Tag Archives: DML

July 12, 2025 · 05:34

IT said vs IT said

This is a setting we are about to enter. It was never rocket science, it was simplicity itself. And I mentioned it before, but now Forbes is also blowing the trumpet I mentioned in a clarion call in the past. The article (at https://www.forbes.com/councils/forbestechcouncil/2025/07/11/hallucination-insurance-why-publishers-must-re-evaluate-fact-checking/) gives us ‘Hallucination Insurance: Why Publishers Must Re-Evaluate Fact-Checking’ with “On May 20, readers of the Chicago Sun-Times discovered an unusual recommendation in their Sunday paper: a summer reading list featuring fifteen books—only five of which existed. The remaining titles were fabricated by an AI model.” We have seen these issues in the past. A Law firm stating cases that never existed is still my favourite at present. We get in continuation “Within hours, readers exposed the errors across the internet, sharply criticizing the newspaper’s credibility. This incident wasn’t merely embarrassing—it starkly highlighted the growing risks publishers face when AI-generated content isn’t rigorously verified.” We can focus on the setting about the high cost of AI errors, but as soon as the cost becomes too high, the staters of this error will get a Trump card and settle out of court, with the larger population being set in the dark on all other settings. But it goes into a nice direction “These missteps reinforce the reality that AI hallucinations and fact-checking failures are a growing, industry-wide problem. When editors fail to catch mistakes before publication, they leave readers to uncover the inaccuracies. Internal investigations ensue, editorial resources are diverted and public trust is significantly undermined.” You see, verification is key here and all of them are guilty. There is not one exception to this (as far as I can tell), there was a setting I wrote about this in 2023 in ‘Eric Winter is a god’ (at https://lawlordtobe.com/2023/07/05/eric-winter-is-a-god/) there on July 5th, I noticed a simple setting that Eric Winter (that famous guy from the Rookie) played a role in The Changeling (with the famous actor George C. Scott). The issue is two fold. The first is that Eric was less than 2 years old when the movie was made. The real person was Erick Vinther (playing a Young Man(uncredited)) This simple error is still all over Google, as I see it, only IMDB has the true story. This is a simple setting, errors happen, but in over 2 years that I reported it, no one fixed this. So consider that these errors creep into a massive bulk of data, personal data becomes inaccurate, and these errors will continue to seep into other systems. The fact that Eric Winter at some point sees his biography riddled with movies and other works where his memory fades under the guise of “Did I do this?”. And there will be more, as such verification becomes key and these errors will hamper multiple systems. And in this, I have some issues on the setting that Forbes paints. They give us “This exposes a critical editorial vulnerability: Human spot-checking alone is insufficient and not scalable for syndicated content. As the consequences of AI-driven errors become more visible, publishers should take a multi-layered approach” you see, as I see it, there is a larger setting with context checking. A near impossible setting. As people rely on granularity, the setting becomes a lot more oblique. A simple  example “Standard deviation is a measure of how spread out a set of values is, relative to the average (mean) of those values.” That is merely one version, the second one is “This refers to the error in a compass reading caused by magnetic interference from the vessel’s structure, equipment, or cargo.” 

Yet the version I learned in the 70’s is “Standard deviation, the offset between true north and magnetic north. This differs per year and the offset rotates in eastern direction in English it is called the compass deviation, in Dutch the Standard Deviation and that is the simple setting on how inaccuracies and confusions are entered in data settings (aka Meta Data) and that is where we go from bad to worse. And the Forbes article illuminates one side, but it also gives rise to the utter madness that this StarGate project will to some extent become. Data upon data and the lack of verification. 

As I see it, all these firms relying on ‘their’ version of AI and in the bowels of their data are clusters of data lacking any verification. The setting of data explodes in many directions and that lack works for me as I have cleaned data for the better pat of two decades. As I see it dozens of data entry firms are looking at a new golden age. Their assistance will be required on several levels. And if you doubt me, consider builder.ai, backed my none other than Microsoft and they were a billion dollar firm and in no time they had the expected value of zero. And after the fact we learn that 700 engineers were at the heart of builder.ai (no fault of Microsoft) but in this I wonder how Microsoft never saw this. And that is merely the start. 

We can go on on other firms and how they rely on ai for shipping and customer care and the larger setting that I speculatively predict is that people will try the stump the Amazon system. As such, what will it cost them in the end? Two days ago we were given ‘Microsoft racks up over $500 million in AI savings while slashing jobs, Bloomberg News reports’, so what will they end up saving when the data mismatches will happen? Because it will happen, it will happen to all. Because these systems are not AI, they are deeper machine learning systems optionally with LLM (Large Language Modules) parts and as AI are supposed to clear new data, they merely can work on data they have, verified data to be more precise and none of these systems are properly vetted and that will cost these companies dearly. I am speculating that the people fired on this premise might not be willing to return, making it an expensive sidestep to say the least. 

So don’t get me wrong, the Forbes article is excellent and you should read it. The end gives us “Regarding this final point, several effective tools already exist to help publishers implement scalable fact-checking, including Google Fact Check Explorer, Microsoft Recall, Full Fact AI, Logically Facts and Originality.ai Automated Fact Checker, the last of which is offered by my company.” So here we see the ‘Google Fact Check Explorer’, I do not know how far this goes, but as I showed you the setting with Eric Winter has been there for years and no correction was made. Even as IMDB doesn’t have this. I stated once before that movies should be checked against the age the actors (actresses too) had at the time of the making of the movie. And flag optional issues, in the case of Eric Winter a setting of ‘first film or TV series’ might have helped. And this is merely entertainment, the least of the data settings. So what do you think will happen when Adobe or IBM (mere examples) releases new versions and there is a glitch setting these versions in the data files? How many issues will occur then? I recollect that some programs had interfaces built to work together. Would you like to see the IT manager when that goes wrong? And it will not be one IT manager, it will be thousands of them. As I personally see it, I feel confident that there are massive gaps in the assumption of data safety of these companies. So as I introduced a term in the past namely NIP (Near Intelligent Parsing) and that is the setting that these companies need to fix on. Because there is a setting that even I cannot foresee in this. I know languages, but there is a rather large setting between systems and the systems that still use legacy data, the gaps in there are (for as much as I have seen data) decently massive and that implies inaccuracies to behold. 

I like the end of the Forbes article “Publishers shouldn’t blindly fear using AI to generate content; instead, they should proactively safeguard their credibility by ensuring claim verification. Hallucinations are a known challenge—but in 2025, there’s no justification for letting them reach the public.” It is a fair approach, but there is a rather large setting towards the field of knowledge where it is applied. You see, language is merely one side of that story, the setting of measurements. As I see it (using an example) “It represents the amount of work done when a force of one newton moves an object one meter in the direction of the force. One joule is also equivalent to one watt-second.” You see, cars and engineering use Joule in multiple ways, so what happens when the data shifts and values are missed? This is all engineer and corrector based and errors will get into the data. So what happens when lives are at stake? I am certain that this example goes a lot further than mere engineers. I reckon that similar settings exist in medical application, And who will oversee these verifications?

All good questions and I cannot give you an answer, because as I see it, there is no AI, merely NIP and some tools are fine with Deeper Machine Learning, but certain people seem to believe the spin they created and that is where the corpses will show up and more often than not in the most inconvenient times. 

But that might merely be me. Well time for me to get a few hours of snore time. I have to assassinate someone tomorrow and I want it too look good for the script it serves. I am a stickler for precision in those cases. Have a great day.

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May 30, 2025 · 15:34

The size of that

Something no woman has ever sad to me, but that is for another day. You see, the story (at https://www.datacenterdynamics.com/en/news/saudi-arabias-ai-co-humain-looking-for-us-data-center-equity-partner-targets-66gw-by-2034-with-subsidized-electricity/) In this DCD ( Data Center Dynamics) gives us ‘Saudi Arabia’s AI co. Humain looking for US data center equity partner, targets 6.6GW by 2034 with subsidized electricity’ and they throw numbers at us. First there is the money “Plans $10bn venture fund to invest in AI companies”, which seems fair enough. But after that we get “The company said that it would buy 18,000 Nvidia GB300 chips with “several hundred thousand” more on the way, that it was partnering with AWS for a $5bn ‘AI Zone,’ signed a deal with AMD for 500MW of compute, and deployed Groq chips for inference.” I reckon that will split and split again, the shares of Nvidia. Then we get the $5 billion AI zone and then the AMD deal for 500MW of compute and deployed Groq chips for a conclusion reached on the basis of evidence and reasoning. Yes, that is quite the mouthful. After that we get a pause for the “How much of Humain’s data center focus will be on Saudi-based facilities is unclear – its AMD deal mentions sites in the US.” As such, we need to see what this is all about and I am hesitant to mention conclusions for a field that I am not aware of. Yet, the nagging feeling is in the back of my mind and it is jostling in an annoying way. You see, lets employ somewhat incorrect math (I know it is not a correct way). Consider 18,000 computers draining the energy net of 500 watt per system per second. That amounts to 9,000 GW energy (speculatively), and that is just the starting 18,000. As such the setting will be several times the amount needed for fueling these AI centers. Now, I know my calculations are widely of and we are given “At first, it plans to build a 50MW data center with 18,000 Nvidia GPUs for next year, increasing to 500MW in phases. It also has 2.3 square miles of land in the Eastern Province, which could host ten 200MW data centers.” I am not attacking this, but when we take into consideration that amount of energy requirements for processors, storage, cooling and maintaining the workflow my head comes up short (it usually does) and the immediate thought is where is this power coming from? As I see it, you will need a decently build Nuclear reactor and that reactor needs to be started in about 8 hours for that timeline to be met. Feel free to doubt me, I already am. Yet the needed energy to fuel a 66GW Data centre of any kind needs massive power support. And the need for Huawei to spice up the data cables somewhat. As I roughly see it, a center like that needs to plough through all the spam internet it gets on a near 10 seconds setting. That is all the spam it can muster in a year per minute (totally inaccurate, but you get the point). The setting that the world isn’t ready for this and it is given to us all in a mere paragraph. 

Now, I do not doubt the intent of the setting and the Kingdom of Saudi Arabia is really sincere to get to the ‘AI field’ as it is set, but at present the western setting is like what builder thought it would be and overreached (as I see it) and fraudulently set the stations of what they believed AI was and blew away a billion dollars in no time at all (and dragged Microsoft along with it) as they backed this venture. This gives me donut (which I already had) on the AI field as the AI field is more robust as I saw it (leaning on the learnings of Alan Turing) and it is a lot more robust then DML (Deeper Machine Learning) and LLM (Large Language Models), it really is. And for that I fear for the salespeople who tried to sell this concept, because when they say “Alas, it didn’t work. We tried, but we aren’t ready yet”, will be met with some swift justice in the halls of Saudi Arabia. Heads will roll intuit instance and they had that coming as I foresaw this a while before 2034. (It is 2025 now, and I am already on that page). 

Merely two years ago MIT Management gave us ‘Why neural net pioneer Geoffrey Hinton is sounding the alarm on AI’ and there we get the thing I have warned about for years “In a widely discussed interview with The New York Times, Hinton said generative intelligence could spread misinformation and, eventually, threaten humanity.” I saw this coming a mile away (in 2020, I think) You see, these salespeople are so driven to their revenue slot that they forget about Data verification and data centers require and ACTUAL AI to drag trough the data verifying it all. This isn’t some ‘futuristic’ setting of what might be, it is a certainty that non-verified data breeds inaccuracies and we will get inaccuracy on inaccuracy making things go from bad to worse. So what does that look on a 66GW system? Well, for that we merely need to look back to the 80’s when the term GIGO was invented. It is a mere setting of ‘Garbage In, Garbage Out’ no hidden snags, no hidden loopholes. A simple setting that selling garbage as data leaves is with garbage, nothing more. As such as I saw it, I looked at the article and the throwing of large numbers and people thought “Oh yes, there is a job in there for me too” and I merely thought, what will fuel this? And band that, who can manage the see-through of the data and the verification process, because with those systems in place a simple act of sabotage by adding a random data set to the chain will have irreparable consequences in that data result. 

So, as the DCD set that, they pretty much end the setting with “By 2030, the company hopes to process seven percent of the globe’s training and inference workloads. For the facilities deployed in the kingdom, Riyadh will subsidize electricity prices.” And in this my thoughts are Where is that energy coming from?” A simple setting which comes with (a largely speculative setting) that such a reactor needs to be a Generation IV reactor, which doesn’t exist yet. And in this the World Nuclear Association in 2015 suggested that some might enter commercial operation before 2030 (exact date unknown), yet some years ago we were given that the active member era were “Australia, Canada, China, the European Atomic Energy Community (Euratom), France, Japan, Russia, South Africa, South Korea, Switzerland, the United Kingdom and the United States” there is no mention of the Kingdom of Saudi Arabia and I reckon they would be presenting all kinds of voices against the Kingdom of Saudi Arabia (as well as the UAE) being the first to have one of those. It is my merely speculative nature to voice this. I am not saying that the Economic Simplified Boiling Water Reactor (ESBWR) is a passively safe generation III+ reactor could not do this, but the largest one is being build by Hitachi (a mere 4500MW) and it is not build yet. The NRC granted design approval in September 2014, and it is currently not build yet. That path started in 2011. It is 2025 now, so how long until the KSA gets its reactor? And perhaps that is not needed for my thoughts, but we see a lot of throwing of numbers, yet the DCD kept us completely in the dark on the power requirements. And as I see it the line “Riyadh will subsidize electricity prices” does not hold water as the required energy settings are not given to us (perhaps not so sexy and it does make for a lousy telethon) 

So I am personally left with questions. How about you? Have a great day and drink some irradiated tea. Makes you glow in the dark, which is good for visibility on the road and sequential traffic safety.

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May 25, 2025 · 00:15

When the setting fits

That is at times the thoughts we have. Now, let me be clear. This is pure speculation. It is speculation because I am not in politics (not even the shady kind) and as such it cannot be presumption. There is no best educated guess, there is merely a best guess and the setting fits several thoughts I have had in the past. It all seemingly fits. It doesn’t make it more true or more reliable. 

That is something you need to keep in mind from the start and this was all set in motion through Reuters, who gave me in the first instance (at https://www.reuters.com/business/apple-pay-25-tariff-if-phones-not-made-us-trump-says-2025-05-23/) with ‘Trump threatens new tariffs on European Union and Apple, reigniting trade fears’ and here we see “U.S. President Donald Trump threatened on Friday to ratchet up his trade war again, pushing for a 50% tariff on European Union goods starting June 1 and warning Apple he may slap a 25% levy on all imported iPhones bought by U.S. consumers. The twin threats, delivered via social media, roiled global markets after weeks of de-escalation had provided some reprieve in the tariff battle. Major U.S. stock indexes and European shares fell and the dollar weakened, while the price of gold, a safe-haven for investors, rose. U.S. Treasury yields fell on fears about tariffs’ effect on economic growth.” A few thoughts came to mind. In the first “The twin threats, delivered via social media”, as such why not in an official setting? Why via social media? Is it because the threats might get rolled back? Is it because of non-repudiation? Then we get the Apple setting, why in America? Why is this so essential? (I will get back to this later on). And a few other thoughts are to mind. Then the article ends with “The president’s attack on Apple is his latest attempt to pressure a specific company to move production to the United States, following automakers, pharmaceutical companies and chipmakers. The United States, however, does not mass-produce smartphones – even as U.S. consumers buy more than 60 million phones annually – and moving production would likely increase the cost of iPhones by hundreds of dollars” keep this latest quote on the forefront of your mind for now.

Then Reuters gives us (at https://www.reuters.com/business/aerospace-defense/us-justice-department-reaches-deal-with-boeing-allow-planemaker-avoid-2025-05-23/) ‘US Justice Department reaches deal with Boeing to allow planemaker to avoid prosecution’ the two are actually more connected than you would think. Even as we are given “The agreement allows Boeing to avoid being branded a convicted felon and was harshly criticized by many families who lost relatives in the crashes and had pressed prosecutors to take the U.S. planemaker to trial. A lawyer for family members and two U.S. senators had urged the Justice Department not to abandon its prosecution, but the government quickly rejected the requests.”

Then last we get yet again from Reuters (at https://www.reuters.com/business/energy/trump-seeks-fast-track-new-nuclear-licenses-overhaul-regulatory-agency-2025-05-23/) ‘Trump seeks to fast-track new nuclear licenses, overhaul regulatory agency’ with the subtext “U.S. President Donald Trump on Friday ordered the nation’s independent nuclear regulatory commission to cut down on regulations and fast-track new licenses for reactors and power plants, seeking to shrink a multi-year process down to 18 months.” All this sets a premise of revenue. Boeing, the reactors and last (which I gave first) was the tariffs. America is desperate for revenue and I reckon the setting of the Microsoft linked firm going bust after being evaluated for a billion dollars didn’t help his need. He needs all revenue to come from America and all made there. It isn’t merely America First, it is the speculated setting that America is about to default on its loans. Well that Is how I see it and I might be wrong. The entire setting with the added setting of Greenland and Canada is that he cannot claim that America has plenty of resources making it a lot more wealthy, for that he needed Greenland and Canada. No, now he needs to move it all to America and that is where the problem starts. Because America wasn’t ready for that move, but that is as the America administration sees it, the problem on (and for) Apple. As I see it, this is a speculated final move before the American President has to admit that payment deals need to be made and they want to push it back as far as they can as the number one fear is that others will massively dump their US Bonds and that would instantly call for the near complete dismemberment of the United States of Bankruptcy. 

Could I be wrong?
Yes, I can be wrong. But this image seems to fit the partial shorts we have been able to see. The second option is that President Trump has completely lost it, but I do not think so. Too many settings don’t fit that view of him. Yet the knee-jerk reactions to keep on being seen as an “able to make payments nation” seems to fit the bill more. I reckon that the news last week regarding that Builder.AI is now commencing insolvency proceedings was perhaps the drip that broke the camels back as the expression goes. It is before Saudi Arabia and others would be pumping money into the United States, so there is that to come as well. As they say money must flow and the actions done (especially regarding Boeing) is all about revenue, not about the family of victims. Then we loop back to January when President Trump announced ‘Trump announces a $500 billion AI infrastructure investment in the US’ here I speculate that this was all about some Microsoft setting, at least in part and now that Builder.AI has become insolvent and it was backed by Microsoft gives rise to the 500 billion being set on shaky grounds. It’s like looking at the Chrysler building seemingly coming closer to view until you realise that it was build on a quicksand. And they figure this out after the building was complete and now the top of that building is making the rest sink into the marsh. As I see it (which is presumption in this case), is as AI doesn’t exist, that they had made clever moves with DML (Deeper Machine Learning) and LLM (Large Language Models) and that requires programmers and some extended programming, but the deeper you set your teeth into the pie, the harder it is to open your mouth without coughing up the pie. And the bad decisions made with Builder.AI (I do not know what they did wrong, but that is what some media gives us, you can read that in yesterdays story).

When this goes wrong with 1 billion, what do you think that 500 billion gets you? There are only so many programmers who are adept in this form of programming and that is before all the data is validated, which if it fails makes for a totally new timeline and that is the crux of this setting. 

But feel free to ignore these settings and see what happens. That I what I think is happening. Microsoft fell short and others might not be in the market for such a failure and when the 500 billion stays away foreclosure of the land of the forsaken and the home of the arrogant falls flat. 

Here in all this I might be wrong, I admit that upfront. The question that comes to mind. What is it? Why do we get such a knee-jerk operation from left to right and from beginning to end. Now we get the news that is 15 hours old. ABC (Australian Broadcasting Corporation) gives us ‘Reserve Bank on high alert for economic fallout as Donald Trump continues to spook investors’ If I am correct than this act is merely for the ones that holds these bonds will keep on holding on to them. And the second setting is “The bond market is now regularly questioning the value and stability of US government debt.” As I see it, the nightmare scenario for President Trump. He cannot pay anything over 10% of 36 trillion. When that happens America defaults on its loans. The nightmare that Wall Street fears. As we are given “In the lead-up to the passage of the bill through the US House of Representatives, the US Treasury Department tried to secure $16 billion of funding through the sale of 20-year bonds. It found the auction harder than usual to execute due to a lack of demand from investors.” And as I see it, making the other funds ‘more’ dodgy will work for the American administration and as such are the actions that I am seeing. Not because they are great actions. It is bullying not to go somewhere else and I admit that this is merely speculation. 

I leave it up to you do decide if I am right or if I have a case for my train of thought. But this is what I see, merely because I have been looking in this direction all along. And Moody’s downgrade, US debt had become riskier for the lender. That is a simple conclusion you can all consider to get behind. But if that is the case, the outstanding bonds are a bad bet because these bonds do not get reassessed, that is the bad bet they went into and the next step we get is when Moody’s set the credit from AA1 to AA2. But what happens after? I don’t think that the holders of these bonds will wait that long. They will sell wit a loss as not to see there bonds become ‘Junk’ material and those people will lose a hell of a lot of money. Consider Japan as it is with the debts they have also have around $1.13 trillion in US bonds and China holds $784 billion. If China dumps their US bonds, Japan will be force to do the same as not to lose too much money, but the  investors were already shy of the last auction and that was only for $16,000,000,000. Now we see that there is a risk that China sets 50 times that amount up for auction as such Japan is seeing the pressure to act before it is too late as it has almost twice the amount of China and the first of these two might get some money back. The one that flinches losses it nearly all. 

How would you see such a risk? And that with the Reuters articles made me speculatively realise that America is in a lot oof hot water at present, but my view is speculative. I have no hard data to back my thoughts, be aware of that. By the way, there is a second reason for the reactors, but I’ll let you work that one out for yourselves.

Have a somewhat great day.

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May 24, 2025 · 00:09

A swing and a miss

It is no secret that I hold the ‘possessors’ of AI at a distance. AI doesn’t exist (not yet at least) and now I got ‘informed’ through Twitter (still refusing to call it X) the following:

So after ‘Microsoft-backed Builder.ai collapsed after finding potentially bogus sales’ we get that the company is entering insolvency proceedings. Yet a mere three days ago TechCrunch gave us “Once worth over $1B, Microsoft-backed Builder.ai is running out of money”, so as such with a giggle on my mind I give you “Can’t have been a very good AI, can it?” So from +$1,000,000,000 to zilch (aka insolvency), how long did that take and where did the money go? So consider this, TechCrunch also gives us “The Microsoft-backed unicorn, which has raised more than $450 million in funding, rose to prominence for its AI-based platform that aimed to simplify the process of building apps and websites. According to the spokesperson, Builder.ai, also known as Engineer.ai Corporation, is appointing an administrator to “manage the company’s affairs.”” Now, I am going on a limb here. Consider that a billion will enable 1,000 programmers to work a year for a million dollars each. So where did the money go? I know that this doesn’t make sense (the 1000 programmers) but to consider that they might accept a deal for $200,000 each, there would be 5 years of designing and programming. Does that make sense? The website Builder.AI (my assumption that this is where they went gives us merely one line “For customer enquiries, please contact customers@builder.ai. For capacity partner enquiries, please contact capacitynetwork@builder.ai.” This is not good as I see it. The Register (at https://www.theregister.com/2025/05/21/builderai_insolvency/) gives us “The collapse of Builder.ai has cast fresh light on AI coding practices, despite the software company blaming its fall from grace on poor historical decision-making. Backed by Microsoft, Qatar’s sovereign wealth fund, and a host of venture capitalists, Britain-based Builder.ai rose rapidly to near-unicorn status as the startup’s valuation approached $1 billion (£740 million). The London company’s business model was to leverage AI tools to allow customers to design and create applications, although the Builder.ai team actually built the apps.”

As such the headline of the Register is pretty much spot on “Builder.ai coded itself into a corner – now it’s bankrupt” You see coding yourself into a corner is not AI, it is people. People code and when you code yourself into a corner the gig is quite literally up. And I can go on all day as there is not AI. There is deeper Machine Language and there are LLM (Large Language Model) and the combination can be awesome and it is part of an actual AI, but it is not AI. As such as Microsoft is believing its own spin (yet again) we can confuse that there is now a setting that Qatar’s sovereign wealth fund, and a host of venture capitalists have pretty much lost their faith in Microsoft and that will have repercussions. It is basically that simple. The first part of resolving this is to acknowledge that there is no AI, there is a clear setting that the power of DML and LLM should not be dismissed as it is really powerful but it is not AI. 

As I personally see it, the LLM is setting a stage that the chess computers had in the late 80’s and early 90’s. They basically had every chess game ever played in their memory and that is how the chess computer could foresee what was possible thrown against it. And until 2002 when Chessmaster 9000 was released by Ubisoft, that was what it was and for that time it was awesome. I would never have been able to get as far as I did in chess without that program and I am speculatively seeing that unfold. A setting holding a billion parameters? So I ,might be wrong on this part, but that is what I see and we need to realise that the entire AI setting is spin from greedy salespeople that cannot explain what they are selling (thank god I am not a salesperson). I am technical support and I am customer care and what we see as ‘the hand of a clever person’ is not that, not even close. 

So as we are also given “Blue-chip investors poured in cash to the tune of more than $500 million. However, all was not well at the startup. The company was previously known as Engineer.ai, and attracted criticism after The Wall Street Journal revealed in 2019 that the startup used human engineers rather than AI for most of its coding work”, as such (again speculation) a simple trick to replay a mere 1800 days later. And this is what a lot are (plenty of them in a more clever way) but the show is now on Microsoft. They cracked this, so when they come with a “we were lured” or “it is more complex and the concept was looking really good” we should ask them a few hard questions. So whilst we are given “While the failure of startups, even one as high profile as Builder.ai, is not uncommon, the company’s reliance on AI tools to speed coding might give some users pause for thought.” And when we consider “might give some users pause for thought” is a rather nasty setting as I was there already years ago. So where the others? As such we should grill Satya Nadella on “Last month, Microsoft CEO Satya Nadella boasted that 30 percent of the code in some of the tech giant’s repositories was written by AI. As such, an observer cannot help but suspect some passive aggression is occurring here, where a developer has been told that the agent must be used, and so they are going to jolly well do it. After all, Nadella is not one to shy from layoffs.” As such I wonder when the stake holders for Microsoft will consider that the ‘USE BY’ date of Satya Nadella was only good until December 2024. But that is me merely speculating. So I wonder when the media and actual clever people in media are considering that this is a game thatch only be postponed and not won. So will the others run when the going gets tough, or will they hide behind “but everyone agrees on this” as such the individual bond will triumph and there is a lot of work out there. The need to explain to people (read: customers) is that there is a lot of good to be found in the DML and LLM combination. It remains a niche market and it will fill the markets when people cannot afford AI, because that setting will be expensive (when it is ready). These computers will be the things that IBM can afford, as can the larger players like an airline, Ford, LVMH (Louis Vuitton Moët Hennessy) and a few others. But the first 10 years it will remain out of the hands of some, unless they time share (pay per processor second) with anyone who has the option to afford one. That computer will need to work 80%+ of the time to be affordable. 

As such we will see a total amount of spin in the coming months, because Microsoft backed the wrong end of that equation and now the fires are coming to their feet. Less then. Less than an hour ago we were given ‘Microsoft Unveils AI Features for Windows 11 Tools’. I have no idea how they can fit this in, but I reckon that the media will avoid asking the questions that matter. As such we will have to wait the unfolding of the people behind builder.ai. I wonder if anyone will ask the specification off what happened to said billion dollars? Can we get a clear list please and where did the hardware end? Or was a mere server rack leased from Microsoft? This is just me having fun at present. 

So have a great day and I will sleep like a baby knowing that Microsoft swung and missed the ball by a fair bit. I reckon that this is…. Let’s see there was the Tablet, which they lost against Apple and now Huawei as well. There was the Gaming station, which was totally inferior against Sony. there was Azure (OK, it didn’t fail but a book vendor called Amazon has a much better product, there was the Browser, which is nowhere near as good as Google. And there are a few others, but they slipped my mind. So this is at least number 5, 6 if you count Huawei as a player as well. Not really that good for a company that is valued at 3.34 trillion. So how many failures will we witness until that is gone too? 

Have fun out there today.

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February 21, 2025 · 04:46

To all these sales losers

Yes, it sounds a little vindictive and that is where I am. So to get to this, we need to assess a few things and as always I do assess where I am. To set that stage, we need to see the elements. As I early as February 8th 2021 I have stated “AI does not exist” I did so in ‘Setting sun of reality’ (at https://lawlordtobe.com/2021/02/08/setting-sun-of-reality/)

I have done so several times since and as always I got the ‘feedback’ that I was stupid and that I didn’t understand things. I let it slide over and over again and today the BBC handed me my early Christmas present. They did so in ‘Powerful quantum computers in years not decades, says Microsoft’ (at https://www.bbc.com/news/articles/cj3e3252gj8o) where we find “But experts have told the BBC more data is needed before the significance of the new research – and its effect on quantum computing – can be fully assessed. Jensen Huang – boss of the leading chip firm, Nvidia – said in January he believed “very useful” quantum computing would come in 20 years.” In 20 years? I can happily report I will be dead by then. Yet the underlying setting is also true. If actual AI is depending on a quantum chip and fully explored shallow circuit technology, we can therefor presume that true AI is at least 20 years away. I believe that another setting is needed, but that is not here nor there at this point. 

Don’t get me wrong. What we have now is great, even of a phenomenal nature, but it is not AI. Deeper Machine Learning is becoming more and more groundbreaking. And the setting together with LLM is amazing, it just isn’t AI. Together with the Microsoft setting of ‘in years’ comes nice. In an age that hype settings are required, the need for annual redefinition of something it isn’t will upset massive amount of sales cycles. They will suddenly need to rely on whatever PR is running with marketing setting the tome of what becomes next. A new setting for sales I reckon.

I have some questions on the quote “Microsoft says this timetable can now be sped up because of the “transformative” progress it has made in developing the new chip involving a “topological conductor”, based on a new material it has produced.” My question comes from the presumption that this is untested and unverified. I am not debating that this is possible, but if it was the quote would include (along the lines of) “the data we have now confirms the forward strides we are making” as such the statement is to some degree ‘wishful thinking’ it isn’t set in verifiable rule yet. It seems that Travis Humble agrees with me as we also get “Travis Humble, director of the Quantum Science Center of Oak Ridge National Laboratory in the US, said he agreed Microsoft would now be able to deliver prototypes faster – but warned there remained work to do.” But the underground on this is set to a timeline that gives doubt to the set of Stargate and its $500 billion investment. Consider that the investment is coming over the next 4 years, all whilst ‘interesting’ quantum technology is 20 years away. So what will they do? Invest it again? Seems like a waste of 500 billion. In that case can I have 15 million of that pie? I need my pension investment in Toronto (apartment included). The larger setting of wasteful investment. Does Elon Musk know that there is 500 billion in funds being nearly wasted? 

And the simplest setting (for me) is also overlooked. It is seen in the quote “meaningful, industrial-scale problems in years, not decades”, that implies that there is no real AI at present. And my ego personally sees this as “Game, set and match for Lawrence”, as such all these sales dodo’s with their “You do not know what you are talking about” will suddenly avoid gazes and avoid me whilst they plan their next snappy come back. In the meantime I will leisurely relax whilst I contemplate this victory. It is the second step in my blog, the timeline shows what I wrote and when I wrote it. It could have gone the other way, but my degrees on the technology matter were clearly on my side.

And “Microsoft is approaching the problem differently to most of its rivals.”? Well, that is the benefit of taking another step, optionally innovative step in any technology. Microsoft cannot be wrong all the time and here they seemingly have a winner and that’s fair, they optionally get to win this time. 

In the setting of ego I start the day (at 04:30) decently happy. Time I had a good day too. As such there is nothing to do but to wait another 240 minutes to have breakfast. Better have a walk before then. Have a good or even better, a great day today.

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February 10, 2025 · 12:11

Time is on my side

That is always the question, that is until you set the records up for public viewing, then it tends to go your way nearly automatically. So even as I gave you all the setting that I was right, there was more. You see, more then two years ago I wrote ‘Girdle your loins’ (at https://lawlordtobe.com/2022/11/30/girdle-your-loins/) and that was AFTER I wrote part of the solution to a few people. I wanted to give it to Google three months before this, two days before they cancelled the Google Stadia. OK, they had that right and whilst leaving billions on the floor they walked away. Amazon (Andy Jessy) had the email less than a week after that and he never got back to me, which is also his right to do. Then whomever it got to (at Kingdom Holding) got the message and they never cared, or saw it as important enough. But now after more then 2 years (more like three years ago) when I saw the shift of sands changing a moment arrived (this morning) when I saw that I was right all along. So whilst people like Tim Cook (Apple) and Satya Nadella (CEO Microsoft who was never invited) are complaining about the harsh options are left with. I say, you left billions on the floor, so stop complaining. I gave that very same ‘warning’ to Sergey Brin, but he at least had a decent excuse when they dropped the Google Stadia.

So what is bringing this about?
Well, this morning when I was reengineering (in my mind) certain CBM64 greats, my mind fell over a message that I never saw coming. You see in 1986 I bought a Commodore 64 game named ChipWits (by EPYX), it was a great program with the option to program a robot with instructions and whilst the programing through icons wasn’t terribly new, on a CBM-64 it was at the very least innovative, as such I loved it.

Now back to today I considered that it was a great way to introduce this and add Machine Learning icons (and optionally LLM icons) to this game and give it a fresh start. So as I was thinking about a few things, I looked up the cover (see above) but what I found was also a reference from the original programmer Doug Sharp, and together with Mark Roth he is making a reboot.

Now this part is important as he probably started this around the time I made mention of this option (in my blog) that some true innovative minds got there all on their own. So Tim Cook and Satya Nadella take notice. This is what ACTUAL innovation looks like they got their on their own and they created the next iteration of gaming. They didn’t have to buy it for $100,000,000,000. They got there on their own $0.02. 

So why is this?
Well, in the first it was about me (it often is) and I foresaw this coming three years ago. In three years what ACTUAL innovation have you seen coming from Microsoft? I created a picture that left the ‘buyer’ with a starting revenue of $5,000,000,000 a year. So that is what. I recognised the field, I set the markers and I seemingly came out on top. The second phase would have been at least a fourfold of the first phase of my solution and If you look at all the great old games, you see that a lot is now coming. My favorite was Elite that on the PS4 is almost a thousand times bigger than the vector images of the CBM64 with a fleet massively bigger with billions of star systems (against the 256 planets on the CBM64) that is true innovation and David Braben deserves all the credits he is due, which is a lot as this was the very first serious game I saw on the then great BBC Microcomputer System, and I didn’t have to sob for long as it come to the Commodore within 2 years after. 

So when my mind went spiraling into reengineering mode, I got the idea three years ago for a bigger stage and I reckon that 10% of over 10,000 games that were published on Commodore 64, Commodore Amiga, Atari 600/800 and Atari ST should make farming for games lucrative. I got to 10% of 10,000 games with 50% reduction for IP protected games left me with 500 stellar choices, the best of a great gaming era and those captains of industry (Brin, Jesse, and Cook) never saw it, as such they left optional billions on the floor. I negated telling Nadella as there is no use in breathing life into a near extinct Dodo. They made their grave of mediocrity on their singular motion, or perhaps multiple motions of failure.

As I mentioned there are still a few options for Kingdom Holding but that is up to them and perhaps they are already pursuing this with Tencent Holdings Ltd. The next new player in the gaming sector soon enough. I reckon that is the moment that Microsoft either abandon its gaming platform or sells it to Tencent (as I personally see it). So that $100,000,000,000 anchor around their neck will be a lot less comfortable than a silk (road) tie.

For me? I doubt there is anything in it at all for me, but as I said, the realization that I was correct all along might help me to feel my other idea’s for a few coins to afford a new retirement plan. And the feeling that I was correct all along is just too satisfying (especially when seen against the Captains of Industry who never seemingly saw it). Even if I never end up with anything. This is a clear win to me. Others will state that it is always like that on the hindsight. They would be wrong, as I documented this and other ideas going be to before 2018, there are records. So there 😛

Have a great day and enjoy the stormy weathers I see happening overhead now (actual rain).

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December 10, 2024 · 19:46

The revolving question

That is at times in almost everything the setting. We might all go nuts about ‘mismanaging’ settings and I am to a certain degree not impervious to that setting. But after writing ‘The losing bet’ (at https://lawlordtobe.com/2024/12/08/the-losing-bet/) I started to mull things over. You see, people like Sheikh Tahnoon bin Zayed Al Nahyan are not stupid. But there is a dangerous calm as people are given the questions and are given ‘a kind of answer’ and Microsoft is massively adapt in setting the stage to THEIR advantage and I suddenly realised a simpler setting. When was the question asked of Microsoft ‘What is AI?’ And ‘What is the premise of what you call AI?’ With ‘What is the data setting of AI?’ In this I reckon that some eyes will open. We see all settings of Ai mentioned, but the clear definition and a comparison to the setting that Alan Turing gave us 1950, moreover together with John McCarthy gave us the Turing test. So how far did people dig into this part of the equation? You might disagree with me on my stance of AI and that is okay. We do not all see eye to eye on a whole range of matters. But in this, in a Texas Hold’em style of business poker it becomes increasingly important to set the stage of definitions and hold them up to the light. In that game Microsoft doesn’t get to spin out of the stage ad blame it all on miscommunication. In that stage Microsoft has to hide into the margins or come out into the light. The second stage is likely and very pleasing to my ego.

You see, when people are part of a $1.5 billion investment there are people who are not pleased with that fact and they will nitpick any document handed to them. One of the oldest settings was ‘What are the definitions?’ Was in older days the way to see what players were up to and that stage got a little lost in populism and ‘fast’ presentations appeasing to the spending player. You might think that it is Microsoft paying, but you would be wrong. The UAE and G42 are investing time and resources to make it all work and I foresee that players like Microsoft (not just them) are trying to play fast and loose with definitions so that they can bank the first agreements and then turn back and hide behind ‘miscommunications’ after that fact. Which is why we have the clear setting of definitions. As such making all players answer that question gives a first setting. You see, there is no AI at present and that comes out at that very start. And no matter how clever LLM’s and Deeper Machine Learning is, the setting becomes data and who is responsible of that data. Now we get different players out and in the full-grown light. People like Sheikh Tahnoon bin Zayed Al Nahyan will then immediately see who is endangering the security of the UAE and they have no sense of humour at that point. No matter how some see the ‘opportunity’ of a life time, the moment the national pride comes into view of danger, the UAE will demand clarity on matters and I reckon some will ‘trivialise’ matters and when you ‘invest’ $1.5 billion there is an issue with trivialisation (which is why I referred to a Texas Hold’em style). Now some will say that I am bluffing and I want to be ‘inserted’ as a possible player. You would be wrong. I do not want to be linked to a player like Microsoft in any way. Google, Amazon, Adobe, IBM and Oracle definitely, Microsoft not at all. As such I am not anti-American (a claim that was thrown at me several times in the past). I am anti-stupid (mostly) and when you start trivialising $1.5 billion I see you as stupid, and no matter what I think of Microsoft, they are not overly stupid. In some things yes, in other things (like playing black letter law stages) not that much. 

But all that becomes moot when some players release the definition lists to all we will see how silly my thoughts are, because these definitions go through the entire project and there is no way they get changed unless all parties openly agree. Oh and before you think that this is a ploy. You might be right. You see, I do not know where China is at present ad I would live to find out. So what is better then Microsoft setting the entire definition list to paper and release it all? I reckon we will see a Chinese response less then 48 hours alter. 

The revolving question is an almost needed stage because definitions on paper is what matters, if it isn’t written down it doesn’t exist. That has been a matter long before the Prince by Niccolò Machiavelli. I reckon it goes back to the days of Gaius Julius Caesar Augustus (63BC-14). So this setting was known for 2000 years and with all the turbo presentations and innuendo I get the feeling it got lost in the woodwork of it all. As such I thought it was a great idea to remind people of that. 

Silly me, have a great day.

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December 8, 2024 · 22:46

The losing bet

That happens, we make bets. We all do in one way or another. Some merely hurt our pride and/or our ego. Some deals hurt others and there are other settings, too many to mention. But Reuters alerted me three hours ago on a deal that will have a lot of repercussions. The article ‘US clears export of advanced AI chips to UAE under Microsoft deal, Axios says’ (at https://www.reuters.com/technology/artificial-intelligence/advanced-ai-chips-cleared-export-uae-under-microsoft-deal-axios-reports-2024-12-07/) is one that has a few more repercussions than you imagined it had. The global loser (Microsoft) has set up a setting where we see “The U.S. government has approved the export of advanced artificial intelligence chips to a Microsoft-operated facility in the United Arab Emirates as part of the company’s highly-scrutinised partnership with Emirati AI firm G42, Axios reported on Saturday, citing two people familiar with the deal.” Microsoft is as desperate as I think they are with this deal. They probably pushed the anti-China agenda and made mention of the $1.5 billion dollar investment deal. And as we are given “The deal, however, was scrutinised after U.S. lawmakers raised concerns G42 could transfer powerful U.S. AI technology to China. They asked for a U.S. assessment of G42’s ties to the Chinese Communist Party, military and government before the Microsoft deal advances.” And we are also given “The approved export license requires Microsoft to prevent access to its facility in the UAE by personnel who are from nations under U.S. arms embargoes or who are on the U.S. Bureau of Industry and Security’s Entity List, the Axios report said.” In this I have a few issues.

In the first there is no AI, not yet anyway as such the investment is going the way like water under a bridge. Microsoft knows this as such they are betting big and they have the US government backing them. In the worst case it will be the US government putting up the $1.5 billion themselves and with the anti-China sentiment that is a likely result from this.

In the second the setting that Microsoft is banking on is a loop setting with multiple exists. Yesterday the Financial Times informed us ‘OpenAI seeks to unlock investment by ditching ‘AGI’ clause with Microsoft’ (at https://www.ft.com/content/2c14b89c-f363-4c2a-9dfc-13023b6bce65) the events are piling up and as I see it Microsoft is on the edge if desperation. You see, it all hangs on the simplest setting that there is no AI (not yet at least). What we have is a setting with LLM’s and Deeper Machine Learning and it is clever and it is a ‘optional’ wholesome solution to a lot of paths. But it is no Artificial Intelligence. You see, as all the laws are part of ethics and ‘AI’ people look around and think that there is ‘awareness’ of solutions. There are not. It is all data managed, a somewhat clever solution to people seeking an aware-like solution in data and some kind of knowledge discovery mode. It all could be clever, but it is still no AI and at some point certain people will dig it out and I reckon the UAE will be ahead of it all. Microsoft and its Ferengi approach of ‘When you get their money you never give it back’ comes with nice loopholes. You think that Microsoft made the ‘investment’ now here is the cracker. There is nothing stopping Microsoft of putting it in a ‘bad bank’ approach and make it all tax deductible and then some. And when the “artificial general intelligence” (AGI) clause is dropped there will be all kinds of attention from all over the place and no one is looking at the details of whatever they consider AI and what Alan Turing clearly considered to be AI. When the people that matter start looking and digging the days of Microsoft will be numbered. Another bubble game created and now that they have ‘enticed’ the wrong kind of people they will want their pound of dollars. And as we are given “The Biden administration in October required the makers of the largest AI systems to share details about them with the U.S. government. G42 earlier this year said it was actively working with U.S. partners and the UAE’s government to comply with AI development and deployment standards, amid concerns about its ties to China.” And in that setting Microsoft decided to be the governmental bitch to say the least. And all these media moguls are so loosely playing along and what will happen when someone digs into this. They will play dumb and say “We didn’t comprehend the technology” and it wasn’t hard. I saw it months ago, if not nearly almost two years ago. And the media was stupid? No, the media goes the way of the digital dollar, the way of the emotional flame. So as the field opens, we see all kinds of turmoil with Microsoft claiming to be the ‘saviour’ all nice and kind (of a sort), but when you look at the setting, it is my personal speculated feeling that Microsoft wouldn’t have made this move unless they had very little moves left. And in this setting the one player is forgotten. China, how far along are their ‘designs’? And in all this what are their plans? We seem to be given the setting that it is all American, but as the media cannot be trusted what is the ACTUAL setting? I have no clue, but in a world this interactive, China cannot be far away. 

And if there are people who disagree, that is fair, but the actual setting is largely unknown. So when we get to the last paragraph which gives us “Abu Dhabi sovereign wealth fund Mubadala Investment Company, the UAE’s ruling family and U.S. private equity firm Silver Lake hold stakes in G42. The company’s chairman, Sheikh Tahnoon bin Zayed Al Nahyan, is the UAE’s national security advisor and the brother of the UAE’s president.” Consider this small fact. Microsoft seems to be ‘investing’ all whilst the anti-China rhetoric is given. Do you think that anyone who is the National Security Advisor (of the UAE) hasn’t seen through a lot of this? So what was the plan from Microsoft? I am at a loss, but with the AI setting the way it actually is none of this makes sense. Do they really believe that Microsoft is any kind of solution in this setting? Simply look at the accusation that Microsoft has also been criticised for the perceived declining quality and reliability of its software. That is your partner in so-called AI? Just a thought to consider.

Well, you all have a lovely Sunday. My Monday is a mere 80 minutes away.

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August 21, 2024 · 21:05

The 9mm hard drive

This is a new side to some, the people know one side to any person and at some point that person reveals another side. This is whaat we see (at https://www.ndtv.com/world-news/how-ukraine-war-has-turned-ex-google-ceo-eric-schmidt-into-licensed-arms-dealer-6372469) and the title ‘How Ukraine War Has Turned Ex Google CEO Into “Licensed Arms Dealer”’ now some will all up in arms (to turn a phrase), but the story is a lot more interesting. We are given “Mr Schmidt said that he is now a licensed arms dealer “because of the way the system works”” there is more to this. You see at some point I had the idea to sell the idea of the Chengdu J-20 to Saudi Arabia (for China), it was merely a thought and my ideas are not merely as noble as it might seem. My simple idea was that Saudi Arabia should be able to defend itself from the aggressors (Iran and Houthi forces in Yemen). When America and Europe wanted to halt the defending options for Saudi Arabia. I saw a simple economic option. The defense budget for Saudi Arabia goes into the dozens of billions (all 127 of them)  and me getting a mere 0.1% of that gets me 127 million dollars, simple clean and a nice setting to make really strong friends in the Middle East. This was before the idea I designed, optionally for Kingdom Holding. And lets face it 127 million makes for a nice retirement package. Eric Schmidt has other reasons (he was already rich enough). He and Sebastian Thrun, CEO of Udacity, are making a new venture namely White Stork. The setting we are given is “The idea basically is to do two things- use AI in complicated, powerful ways for these essentially robotic wars and the second one is to lower the cost of robots,” I see an adaptation to the learning (read: Deeper Machine Learning and LLM’s) that Palantir currently has. I think that a union of the two has far reaching possibilities. So what if the Palantir deployed systems are directly updated by drone systems? We are also given “Mr Schmidt reportedly informed that White Stork will mass-produce drones equipped with Artificial Intelligence to identify targets to eliminate the need for ground battles with tanks, artillery and mortar.” I think it goes further (read: presumed) You see, you can set the cost down but the military are more interested in keeping the timeline as short as possible.

Screenshot

You will have seen this, or something like this before. You have three components, the green ones are low in cost, the red ones high in cost. You want them all to be in the red, but the stage is set that you can only have two, the third one should always be in the other field. As people chase to get high quality and fast systems, that solution will always be an expensive item. Armies are not interested in (to some degree) cheap solutions. Not as long as these solutions are fast and high quality. Now White stork is going to seek fast systems and in robotics this will mean integration of information systems, like robotic intelligence systems that can connect to a secure cloud solution, updating the cloud instantaneously by all systems all at the same time. It become (for the lack of a better term) intelligence by wire. Nations will fork over billions to get it and to that degree no one has this. Not the US (DARPA apparently has some developing stage), not Russia and not China. They all have some kind of wannabe status, but they lack a high tech captain of industry like Eric Schmidt. If I can see this correctly within a few years they would all want him White Stork could be worth a whole lot more than anyone ever thought it could be and I think getting this connected to a system like Palantir is close to the only solution out there and the people at the centre of that axial know this. As I see it the biggest bottleneck in the short term will be an evolved non-repudiation system. We can cyber strike as much as we can but that first defence is a non-repudiation system to ward of attacks and that is where Palantir optionally has the system to make it work. Not for one or two systems, but like 200 drones in different campaigns  all at the same time. These systems need more than a simple deeper machine language, it needs LLM learnings and advance machine learning. With cyber systems that cab keep track of it all. This is not a simple solution but a person like Eric Schmidt could keep track of what was needed he might not be alone, but he is the only one in the stage of these arms of technology. 

His wealth might soon equal that of Bill Gates, the arms industry will pay heavily to get this far ahead. Consider that Saudi Arabia increased its military spending by 50 percent to $69 billion in 2023, approximately 23 percent of its total budget. That is to merely get on par with the America, Russia and China. How much do you think these three would pay to get ahead of the other two? The US is requesting $849.8 billion for next year. With White Stork they could easily double that amount. It is that much money that is in the view of some. 

Just my two cents on the matter. Have a great day.

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August 8, 2024 · 12:00

How to measure success?

That is the question is was facing today. It wasn’t about my success (or lack thereof). It was about the olympics. One member (a fellow Australian) was happy because we had two additional gold members over the United Kingdom. But there was something wrong with that train of thought. It was too American. Don’t get me wrong, as I see it it is great to have more golden medals, but in my old fashioned way of life (and thinking) it is weird that the runners up get to live. I must be going soft in my old age.

You see with Australia grasping a 14-12-9 achievement and the United Kingdom holding onto 12-15-19 at present this list could go into any direction. However, this got me thinking. How do you measure success? Don’t get me wrong the gold number are nice, yet it is not a true list of achievement, is it? I have been pondering this and my mind took me to the old 1,2,3 squared allocation. So Bronze counts as 1, Silver as 4 and gold as 9. Now we get to 183 for Australia and 187 for the United Kingdom. UK won by a nose-hair as jockeys tend to say. So is this actually fair? How can medals be universally set? I don’t think that a boxer will accept equal points to an equestrian, in support, the horse will not go along with that either. Still there is a need to give some level of equality especially as the best of the best of the best in any of these disciplines are competing, yet the simple set to look at the golden medals seems wrong (possibly Canadian Summer McIntosh might agree but she just got 3 golden and one silver medal), at 17 she got (as far as I know) a tied second place with a few others all with three golden medals in the French Olympics. 

However I still ponder, is my formula the right one? It seems to be, but it might be my own shortsightedness to think so. 

Still, the question remains, how do you measure success, and not just in sports. In the 90’s I was subject KRA’s (Key Result Areas) and I accepted them as I had no knowledge on how to measure success. Even in customer care and Technical Support these numbers (when applied to the field I was in) made perfect sense. At some point you need to consider what to measure and how to measure it. Medals are a finite point of achievement, customer care is a little bit more fluidic. So how to go about it? The Olympic medallist might have kicked this off, but my brain takes into all directions. So with one movie script under my belt (for assessment with Dubai Media) am I more successful in scripting then all my friends (both of them)? They are not in that field, so how to generalise some metrics? You see we can grab Z-scores but as far as I can see that is a near obsolete approach to matters (perhaps what the people call AI use this) and now we get to the next bit and why I used Summer McIntosh as an example. These were her first Olympics, so how could there be a Z-score of her and how would it be reliable (or relatable)? Previous competitions? These were her first olympics and even in global events the pressures are different. 

And the field becomes even more complex, you see whatever they call these systems based on LLM’s and Deeper Machine Learning, it is either set by a programmer, or set by data and there the problem becomes a lot larger as both are used. Without proper verification and a number of constraints the equation becomes a GIGO rule (Garbage In Garbage Out).

I wonder how much some players consider success. Most will measure success by their ability to bring home the bonus funds. To some extent I accept that, but when you consider how they went about getting that success becomes a larger issue. In this I take the conceptual setting of Awareness versus Engagement in market research. Awareness could be shown how many impressions (or clicks) something gets, whilst engagement requires interaction with the solution. As I have always stated Engagement wins every time, but the large companies often herald views per thousand (or clicks as a secondary). So who get the price turkey at the end? Large Language Models with (Deeper) Machine Learning what some call a version of AI has issues and the world is waking up to Nvidia (not meant in a bad way). You see there is currently no AI, not yet anyway. What there is (the LLM and DML reference) is awesome and it can do great stuff, but it has issues like the legal sector recently saw. There is a lack of verification and that will be an issue in plenty of fields. 

Have a successful day.

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