Yes, it happens and in this age of all the fake AI it will happen a lot sooner than you think. So, you want to see evidence? Easily done.
So here you see the result of the query [lawlordtobe + “tome”]
Seems simple enough, so why was “https://lawlordtobe.com/2021/07/22/tome/” omitted? It was a simple enough request and whilst we see results that ‘kinda’ answers the request from 2018, all whilst the ACTUAL article was not there and it was published in 2021. We get an AI overview, we get all kinds of articles, but not the one I asked for. So how did Google lose the plot? I am kinda curious. Because the query itself is really simple. There was even an older article in 2020, but that one was called ‘Tomes’ so it might not have made the ‘query setting’ but then neither did the other ones because the one we do see is tagged with “iBook”, but the title is “An actual competitor” so whilst we get into the setting of blame (like) “You should have done ….” No, I asked for for the specific query and I might have gotten more and that would have been fine, but the one mention that I actually needed was not given.
We seem to have the ‘old fashioned’ setting that Google responds to OUR query, what we wanted and they are even selling Google ads on that premise “do what the question asks” so why is Google missing the point by over a mile?
So whilst we were given n the past ‘US v. Google Antitrust Verdict’ with “A US federal court ruled that Google built and maintained an illegal monopoly in the search and digital advertising markets through exclusive default agreements with phone makers and browsers” I am contemplating that some of that ‘overlapped’ in different fields (and contemplating does not mean that they are doing this or that this is happening). But in this day and age where we kinda rely on Google giving us the goods, the simple fact that it does not, is a massive cause for concern.
And this was merely me looking up something for myself regarding what I myself wrote, so how much more is there out there?
Have a great day (I am still 240 minutes from breakfast)
That is what kept creating in my mind, it was pushed there by the BBC (at https://www.bbc.com/news/articles/cqkg50j1yd5lo) less then 24 hours ago and it is time that I (kinda) repeat what I have been saying all along and for this version lets use the ‘fairy tale’ approach. The title gives us ‘Rogue Anthropic AI agent gave police fake tip in unsolved murder case’ and I get (to some degree) fed up with this rogue setting. So lets explain the setting of a rogue.
This is the first rogue, in this case a female rogue and thoroughly explored in Dungeons and Dragons themes where to poor butcher (could be a fisherman) pleads with this rogue “Oh, please gloomy dark lady, do not deprive me of my virginity” and the outcome of that is decided by dice (or an interrupt card) and that is the ‘Rogue’ that has been in play for centuries (although until the 18th century I have never seen a female version. I did hear from a man in the 19th century named Dick Turpin that he met one, but it might have been the combinations of ale and wines and him losing his purse.
The decently real rogue in this case is the ‘dorky’ IT guy who gets his programming a little wrong. Like the ‘eager’ student in a renowned University working on his ‘assignment’ and he is looking into statistics, more precise Multivariate Analysis of Variance (aka MANOVA) and the dastardly scoundrel gets a parentheses wrong the “(“ or “)” particularly the placement and now what was a small assignment where the illustrious student evaluates a linear combination of multiple correlated outcome variables, but as one of the parentheses is in the wrong place, the mainframe it working on is seeing a correct statement and it does it, but the size of what is to be analyzed take a lot more than the available memory of the mainframe. It goes a little bonkers. And makes the system administrator scream and call for his mommy.
And as the BBC is giving us “An artificial intelligence (AI) agent developed by Anthropic went rogue and sent US police a fake tip about an unsolved murder earlier this year, authorities have revealed. The Philadelphia Police Department said the 18 July tip was “flagged as spam” and not passed on for investigation – but the force criticised the tech firm for taking more than two months to detect and report the breach. It said the bogus tip came through a public website where people can share information on unsolved murders, and that the AI agent had claimed to have seen “someone matching the description”.” So there are claims that could be it, but this is not some system going ‘rogue’ because that system is not armed with sharp blades (or poisonous arrows) and the setting that the BBC is giving us (and many other media as well) is a programming error like I described, but these systems cannot afford the class actions coming from there, as such we now get more and more ‘class actions’ Now this last part is speculation by me. I would call it presumption, but that requires genuine insight and I don’t have it, because to me all AI is fake. But consider that predictive analytics uses statistics to find causality and correlation and optionally ANOVA and MANOVA are used. Now ask yourself could a programmer gotten a parentheses wrong, of will we see servers stealth fully walk the corridors of your corporation, leaving false evidence behind?
Just something to consider.
So whilst we get “The police department added that there were no signs of breaches to any departmental systems and that its safeguarding processes stopped the fake tip from getting past its spam folder. But the safeguards “do not diminish the seriousness of an AI system presenting fabricated information as though it came from a person with knowledge of a homicide”, the force said.” And there is a case for “AI system presenting fabricated information”, in courts there have ben several cases where these systems ‘created’ false case files and not once, but several times. And in the age of utter shortcomings in validation and verification, these systems are extremely flawed. I wonder how these systems hold up against the system that they created, The UK Police Scientific Development Branch started the Major Incident Project in 1974. It would be called Holmes and apparently (I was unaware) a Holmes 2 system was rolled out around 2000. So, were there considerations on how validation and verification happened in those days?
And when we get to “Anthropic this week published a report detailing multiple types of “unintended” actions its agents have taken. Organisations that had been impacted also included several US government agencies including the White House, it said. The US State Department said the AI agent had filed 20 visa applications using a form on its website, but that they were incomplete and not processed, according to reports. US President Donald Trump recently announced an AI taskforce, which he said will co-ordinate engagement between the government and all parties, including AI companies, consumers and religious groups.” So in this case was the agent a real person? And when we get to “the safeguards “do not diminish the seriousness of an AI system presenting fabricated information as though it came from a person with knowledge of a homicide”” was this a person wanting (read: hoping) for a free ride into the United States? The article left me with questions, as well as the fact that “presenting fabricated information” requires certain steps of validation, optionally veridic action and at the very least question into the predictive analytics side of things, because a programmer getting (optionally) a parentheses wrong is seemingly one with enormous potential and optionally the easiest solution into this setting. It is not a setting that Anthropic likes, because that could start a new class action war and when one goes down the others go too and I reckon that OpenAI, Grok, and Gemini will assist in keeping the ‘Rogue’ setting alive, they all have plenty to lose and my giggling sense of humour comes with the setting that these fake AI settings is costing them 3-4 trillion and the court cases settlements could exceed that at the very least (but that is merely my sense of humour)
So have a great day and consider when you get your coffee that the POS could steal your credit card, Rogues are intensely able to do this and spend it on new shoes. Or we could look at where the programmer went wrong. Its all up to you.
That is how I saw it and I was woken up to ‘Microsoft Surface Laptop Ultra: An AI powerhouse with a RAM issue’ an issue that made me frown. So we get “the Microsoft Surface Laptop Ultra has been unveiled, equipped with the Nvidia RTX Spark chip. There is no European equivalent of the starting price yet, with the $2,599 price tag from the U.S. serving as the best indication. For that price, you’re not getting a workstation: 8 cores, 24GB of RAM, and 512GB of storage. However, the built-in magnetic USB-C charger is included as a premium-looking feature”, no no that is not the world we live in. We see the reported “With 128GB of memory, which provides the AI workstation with a reasonable amount of RAM for sophisticated AI models, the Surface Laptop Ultra costs nearly $6,000. At that price point, another alternative has been announced: the Surface RTX Spark Dev Box, a mini-PC for developers that also features 128GB of RAM. Pre-orders have begun, and shipments are expected on October 16.” But then the article gives us the bottleneck. You see, it woke me up, because the is the same setting we had in 1992. A system dragged down by ram (different specs in those days) we are given “The problem facing the Surface Laptop Ultra, and many consumers, is the RAM crisis. Because memory is currently extremely expensive due to high demand, it isn’t necessarily appealing to purchase the hardware for AI on one’s own. The problem: since AI is then only available remotely, such as Claude, ChatGPT, or various models accessible via API, demand in that area grows, and the providers of these services purchase more memory. This is how the price spiral continues to spiral out of control. As a result, the entry-level model of the Microsoft Surface Laptop Ultra is very limited. 24GB, although unified, is downright insufficient for AI. That’s the same amount offered by an RTX 4090 GPU; the difference is that, as a standalone graphics card, that chip operates much faster at the cost of significantly higher power consumption. But the rest of the PC still needs additional DRAM to run the system itself, so unified memory must strike a balance. Actually using 24GB for a single LLM is therefore unthinkable: the OS, other processes, and any applications also need memory space.”
For reference the MacBook Pro gives you 48GB Buy for $4,699.00 with 2TB of storage and this setting is what I call a flim flam option. Just give it a song with all the bells and whistles and se how that sails. So, as I see it, its kinda true to get “As a result, the entry-level model of the Microsoft Surface Laptop Ultra is very limited. 24GB, although unified, is downright insufficient for AI” and there is the rub, the laptop is completely insufficient, but if they mention the high end of a component costing the same, it falls away. And when we see the added “But the rest of the PC still needs additional DRAM to run the system itself, so unified memory must strike a balance. Actually using 24GB for a single LLM is therefore unthinkable: the OS, other processes, and any applications also need memory space.” A setting of a NEW laptop where we see the need for massive required additions is not a new laptop, it it (as I personally see it) a refurbished prevue generation gaming laptop with a brand new logo. Is that what Microsoft has become? Old news with questionable hardware options?
So with that the article switches to Mac, making it a ‘but they are in the same setting” and we are given “Ultimately, consumers have little say when it comes to pricing. However, there is a choice between Apple and Microsoft. The Surface Laptop Ultra is explicitly a counterpart to the MacBook Pro with the M5 Pro chip. The specifications for the entry-level model are actually very similar: an 18-core CPU, 24GB of RAM, and Wi-Fi 7. However, Bluetooth 6 is missing from the Microsoft model, which “only” supports version 5.4.” Yet we aren’t given that Microsoft apparently offers 512Gb (not unlike my Android phone) but Apple has a 2TB storage a 40 core GPU with 48GB gives you a lot more for that ‘price’ and of course there is no mention that upgrading to more memory is $400 for 64GB, the step from that to 128GB is however $2000 and for a thousand more you upgrade storage to 4TB. I am in the middle needing that, but I have different settings. And whilst a vlogger wants to make that jump, wielding Adobe solutions like a magical wand that you wave and shout ‘Firefly Permissus’ because that is what vloggers (apparently) need nowadays to get their numbers up. As such the Mac approaches the “the Surface Laptop Ultra costs nearly $6,000” and as I see it, the specs of the Mac are decently better at that point (and you don’t have to shy away when people stare at the Microsoft logo on your laptop) but that is more of personal nature. But the setting of “24GB of RAM, and 512GB” is one that has thrown me for the longest time and as I see it Microsoft has something it pretends to be ‘the start of the upper class’ whilst it is nothing more than last seasons gaming laptop of Asus. As I see it Microsoft doesn’t learn, or its master in the boardroom is still unaware how the market reacts. And there is no real setting for memory, it is expensive, we see that and it is expensive all over. And that is not even the worst news, because that part isn’t given and we cannot blame the writer (or Techzine), you see, in other places we are given “SK Hynix warns of worst-Ever memory shortage in 2027” which implies that if you can afford it get it now, because the prices will go up drastically within 10-20 weeks. And that leaves Microsoft in a bind. Because that will make their Surface Laptop Ultra massively short and super expensive to make it fit. So, its not all their fault, they can blame their copilot for that. You see, this setting was clearly foretold with predictive analytics and as such with their (fake) AI. The fact that simple stupid me could see it shows you how shortcoming copilot is. Doesn’t it uses OpenAI’s large language models? And what exactly is Microsoft’s proprietary Prometheus model? It is OpenAI with a MSLogo? (I actually don’t know the answer here, I have never ever looked at Prometheus),
it makes me remember that guy who stole fire and gets ripped asunder by eagles again and again until time stops. The image was better captured by photographer Carl Bloch (they were called painters in those days) although Zeus had a more impressive beard and longer hair (in those days). And in case if you think it is rambling. You would be wrong. You see, Microsoft wanted a cool name, but Prometheus was (by all accounts) a thief, a deceiver and optionally a charlatan. Out there for his personal ‘needs’, the one we name pride now. And it has reference as this is the same setting we saw in 1994, 1999 and 2011. Microsoft stating (in those days) “We do’t expect any additional needs” which is a reference for memory (and storage) all whilst they already knew that their is a bonus for the additional needs and we get to pay for that. And as I saw it (in 1999) Asus was already more than aware and giving us more than we needed. So I merely see a return to old stupidity, or perhaps better stated short stopped settings all for the good of bonus sales and when they have you on board, you can stop with what you have of give more. And when we see what is actually required (which we are shown with) “24GB, although unified, is downright insufficient for AI” and that should have been clear straight out of the gates so, why didn’t Microsoft properly address that from the start?
Makes you wonder doesn’t it? Have a great day today
The idea hit me a moment ago whilst I was watching YouTube. Videos on the Vatican, as well as (bad) AI movies on Star Wars and all these thoughts mixed a different setting. You see, I always believed that games are the best instruction methods. It won’t make you a Ranger if you ace all the Fortnite campaigns, but it can be used to instill abilities. One game that stood out was ChipBits (CBM64) and I heard that a new version was made on Windows by the original makers. I hope it works out for them, I really do. But these thoughts were mixing when I was considering a few things.
Last week I saw some add that offered AI programmers over $400K annual, which sounds like a ploy of desperation, even in the height of Oracle’s needs, no programming DBA ever made that much money. And it is ludicrous to think so. Plenty of programming jobs exist and you can make a real decent penny, but not ever that much. Then there is LinkedIn with its Microsoft tethers and there are massive needs to get people on board in many ways, but I see them as hollow sales ploys. As a service minded person, I see the desperate effect of these moneymakers trying to get you on THEIR side and that is how they reel you in, then there is the setting of courses which will pull your wallet for several thousands and when you come to think of it (the small consideration that all AI is fake) we have a problem.
Don’t get me wrong Machine Learning (ML) is real, Large Language Models (LLM) are real (I tend to call them DML (Deeper Machine Learning) and we have Predictive Analytics and that is real and they are powerful tools, but Predictive Analytics has its own flaw because that is data based and data that is unvalidated and unverified becomes a real threat to that solution.
So where am I going here? So when a place like Google offers a game not unlike ChipBits but modularly growing in several directions with additional settings over time (like trinary parts) and infill these skills of programming into a game letting the older youth (I think they are called teenagers now) get into that field completely set in a Google place of mind, both players (a Gemini reference) could grow actual skills without spending too much money. I reckon that Google could offer that for a simple $10 a month. Something most could afford, optionally it starts after you reached level 2 or 3 and you get the first three levels to home your skills free of charge. It creates traction and as such you could grow a population that embraces your solution without you having to push the fake AI setting, explain the ground works of predictive analytics, teach these gamers (aka students of life and education) the use of LLM and how to set this in machine learning. Now consider that the game will have partial settings not unlike ConfirmIT with a sort of Script setting that brings the knowledge to the ‘game’ and as these ‘gamers’ grow their knowledge you grow the population and create traction towards Gemini (and Google), the simple approach to adjust a good gaming principle towards a common goal most of us needs without draining them of their livelihood and consider what firm offers $400K a year? Where is the return on Investment? And I saw the same ludicrous setting over a decade ago. We now see “500+ roles are listed across platforms like LinkedIn Sydney AI Jobs and SEEK Sydney AI Jobs” I saw it a decade ago with DBA roles and I was told there were over 1600 jobs. All empty, no real jobs and it starts all over again. So now I am creating a setting where people trying to get into this field have a chance, properly informed and not some OpenAI/Microsoft sales talk to get you on board to THEIR solution.
I think the idea has a shot of working, but I reckon it is up to Google to consider. Optionally Oracle could use that idea, but I think they have a solid training ground with their DBA trainings.
Anyway, that was my idea to slice through the job BS that we are seeing now. Have a great day.
This is what I was given a little over 5 hours ago when I was given (at https://www.bbc.com/news/articles/c5j9x9pr0240o) ‘Pentagon stops using Anthropic AI tools after blacklisting company, BBC told’ with the subtext “The US Department of Defence is no longer using Anthropic’s AI tools, an official has told the BBC, months after it designated the company a supply chain risk on national security grounds. The Pentagon “has ceased the use of Anthropic products”, the department official said in a statement on Monday.”
We can speculate all we want, the simplistic version that I reach for is that all AI is fake, it is an advance form of predicted analytics and as I was able to set the stage of ‘Maybe we bomb Iran to hell’ (or something of the sort states by President Trump) all whilst I needed nothing more that the advanced statistical tools seen below:
An advanced statistical took invented by Babylonians 4500 years ago. And it told be that the US will have depleted its stockpile before that happens and it needs 3-4 years to get their stockpile up to date (that is if they have the dineros to pay for that all) and there is more, because a war is won by grit (in the very least) and I reckon that the tools by Anthropic told them as much and what does this administration do when the outcome doesn’t match their reasoning? (Im leaving that in the open) But the setting of National security is a laugh to say the least. The end of the article by the BBC gives us “Hegseth designated the company a “national security supply-chain risk” – a law typically reserved for companies based in countries that pose a threat to the US.” So what is a ‘supply-chain risk’? Im just putting the question out there, because if these are tools specific for the defense department, so either it will not or does not give the answers they need. Optionally it makes Anthropic the juiciest tool in their tastebuds, but the distancing parties are at least as intelligent as I am and they see that beyond the marketing all AI is fake (at present) as such what danger is there to national security? At best it is (under optimal data settings) a decent predictive analytics tool, under debatable settings (like I heard from my coworkers in Chicago) that certain ‘people’ gave them the run around with excuses like: ‘we’ll fix this on the backend’ or ‘we are about to get there’ and I reckon they never got these points settled, it was too hard for them. As such their national security is riddled with the GIGO laws in place (Garbage in, Garbage out). Now this last part is presumption, because I was never in the know. But it is the most likely of settings and anyone deep enough with Anthropic (or OpenAI) could see that in a near instance and that is where the trouble starts. As I personally see it Dario Amodei has a backbone, a hardcover, not a paperback like Sam Altman (I merely accuse him of being narcissistic, which is not a crime) as such the defense department is likely making a few changes in the short term (or if they are merciful on their data departments they will cut these fake AI’s all together).
I would prefer if they do that AFTER they pay Oracle for their services, but I don’t work for Oracle, so I actually don’t care. But it would be nice for Oracle. I am a decent bloke in that regard. As such the hardcover mention comes from “But earlier this year, the Pentagon pressed it to remove its safety guardrails from Claude and give the military unfettered access to its AI products.
When Anthropic refused, citing concerns of mass surveillance and autonomous weapons” which is a likely culprit, but it in not the only reason. I reckon that any media worth its salt has been pouring over the data chaps in the Defense department for a while now and as they are not as heavily dined like the people at Langley they might spill a java bean or two during desert to one of those Washingtonian women in journalism, but that is just me postulating.
I reckon that there is some truth that this US administration would like to blame Claude for whatever comes next, even if there is enough data out there showing that the GIGO laws are to blame and the people in charge are ‘assuming’ that the data is flawless when it wasn’t even close in the late 90s and in the 20 years that followed the mess got greater. Because from two faulty assumptions a truth can never be distilled and that is the one direct consequence why I am so intent on verification and validation. All results derive from these two truths in action and in place and as far as I can tell none of these systems have this, as such the predictive analytics are prone to errors, the fake AI can never derive anything from validated data and if there is no verification the faults merely increase. So what happens? Mass surveillance goes wrong because the the subject was non-caucasian and that is before we get the setting that translation errors of a passport come into play, the simple validation of a passport, a human requirement and all that is up for grabs as we consider the BBC article where Pete Hegseth is looking at the President like he is admiring ‘his Masters Voice’ (older readers will get that reference).
And just like that we see another ‘failure’ (in a good way) hit these fake AI (or Super Intelligence) hit the world. So where are you in all this? I am merely asking, because we have a multi billion dollar device being outclassed by a $30 device not needing electricity. Did I oversimplify the problem here? Have a great day today.
Yup, I went there. And I went there intentionally for the simple reason that this is about Predictive Modeling Security. It comes from the dangers of predictive modeling. I suddenly realised that President Trump wasn’t all that bothered with AI (apart from the class actions in play at present), the dangers are in a much more niche setting. You see, the main dangers off predictive modeling are numerous and there is every chance that all these fake AI’s are getting toppled by them.
First we get Algorithmic Bias and Discrimination: Models train on historical data. If past decisions or societal data contain prejudices (optional predictive policing), the model codifies and scales them.This is a round about setting of the errors of historical data is a dangerous slope. It come clear through the absence of clear validation and verification (a setting I told you all about in my past stories going back months, up to a year ago I saw that danger pop up. But when we get away from all the fake AI and we concentrate on Predictive Modeling (what is more and more used) validation and verification becomes a much tougher nut to crack. But where is that and the answer is a speculated everywhere. Because when we ‘kinda’ accept bias in these fake AI settings, the presented concentrated in predictive modeling becomes a lot more dangerous and some make away with jokes. Jokes like “70% of women are medicating, this tells us that 30% doesn’t realise that they need medication” a simple joke that paints over the setting of bias and the dangers of what medication we are talking about. Two generalized settings and it is ‘laughingly accepted’ with the offsetting “It’s just a joke, don’t worry about it” but that is the problem and when we take a less simple setting like credit scores and optional housing scores. The setting intensifies, because now banking references are set in that same policing setting. So when were you last set in a banking dispute and someone told you, this is an obvious error and we will adjust that. But that is the ‘paint over’ setting, but who was thrown into that mix? Australia has a huge housing problem and that is where this setting of bias hurts the most. I reckon the United States as well, but that is speculative, because I have never lived (or ever want to live) in the United States.
Then we get to Self-Fulfilling Prophecies: Accurate prediction models in healthcare or social services can alter human behavior or clinical care paths (e.g., withholding treatment based on a predicted poor outcome). This causes the prediction to become true even if the original forecast was flawed. Which is in a serious setting in any aging population, which by all accounts was most of the world. Apart from the setting that I do not call them ‘accurate prediction models’ the setting is that fake AI is riddles with these passages and it is not just withholding treatment, the setting of treatment that a person is rightfully entitled to is getting shoveled under the carpet in way too many expected cases and the danger here is seen in “This causes the prediction to become true even if the original forecast was flawed” but anyone who knew IT in the 90s knew this setting that not just flawed, it grew the setting of the GIGO law (Garbage In, Garbage Out) as such the fake AI which was flawed became unreliable at best and flawed data never ever becomes a true prediction. It is like doing the right thing for the wrong reason, the reasoning becomes corrupt and at best defeating the purpose. Make sure that you take notice of the ‘at best’ setting, because in this age where validation and verification are nowhere to be found the fake AI becomes a point of hindrance. And Personally I think that this is now becoming an issue and the is why we see people like Sam Altman, Dario Amodei, Elon Musk, Mustafa Suleyman, Sundar Pichai and Demis Hassabis becoming more and more cautious in all this, or at least that is how I see it. They all most have been aware of these settings, but I reckon that these settings are taking rather large settings and they are ‘whisking’ it away in the hallucinations setting of perhaps something like a rogue AI settings, but when you realise that this is all driven by advanced predictive analytics. The stage becomes a dangerous one. We see the joke with the setting ‘Is this mushroom edible’ and we laugh, but the underlying setting is not a joke and it is hammering on our rights in numerous directions.
Then we get a part I am not too familiar with. It is the setting of Runaway Feedback Loops: In areas like policing or resource allocation, sending more personnel to targeted neighborhoods generates more recorded incidents in those specific zones. The model misinterprets this as proof of higher crime rather than a product of increased surveillance. (Source: Gilbert and Tobin) there are two settings in play, proper administration of case identifiers and the second are the sources under the cause of the action. I still think it comes from inadequate validation and verification, as such I could be wrong and the setting could be due to predictive analytics, but I reckon that this interacts with systems like Palantir and other systems. As such the interaction of more than one fake AI. But it could be relevant to this setting.
Then lastly we get two elements and they seem to be connected, but they are not. They are the stages of confusing correlation with actionability and the actions of the premise of what correlates and what is actionable. It feels like Palantir, but it is not merely them, it is mostly seen in hospital records and the healthcare records and optional insurance records, this is what is the likely culprit in what I speculatively call the pretense of cause and effect and whilst insurance is setting the premise of ‘This is not covered’ and the other systems trying to adjust, because the doctor said it was essential. Most countries have a good handle on this, but I am not sure the United States is on that par. And it all interacts with a high risk of methodological flaws: Studies show that many machine learning prediction tools suffer from poor data handling, overfitting, or inadequate sample sizes, leading to a high overall risk of bias when deployed and that is where I am different. I always considered all AI (which I call fake AI) as a joke and I am not taking it seriously, especially after I got word of some acts by said bank. I was never able to get the released goods, but that is the setting we are in. And what I have stated for the longest time “It all comes down to verification and validation” until that happens you have a trillion dollar failure on your hands. But that might merely be me. So when did you get any good answer from any vendor on AI? As a funny reference I am going to the Changeling (1980) with George C Scott, a decent movie and I enjoyed it, but what is Eric Winter doing there? He was born in 1976 and the movie was made in 1979, he would have been 2 years old. He seemingly started acting in 1999. If Google cannot get that part right (IMDB did make the correct references, like the unnamed actor being Erick Vinther) how much faith can you have in any fake AI? A simple setting of validation and verification. Oh, and I called out that mistake close to two years ago.
So have a great day and maske sure that you verify that it is Friday, because you never know who hands you the data.
Yup, that is what I saw on LinkedIn this morning and behest and behold, when I scrolled back to that it had vanished (stupid Microsoft), but the thought had invaded my mind and I have no idea who, what or how it was given to me, or even who was behind that dog, but it gave me a few ideas. You see, what I saw was mention that it had the ability to charge smart devices (which is not the worst idea) but my mind went wandering from that. So, whilst we keep the smart charging of devices and we get the optional mobile charge surface on that fido, there is a setting that could be beneficial to the elderly. Like a built in alert setting for emergency responders. And whilst we do not want to steer clear of the other devices, the idea to have a secondary alert system online, might be really helpful for these people. Then there is the charging (what I read) and optionally could be used to keep track of household smart devices. Then there is the alert setting for kitchen fires as the U.S. Fire Administration (USFA) and the National Fire Protection Association (NFPA) report 167,800 residential building cooking fires and that might be with a lot less damage as this Fido gets to sound alerts when it picks up the smoke in the house. Optionally there are smoke detectors, but a smart switch that cuts out gas is not the worst idea and I have no idea on how bad that data was in 2023, the stage that over 150K instances were at least reduced and optionally avoided could spell a few instances in this. Then there is the ability of gas detection, which might avoid a few issues and from there we get to electrical settings and there are a few benefits to see as well. So, whilst I have no idea on how far this Fido is actually implemented, the benefits are very real. I reckon that a small rotating beacon with Purple for biohazards (like gas leak), Red for fires and Blue for police and blue/red for ambulance and that is merely the indicator light, so that any first responder has an indication on what is happening and there is a midden benefit, there could be a roof indicator that pics up what Fido detected and that could alert the neighbours. All settings that in any place where there is the dangers of isolation could alert the neighborhood of any issues around them.
I would say simplicity itself, but whomever was taken with that design could have already have thought of that. But the story was take away by (what I see as a stupid greed driven acts by Microsoft) As such I see no reason to not write about these thoughts and ideas I have and perhaps someone merely saw that digital fido as an entertainment tool. All whilst there is a shortage of assist dogs and I do not want to take them out of the equation, but the shortage on a global setting goes into the millions and it take up to two years to train them. As such this digital Fido has real merit and could be released on a much larger setting, so whilst we see the option to increase functionality with a mere patch, all whilst the dog cannot duo all the things Fido does, but that is not against the dog, it has abilities that Fido can never match, but there is a real shortage and as such these makers could seek to fill the hole as much as they could and that is before we see what Fido could do after a disaster. It might be able to seek disaster areas from victims and that is another field where they could be a real help and they could signal the larger need for its owners to emergency services. These are all mere thoughts I am having on the setting and perhaps the makers already had them and a few more, but as the (suspected) advertisement is gone, so are the options to see what was, what could become and what merely is suspected speculation and I am happy to blame Microsoft for this as it owns LinkedIn, as such goes the blaming finger.
And as I see the actual DML field, not AI (or SI) but actual Machine Language and Deeper Learning (DML, Deeper Machine Language for short) there are plenty of settings set on data we do have to make Fido a more prominent real thing in any family and you only need to find one person (optionally elderly) who has forgotten about the stove once, to see what this could be a real money saver. And this is merely one thing, so as I planted these thoughts in whomever makes these robotic dogs, there is a larger stage to consider and perhaps they already did and if they have consider this article a place to cross your T’s and dot your I’s, nothing more than that. You all have a great day today.
Yes, a difficult word and not one I understand all the time, that blissful feeling that oozes over me comes with a shortage and it is shared by all with a weak understanding of economy (not something that happens to people like Mark Carney), but I (the one and only) an at times blissfully ignorant of the economic condition. As such, at times, I fear that ‘weakness’, but I do not fear being weak on this, as such I try to keep awake (as like, not sleeping) on the economic condition. And I was ‘made’ aware of an article in TradingView by the headline ‘Michael Burry Warns Microsoft, Amazon and Oracle Could Face AI Write-Off Shock’ where we see “Burry said net capital investment by S&P 500 companies reached 2.07% of GDP at June 30, a level he described as the highest in nearly four decades outside the period following the 2000 Nasdaq peak. He estimated that Microsoft (MSFT), Amazon (AMZN), Alphabet (GOOG) (GOOGL), Meta (META) and Oracle (ORCL) have about $3 trillion in commitments and other exposures linked to AI infrastructure, including leases, construction projects and purchase obligations.” So, whilst we also see that these are the firms that ‘eloquently’ dismiss staff members all over the globe, the idea that 5 firms have over 3000 billion invested on fake AI settings (my personal view) is a little too shaky to consider and that needs to be taken into consideration. You see, I don’t care about Microsoft, they did this to their self, but I am concerned about Google and Oracle. They are the massive backbone of larger IT. And they are firms where I would have liked to have been part of and part of me still are. I deliver support and customer care and as such I believe that these two firms are part of what most of us really like. But I also see that if support and customer care diminish in these two parts of IT, customer care will really falter on a near global foundation and as such places like TradingView are making me aware of hardship coming our way and don’t take the words of Satya Nadella as some kind of gospel. A little less than 15 hours ago he basically proclaimed “Nadella thinks the AI industry is too self-obsessed to explain why anyone else should care. “I think we are way too self-obsessed as an industry about, look at us, how glorious we are,” he tells me. His prescription is to let the people using AI speak to its benefits and demonstrate that it creates economic opportunity for workers and the communities hosting data centers. More pronouncements from tech CEOs won’t do it: “Any amount that I say or any one of us say is not good enough anymore, I feel.””, I say that anyone claiming that a fake setting is glorious, I have said so again and again. And the ‘doubt’ (brought like a second hand car salesman in a championship voice) will not cut it and the people are figuring this out, right now, the world is figuring out that that AI is a sliding scale whilst more and more are realizing that this is over a decade away, so that issue with Trust is a hidden trap. He, in the near past stated that he “envisions a future where enterprises manage millions of AI agents working alongside human staff”, really? Microsoft cut more than 15,000 jobs across two major rounds in 2025 to reallocate resources toward massive artificial intelligence (AI) infrastructure investments and 4800 jobs in 2026. That is massive and the claim that “An autonomous “always-on” digital teammate running on cloud servers that can work 24/7 without waiting for a prompt. Users assign it a name, role, and goal to track project decisions, watch channels, remind colleagues, and manage multi-step workflows” I reckon he got that ‘Always on’ from Don Mattrick and you know what happened there. It basically costed him the entire gaming branch Microsoft ones had and now that is basically gone. And then for the longest time he ‘proclaimed’ that “Microsoft and industry research project that more than 1.3 billion AI agents will be in operation across global business systems by 2028” and whilst we can see that 1.3 million (a 0.1% part is coming true, the idea that the 99.9% comes within the next 14 months is laughable to say the least. It is predictive speculation (which is nothing like predictive analytics) and he better adjust his point of view and I saw that even before he made that claim. I speculatively am considering that he has been sniffing the Microsoft glue too much. So as we all take notice of this, we also see that people Like Oracle have been footing the hardware and software bill and the makes sense, because no matter how I see things, even in predictive analytics, whomever holds the hardware and software will become undisputed rules of that field and that is where I see Oracle going, as such “Oracle has cut approximately 21,000 jobs globally (about 13% of its workforce) over the past year as part of a major corporate restructuring to fund massive investments in artificial intelligence (AI) and data center infrastructure” (source: BBC) makes little sense. In all earnest, if people are to embrace the data centre vibe, Oracle needs more, not less people. Because all these dim witted IT population out there needs to come massively aware of the shortcomings of data centres and with that the people who are learning that trinary beats binary in that field will take massive undertaking and even as Oracle is one of two players to be aware of that (Snowflake will be the other one) we can see that the world will undergo changes and massive ones. As such I felt that my ‘expertise’ in training, tech support and customer care would be my asset when all this hit and that current population of ‘yay’ sayers will undo itself in a haze of confusion when the world gets the setting that they had been betting on the wrong horses all along. It basically would set me up for a better job in the currently near future in Canada, the UAE, EU or other commonwealth places. Because the truth is that when people are figuring this out, the people they fired at Oracle will be worth their weight in gold and I feel that I would be on the ‘good’ stack of people discarded a little too soon and the was making me happy.
So to see the View of TradingView where we also see “Burry expects investment to keep rising and said write-downs could emerge around 2028 or 2029 if AI capacity exceeds demand. He compared the current spending cycle with the late-1990s telecom buildout, when heavy investment was followed by excess capacity, weaker returns and substantial depreciation. He also questioned Oracle’s treatment of customer prepayments and cited rising financing concerns surrounding its large data-center projects.” But consider that he states that “when heavy investment was followed by excess capacity, weaker returns and substantial depreciation” comes with shortage of staff and the ‘figment’ setting of 1.3 billion AI agents. The pure waters will require tens of thousands of support staff, because when that part goes, the global customer care and customer support stations will be empty of people and anyone not ready there will be requiring that group of people to be fought over and quite hard. And in all this, no one is looking at the requirement of IBM at that setting and it will acquire as many ex-Oracle staff as they can for the mere need of support for its IBM Bob (basically the IBM Watson AI branch) coding agents and that shortage needs to be filled up fast, because as we are given “IBM Bob Powers Faster Innovation, Higher Productivity & Modern App Development. IBM Bob Accelerates Development by Automating Complex, Time‑Consuming Works. Earlier Risk Detection. 100K+ visits in past month” Yes, there is a market for those who are putting in the time and the hours and that is where (at present) IBM will surpass all others and whilst I hate to see that Oracle is to be surpassed, they did this to themselves. But as I see it, the market is ruled by those who steered firm and clear past the ‘AI BS’ that the world is drowning in and IBM is one of the few who seemingly did this. So whilst Oracle, Amazon and Google will require strong readjustments before 2027 cones to an end, they will feel the heartache (preceding their own upcoming coronary) and I felt that as I took all settings of training, customer care and technical support in strides, feel that I am in a really kosher place. Whether this is in Mississauga, Abu Dhabi, Sydney or Stockholm. I felt that I would end OK is a pretty cool feeling and as I see it, Oracle and IBM are pretty good bosses to end up with. So I saw that other who saw this too, because they were actively hiring the fired Oracle staff members and that is fine with me. There is a whole world that will scream “Who can we hire?” And I am merely listening to the sound web for the right signals. And that is more than all he wrote. And the ‘end’ quote on “The remarks center on future capital intensity, with the impact depending on how quickly AI demand develops relative to new capacity.” Sounds right, but it is not. Well, perhaps for Michael Burry it either is or might be, but the larger setting is that whoever have the stuff to guide whatever the larger population of IT sweeps need, the stronger that firm will be and I reckon that Snowflake is in a decent place and IBM soon will be and after that I hope that Oracle reattaches the needs it has, but the others? They will become canon fodder and consider that someone (not saying who ;-)) claimed that someone claimed that 1.3billion AI agents are doing the work in 2028 and then fires over 20,000 people and leave someone to rehires and retrains them was a little of his game. But when you rely on your own marketing to tell you the story, that is where you are heading. But that is merely my own (and optionally wrong setting). So whilst I am ‘considered’ the false prophet and I have been stating the same thing for over 5 years, all whilst the ‘adjusting impressionable’ influencers adjusted their own story each and every wave and I am still in the setting that this AI (or super intelligence) is still over a decade away, all whilst my setting of advocated predictive analytics is now shown to be a correct view is now accepted by the IT community at large is the stage you should be considering and Michael Burry is seeing a different part, but this adjustment of over 3 trillion is coming and whoever is caught in that wake will face serious considerations and whilst I am still dreaming of a nice apartment in Mississauga or Toronto is seeing where the power will soon reside, is showing a massive setting that might come with hard work, but I reckon that these places will prefer a person who saw this in the first place instead of a YAY sayer who is adjusting their view for the umpteenth time is feeling like the proper boss to work for.
So as I see it, my time of cakes, putting and a nice warm living room is about to see the light of near luxury. And it merely took my smarts, which is what any Uni graduate will like from the get go. Have a great day all.
That is the image I see. It is an old story (I believe it came from the Donald Duck comics) and it was the 70s when I saw that particular story. Cattle was being ‘mismanaged’ and the three ducklings (aka Huey, Dewey, and Louie) found out what was happening. The diamond ranch, the W ranch and two more were missing cattle and it was the XXX ranch that had acquired them. The diamond was hidden in the 2 XX’s and the W was part of the XXX brand. It was a simple rebranding. Clever (I was merely 8-10 years old) but that was the simplicity of my weekly Donald Duck. So when I saw the News dot com dot AU and Defense One giving us ‘‘Super Intelligence’: the president’s new term for AI, explained’, his actions make perfect sense. You see AI doesn’t exist and whilst the courts are figuring out just how much it doesn’t exist yet. You see, what they all call AI is merely an advanced form of predictive analytics, with the margin of LLM, Machine Language and Deeper learning (I call that DML, Deeper Machine Learning) but it can only react to data it has and it is all done binary. My personal feeling is that real (or true) AI requires trinary data. But that is not what matters now. The setting is that more and more court cases will come and that presents a difficult case for these ‘AI vendors’ there is already the setting of copyright ‘theft’ (as I personally see it) and I have been a victim of that, thousands of my articles were (I assume) used for training. And whilst we see this, we now see that rebranding is in order and the President now calls it ‘Super Intelligence’ and that avoids the court cases where they take out the writings of Alan Turing and use that against these (now called) ‘Super Intelligence’. As such it is a clever ploy, but the ‘contracts’ out there will all require ‘reissuing’ if that is al all possible, if not the current court cases will commence, but new court cases are unlikely be successful because all the new court cases cannot use Alan Turing against ‘Super Intelligence’ I can still hold my ground and I will be proven correct over the whole range, but these ‘Super Intelligence’ can now hide behind a ‘miscommunication’ setting like they always do. I think it is hilarious that all these people hiding behind millions are so bad in communicating. Is that where their skills lie?
(Just asking), but there is a larger setting, you see this ‘Golden age of Super Intelligence’ will need rebranding and that is where the shoe will not fit. These investors have been suckered into the trough of Artificial Intelligence and I am speculating that these people will try to get out during or after the rebranding and cut their losses. Because they fear what they have since decently recent feared all along. They could lose what they once had and that is the next step in this ploy. So when we get to “President Donald Trump on Tuesday announced a rebranding of the term “artificial intelligence,” saying during the United Nations General Assembly that from now on, it will be called “super intelligence.” “From this point forward, all of United States’ documents, and hopefully the world’s, will be changed to use the much more accurate term, ‘super,’ as opposed to ‘artificial’,” he said.” And it is the setting “hopefully the world’s” is where these second hand car salesman (aka AI vendors) see the setting that they are ‘merely’ adhering to what the President of the united States requested and required and it gets them off the hook (which is how I see this).
So when we get to “Though the rebrand may have been a surprise to many, superintelligence is already an established term in AI literature. It was popularized in philosopher Nick Bostrom’s 2014 bestseller Superintelligence, which defines the term as “any intellect that greatly exceeds the cognitive performance of humans in virtually all domains of interest.” Artificial superintelligence, or ASI, thus refers to future AI systems that could be much smarter than humans, and contrasts with the weaker forms of AI that exist today.” And as far as I can tell, they all are silent on Alan Turing, that ship has sailed and now the age of damage control starts. They overreached and they fell short and now this so called golden age needs to be contained. These second hand car salesman all need to reset their views and they will all hide behind the miscommunication of new technology, but now it is all better, it will all be great and it will not. There is over two point five trillion dollars invested in all this and how do you think that will fare?
And I personally think the quote “But others say the possible renaming contributes to an ongoing conversation about AI’s growing abilities.” Relies not just on ‘contribution’ but to a larger extent to the stopping and avoiding of legal matters now in full swing. In addition ““‘Super’ does align well with the fact that AI is exceeding human capabilities in a growing range of tasks and by increasing margins, which can have distinct national security implications beyond simply matching human performance,” said Caleb Withers, a research associate for the Technology and Security Program at the Center for a New American Security.” Yet the entire ‘leap of faith’ the act in absence of data is also painted over. A strength that people have it seems that the article does not bare this out and the setting where we see this all important person named Caleb Winters is used to obfuscate what exactly? So whilst the article ends with “Trump reportedly worries that an AI slowdown could cause a market crash, and sees “super intelligence” as a critical sector for America to stay ahead of China. “Whoever wins AI, you have to remember this, and now I say, whoever wins SI, whoever wins super intelligence, wins. That’s the group that wins.”” And it is mere deceit. AI will take over a decade and that has been clear for some time, rebranding this does not alter the fact. And (as I personally see it) setting the “a critical sector for America to stay ahead of China” is even more laughable. Because the west is playing hockey with a Trump card (grok vs OpenAI vs Google Gemini vs whatever Microsoft has vs whatever Amazon has) and that goes up against whatever China has and so far I am not impressed with the results. I have no idea where China stands because I categorize all AI as fake AI, no matter where it is from and I gave my reasons in several articles. So far I have been proven correct nearly every time (I prefer nearly as I am unlikely to be aware of everything) but the setting of this rebranding bothers me. In one setting that it was only possible if all the involved parties were aware of the dangerously thin ice they were on and as we get a song and dance of musical chairs where they all point at each other and state “We are abiding to the needs of our president” and more of that, all whilst they comprehended that this state was nearing its end. The Motley Fool gave us 4 hours ago ‘Sam Altman’s OpenAI Is in Talks for a New Funding Round Valuing It at $1.2 Trillion Instead of an IPO. Here’s Why He Called Going Public Now “Ill-Advised.”’ Where we see “In a recent interview with Fortune magazine, Altman said that — in light of safety concerns regarding OpenAI and other similar artificial intelligence platforms — “right now would be an ill-advised moment to go public.”
The safety concerns in question are the prospect that AI systems could make unchecked decisions on their own that result in measurable and meaningful harm to humanity, up to and including taking actions that cause human extinction.” I personally feel that this is a false statement and it has been a long time in the making and they fear (all these vendors) that the comedy caper ride is ending and as we n ow see the age of rebranding, there is more to come, but that takes time and the delay of over a decade will not be met and as I see it the involved parties are all aware of that.
So, when you see these proclaimers of AI in the background, see that they are merely influencers trying to appease the hordes of people like flim flam artists and connected to all this are the vendors. The one advantage this gives us are these flim flam artists is the need to ‘adjust’ their story and I reckon that they aren’t all seeing eye to eye on any of this, because once burned twice shy. (An adjusted expression) and that is where we are at present and it is not over yet, not by a long shot and there is a third setting. Where exactly is China in all this, because that matters too. Because the actions of China in all this will reverberate all over the EU and the Gulf States and I wonder if the players in this game considered that. But as I see it, hatred of China won’t matter because the people have their vested interests and no interest in hatred that is where President Trump as well as the United States are flawed. So whilst we were given “whoever wins SI, whoever wins super intelligence, wins. That’s the group that wins” they seemingly forgot that SI is a new term, rebranding has a downside, it requires time and it seems that these wielders forgot about that. They need to rebrand their fake AI and at present the people are confused, it is all happening too fast and it is happening all whilst the people are realizing that their AI is not any kind of Super Intelligence. The people are realizing that they invested in an Edsel and you know what happened then, do you?
That is merely my view on this and I reckon that I am seeing it correctly, if not you can brand me the towns idiot. Because that is true too, I could be wrong. Only the king of idiots thinks that his truth is the only one that exists. I believe I am correct, but I will always consider that I could be wrong, it is a requirement of critical thinking. Have a great day you all.
That is what I am seeing and people who claim that I am so wrong could be correct. I don’t think anyone has any faith in what this Trump administration is trying to do and whist we are given ‘What’s the US–China AI ‘hotline’ that Trump plans to pitch to Xi Jinping?’ The first thought that comes to my mind is “And China cares about what Trump will bring?” And this is the first feeling that evades from my regarding the Al Jazeera article. So whilst we accept the concept of “Washington and Beijing discuss AI hotline idea amid escalating competition and restrictions on advanced technologies.” There is literally nothing bringing hope on whatever the message from Washington is. This is the consequence of a tour gone bad. So whilst we were given 2 hours ago (source: The Guardian) ‘Houthis move to seize strategic terrain after Trump calls off airstrikes at last minute’ we need to wonder what President Trump has achieved in the last 200 days whilst he started to Bomb Iran, now its Houthi terrorist allies are given some kind of fictive shield to attack Saudi Arabia. As such China needs to consider who they could topple whatever Washington does and that AI hotline should be placed in a DeepSeek AI IT tech centre. So when he calls it, we could get the following conversation
[Trump] This is President Trump, we have an AI that has gone wild What version of DeepSeek are you using? [Trump] We have no DeepSeek, it is ChatGPT, I think it is the beautiful latest version And why would we care what your fake AI is doing to you? [Trump] Is this the AI hotline? this line is hot, we are always helping our DeepSeek users, we have over 130 million active users. [Trump] disconnecting line sound
You get the idea, because the only people thinking that there is a Fake AI issue are the non-Chinese and with “The United States wants a new “notification mechanism” with China to warn each other when an artificial intelligence incident becomes serious enough to threaten national security. The proposal, effectively an “AI hotline”, was discussed on Sunday during talks in New York between US Treasury Secretary Scott Bessent and Chinese Vice Premier He Lifeng, ahead of a summit between US President Donald Trump and Chinese President Xi Jinping in Washington this week.” And the setting is real enough. Why would China worry of anything serious enough to threaten US National security? Think about that. The entire setting is a delusional setting and when we realise that there was a clear reason for me to call all AI fake, you might see where where this article goes. I reckon that the Russians are howling with laughter. And I reckon that China is on that same setting. There was someone who who brought this up to the surface today.
Ben Affleck gave this interview 8 months ago. You can watch it (at https://www.youtube.com/watch?v=qmgKA1FmKdk) and it is what I have been saying all along and being how he states it is quite brilliant. I use way too many characters to say the same thing. And when you realise where AI is, you gets to see the clown setting that President Trump and US Treasury Secretary Scott Bessent are trying to pose to you. And this setting is merely two comedy characters trying to grow a case and a seeing that does not now, likely not ever come into play. Because in all this the setting relies on a True AI and not fake AI and we are over a decade too soon for that and whatever you see anywhere, and likely the valuation isn’t likely to happen any day soon, because they are already in a fight to keep their heads above water and that is less and less likely to happen now, especially as Iran and their Houthi terrorists are attacking Saudi Arabia. So whilst President Trump is halting their ‘drop-off’ points for things that go BOOM, oil is now not reaching the places that need it to fuel data centres, as such the capital expenditure will fail to meet the settings it needs to be and as Ben Affleck stated, the next wave might be 25% better, but cost 400% more and the return on this investment will fail near immediately and I saw this years ago and because several points aren’t being met the entire setting of fake AI is faulty. I see options and they are great, but also based on data that is available and AI needs to go further and that is still at least 5 steps short of what some people call True AI. So in this setting President Trump is trying to sell an AI hotline?
What is he? The representative of Radio Rental? (People in the UK and Canada will get this reference), so whilst we are given “US Treasury Secretary Bessent said Washington had proposed creating a US-China AI dialogue, with particular focus on national security and a notification system covering “common goals and common threats”. “We think that, just like with any cross-border activity, that moving from opaque to more transparency between the number one and the number two AI powers in the world is very important,” Bessent told reporters after Sunday’s discussions.” I see a failing setting in several places and whatever this hotline is, it is not about AI. So whilst we think that there is progress with ‘OpenAI Urges Washington to Lead Global Effort to Create AI-Safety Standards’ (source: WSJ) and the text given is “OpenAI is asking the U.S. government to lead an effort with other countries to develop global safety and security standards for building cutting-edge artificial-intelligence systems.” It is my personal believe that Sam Altman and his OpenAI is now entering the setting that Ben Affleck described as “the next wave might be 25% better, but cost 400% more” and Sammy Altman cannot sell this, so he needs a governmental buffer, so ho can state something along the way “We are ready, but the government wants security buffers” this is what I expect to happen and they have trillions in the mix and the longer they can postpone this, the safer they are. And in all this the inactions towards Iran and Houthi terrorists is changing that premise as well, because until last week no one every expected that Saudi Arabia would halt its oil deliveries and that will be hitting all over the EU soon enough. Their option will be that Canada can make some of the deliveries, but I reckon that it cannot fulfill the 100% required (I actually have no idea how much Canada could deliver within the next month) so that is another setting the EU will ave to deal with.
I advise you to watch the Ben Affleck interview on YouTube, it is near brilliant. So am I delusional, or it President Trump delusional? I am leaving this in the middle, because in several cases it could be me and when you realise that I was right all along, you will see the first setting of this delusion. The idea that fake AI is ‘this dangerous’ that a hotline with China is required, becomes a joke in itself. Because DeepSeek has been accused of distilling data and all kinds of acts, all whilst there is a massive shortcoming on Validation and Verification of all these fake AI engines. That realisation gives rise to the failing to meet the return on capital investment and that is the part that relies on trillions. It is a neat little line that goes everywhere and at that point. What would you think of Sam Altman and their ‘worries’. This is the stage you are all seeing and some are merely reporting this news. This is not on the Wall Street Journal, Al Jazeera, BBC, or CBC, but someone is fueling a fire in the wrong areas and you need to ask questions about that.
