Tag Archives: AI

How Google is losing the plot

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. 

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) 

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End of a fairy tale

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.

Have a great day 

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Changes

I see the world of changes going towards me and I am fine with it. Some are distinctly different, some seem mundane and similar. There is no real way to see what is what and the setting of what matters is not that important. I learned early in live that the sum of it all matters and how you impact it, it’s like standing on the axial of the seesaw. Impacting how you distribute the weight to make the seesaw going one way or the other. It makes you a game decider, a tactician. 

But before you think that I am so ‘important’ (I really am not) but there is a side that ‘haunts’ me. I am no politician, even if tactical people need to have a political frame of mind it is not the same. People like me are able the see the lie (perhaps ‘intentional miscommunication’ is a better term) and when we see ‘Steve Moore: US economy is blowing away other nations despite inflation’ we see the lie. When we are given “Unleash Prosperity co-founder Steve Moore joins ‘Mornings with FOX Business’ to discuss the state of the US economy, highlights strong investment numbers and argues that the US is economically outperforming other nations. Analyzing the U.S. economy’s strength, Unleash Prosperity co-founder Steve Moore joins ‘Mornings with FOX Business’ to discuss resilience against inflation. Moore argues the United States is outperforming other nations and notes that international investors are betting on America, dismissing pessimistic narratives.” (Source: Fox Business) In what universe is the US in a state of strength? President Trump keeps on missing the goals, making threats and bully his way through this world. At present US tourism is over 5% down, the US economy is based on a set of 6-8 players handing money to each other calling it economy. Tens of thousands lost their jobs in this economy and whilst we are told “The U.S. economy added 29,000 jobs in September 2026, falling short of the expected 90,000”, others like Indeed give the world “Now Hiring: 247000 USA Jobs”, they did this is 2013 as well, offering hundreds of ‘jobs’ in places that needed them, scouring the world for data. And now you see that this ‘resilience against inflation’ is so clueless when the US Tourism is losing to Europe, Asia and the Gulf states. Then we see ‘The U.S. Economy Just Delivered Bad News. History Says It Could Be Good News for the S&P 500.’ A two tailed story where we see “High interest rates have become one of the market’s biggest boogeymen. While the short-term impact can be minimal, over time they can increase borrowing costs, slow economic growth, and become a drag on corporate earnings. But those things occurring while economic growth is still healthy and earnings growth is strong might not be the worst thing in the world. In the current situation, slower job growth could lead to lower rates, but at the same time, potentially not slow the economy enough that a recession becomes a risk. If the economy can strike an equilibrium where inflation and interest rates fall but GDP growth and earnings growth remain positive, it can produce the ideal environment for stock prices to keep pushing higher.” The story sounds and feels true, but now we get to see the two-sided side. As I see the the US economy supports the people, and bad news here is not good news for them. It optionally is reasonable news for the members of the S&P500 and the additional “Long-term investors should probably just stay the course. The market has been talking about AI slowdowns and corrections for most of 2026. Yet the S&P 500 is up 14% year to date and the Nasdaq-100 is up 24%. There’s no sense in trying to predict these things and changing your portfolio because of it.” But the setting is close to changing, the setting of AI is fake (if you read my blogs you know the reason) the people are getting aware and we see: “Class actions have become a recognised enterprise risk, shaped by cyber incidents, regulatory scrutiny, shareholder expectations, ESG obligations and emerging technologies. Organisations can’t afford to view them as isolated legal events.

Our survey of senior legal, governance and risk professionals across corporate Australia reveals a clear shift: class action risk is increasingly viewed as a Board-level issue requiring stronger governance, oversight and organisational readiness.” The Law firms are aware. Herbert Smith Freeholds Kramer for one. So as the world of AI (Super Intelligence for Americans) is getting swamped with class actions (I need to take part in one as they are stealing my stories, which they call ‘training data’ we see a different story. The different story is that those in deep, too deep, implies that they need the train to continue so that they can cash in on their losses and make them other peoples losses. To see a ‘class action risk’ simpler as a ‘Board-level issue’ implies that they need to law to change, the law no longer suits their purpose. I reckon that first IP laws will undergo ‘changes’ so that the (as they say it) ‘the good of commerce can continue’ then they go into patent law so that these Predicted Analytics systems could score the roads and claim the IP of others and as such these 8 players get to claim the next generation of inventions, because those who create the items the next generation needs, these settings that will get them the  economy, the vaults and wealth of itemized goods. So, in one stroke, they get the wealth of the planet and they will all claim it was theirs all along. But the ideas that I (and thousands of others created) what happened to them? Should I just hide and keep it a secret? That is what they want. I fought it to make some of it public domain, they can’t get it in this way and there is more, whatever IP I create are some in some way expected steps of what was to come became public domain. I might lose the revenue of what I would have never gotten in the first place, I can rely on ‘the law’ to do me a thankless solid and get me the revenue for. My stories and as there are plenty of logs showing that a ‘few’ nameless people taken several times the stories I wrote (over 7000 times) and even if the settlement is merely $10K per story, I will be set for life and not just me, thousands of people will get to claim that setting and it is why the legal setting (according to them) needs to change. First they sack tens of thousands of people, trying to ‘pay’ for their upsell of revenue of these ‘fake AI’ systems and now they are losing so much more to all these class actions. Our benefit? Most lawyers are greed driven (they call it ‘billable hours’) and if they make enough hours, I (and many others) get paid. It is one way to balance the seesaw and shift that balance in favour of us, the victims of theft. 

But the setting goes deeper than that. You see, these ‘delusional’ settings of the economy will hit the American people. At present we are given “Share of Alleged Losses: AI filings represented roughly 13% of core securities filings, but accounted for 73% of all alleged investor losses measured in the period”, “Disclosure Dollar Loss (DDL) Index: AI filings accounted for $385 billion of the DDL Index (73% of the total” as well as “Maximum Dollar Loss (MDL) Index: AI filings accounted for $1.3 trillion of the MDL Index (73% of the total), with technology sector filings reaching $1,445 billion in MDL overall.” And as these are the views that are not just bad for Americans? They are disastrous. Because as I said, “(as they say it) ‘the good of commerce can continue’” but it is set to them (singular) not the people, not the nations. For them and them alone, it is “board room thinking” and it requires changes for that to start, continue and settled and all that is happening right now, but it can only continue if they have these co called independent consultants to give us a ‘braided’ story that steers clear of what people need to know to decide.

But in the end, we get to decide and see where we want to go. But in the end, we should choose and I chose this setting. What others choose is their business. Ron Herbert (Dune) once said, “He who destroys a thing, controls a thing” I really like this. As such I made most of my ideas ‘public domain’ including the military IP for Saudi Arabia and the UAE. No reason to get contracts out, they can just act on them, a simple solution. 

So whilst you might think my ‘ramblings’ sounds useless, but the path we are given is not that clear. And we are getting overloaded by ‘so called’ data and that is where the predicted analytics is being used. To confuse us, not to inform us, other systems do that and these fake AI systems can figure out based on the data it is given. So whilst plenty of people will tell me I am as ‘daft as a doornail’, others will call me crazy as a cabbage. But I feel that I am on the right track even if I cannot perceive the whole stage yet, and that is perhaps because others have turned out the light, so that we merely see the headlines. But there is more, a lot more and I am not seeing it all (I’ll freely admit to that) 

Have a great day today.

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The issue with grandpa

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

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A New congregation

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.

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Just like that

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.

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Is there PMS?

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. 

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A string of rage

There are a few things that are intertwined. The first one is that the United States is stealing my IP again for whatever training setting they have and today it is a mere 2.1K articles. This coincides with the BS statement by president Trump giving us that ‘Trump wants Zelensky to ease strikes on Russian refineries’ (At https://kyivindependent.com/trump-wants-zelensky-to-ease-strikes-on-russian-refineries-ukraine-official-says-deal-must-go-both-ways/), but the dumbo dodo is not ware that wars go either way. It might want to go easy on Russia, but that doesn’t mean the Ukraine has to do that. Russia assaulted civilian targets of all kinds going back to February 2022. At that point some smart assed presenter told Russia and the world it would be a 48 hour setting, we now know that the second largest army in the world couldn’t defeat the 22nd largest army in the world and the settings go down after that. 

As we see, the Russians have already lost 1.5 million people and they are losing over 1000 a day, so the logistics is that the Russian army can sell whatever uniform they have to the population of the FSB, because as oil dwindles to zero, heating will become next to impossible. And perhaps the American population will take their looks towards Politico (at https://www.politico.com/news/2022/02/23/trump-putin-ukraine-invasion-00010923) where on that same day in February 2022, President Trump gave the world ‘Trump calls Putin ‘genius’ and ‘savvy’ for Ukraine invasion’, so is the redirected invasion of the Ukraine another failure of this Trump administration? It is there where we also see “Trump’s praise for the Russian president comes at a perilous geopolitical moment in Europe, where the Kremlin has amassed thousands of troops along the Ukrainian border. Already, Russian troops have invaded breakaway regions in eastern Ukraine that the Kremlin recognized as autonomous earlier this week. That recognition, as well as the subsequent invasion by Russian forces, prompted the U.S. and its allies in Europe to impose what President Joe Biden called “the first tranche” of sanctions against Moscow.” But that is not the whole story, is it?

You see, I have skin in the game now and I will act on it. So all these fake AI miners and data stealers have stolen my IP and they say it was in good faith, or that they are allowed to do that, because Trump gave us ‘Trump, AI CEOs sign voluntary safety pact, back data centre expansion’ with the subtext of “US President Donald Trump on Sept 29 said tech executives agreed to establish voluntary standards for AI and reiterated his support for rapid expansion of data centres, as concerns mount over AI safety and the industry’s growing footprint in communities.” And I suddenly realised something. My IP was meant for the destruction of Iran, but there is nothing stopping others from redesigning my IP into something that can be used against the USA. Railways and harbours in disarray, my IP sets the standards of these fake AI’s to something to be done against the USA. I still want my money, but now the disastrous setting that the USA faces can never be used against me. I never gave it to these fake AI vendors. 

And whilst we see that President Trump is pure pro Russian and Anti Ukraine, all whilst the Ukraine was attacked we can President Trump that he can go F*** himself as he gave president Zelensky ‘Trump wants Zelensky to ease strikes on Russian refineries’, I for one think that a lot more could happen to Russia, especially if 3 of the nuclear reactors are hit. Don’t worry my plan was not to blow them up, but when 3+ are out of commission, power and a few others settings become a near impossibility between November and April next year. I reckon that this is the least of bad luck settings Russia could be facing. I reckon that at that point the Russian population will revolt on mass. As such another escape plan of President Trump comes to a halt. Now he merely has Monaco and Nassau left and I reckon that these places will not have too much sympathy for President Trump either. And isn’t it weird that Australia and other places see that OpenAI is hacking them for months all whilst there is an urgent need for data centres? I wonder how long it will take certain people in power to realise that they are getting played in a massive way. But that might merely be my take on the matter.

So why now? Well I wanted that the ‘thieves’ of data set up shop in a multitude of ways and now there is no needing it and whilst I optionally walk away with millions, they get the scrub their data systems and I already gave you the settings that those systems aren’t working. My data is fully embraced in those systems. 

So is this merely me talking in anger? Well, in part yes, but I am looking at the rear or that train and I am seeing a total lack of control, as such I giggle in anticipation, because any reference that they make will be that they stole my IP, them being quiet implies that they have an escape and that leaves President Trump, and his AI dodo’s with the Ace of Spades. Simple logic and simple esthetical symmetry of events. I do believe I will enjoy this day. I wonder what will happen when the harbours in Texas and California get hit with assaults that their fake AI drove these terrorists to. Trump will be like those people at a funeral home answering to the ringtone ‘Another one bites the dust’ and the disapproving looks are given all over the place towards him. 

So a lovely day to all (except these thieves of my IP) and try to enjoy a great day.

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Pet dog with DML 

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.

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TradeDelicious

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.

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