Tag Archives: Eataly

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.