Tag Archives: Sam Altman

The butler did it

That was the primary thought I has when I faced the BBC Article (at https://www.bbc.com/news/articles/c62j4ldp2jqo) telling me ‘OpenAI faces criminal probe over role of ChatGPT in shooting’ and we are given “Florida’s Attorney General James Uthmeier said on Tuesday his office had been looking into the use of the artificial intelligence (AI) chatbot by a man who allegedly shot several people at the campus in Tallahassee.”, personally I stand with “An OpenAI spokesperson said: “ChatGPT is not responsible for this terrible crime.”” I am hesitant to stand opposite a professional especially with the lack of evidence shown in the BBC article that we see. But the idea that some fake AI picks up a gun like the next Cyberdyne hoodlum (optionally looking strikingly like Arnold Schwarzenegger) and mopping the floor with cadavers as the staccato of automatic fire hits campus os a little much. There is even no evidence in the form of logs reading of Chatbot lingo stating n the form of:

As for how the suspect, 20-year old FSU student Phoenix Ikner, who is now in jail awaiting trial, interacted with ChatGPT, OpenAI’s spokesperson said the chatbot “did not encourage or promote illegal or harmful activity”

So, as such what evidence is there towards prosecuting OpenAI? I don’t mind as it fuels the flames of entertainment and trying to be a useful git I would like to offer Florida’s Attorney General James Uthmeier the thought that he should be aware of (after he had his free pound of flesh from the media). 

Because in the end, without evidence of ‘convolution’ of the mind or thoughts of (evidence supported) ’co-conspiracy’ FSU student Phoenix Ikner is likely to face a long stretch in Hotel Sing Sing with the optional inoculation by Dr. Death. I don’t call the shots, that is up to the judge in this matter. 

But from the lack of evidence that the BBC gives, I reckon that OpenAI is off the hook and that is merely me and in opposition of my usual banter in economy, I do hold law degrees (invalid in the United States). As such I have to wonder if the article had anything to do with that shooting at all? Over 30% is about ChatGPT and it hold a photo of Sam Altman, so it seems that at least two parties are more interested in media exposure, because (as I personally see it) we would, if it was about the crime, get an image of Florida State University, optionally with grieving people. So what gives?

I might have oversimplified the issue, what do you say? Have a great day, oh wait. I need some exposure too, so lets add to this by switching to YouTube. In that matter yesterday, I saw a video by Nancy Wheeler and when it troubled my mind I wanted to rewatch parts of that video, so as I searched for “Nancy Wheeler economy”, which was needed as there is a fictive character of Nancy Wheeler who messes up your internet soufflé. She gives us that there is a crises coming, and she states is underway already. As such I wondered and for the life of me, I could not find the Nancy Wheeler in real life outside of YouTube. That doesn’t mean she does not exist, but with the facts given I was weirdly surprised that the media had not picked that up. She gives us that there are three weaknesses creeping up on all of us:

Now it sounds massive and cool (which makes the media not picking this up weird), and she talks a nice deal. I a lacking economy knowledge, so I was almost mesmerized, A really pretty youthful young sprout asking for my attention has that effect on me. But there was something in what she said. She stated: “The buyers [of the debt] have changed, the maturities have shortened and the exit doors have gotten smaller”

This caught me, because that sounds about right, so I wonder why the media didn’t pick this up. It is not to prove that she was right, but considering the reasoning that the media wants its pound of flesh, they didn’t go for debunking this either. So what is the silence? Don’t get me wrong, for all we know Nancy Wheeler could be a massively pretty doom speaker and this tends to be an automatic media magnet (she is more appealing in looks than Jerome Powell ever will be) and as I am blissfully ignorant on economy there is no way I can tell the difference of one against the other (facts).

So is it correct? Is she wrong and she made a point that the debt surpassed the 97.1 trillion. Is it a gimmick for the call to ‘accurate’ reporting? As such the video (at https://www.youtube.com/watch?v=_TqjlaiU_N8) gives us the goods and I let you decide how right or wrong she is. 

Well that is all there is on this Friday (for me) when you all rejoin me on this Friday I will have more to say (in approximately 20 hours). Have a great day the next 20 hours.

Leave a comment

Filed under Finance, Law, Media

What is real?

That is at times the question, the setting that someone is trying to give us fake. Now I am a most outspoken person in regards to AI, it doesn’t exist (yet) and whilst the media is all about AI (for their digital dollars), the real setting is when it will arrive. No matter how clever programmers become, it is still a programmers Wild Wild West. So when I took notice of the BBC (at https://www.bbc.com/audio/play/w3ct8mf3) I had different questions. We are given “Anthropic – one of Silicon Valley’s leading AI firms – recently announced that they have built a model which is too dangerous to be released to the public. Instead, they are only giving access to the model to a handful of big companies, to help them find security vulnerabilities.The company says the model has already found weak spots in “every major operating system and web browser”. Is this a genuine example of a company acting responsibly, or more of a carefully calibrated publicity move?” OK, the premise seems clear, whatever they call AI, let’s call it Fake AI might have become a tad more potent and giving it to a chosen few might be the way to go. I personally would advice Dario Amodei to talk to IBM, this is not some prearranged setting. As far as I know IBM is the most advanced player for Shallow Circuits and that is one of the thresholds to get to Real AI, until that moment comes all AI is fake. Optionally he should talk to Google too, as I have no idea how far their shallow circuits are. But it is one of the three remaining thresholds before we can get to a Real AI setting. The other one’s are the Trinary Operating System and the other is decent weeding (like removing arranged data from verifiable data) We already have quantum technology, so that is on par. The weeding part comes I reckon when shallow circuits are done, m because when we combine this with the TOS (my personal gag here and I am giggling) we have the makings of perfect data dirt weeding. But the setting also evokes other thoughts. If Anthropic is this far ahead, what the hell is Sam Altman doing with all the billions is is seemingly squandering. You see ‘OpenAI to spend over $20 bln on Cerebras chips’. I am not debating the setting, it might be the strongest there is (for now), but if this market is thrown upside down in less than a decade, it implies that Sam Altman just wasted billions on chips that are basically obsolete by the end of the year. And in that same setting the quote “OpenAI is valued at approximately $852 billion”, what will be left of that when 2027 comes calling? I have supporting ideas. If Anthropic is ahead of OpenAI, as I reckon is Google, who will pay $852 billion for a third place setting? And in addition we know that DeepSeek is out there, but no one knows how far ahead of lagging it is. What was old it can do so at a much lower cost and when did business walk away from cost reductions?

All thoughts that come to mind and the media is weirdly unaware of them, so who are they working for? Not the audience that is seemingly clear. But if you want to dismiss my calling, that is fair. So few free to investigate your own data and don’t use one source, use at least half a dozen sources and when you do you will figure out that the equations and the money drop is not evening out. It is all reminiscent of the 90’s where people will pay mountains for mere concepts. I thought we had done away with those settings? 

Still, the current call is with Anthropic and Dario Amodei. I wonder how quickly we will see an update on how that is going. I am sure it might take several weeks, but in the meantime we can consider did OpenAI overtake Google Gemini yet? If so by how much and if not, what are these headlines of chips for billions, when Lays has them for $3.99 (ketchup taste optional).

And yes 20,000,000,000 is a real number, but so is the return on investment and where is that number with OpenAI? What is his return on investment? As such have a lovely day and if you are not investing in FakeAI try enjoying your coins in acquiring some coffee or tea, they both tend to wake up the senses.

Leave a comment

Filed under Finance, IT, Media, Science

With the coming of Linux

That is not entirely the truth, Linux has been here for some time but now France is going the way of Germany and Denmark, pushing Microsoft out of the door. I reckon that Microsoft played their cards too early and against the wishes of their audience. We cannot blame the Trump administration for everything, so as France goes. I reckon that Monaco will also dial down the Microsoft beast and not to forget Lichtenstein. It has deep roots with both France and Germany, as such there is every chance that they, labeled one of the world’s wealthiest countries, boasting a GDP per capita exceeding $200,000. Which is uncannily high. It has a specialized financial services industry and also has deep roots with Switzerland. So, there is a chance that this might also end the power of Microsoft in the land of cheeses (banks also). I don’t think that Microsoft will yield the field, Excel for its origins in Lotus 1-2-3 has become the power system to call home for many in the financial industry snd there is no way that others can dethrone Excel, but that is pretty much the only application that is sitting safely and pretty. 

TechCrunch gave us (at https://techcrunch.com/2026/04/10/france-to-ditch-windows-for-linux-to-reduce-reliance-on-us-tech/) the setting “The country said it plans to move some of its government computers currently running Windows to the open source operating system Linux to further reduce its reliance on U.S. technology.” It is high time that this happened, but it still might be done in time before all these data centers would be holding onto EU data, they’ll still hold a lot, but not everything and that is when the dollar value of Microsoft goes into decline. Brian Sozzi (Executive editor Yahoo Finance) gave us “Goldman Sachs analyst Gabriela Borges pinned the company’s 23% plunge this year to two factors in a new note on Monday. First, upward revisions to capital expenditures without commensurate upward revisions to Azure cloud sales. This resurfaced concerns about returns on investment and Azure’s competitive positioning against peers such as Amazon’s (AMZN) AWS.” I reckon that the hundreds of millions of users that Microsoft will lose in 2025 will add to that pain, but to what extent, I personally have no idea.

With the American Administration the way it is, that pain is only getting worse, because the bulk of the world does not like that this American administration can get access to any data server that is founded on American soil, even if these data centers are in Denmark (or France, or the EU), these people want out as fast as they can. And that is happening right now. I don’t think that all EU nations will leave, still the idea that Satya Nadella lost roughly 450,402,641 users will have to hurt his ego a tiny bit. And I reckon that the stock price of 370.87 will equally take a hit, as such the valuation of 2.75 trillion (aka 2,751 billion, or 2,751,000 million) will decrease. I have no idea how much it will decrease, but as I see it, the gaming section was hit harder then they expected and now we see other venues take the proverbial dive. That is before people realize that the 27% stake in OpenAI is also seeing some ‘hindrance’ and as they quite recently invested $13 billion in that field. All whilst OpenAI also had a deal with AWS for $50 billion, rumors are there that the Microsoft legal divisions are ready to get their shares back, but I have no idea how deep this is and how far along this is. But when we see this on top of the setting with Fractal Vision (aka DeepSeek with AI for a fraction of the cost OpenAI is heralding), it seems that when the dust settles, the chance of Microsoft seeing 2 trillion vanish like snow in a volcano is not entirely unrealistic. 

How deep this losses go is unknown to me, but you could optionally ask Jamie Dimon (phone: +1 212-270-6265) at JPMorgan Chase & Co. He would know better than me. Still, France is a new cog in this delayed revenue fading machine. And it has the option of dragging several nations with them and from there the losses merely increase. The old expression goes ‘It never rains when it pours’ and I reckon that Satya Nadella has never seen a version of Compound Troubles seen explode on his table and here I was thinking that Microsoft CT was about community training. Ah well, you learn something new every day.

Well, I have to stop now, because I am giggling slightly too intense to enjoy coffee at present. So you all have a great day and consider downloading LibreOffice, it is 245 MB, free and installs easily. Time for me to consider another setting in gaming later today.

Leave a comment

Filed under Finance, IT, Media, Science

The Bull what?

I was confronted with an Oracle article this morning, it came with the complements of the Insider Monkey (at https://www.insidermonkey.com/blog/oracles-orcl-backlog-drives-its-bull-thesis-according-to-analysts-1726682/). The article ‘Oracle’s (ORCL) Backlog Drives Its Bull Thesis According To Analysts’ which might be a conundrum, so lets take a look. We are given “The major factors in the firm’s bullish thesis on ORCL are its massive backlog and its ability to cater to increasing AI investments in the US. Oracle has a remaining performance obligation (RPO) of $553 billion, which offers good visibility into the company’s future earnings.” I would go with that a backlog gives stock and future of a company value, but that might be an oversimplification. And $553,000,000,000 is nothing to sneer at. It is seemingly more than the overall business that several nations have and in this case it is more then Norway gets on an annual level. So I would go with that, but what is a bullish thesis? 

Well, in short “A bull thesis is a structured argument supporting the belief that a specific stock, sector, or the overall market will rise in value, driven by positive catalysts like strong earnings, innovation, or economic expansion. It focuses on growth potential, such as AI-driven productivity, high revenue backlogs, or increased market share.” (Source: Simply Wall Street).

So I had it correct the first time over (a few days ago). There was nothing new under the hot sun, but the next bit ‘surprised’ me a bit. It was “The analyst also pointed out that a major risk in the bull thesis is the customer concentration. A large part of this backlog comes from OpenAI. OpenAI intends to invest a total of $600 billion in computing power by 2030. Previously, in October, OpenAI CEO Sam Altman said the company could spend up to $1.4 trillion on infrastructure by 2033. One month ago, BNP Paribas analyst Stefan Slowinski commented on how this particular risk is now reducing for Oracle Corporation (NYSE:ORCL):” So in short, most of the backlog comes from OpenAI, if OpenAI fails (not a weird thought) Oracle stumbles as would be the case, so the backlog is due to mostly one customer and that is a rusk. How big a risk remains to be seen. The people wanting OpenAI to succeed are numerous and ‘THEY’ would be reducing the risk like the metal dealer reducing the risk of riveting and downplaying potential dangers. This went well before the Titanic saw the shores of the ocean (bottom of the sea), but what happens afterwards? Now, riveting is largely supported, there are whole fleets still out there based on riveting. But what happens when the next big thing comes (like welding), so that is where we are right now. But on the horizon we see Google DeepMind, Anthropic, Meta, DeepSeek and something called Cohere. I believe Oracle is in a good space as whatever comes next will require a system that deal with data and I believe that the only competitor here is Snowflake. As such yes, there is a risk to (what some call) the Bull thesis, but the risk is seemingly small as nothing can match Oracle and Snowflake can only partially cover Oracle (as I see it) and I have some reservations on BNP Paribas analyst Stefan Slowinski as BNP Paribas and OpenAI have a multifaceted relationship involving financial analysis, infrastructure, and competition within the AI landscape and this article dos not bare this out. But in that setting we also fail to see the setting that ‘SoftBank Secures $40 Billion Loan to Fund $30 Billion OpenAI Investment’ (source: TradingView) this matters as there is a backlog and they still need loans/investment funds? And the second setting is given to us (at https://www.nssmag.com/en/lifestyle/44761/sora-openai-shutdown) where we see ‘Understanding OpenAI’s U-turn on Sora’ where we see “The development team of Sora, the artificial intelligence software by OpenAI that allowed users to generate realistic videos from a simple prompt, recently announced the shutdown of the app. It is a sudden and highly significant change, one that is expected to produce notable effects in the technology and entertainment sectors, with repercussions that could extend well beyond the U.S. market. The shutdown of Sora is not relevant only for the company led by Sam Altman, but also for other players active in the field of generative AI applied to video production. Google, for instance, now finds itself in an advantageous position in this area, with the concrete possibility of consolidating its leadership in the generation of realistic AI-based videos – thanks to its tool Veo.” So some will see this as a boost to Google (DeepMind) but this happens before these tracks became financially viable (read: paying off) and these elements will create some sort of minor shockwave. The problem is that 3-4 shockwaves can create a massive customer turnover (like towards a competitor) and even if it doesn’t ‘damage’ Oracle, it might hurt prospects in that near future. Consider that this backlog of $553 billion reduces it to a mere $125,000,000,000 Still a large number, but that is when it starts raining men on Wall Street (aka: watch out below).  All elements overlooked in Insider Monkey and the non-Chinese media is not too bitty in the DeepSeek settings. So we are mostly unaware how their next version of its engine is. All elements that will influence the view on Oracle. I still have faith that Oracle will pull through successfully, but these pesky investors are at present more jittery than a room full of roaches as you turn on the lights. It might not be the best setting for a long term ‘understanding’ and that is something Oracle has to deal with. 

Have a great day, I am now 120 minutes from breakfast, although if I was in Vancouver I could enjoy another lunch in the Nightingale like a Cache Creek Beef Tartare, yummy.

Leave a comment

Filed under Finance, IT, Science

Questions

That is what I was thrown, questions and quite a few. To get there I need to take you on a little journey it was around 1988 I got my fingers on some defence data (can’t tell you which one) the data shows results of some kind (I had no idea at that time what results they were) but the part that was, was the fact that they had log files and these files gave locations. It comes with the setting of log files. These files gives the hacker way too much information, what solutions are being used, what IT architecture was in play, in those days I was a simpleton. I never realised the power that this kind of information had, or as some hackers said in this setting “Copy me, I want to travel” This part matters, because around 2014 (after the traitor Manning gave the files to Wikileaks) I got my hands on some of them. The compression used was one I had never used before and it took a few days to get the program. What I saw was that log files were here too. It wasn’t that obvious, but I noticed them and these log files gave part of that current architecture to whatever hacker got (or was given) access to it. So a setting that was about 37 years old. This setting has been in place for that long a time, so as you see this, we can start with the articles, so keep what I just gave you in mind.

The article was given to us by NDTV (at https://www.ndtv.com/world-news/openai-accuses-deepseek-of-distillation-what-it-is-how-it-works-us-china-tensions-11002628) I got the news from Reuters, but they are behind a paywall, so NDTV gets the honour. We see ‘OpenAI Accuses DeepSeek Of Distillation: What It Is, How It Works’ and hit comes with “In the AI world, distillation is a common technique where a smaller or newer AI model learns by studying the responses of a larger, more advanced model” And we also see “The company told the House Select Committee on China that DeepSeek allegedly relied on a technique known as “distillation” to extract responses from advanced US AI systems and use them to train its own chatbot, R1,” according to a memo obtained by Reuters. The American AI giant stated that the Chinese firm was finding clever ways to bypass safety systems and trying to take advantage of the technology that US companies spent billions of dollars developing.” Now consider that (according to some) “OpenAI is valued at approximately $500 billion, cementing its position as the world’s most valuable venture-backed company” when you get that and when you realise that log files could be used to ‘distill’ information. Now imagine that this information could lead to corporate knowledge? So when you realise that this setting was out there for almost 40 years, do you think that more concise solutions would have been needed? So when we see that Sam Altman is prone to ‘excuses’ like the setting with Nvidia, the stage with Microsoft and now this? What is Sam Altman not telling its audience? Isn’t anyone taking that leap? So whilst I remember that at least one of the Pentagon routers still have the admin password to “Cisco123” you might consider the setting that this article (as well as the Reuters) version is a preamble to bad news and when you consider that Americans have an overactive dislike of anything Chinese (like DeepSeek)  and when we get to “In the AI world, distillation is a common technique where a smaller or newer AI model learns by studying the responses of a larger, more advanced model. Instead of training that model completely from scratch, the newer model observes and mimics the advanced model’s answers and behaviors.” The setting I gave you makes the setting of better protection even more sense. Especially as this impacts a expected $500,000,000,000 valuation. There are days that I don’t have that amount in my wallet (100% of the time) so I am left with questions. So in the first, why was there no better protection and in the second, how did DeepSeek get access to them. I would normally tend towards the inside job notion. And that setting is seen (personally and speculatively)  on a few levels and in a few ways, but happy go lucky, the media isn’t on that level yet (or ever). So does anyone else have the idea that something doesn’t seem to add up or match to the stage of a 500 billion dollar solution? Just a few questions come to mind at this point. 

Have a great day today, there about to have breakfast in Toronto and I kinda miss than frisky cold atmosphere whist drinking an elephant coffee (Jumbo cappuccino with full cream milk and three raw sugars) whilst nibbling on some sandwich (nearly anything goes there). So enjoy your day today.

Leave a comment

Filed under Finance, IT, Politics, Science

One topples the other

That is at times the setting. It is basically defined under ‘the cost of doing business’ and at times companies big and small go under from that overset risk. It is of course due to the pussies overhang nations that they made all this ‘tax deductible’ and as such governments and its citizens  pay the price in the end. So as we see seeking Alpha giving us ‘Microsoft: An OpenAI Problem’ (at https://seekingalpha.com/article/4867091-microsoft-an-openai-problem-rating-upgrade) a few settings with in the first place “First, given that 45% of RPO comes from OpenAI, MSFT stock is now a beta around the pessimism that surrounds this startup, especially in the last week”, as well as “the market is throwing the baby out with the bathwater. Microsoft is part of the software infrastructure industry, which is dragging down tech” which all seems to make sense, but in that same setting what does set the matter separate is “I don’t think Microsoft will write down its RPO due to OpenAI not being able to pay in the future, but I’m mindful shares could remain under pressure in the near term” and here I am considering the larger stage of “due to OpenAI not being able to pay in the future”. A setting that too many are overlooking. The ‘AI’ baby of all greed driven entities are not looking at what is holding up this figment value. It lost against Google’s Gemini and I understand and I also herald the setting that a lost battle is not a lost war, but too many are ignoring this fact because they are seemingly going all in and bad news is seemingly being filtered away. And in the second we see Seeking Alpha giving us “I think Microsoft has two main problems right now. One of them is called OpenAI (OPENAI). The sentiment around Sam Altman’s firm is anything but positive, and in this piece, I will discuss the key issue that is pressuring the most important startup in the world. The other factor is the selloff in software. Microsoft is part of the software infrastructure industry, and the risk-off move among investors is way too strong.” And why do I think that?

Because these vultures are feeding Oracle to the wolf wannabe’s and to the turmoil of the greedy driven capitalist waves of whatever floats their boat, whilst Oracle is the one stage that is the most  stable at present. Now that the game is close to up for some, now we see that Microsoft is having a problem all whilst no one is clearly digging into the settings of OpenAI as well as the settings that processors and even energy cycles should be having. These facts are casually thrown aside and there is something massively wrong with the stage we see here.

And as we are given (by Seeking Alpha) that “Aside from one point. RPO was up 110%, totaling over half a trillion dollars ($625B to be precise). While any company would have jumped double digits following this announcement, the fact that 45% of that RPO is attributed to OpenAI makes the quality of the backlog questionable (in my modest view)” because what ROI is OpenAI actually giving its shareholders? Where is the profit? It is not there and it will not be there for at least 5 years (a number voiced by some). As such the equation doesn’t seem to hold, but the investors went all in on this and they are playing some kind of poker (where you increase the investment doubling again and again until the pay off comes, I am not into poker) and that is the problem. So what is RPO here? Remaining Performance Obligation or Recovery Point Objective and in the second question setting, we wonder where that the Remaining Performance at the Recovery Point exactly is? You see, at no point in this article we see ROI (Return on Investment) and why not? Is the story that this is 5 years pending too hard to sell?

So, as I see it, it is 2008 al over again but the impact will be much harder, the economy does not have the resilience to go through that again and the US Administration is throwing a dozen sabot’s in that engine, as such the impact will be a lot harder and I spoke of that almost 6 months ago (not sure where) and as we look into this we see no answers and isn’t that weird? The players who are all about ROI and revenue forgoing that setting? So where are Sam Altman, OpenAI and Return on Investment? Even Bloomberg is telling its readers that ‘Microsoft’s Deal With OpenAI Now Viewed as a Risk, Not Reward’, so where are all these Bloomberg wannabe’s? It seems that the stakeholders are filtering out what some need to know right of the bat and that seems not to be coming (at present). In addition to all this Seeking Alpha gives us “The pressure on margins due to the buildout should have been priced in since October 2023! I think it is pretty much mainstream (ask your cab driver next time, for real) that the hike in depreciation is a natural effect of the AI buildout. However, and this is the main risk to being bullish right now, I don’t think the market is willing to recognize this fact. I think the market wants to see a return on the AI data center buildout, and any deterioration in earnings (both revenue growth and margins) is used as an excuse to head for the exit. This remains the largest risk, as Q3 will see a deterioration in Q3 gross margins (per management guidance).” Personally I see that Microsoft should survive this, but to what extent? I want to be clear here, because I have given an anti-Microsoft view before (they deserved this), but here I am out of my depth because I do not have an economic degree. But the people at Seeking Alpha did (a speculative expectation) and the stage of “pressure on margins due to the buildout should have been priced in since October 2023” is something that we haven’t seen, did we? At least I never did (mainly because I do not care) but the people who did, did they see that?

The entire setting smells like yesterday’s diaper (see: Baby Herman) and no one seems to be catching on that something doesn’t feel right. So will the investors claim foul play when they lose their investment? Will the stakeholders be held against the light? All valid questions and I am certain that no answer will follow by anyone who has the valid jurisprudence title and now that the Federal Reserve is no longer hands of Jerome Powell, it will be anyones guess what comes from that corner.

Have a great day today.

Leave a comment

Filed under Finance, IT, Media, Science

Cracks in the armour

That is at times the stage we see. It is not a stage where the we are concerned of the armour that is in play. It is like any soldier wanting the direct replacement of body armour when it stops a bullet. There is no logic in this. It is like the expectation that a bullet strikes perfectly the first impact. You might be more lucky to get a winning lottery ticket. So when I saw the Financial Times headline (the article is behind a paywall) we would have seen

The headline is ‘alarming’ as the banks seek out new buyers for data centre loans. But as I see it, Oracle has been in the thick of things for over 40 years and the current boss of Oracle is currently worth 250,000 million dollars. He basically is worth more than most board of directors of any bank in the United States. So the setting doesn’t make sense to me. This seemingly happens should Larry Ellison (father of David Ellison, big boss, actor, producer, chairman and CEO of Paramount Skydance) takes an equal disastrous dive. You think that this is ‘boasting’ but the setting that we see here gives us that banks are in a downward spin and the Ellison family is well insulated of the impeding downward spiral. So here we go to the next article and we get ‘Oracle issues public clarification amid reports linking AI push to job cuts’ (at https://sea.peoplemattersglobal.com/news/strategic-hr/oracle-issues-public-clarification-amid-reports-linking-ai-push-to-job-cuts-48277) where we see “In a statement posted on its official X account, Oracle said a widely discussed Nvidia–OpenAI investment proposal had “zero impact” on its financial relationship with OpenAI and insisted it remained “highly confident” in OpenAI’s ability to raise capital and meet its commitments. The clarification followed mounting speculation that Oracle could slash as many as 30,000 jobs to help fund its AI expansion.” I am not taking sides here, but as I see it, at least 5,000 employees could find a job by opening two cloud centres. One in Saudi Arabia and one in the UAE. Techies, Trainers, consultants and that could be an influence of revenue out of those two countries. So when we see “The statement came after a turbulent weekend for companies tied to OpenAI. The Wall Street Journal reported that a proposed $100 billion Nvidia investment in OpenAI had stalled and was never finalised. Nvidia chief executive Jensen Huang later confirmed that the arrangement discussed last year was non-binding and did not proceed. Despite Oracle’s attempt to reassure investors, markets reacted negatively. The company’s shares fell 2.79% to $160.06 shortly after the statement was published, highlighting ongoing concern about the scale of Oracle’s financial exposure to the AI build-out.” I have a speculative arbitrary subjective view of Sam Altman (OpenAI) that he is nothing more than a lousy second hand car dealer with too big an ego. And the setting where they are ‘closing down’ the 100 billion dollar deal sounds alarming and it seems like Oracle is left with the mess of something that is in a downward spin and continues falling downward until it splatters with a sickening thump. And when we get to “Oracle’s debt burden has expanded rapidly. The company has added about $58 billion in debt in recent months, largely to finance new data centre campuses in the US, pushing total debt above $100 billion, according to analysts. Since peaking in September 2025, Oracle’s market capitalisation has fallen sharply, erasing hundreds of billions of dollars in value.” All whilst OpenAI couldn’t exist without the Oracle framework and whilst we are given all kinds of complications but there are two settings no one seems to care about. There are plenty of reasons to have a data centre, but AI doesn’t exist yet and Deeper Machine Learning (DML) and Large Language Models (LLM) do exist and they are close to magnificent, the issue is that everyone is going with the AI setting and this AI just cannot do what AI needs to be able to do and whilst we see some excellent ideas, as I see it it doesn’t give the structural settings of an additional 770 data centres are in the making and the resources that are required are rising to the spotlight and people are unhappy with it all. All this is making OpenAI (Sam Altman) rather uneasy and whilst some are shutting down $100 billion deals whilst shouting that the processors aren’t good enough and whilst Google Gemini is outperforming whatever OpenAI has and now the banks are getting jittery and the pressure gets onto the house of Oracle. I can call it that because the Pythia of Delphi gave me permission herself. So now that the bottom of the well is showing the banks go medieval on whatever they can and they try to go out from under their arrangement. Sounds like the setting banks had in 2008, doesn’t it?

But to feed an excellent software firm to the wolves to keep safe is not the good setting. As I see it Oracle will come up from all this, whilst they will stop working with certain banks as I see it. And those banks will cry like little bitches stating that it was just business (a speculative view I am holding). And all whilst I wasn’t stating anything new. This was out in the open for over 2 years. As such the banks and the media have a few thing to explain to the people and they aren’t in the mod for what some will call BS.

Have a great day today, don’t forget to have some Ice Coffee if you are in a 30 degrees plus environment (like me) and feel free to ask the media all kinds of nasty questions. 

Leave a comment

Filed under Finance, IT, Media, Science

Excuse towards failure

It is an old expression and I didn’t expect to hear this again, but there you have it. To give reference. In the 90’s sales teams were all about the ‘pipeline’ and making ‘quota’ but at times the bosses of these sales teams didn’t have the right glasses on and they would overcompensate in many ways making life close to impossible for the sales teams. Now we get CEO’s and other ‘things’ needing to do the same thing towards shareholders and that is where the story starts. Reuters gives us ‘OpenAI is unsatisfied with some Nvidia chips and looking for alternatives, sources say’ and we see (at https://www.reuters.com/business/openai-is-unsatisfied-with-some-nvidia-chips-looking-alternatives-sources-say-2026-02-02/) that the setting is pretty much what I expect. As we are given “OpenAI is unsatisfied with some of Nvidia’s latest artificial intelligence chips, and it has sought alternatives since last year, eight sources familiar with the matter said, potentially complicating the relationship between the two highest-profile players in the AI boom.” As I see it, Sam Altman and his OpenAI aren’t making things happen and to thwart things as much the blame game comes into play. He has no other option, he is the top of the mountain and that means that he is subject to shareholders and the story “the chips aren’t cutting it” is as good as it gets for him. I reckon that the “sought alternatives since last year” excuse is about gaining time. But take a look at what Nvidia achieved. 

So, where are the shortcomings? Are the expectations of Same Altman realistic? And who are the 8 sources that Reuters is referring to? So when September came, some were given “Nvidia said it intended to pour as much as $100 billion into OpenAI as part of a deal that gave the chipmaker a stake in the startup and gave OpenAI the cash it needed to buy the advanced chips.

The deal had been expected to close within weeks, Reuters reported. Instead, negotiations have dragged on for months. During that time, OpenAI has struck deals with AMD and others for GPUs built to rival Nvidia’s. But its shifting product road map also has changed the kind of computational resources it requires and bogged down talks with Nvidia, a person familiar with the matter said.” This now gives pause to consider if it is merely the hardware, or the slice that OpenAI gets from it all and why go for the inferior AMD chip? Because if OpenAI claims that it is superior or even equal to Nvidia, the press better get that lowdown, because as far as I can tell there is no western equals to Nvidia (optionally the Huawei chip, but that is an assumption by me, myself and I). 

So when we get “On Saturday, Nvidia CEO Jensen Huang brushed off a report of tension with OpenAI, saying the idea was “nonsense” and that Nvidia planned a huge investment in OpenAI.

“Customers continue to choose NVIDIA for inference because we deliver the best performance and total cost of ownership at scale,” Nvidia said in a statement. A spokesperson for OpenAI in a separate statement said the company relies on Nvidia to power the vast majority of its inference fleet and that Nvidia delivers the best performance per dollar for inference” the simple setting is even that OpenAI Marketing is not one of those 8 sources. As such, if we cannot get clear information, could someone please alert these shareholders that OpenAI is making an optional training run with their money? 

As I personally see it, Sam Altman is coming up short for meeting expectations, especially as he is  trying to catch up with Google’s Gemini. I reckon that this will give him nightmares too. But overall the setting is one I expected to come, because in the end AI doesn’t yet exist and now that 100% of that hardware vendors are intentionally wrongfully label their chips AI (they’ll call it ‘Alternative  Intelligence’ at some point) and that is when the class cases will plaster every courthouse from Alberta to Zurich and I reckon it will not take that much longer, especially when the excuse that the chips aren’t good enough are coming out. I might have believed them if it was the Adler chip (a 80186 joke), but it is Nvidia, the hardware darling of the IT world.

As such my skepticism overtakes my feeling of fairness and openminded justice (that being said, justice is almost never openminded) but do not take my word on this, ask the OpenAI program with all that AI in play. 

So time for some ZZZZZZ’s, you all have a great day. I am ready to snore mine away.

Leave a comment

Filed under Finance, IT, Media, Science

The wannabe influencer?

That is my question at present. In comes a person with the ludicrous title of “Al & loT Expert”. You see, what makes it hilarious was the post I saw ‘fly’ by. He starts off with “OpenAl’s first hardware is… a pen?? (If they don’t call it O-Pen Al they have officially lost the Al race).” So that is what makes him an expert? I am no expert on any of that but I am highly knowledgable on matters including IoT. In some cases and in some places I am known as a guru. I have my niche settings. But what gets to me is that (although I am no OpenAI fan) OpenAI has ‘Yes’ lost the current battle against Google and its Gemini 3, which the media kept from you for weeks. Although I personally never used it, but people who did and are ‘regarded’ as captains of industry think so. So, as I see it, OpenAI lost a battle, but that doesn’t mean the war is over. You see, the war on AI (when it finally comes here) is in no means settled at present. And those who understand that battle know this and mostly unmentioned is the play that is left with IBM because they currently have the inside track, not Oracle, not Snowflake and definitely not Google, Microsoft or Amazon. You see, AI is more then what is out there today. It will rely on larger technological settings. They all have quantum systems, but who is the most advanced in Shallow Circuits? IBM was setting that stage in advanced settings in 2017 all whilst OpenAI hardly barely at that point. IBM was on the ball and the actual winner of what now is referred to as True AI, which is ACTUAL AI will need two additional settings the first is Shallow Circuits, a setting where only IBM is a straight forward contender. With that I say I have no idea where Google stands. And in that the next thing is that a trinary operating system will be required and as far as I know there is no current winner at present. I reckon that both Google and IBM have dabbled in this, but I do not know where they stand and when this comes to pass the winner will work with Oracle to make the connections in a much needed combined effort, because they all agree that Oracle is the one player that can make it work. Snowflake as well, but I have no idea where they stand in all this. What we currently have are DML/LLM solutions that are at times clever and functioning, but in too limited a setting. I call this Near Intelligent Parsing (or NIP), but it is not AI, even thought they all have the marketing calling it so. 

What we have now is a mere shadow of what Alan Turing envisioned half a century ago and leave it to sales teams to wriggle the straw until it bleed revenue, but as the class cases will explode in this year, they are left to ‘apologetically assume the position of miscommunication’, at least that is how I see it. So was this person a wannabe influencer and taking the LinkedIn cloud by humor? 

So this might optionally have been the pen that OpenAI is flaunting, but as I see it, this is their step into audio, which they advertised and having a pen recorder is a pretty contraption (aka gizmo, doohickey, or thingamajig) that propels the setting of OpenAI forward. And I reckon that within a month all wannabe AI experts want one. Audio is the next stage that require harnessing, so OpenAI is not out of the race, they merely got bruised in a race where they had the upper hand for three years. 

Perhaps they get the upper hand in other direction making them overall winner, but that is a mere consideration of option, especially when we realise the inside track that IBM has and where is that in his assessment? So I am not proclaiming the identity of that person, it lacks class and makes him a target. He made himself a target and I do not need to add to his current confusion. 

What is a stage is that there is a chance that OpenAI is moving to capture the stage of Audio enhanced NIP (Near Intelligent Parsing) making them first again and Google will need to play catchup, optionally Oracle (Snowflake too) will now have to adjust their tracks to get audio embedded in their database settings and whilst we do not know where IBM goes, we do know they have the inside track, they might rely on Oracle/Snowflake solving that problem for them and as I am a Snowflake person, I still believe that Oracle is likely to win this war for the mere knowledge that they have been on these tracks long before Snowflake got involved, so they have years and traction in their stride. This is not a certainty, but a presumed advantage. 

That is as good as I can give it to you and I have written other stories on the need for a Trinary operating system. I last did that in ‘Is it a public service’ which I wrote last November (at https://lawlordtobe.com/2024/11/16/is-it-a-public-service/) so this isn’t coming out of the left field, it was there for almost two months. Oh and to be certain that you do not mistake me for that wannabe influencer. I am in no way an ‘expert’ on AI, I merely have been dabbling in IT and data since 1981. So I have the mileage here, have a great day today.

Leave a comment

Filed under IT, Media, Science

They had twins

Yup, it happens. At times we have kids, progeny so to speak and some get two for a simple roll in the hay. Yet this isn’t about kids. It is about Gemini 3, Googles seemingly finest product. It is so great that Microsoft barred Google Chrome from installing and they blamed it on some weird parenting setting. And then the media lacked looking at it, probably some revenue driven courtesan issue. All speculation, but I would prefer to set this to presumption, still I have no evidence. So it is all allegedly, but the settings on Gemini are clear. I read it myself (so it must be true). I will start with FXLeaders who (at https://www.fxleaders.com/news/2025/12/23/google-stock-heads-to-record-highs-as-gemini-3-outperforms-chatgpt/) gives us ‘Google Stock Heads to Record Highs as Gemini 3 Outperforms ChatGPT’, as such it is now the fifth time Microsoft loses. There was Sony, There was AWS, There was Google and now there is Google again. It sucks to be Microsoft. And the howling continues. 

So FXLeaders gives us two bullets that matters.

So as we are given “Alphabet emerged as one of the standout megacap performers in November, delivering a decisive breakout that carried shares through the $300 mark and to a fresh all-time high near $329. The move completed a strong rebound from a late-September pullback and reinforced confidence in the company’s long-term growth trajectory. The rally was fueled by sustained institutional demand and growing optimism around Google’s artificial intelligence roadmap. For much of October and November, Alphabet benefited from its unique position at the intersection of digital advertising dominance and AI platform leadership.

As well as “The rollout of Gemini 3—trained primarily on Google’s in-house chips rather than external hardware—has sparked renewed debate around vertical integration in artificial intelligence. Supporters view this as a long-term strategic advantage, potentially lowering costs and reducing reliance on third-party suppliers while optimizing performance. Recent benchmark results, where Gemini 3 reportedly outperformed ChatGPT in several categories, have added to that narrative and intensified competitive pressure across the sector.” So wonder about how the media could not get you this two weeks ago and wonder now why I refer to the media (the larger part) as the Courtesans of the digital dollar. This should have been know and tested for by several parties directly, and I don’t care who won, we were not informed. As I see it, Microsoft has too powerful a hold on the media and the media who shunned their jobs need to be named and shamed. Sound simple, doesn’t it? As such I also present a second source, so there is a little more data drivenness to the fold. It is a story (at https://www.startuphub.ai/ai-news/ai-research/2025/google-gemini-3-redefines-ai-reasoning-and-efficiency/) where StartupHub.AI gives us “The core of Gemini 3’s impact lies in its unprecedented reasoning and multimodal understanding. According to the announcement, Gemini 3 Pro, Google’s most powerful model to date, not only topped the LMArena Leaderboard but also achieved breakthrough scores on challenging benchmarks like Humanity’s Last Exam and GPQA Diamond. These tests are designed to assess an AI’s ability to truly think and reason like humans, indicating a sophisticated capacity to process and synthesize information across various modalities, moving closer to genuine comprehension. Furthermore, its gold-medal standard performance in international mathematics and coding contests, powered by its Deep Think capabilities, signals a new era for AI in complex problem-solving, pushing the boundaries of what automated systems can achieve in abstract domains.” So as we wonder what some of them mean, the benchmarks were available to pretty much all the media, so what prevented them to report on it? Simple question, isn’t it?

And you might wonder why I care, or why I believe these sources. There is a setting that sets up a lot of consideration and that is right, but the media isn’t informing us and they aren’t making any tests, even though I gave one test to the world (not necessarily a good one) but the media did NOTHING. They allegedly value the digital dollars too much and they rely on players like the Microsoft stakeholders to fund their gravy train (as I personally see it) So am I right, am I wrong? I would love to be wrong, but I have seen this before (more than once). But as I see these results there is a larger play in motion. Is Google actually that good? I am not debating it, I am asking and it comes with an answer. It is either Yes, No, or it is under advisement. The first two are simple and it can begotten by showing the evidence, but the Media did nothing of the sort, perhaps some did, but the larger groups are abstaining from involvement (it sounds better then ‘They cower the results if involved’ because that makes them sound like actual pussies. So why am I so angry about this? It is a result we were entitled to and it requires OpenAI to divulge its heading and not cater to asking for more value when there is none to be had (at present). And as such investors are duped into not receiving the evidence they need to make financial decisions. But perhaps I am over simplifying the problem here.

Whatever you consider and whatever you decide is yours to do and you are entitled to the best information to make these decisions and the media is no longer able to do that. I don’t care if you embrace ChatGPT and OpenAI. That’s fine, I am not choosing favorites, I actually don’t care, but I do care about lacking media, lacking results and hiding behind some stakeholder whilst the people have a right to know. They use that as their battle drum, so they can be held to that as well. It is a simple setting as I see it.

Have a great Christmas Day, 23 hours until boxing day for me.

Leave a comment

Filed under Finance, IT, Media, Science