as such it should count as evidence and I gave the clear settings of “On May 27th 2023 the BBC reported (at https://www.bbc.com/news/world-us-canada-65735769) that Peter LoDuca, the lawyer for the plaintiff got his material from a colleague of his at the same law firm. They relied on ChatGPT to get the brief ready.” Which now intersects with the AFR (at https://www.afr.com/work-and-careers/workplace/ai-use-in-dismissal-claims-borders-on-contempt-of-court-judge-warns-20260705-p60cob) ‘AI use in dismissal claims borders on contempt of court, judge warns’ and considering that this failures car in May 2023 when the BBC reported on this, we see a larger immature failure of other branches as well. You see, that it was tried is OK, and it failed three years ago, as such others should have stopped this as soon as they came aware. These settings all intertwine, because validation and verification is all part of these failures. As I see it, they were never made. I would be in favour of a separate tier of verifying all it produces, and these sources need to be validated. As such “after one claimant’s chatbot cited large swaths of evidence that did not exist, in a case showing the technology bedevilling the workplace umpire is now hitting the courts.” So, evidence that did not exist, where have I seen that before? (Small giggle inserted afterwards). This is why I feel that my services n technical support and customer service will be needed soon enough. When Fake AI fails to this degree. It is one small step for the AI agent to tell the customer “just press the carrier online button on the right side of your device” for this to fail and when that happens a few times, these ai agents will be pushed into the land of the Dodo soon enough. And that (until there is an actual AI) with proper validated and verified data is where that agent remains. You see, it was never rocket science. Some sales person saw the DML/LLM setting and started to call it AI, but Alan Turing had some clear settings on it all and this is not it. I believe in DML/LLM solutions, I saw an amazing application for lost and found in an airport reducing days in optionally less than an hour and there are more, but it is the, not AI, no matter how sweet they mention AI, it is the trap the salespeople set up and now that the class actions are setting in all kinds of field and personally I keep a high note on ‘Unauthorised Training Data’ and ‘AI washing’, whilst an alleged Anthropic settled for $1.5 billion for using pirated books to train its Claude AI model, I see my data transgressed upon and whilst some state that this is $1.5M per work, I was transgressed over 1700 times, as such I should be a billionaire (we can all dream can’t we?) But clearly I am not on that setting yet (to be clear I just confirmed with my wallet and my wallet is moaning due to a lack of green bills of $100. 

All these factors add up and whilst some are already seeing the lack of data, the lack of verification and the lack of validation. There is an overdue stage of properly aligning the settings we should be seeing. And that is why the class actions continue and whilst some will whip them away in settlements. And whilst we wonder why it took so long (over 3 years) for law firms to see that stage, we will see a lot more, because as I see it, the law interns believe that true time savings could be made with any ChatGPT/Claude the reality is slightly different and soon these clients will set up clauses that no AI is to be used and that is the larger failure in all this. So whilst Ford saw their failings in the early age, big software firms  aligning with what they call AI Agentic solutions will soon learn the price of that failure. And this is not just Microsoft, this is likely to effect all large software vendors. As such thousands will be hired once more and some who were pushed out in a slightly disgusting way will seek any other employment, as such these ‘embracers of Fake AI’ as I tend to call them will have a new problem and employment agencies are no longer able to get any, some who used their Agentic solutions from day one. And the fallout is soon spreading all over the world. So as I have seen these markers all over 2025, I see opportunity (for myself) and other technical support people in 2026 and 2027. The question for these firms becomes, did they treat their support people proper, or were they (as the teams goes) ‘dicks in reducing their staff members’ in this I love the quote from Walter Mitty (Ben Stiller) “This thing that you do, Ted, where you come into a place and push people out, you should know those people worked really hard to build this magazine. They believed in the motto. And I get it, you’ve got your marching orders and you have to do what you have to do, but you don’t have to be such a d*ck. Put that on a plaque and hang it at your next job.” And those who loved the part Ted Hendricks (Adam Scott) played in all this, because he was so managemently will now have a much larger problem, because I am still in contact with buddies who did my job 30 years ago and we all talk. So they now are unlikely to find anyone. So whilst they are learning that all AI is Fake AI and they could wait for for 2 decades (for True AI), but their KPI based is not that long, they now have a problem. And the is all before they figured that all data required revalidation, verification and attune it to a newer system, the markets will suddenly experience the bubble setting, that according to SoftBank CEO Masayoshi Son, who called the current artificial intelligence boom a “bubble” is an insult will be forced to do an about turn on that setting, of course those investors will have faced the write off if trillions, so they are unlikely to send Masayoshi Son a Christmas card in 2028, but that is merely my view on the matter. 

What matters is that is that these evangelists and influencers screaming “AI” are about to be found out as the new evil. There is also the groups that properly set the AI field in a DML/LLM setting, and they will be OK. If they had properly prepared their customers and aligned them with what is, I reckon that they will be OK (still a personal view on the matter).

So where are we now?
As the news is giving us more and more failures, more and more about turns from larger companies. We are seeing what could become the implosion of that bubble. The problem is that is will not implode all at once (some are unable to survive that), it is more likely then not to manifest itself as group implosions. Not all at once, but (for example) 10 explosions of 10% and when they are apart enough, some of the larger player will survive. In one setting when these judges consider that this setting was going on from 2023, making the decision that all AI assessed briefs are regarded as “clear contempt of court” we see that it would become a setting of staggered failures and when the time between these events are enough apart, the write off is optionally limited, but that is me just hoping for a reduced heartache. It is unlikely to affect me, but hoping for the worst setting is just uncivil. 

There was actually more, but I am somewhat exhausted and I have written part f all this before, just browse through my blog. I am still in a setting where I want to see who used my blog for scraping and AI washing. I doubt if I will ever find evidence that holds up in court, but with a (massively delusional) $2.55 billion which was 1700 times 1.5M at stake, one might be willing to waste a few hours on this. Anyway time for men to continue a written adventure in Abu Dhabi, time for more there too.

Have a great day. 

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Pure Speculation

That needs to be said right from the start. It is  massively speculative, but the mind of greed driven American is essentially easy, their actions can be predicted, no predictive model required. The American corporation LinkedIn had seemingly driven itself in a hard sell. You see, they need data and with this administration they are considering that the bully tactics are seemingly working. You see every Thursday there is a roundup of your data and they have given that allegedly a twist. Apparently all data was lost, wiped or whatever they tend to call it. I reckon that some person there is giving the people the “our faulty AI had a glitch”, but I know that AI does not exist, it is all Deeper Machine Learning with additional LLM combined into predictive modeling.

My speculative version is that they will come with some “We fixed it in out premium setting. You know the first month is free, no cost to you”, but there is a glitch, you need to enter credit card details and that is what they are allegedly after. Data is power and Credit card details give them a lot of verifiable data, non refutable data and Yanks are hungry for data, especially as Europe and the Commonwealth are closing data taps. As I see it, these American corporations are seeing the end of their lifecycle and their existence is the balance, as such they need more verifiable data.

So could I be wrong?
Definitely, but the wiping of your result data can (as I personally see it) only defined by two options and optionally both options. The first one is that LinkedIn has enabled ghosting for some corporations that are ready to pay a premium plus subscription. They look at a person and then they wipe that data of their visit, optionally wiping a little too much, because one entry is hard to hide, but wiping the entire batch of data one account had at least 6 visits in the last week, but the recall only shows one visit and when you look at “Top companies your searchers work at” you get zero results, so that is an option. With 1156 all appearances in the last 7 days (-76%) and 1 search appearance (0%) in the last 7 days , so its own systems are already breaking each other alibi in the process.

I am more for the second setting, They are hungry for financial data and whilst the service is free in the first month, the moment they have these details they can combine and match that data to supermarket data, to retail data and a footprint is created. A predictive model of where the people are headed to. That is financial power, enabling the have’s to the have not people. This is a term from Dutch Journalist Luc Sala who gave us that in the 90s. And now we see that enablement in a much larger proportion. 

So in all I could be wrong and you can decide for yourself. Consider if you re a LinkedIn user if your data was ‘accidentally’ wiped and you left it to the side because you have more important things to worry about. In the end, I have my suspicions but let it be known just of the bat. I have no evidence, merely indicators and it is all pure speculation. But in the trend of freedom of speech I can put it here. I also believe in accountability, so I am giving the clear speculation vibe, because anything else needs evidence and whilst I have some evidence, sit might not be enough to cut the mustard and that needs to be known as well.

So have a great day today and consider that your autumn (November – April) could be spend in WaterWorld (Abu Dhabi) they just got another Guinness World book record in their name, they now have 55 slides and 15 other stages in their park (like the Al Raha River and the Bandit Bomber roller coaster) to name but two. You could make your neighbours jealous by coming back towards Christmas with a nice tan, did I mention that the UAE is a zero tax nation, the best place for getting the gifts at a massive discount.

Until next time.

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Ehhh Eye Vee Vee

Yup that is the setting I found myself in, but I need to explain it via a small detour. This is not about that bubble, it is about something that will instigate that bubble and the businesses ad corporations that are in the setting that they are pushed into. As I see it, it benefits me, but about that later. So I saw a few articles pass by, the first one being (at https://www.abc.net.au/news/2026-06-30/ai-boom-big-tech-investment-drain-market-volatility/106857426) where we see ‘Are the wheels falling off the AI investment boom?’, the article is average, but there was one part that stopped me in my tracks. It started with “Huge amounts of investment, trillions of dollars, have been thrown at AI, initially into model development, then semiconductor and cloud computing and now into hard asset build-outs with data centres. They, in turn, require vast amounts of energy and water. And that’s where the newest set of problems begin.

While the race to develop the technology has been a sprint, little thought has been given to the problems and constraints associated with the rollout. Now, suddenly, the brakes are being applied.” With gives us the added “The tech giants funded the early stages of AI development with the vast amounts of cash they were throwing off their existing operations. The more they spent, the more investors loved them. But their vast capital requirements combined with rapidly rising costs have forced them to tap credit markets. Instead of spare cash, they’re now raising debt, which ramps up the risks dramatically. And it’s only likely to increase. Research firm Gartner estimates global AI spending will hit $US2.6 trillion this calendar year, while Goldman Sachs estimates a further $US7.3 trillion will be spent by the end of the decade, much of it on data centres. And that’s the problem, according to Swissquote’s Ipek Ozkardeskaya. “These huge investments are also draining big tech’s free cashflow, obliging companies to take on more debt and putting their valuations under pressure,” she says.” The one takeaway is “more debt and putting their valuations under pressure” so why the rest? Well it is a decent setting of the why things are given to us and that is not merely the stat, the start is in the second article that is related on very different grounds. You see, (at https://www.clinicaltrialvanguard.com/opinion/benchmark-scores-dont-break-clinical-reality-does-the-health-ai-readiness-illusion/) we are given ‘Benchmark Scores Don’t Break. Clinical Reality Does. The Health AI Readiness Illusion.’ They give us the missing part. It is seen in “The January 2024 draft guidance created accountability structures around change management and post-market surveillance. It did not create a standard for pre-deployment adversarial evaluation. The Nature Medicine paper, read alongside the Cisco adversarial benchmark data, is essentially the field publishing a gap analysis that the FDA has not yet written.” So we get the first stage is “more debt and putting their valuations under pressure” and now we add “a gap analysis that the FDA has not yet written”, so before you dismiss this, consider what I have written why I consider all AI Fake AI. The parts that we are seeing is “What has not been written (consider: seen) yet”. You see, I have been involved with technical support and customer care for over a decade, and at the centre of the failures we are about to see is the lack of Validation and Verification. So whist these young upstarts are saying “We’ll correct that on the flip side”, consider how many failures will make you dump the product you have for all time and seek an alternative? These three parts is what makes a product lose nearly all credibility. For me it spells great news. It might not be today (which would be great) but in the very near future, these people who dumped staff will realise that the knowledge of their corporations went out the window, so they will need to train a whole new generation and in technical support you are lucky to get one in three (some say one in five) that embrace the support side of things and now see where the “more debt” parts will make this change expensive beyond believe (for them) and whilst they are looking for a neat gap to hide in, these young upstarts (to give it a name) will figure out that they weren’t told the whole picture and that is where validation and verification will bite all those who ignored it. 

I think that House MD (Hugh Laurie) got close with “Everybody lies”, it isn’t completely correct in this case, it is “Everybody merely thinks in his own lane and disregards whatever is beside them” and that is where debts and their valuation will strangle them like a chain lacking length around their necks wielding a 45000 lbs anchor, Have you tried swimming with that? Believe me, it isn’t a pretty sight for the swimmer (for as long as that person can hold its breath). That part should be clear at this point. So consider all these corporations cutting staff to the bare minimum and continuing on this disastrous setting. This is why I foresaw Microsoft (having a massive amount of products) getting into a larger stage. They are cutting in their Gaming division and in April we were given “Microsoft will offer voluntary retirement to about 7% of workers. The company is also closing about 6,000 open roles” it isn’t that they are ‘humane’ by sending these 6,000 people (or a large chunk of this)  into voluntary retirement, it is that their knowledge was send home and their fake AI is dealing with validation and verification to a larger extend, now consider the copilot issues they have and someone stating that AI was doing their work for 30% (it was Satya Nadella) now consider that over the last few weeks we had all these issue brought to light. So how much credibility is that 30%? It is not 0%, because some parts can be decently done with Deeper Machine Learning (and optional Large Language Models) but when 10% is thrown out of the window and you are bleeding knowledge and your systems are buckling (for lack of a better term) what will be left of your $2,740,000,000,000 capitalization? I reckon that some adjustment is coming quite soon to Microsoft and they are not alone. All who steered this dangerous path will see this coming their way (whether you use copilot or not), so do not think you are safe with Anthropic, ChatGPT or Gemini. The centre piece in all this is Validation and Verification and too many used Reddit to get their numbers up (who checks less than 3% of all data), which implies that 97% is dangerously lacking creditation (is that even a word?). And I saw this coming a mile away. It was easier for me as I speak a multitude of languages and I got my job in 1992 over a misunderstanding. It was for SPSS (Statistical Package for the Social Sciences) they asked me what a Standard Deviation was and I (with some pride) states “It is the difference between true nor and magnetic North altering a few degrees eastward on an annual bases” It is, but that was not what the interviewer meant. Still I got points for original thinking. That is one of the validations missing in everything. Terms are all accepted globally whilst there is a localised exception, that is with the best of validations in place and it goes down from that. I gave an example That Eric Winter (the actor is a god) (at https://lawlordtobe.com/2023/07/05/eric-winter-is-a-god/) on July 5th 2023. So how many played a role before they were born? Or when they were still a toddler? That is the verification setting we see slamming the hammer and miss the bell completely and that is Google who messed up. So when they do, what chances to non-data savvy companies have?

And that was all in English, so consider the issues that you have when languages are introduced. I (with giggles) point to a Knolleland (dutch: field of beats) towards the Swedish version where it can be seen as a fuck field (the 18+ version) and that are merely 2 versions. So in all this verification leading to validation is out the window. As I see it, for me with all these years in technical support and customer care will get a few offers in the near future (I can hope can’t I?)

As such I have made my case once again that at present all AI is fake AI and that is before you consider the issues that I illustration (the last time, at https://lawlordtobe.com/2026/06/01/the-new-short-is-coming/) in ‘The new short is coming’, so you wanna hedge your best on me being wrong on that bubble? It would be your money, so I don’t care hat you do, but I am keeping my retirement funds far away from that mess. So you all have a great day. I wish I was in Toronto, its dinner time there and with that the idea of a yummy pizza at Eataly is invading my mind now.

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The next stretch

In continuation of yesterday’s story, it is time to die you the next part. There is no news. As I personally see it, the news has become a much larger soapbox for big business and politicians. As such I can weave my own yarns and likely more entertaining. So where was I? I ended yesterday with 

The sensation was coming from the north north east, far beyond Ad Durar Street. He walked towards Yas Mall and decided to walk into IKEA. He walked into the restaurant and ordered the Salmon Teriyaki with Mango salsa, sparkling mineral water and a large coffee. He put 4 notes of 20 dirham in the hands of the lady and got some coins back. He needed and sat at a table by the window. There was not anything owe could do, but now he had a better feel of what was happening and the mall was not in the way of any interrupting feelings. He concentrated and viewed the people with his other sight. There was nothing out of the ordinary of anyone he could see, whatever this was, it would have a dark aura, optionally bordering on black. With every bite and sip he took, he was looking to the people in the back, even there, there was nothing to show him what was the cause. The weird thing what that he had not felt this feeling in over 15 centuries.  And this kind of power does not usually hide. It was more common in the 5th century when the Jinn were a lot more common than they are now. But they might be hiding in the folds of safety. Still. He had not felt this way for a long time and if there is a new player in town, he had to know. 

By the end of the meal, he had another blip, it felt like to was around Noya Luma. As such he decided to walk there. It took him around 45 minutes. He was taking his time to scan and see the people he did notice. It was more of a community, so the people were weary of him, they had not seen him before and after a while a person walked up to him and said “hal yumkinuk musaeadati min fadlika?” Apparently the man needed help. He nodded and followed him, his mind saw that there was no one to see and no cameras. The man wielded a knife and pointed it at him “Your money, now” He saw this coming a mile away and he smirked, the man pushed the knife towards his chest and he grabbed the hand holding the knife with his left hand, his right hand went around the neck of the man. His concentration told him that he was out of sight in every way. He felt the ring on his right hand. And he squeezed a little more and the next second the man was turning to ash, the power of his strength had evolved over the centuries, as such he was very blessed to turn this man to ash, even the bones dissolved, the calcium lost its coherence on the spot and he went away in a cloud of ash, the ash fell to the ground, but he knew that the smallest breeze and some water would be all that was needed to remove whatever evidence ever existed. He saw a few items, which he left where they were. The knife he would cast in some trashcan the first moment he found one. He continued on his route and when he arrived, he saw nothing of worthy, but he noticed a Starbuck sign and decided to sit down, have a sandwich and more coffee and feel the surroundings. 

When he got his coffee with a dynamite chicken sandwich and sat down, he could relax for now and feel what more could be coming his way. He was sitting for at least an hour when he felt the air change. It was what he expected, it seemed to be a jinn, but not a normal one. Darker and a lot more dangerous than he had ever seen. He saw none of the people that gave the vibe, but then he saw it, the aura was none existent, a weird setting, but it made sense now. It was not a Jinn at all, it was an afreet and not a normal one. He was seemingly a lot stronger than anything anyone in his larger family had ever faced. As such, he was not going to approach it now. He watched the man and saw the man was fitting in, not wanting to stand out. He liked that, because an afreet is normally full of chaos and destruction. This one was different, but he was not taking any chances. He then felt a larger different pulse, not anything he had ever felt, it felt Egyptian in origin, but he had no idea who it was, merely that it was massively old, older than he had ever felt. Optionally older than his grandfather, which was the weirdest of feelings. His grandfather was here before mankind was, so if it was older. What was it?

He binned his trash and walked back. Time to get back to the hotel, but the idea of getting food at that Rainforest cafe. The lamb mandi meal radiated with appeal and he was getting hungry. He was walking towards the Mall when he suddenly felt weird, his senses alerted him and he felt the afreet right behind him. No-one had approached him unfelt for centuries. He stopped and turned around. The man looked at him. Who are you? He asked. I go by the name Lavrinthi. And you? Let me introduce my self. I am Al-Malik al-Aswad, I am also known as the black king. I noticed you Olympian, but you are not really Olympian, are you? There is something different about you. Lavrinthi looked at the man. The other filing was not you, was it. Lavrinthi shook his head. I seems Egyptian, but I never felt anything like that before. The man nodded. I will let you leave now, the afreet turned around and walked away. Lavrinthi looked at the afreet walking of and went towards the Mall. Time for some diner and time to consider what he had experienced. He considered his options and decided to take another path. He decided to see if the afreet would approach him, or if he would keep his distance. After his meal he stopped at a coffee place and had another coffee. Time to get back to that Warner Brothers hotel, he was so looking forward to the breakfast they serve, but that will come after the night he has coming and it would be time to erect a very different kind of protection, because he had not experience anxiousness in many centuries and getting approached unseen was a really new experience for him.

What happens next? See another day, the next installment might come in the next few days.

Well this part is also for ADTV (or its parent Abu Dhabi Media). Perhaps they like it, perhaps not. I am getting my creative soul fed and that is good for me, a lot better than weeding out BS from optional BS, which is how I see a lot of the media exposure. And when the Financial times is giving us ‘Trump administration asks OpenAI to stagger release of new model to vet users’ as well as ‘Trump administration allows some access to Anthropic’s Mythos’, so whilst some people are considering that “Unease over Washington’s ad hoc regulatory approach remains.” And in all that time no one is considering that it opens up the European markets for DeepSeek and whether the next part is real ‘Microsoft Now Wants Users To Adopt Chinese DeepSeek AI After Failure Of Copilot’ (source: Channel News) is unknown, but that is opening a few Chinese walk ins into the west. The status? I have no idea, I honestly don’t. But some are saying that the race between China and the western AI markets are much harder to see and I get it, but what happens to that famous ‘Big Beautiful Stargate’? Consider that this is a $500 billion market being poured in a second or third placement and as I see it (and written about several times) set for a non-existing AI, or as I prefer to call it a fake AI. So we see a massive public-private AI infrastructure venture aiming to invest up to US$500 billion to build the world’s most powerful AI data centers and Europe and optionally the Commonwealth as well are setting up Chinese walls (a happy coincidence expression) against United States data centers. So, investing that much in data centers that are keeping track of a population of 349 members of the United States? I very much doubt that and I reckon that these centers will be avoided by China and several others as well. Did anyone consider what happened to the $500 billion? Just a questions to ask. 

Have a great day.

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Expect bubbles

That is what I was introduced to (really early) this morning and I saw a few articles, but one gave me an interesting option. So lets take a look. (At https://stocksdownunder.com/ai-bubble-chip-stocks-crash/) we are given ‘Is the AI Bubble Bursting? Why Nvidia, Micron and Chip Stocks Are Crashing’ it holds a lot of record, but I was taken with this setting ‘Is the AI Bubble Bursting or Just a Healthy Reset?’ With the text “Here is the honest answer: it could be either, and the truth is probably somewhere in between. The bear case is simple. Micron has more than tripled in value this year, and a run like that leaves very little room for disappointment. The bull case is that demand for AI memory and data centres is still strong, and analysts note the selling looked more like a rush for the exits than a real change in the companies’ earnings. We lean towards this being a crowded trade getting stress-tested, not the end of the AI story. But if the selling spreads well beyond chip stocks, that view needs to change quickly” (and at this point I learned that whoever was working on this is a noob and an idiot for his CSS settings as they are all over the place) But that is matter for another day. The “It could be either” and a third setting was the one I referred to a few days ago when simply Wall Street put out an unsigned piece that Palantir could be overvalued for well over 20%, as such this market has some people in it that would like to short stock as that is where their dollars come flying. And as we see in the article “Investors simply pay less for today for profits that may not arrive for years.” And as I see it, some investors are not beyond shorting stock if it fuels their profits, so a third reason is found. I am still on the side of the AI bubble shorting, but n that case a healthy reset of trillions is not out of the scope of things and the marshmallow field of fictive unicorns is rearing its ugly head that comes with the “late arrival of profits” and now that the investors are wondering what they got into, some will see that they are fueling a stock market that cannot survive delay upon delay and with AI not yet existing that is where it is all heading. So it is time to get another view and we see this in Clean Technica (at https://cleantechnica.com/2026/06/24/trillion-dollar-ai-bubble-on-verge-of-popping/) where we see ‘Trillion-Dollar AI Bubble On Verge Of Popping?’ And I am not adding it, because this is in part the view I have, what we see is “Yann LeCun, one of the “Godfathers of AI,” is one of the notable people who think the industry has been far too overhyped and misunderstood. He’s been pointing out that AI costs could be much higher than the amount of money customers are willing to pay for it.” It comes (also) with “Labs like OpenAI and Anthropic are going to have to increase prices, they’re going to have to cut costs, or there’s going to be a big bubble explosion,” and ““In their pursuit to boost productivity, become less reliant on human labor, and reassure investors that they’re riding the cutting edge of tech, some nagging issues are cropping up,” Futurism adds, and “over-relying on AI can prove disastrous for organizational knowledge, the critical business insights companies need to make strategic decisions.”” This is the setting that is actually fueling both the bubble burst as well as a healthy reset all at the same time and I reckon that for OpenAI, Anthropic, Grok and Microsoft that will most likely happen in the least interesting time and they will all ‘suffer’ for it, so consider when this bubble loses $4,000,000,000,000 – $5,000,000,000,000 (writing the word trillion makes it trivial) because that is likely to happen and the market is figuring out what I saw over 1-2 years ago, when you realise that all AI is fake, it is easy and let there be no mistake, all AI is fake. You see, what we are seeing is Deeper Machine Learning and Large Language Models and these are great tools and they will create markets for themself, but the people are expecting AI and that is just not true. So as AP News gives us “The tech-heavy Nasdaq composite fell 110.40 points, or 0.4%, to 25,476.64. A 2.3% drop in Microsoft was the heaviest weight on the market. Oracle slumped 4.6%. Many large tech companies have been behind Wall Street’s record-setting run throughout the year, but analysts have warned their valuations may have become stretched.” I personally reckon that someone is likely playing a stock short game with both Oracle and Palantir. You see, no matter how you slice it, the proper Data needs for DML/LLM solutions require data technology and these two are refined into the core of that and optionally there is Snowflake as well, but it might not yet be large enough to get the attention of the stock shorting DoDo’s (lets call them that).

Jawlah, a prominent Arabic digital media platform and news organization focused on venture capital (VC), startups, and the entrepreneurial ecosystem in Saudi Arabia and the broader MENA region (Middle East/ North Africa) gives us (at https://jawlah.co/en/59212) where we see ‘Fears of an AI bubble burst after a sharp tech stock sell-off’, which I reckon is fair enough. But the interesting part is where we see “The decline followed a near-800% surge in Micron’s stock over the past year, driven largely by rising demand for memory chips needed to run AI globally — gains some analysts believe may have overestimated expected returns”, as well as “Gil Luria, head of technology research at D.A. Davidson, explains the volatility: “The market swings between a wave of optimism that AI will change everything and renewed skepticism that it is just an expensive bubble whose returns do not justify the current spending.”.” And I am here in opposition, it is not “renewed skepticism”, it is the mere setting that those willing to hand out trillions should never have been so optimistic without proper case files and validation, so whilst they might get their cash back in 2045 when actual AI comes into play, the rest until then will be massively overvalued.  As I, as a non-believer, see it, someone listened to a sales person with the mindset of a second hand car salesman that stated “Look, we have AI” and the rest followed like crazy to get those coins rolling their way and now we are optionally seeing the start of an AI bubble. I am trodding carefully because there is disagreement whether it is an actual bubble popping. I reckon it requires an actual econometrist to call that for real and I ain’t one of those actuary types (nowhere near).

What we see is that we are given “it has erased approximately $2.7 trillion in market value across AI-linked companies”, all whilst the reasoning is “massive debt-funded data center expansions, mounting hardware costs, and growing investor scrutiny over artificial intelligence’s actual return on investment” which (as I personally see it) is only partially true. As I see it, the data sovereignty in Europe and the Commonwealth is setting the drain on the Return on Investments (ROI) towards these massive debt-funded data center expansions and that will hit business in the United States a lot harder than anywhere else. You see the United States has over 4,000 data centers. So how many are still under debt? And when a response group of over 700 million people walk away from that, with an additional optional population of up to 2.7 billion people (that is the complete Commonwealth), so it will not be that much, but I reckon at least 50%, that is 4,000 centers that will now lose close to 2 billion people (or 2,000 million), so where is that unused potential going? That is what I saw almost a year ago (actually a lot earlier, but until President Trump come, most people let the states quo continue) and that has now changed. So as others players (like DayOne) and there is someone in Sweden who saw this coming a few years ago and put his money where his thoughts were. I forgot that players name, but they are likely to make massive gains. All out off the hands of the United States. That part is not represented in any of these articles, but it is a factor in all of this.

So, we are expecting bubbles and I reckon a few other setting will rear its ugly heads, but the markets will all attribute this towards bubbles, because some is massively unhappy to attribute the other losses towards an US Administration that should have known better, but that is merely me looking at other factors in all this. The larger issue in all this is that some solutions are likely to be rather good and I hope that they are allowed to continue, because investors and speculators will want their returns at whatever expense they can get and some will suffer because of that greed driven taint in all this. But I might be the next village idiot in all this. Just like that seer in the 3rd century that saw large walls of stone with thousands of people and it was written off as a lying loon (he saw the Altiero Spinelli building in Brussels) but that is a story for another day.

So whatever you do, don’t rush into or out of anything without clearly seeing the ramifications. Have a great day today.

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And just like that

So, here I was (actually I was there, my mind pointing east) and an idea crossed my face, you see, I just watched a Managuan walk (that’s a walk in Monte Carlo) and the warm spring sun was oozing over the YouTube video into my face when an idea occurred to me and this article (optionally a mere story) is meant for Larry the Oogly Googly Googler Brin (are you reading this Larry?) Because this is the second idea where you could gain billions in revenue, as I see it, you already dropped one idea, so it might be an idea to take notice of this. 

The story can start in many ways, like ‘Once upon a Time passing a Ferrari’ or ‘as I walked past the donna splendida walking the streets of Monte Carlo’ buy I am going with the stage of Directed Advertising, a new concept by me little old LawLordToBe. So as I was watching a video (not the one in the image below).

You see a car, but you are not sure what kind of a car it is (in this image, the color is a bit of a giveaway), women want to click on the woman on wonder what fashion this is. But Google has the DML expertise to turn any moment on any video into an advertisement and the pop-up gives all kinds of options. That is billions in revenue, optionally it is also a knowledge setting because I know that the building behind it is the Monaco Casino, but no everyone does, and as such any video becomes the starting ground of what call Video Content Analysis (VCA), Video Analytics (VA), or Intelligent Video Analytics (IVA). And all this related to advertisement revenue. There is a need to cull the use of it, because the mainframes of Google will go GoGo at the setting of this, but out could be a setting that in the beginning only those with YouTube Premium will have and that might get a lot more people towards Google Premium.

So Larry, what do you think of this. I reckon that Microsoft with all the copilots and claimed AI settings cannot get near what you could offer, but that is life for them. So as my mind goes all over this again, there is the settings of shops and locations that are stage for this, and with every video that has GPS metadata inserted, It merely becomes easier in the long run. But consider all the videos you already have, it would be the breeding grounds for loads of advertisements (like shops) and that is merely the statical setting. When you get to the next iteration of this, you could scan the car wanted and insert the colours in the brand advertising, allowing for a new level of advertisement branding. Cars make the most sense, but it could be a (motor)cycle as well. Time never stops in this setting.

You simple never know what interesting settings you encounter and DML could make short work of the encounter and merely give you the ups and downs of what you referred to. Well that was it for today, perhaps tomorrow I will look at what the news is bringing, because this morning I got way too much Trump reality (Which is a delusional weirdness) to say the least. 

Have a great day.

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Out of the pink

Yup, that’s me, not out of the blue, so I had to think of another colour. Out of the Teal was too close to blue, so it defeated the purpose, then there was red, but it was too aggressive. So, out of the pink it became. My thoughts tend to be all over the place and I was thinking of the old Activision game Hacker. So, consider that it was based to what we thought it was thinkable in the 80’s (with only 38KB memory). This is not a setting we need to consider today, the average mobile has 10 times the memory we used to land on the moon, as such we have some degrees of freedom. The issue becomes when we consider a multitude of games like Hacker and Paradroid. Not to copy, but the settings there is one that can lead to all kinds of new IP and these games are lost and mostly forgotten. So consider that we have an AI setting (an Actual True AI) so we get that to play with, but the sinister setting is not that it is all it is cracked up to be, because the people were gone decades ago and now we get to resolve what there is. So in comes an unknown entity (largely unknown) and it can resolve the settings it sees with tech more advanced that we have seen over the coming century. So the game starts as an observation game, but the video links are giving us clues. From there, we get to the industrial stage. These systems can replicate, but they need fuel. So its first function is search for fuels it can use to replicate. At this the link to Paradroid comes into play. We get to ‘infest’ the visible droids we see and they can set us towards new areas. And from there we get to new places and see new things. I partially write bout this before (somewhere last year) and set it to an Earth-Mars setting, but with disclosure day upon us, we can take a much further aim to what we are looking for. More importantly, this could be a near infinite game. I don’t believe in infinite, but near infinite is a much nicer way to tell the audience, this is a game that could fuel you for a long time. So if the goal is conquest, we can always see the edge of what we can do and see, but if the goal is data, that setting becomes near limitless. Consider the ‘aliens’ in AI, if this is what we envision, what would be the edge of what they would see? 

There was something serene about that view by Steven Spielberg. I am still curious how Stanley Kubrick would have set that pace (because it was a little too sweet for his view on matters) but that is my interpretation of what I know of Stanley Kubrick and that gave me the setting on the creation of lore in the stores that this game could stage. You see, there is no real AI, but there is the setting of DML/LLM and lore can be spun around those two stages. You see, we can go about it again and again, but when you get a repetitive story, the fun dwindles down to a small trickle. So to counter that, we need to create a intelligence that uses the internet (in part) to set the stages for millions off gamers and hen we get a stage where we have the profile of dozens of writers (from Charles Dickens, Jane Austen, Charlotte Brontë, Edgar Allen Poe, George Eliot, Homer (not Simpson), Sophocles, Euripides, Aristophanes, Plato, Herodotus, Miguel de Cervantes, Harry Mulisch and it is not based on one writer, as we get elements of romance and intrigue intertwined the result is a mix of Jane Austen/Charlotte Brontë whilst the intrigue part is set to George Eliot/Herodotus and these aren’t mere settings, the intelligence is vast and diverse, as it needs to be, so the connections are towards a gaming mainframe that passes along the lore towards the stage of play. This would be a monumental undertaking and it is not a given that it is simple. But this level of diversity has never ever been achieved and that is where the larger benefit is. A stage where we see a multitiered Producer-Consumer Model that has s fas as I considered it never been achieved in gaming before, so this will take a level of understanding that is unique and could become the game changer and it makes sense as it is not merely a ‘single setting’ this could be the evolving door towards RPG lore creation. The writers are known, but the materials it creates are a diverse amount of layers that were never part of these writers. It becomes a whole new field of IP and even as AI doesn’t exist, DML and LLM do and they do all the heavy lifting. It could also diversify the engines that are currently in existence. So we see Steven Spielberg and Stanley Kubrick, but what happens when we replace the stage from Steven Spielberg and replace his settings with Graham Greene? What do you think that does to the lore of the story, when AI gets a distinct ‘The Third Man’ touch to the story? This is what we aim to go for, where we get to the story, what happens when the elements become interchangeable? Don’t think that I cam sup with this and it is simple. This might be the next stage in gaming and it becomes a much larger setting towards the exploitation of gaming lore. And exploitation is about right, because we might be harvesting writers style, but this setting ha never been done and that is the solemn goal of any designer, to be the one making a difference and as far as I can tell, this has never been tried or even succeeded before in gaming. But that is what makes the next idea exciting. Not merely because it is new, but because this approach towards dynamic lore has never been achieved and perhaps there was a reason for that in the past, but we have a lot more space than the CBM-64 about 64,000,000 times more and that is merely for the storyline to be created and when that works we can focus one the long term approach of making an actual never-ending story, the insert of the sacrificial Artax becomes optional. But that is my sick sense of humor and I am still privy of making Sir Hiss (Terry-Thomas) becoming the rope that saves Artax, but that is my sneaky sense of humor. 

So you all have a great day and consider the hints I have in this story, so where does this make waves? It’s up to you to see where this is possible.

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Kettle calling chopstick black

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

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

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

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

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

Have a great day today, optionally valued too.

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The brain jostles

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

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

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

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

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