Tag Archives: Google Gemini

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.

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Driving the herds

OK, I am over my anger spat from yesterday (still growling though) and in other news I noticed that Grok (Musk’s baby) cannot truly deal with multidimensional viewpoints, which is good to know. But today I tried to focus on Oracle. You know whatever AI bubble will hit us (and it will) Oracle shouldn’t be as affected as some of the Data vendors who claim that they have the golden AI child in their crib (a good term to use a month before Christmas). I get that some people are ‘sensitive’ to doom speakers we see all over the internet and some will dump whatever they have to ‘secure’ what they have, but the setting of those doom speakers is to align THEIR alleged profit needs to others dumping their future. I do not agree. You see Oracle, Snowflake and a few others offer services and they are captured by others. Snowflake has a data setting that can be used whether AI comes or not, whether people need it or not. And they will be hurt when the firms go ‘belly up’ because it will count as lost revenue. But that is all it is, lost revenue. And yes both will be hurting when the AI bubble comes crashing down on all of us. But the stage that we see is that they will skate off the dust (in one case snow) and that is the larger picture. So I took a look at Oracle and behold on Simple Wall Street we get ‘Oracle (ORCL) Is Down 10.8% After Securing $30 Billion Annual Cloud Deal – Has The Bull Case Changed?’ (At https://simplywall.st/stocks/us/software/nyse-orcl/oracle/news/oracle-orcl-is-down-108-after-securing-30-billion-annual-clo) With these sub-line points:

So they triple their ‘business’ and they lose 10.8%? It leads to questions. As I personally see it, Wall Street is trying to insulate themselves from the bubble that other (mostly) software vendors bring to the table. And Simply Wall Street gives us “To believe in Oracle as a shareholder right now is to trust in its transformation into a major provider of cloud and AI infrastructure to sustain growth, despite high debt and reliance on major AI customers. The recent announcement of a US$30 billion annual cloud contract brings welcome long-term visibility, but it does not change the near-term risk: heavy capital spending and dependence on sustained AI demand from a small set of large clients remain the central issues for the stock.” And I can get behind that train of thought, although I think that Oracle and a few others are decently protected from that setting. No matter how the non existent AI goes, DML needs data and data needs secure and reliable storage. So in comes Oracle in plenty of these places and they do their job. If 90% business goes boom, they will already have collected on these service terms for that year at least, 3-5 years if they were clever. So no biggy, Collect on 3-5 years is collected revenue, even if that firm goes bust after 30 days, they might get over it (not really). 

And then we get two parts “Oracle Health’s next-generation EHR earning ONC Health IT certification stands out. This development showcases Oracle’s commitment to embedding AI into essential enterprise applications, which supports a key catalyst: broadening the addressable market and stickiness of its cloud offerings as adoption grows across sectors, particularly healthcare. In contrast, investors should be aware that the scale of Oracle’s capital commitment brings risks that could magnify if…” OK, I am on board with these settings. I kinda disagree, but then I lack economic degrees and a few people I do know will completely see this part. You see, I personally see “Oracle’s commitment to embedding AI into essential enterprise applications” as a plus all across the board. Even if I do believe that AI doesn’t exist, the data will be coming and when it is ironed out, Oracle was ready from the get go (when they translate their solutions to a trinary setting) and I do get (but personally disagree) with “the scale of Oracle’s capital commitment brings risks that could magnify if”. Yes, there is risk but as I see it Oracle brings a solution that is applicable to this frontier, even if it cannot be used to its full potential at present. So there is a risk, but when these vendors pay 5 years upfront, it becomes instant profit at no use of their clouds. You get a cloud with a population of 15 million, but it is inhabited by 1.5 million. As such they have a decade of resources to spare. I know that things are not that simple and there is more, but what I am trying to say is that there is a level of protection that some have and many will not. Oracle is on the good side of that equation (as is Snowflake, Azure, iCloud, Google Gemini and whatever IBM has, oh, and the chips of nVidia are also decently safe until we know how Huawei is doing. 

And the setting we are also given “Oracle’s outlook forecasts $99.5 billion in revenue and $25.3 billion in earnings by 2028. This is based on annual revenue growth of 20.1% and an earnings increase of $12.9 billion from current earnings of $12.4 billion” matters as Oracle is predicting that revenue comes calling in 2028, so anyone trying to dump their stock now is as stupid as they can be. They are telling their shareholders that for now revenue is thimble sized, but after 2028 which is basically 24 months away, the big guns come calling and the revenue pie is being shared with its shareholders. So you do need brass balls to do this and you should not do this with your savings, that is where hedge funds come in, but the view is realistic. The other day I saw Snowflake use DML in the most innovative way (one of their speakers) showed me a new lost and found application and it was groundbreaking. Considering the amounts of lost and found is out there at airports and bus stations, they showed me how a setting of a month was reduced to a 10 minute solution. As I saw it, places like Dubai, London and Abu Dhabi airport could make is beneficial for their 90 million passengers is almost unheard of and I am merely mentioning three of dozens upon dozens of needy customers all over the world. A direct consequence of ‘AI’ particulars (I still think it is DML with LLM) but no matter the label, it is directly applicable to whomever has such a setting and whilst we see the stage of ‘most usage fails in its first instance’ this is not one of them and as such in those places Oracle/Snowflake is a direct win. A simple setting that has groundbreaking impact. So where is the risk there? I know places have risks, but to see this simple application work shows that some are out there showing the good fight on an achievable setting and no IP was trained upon and no class actions are to follow. I call that a clear win.

So, before you sell your stock in Oracle like a little girl, consider what you have bought and consider who wants you to sell, and why, because they are not telling you this for your sake, they have their own sake. I am not telling you to sell anything. I am merely telling you to consider what you bought and what actual risks you are running if you sell before 2029. It is that simple.

Have a great day (yes Americans too, I was angry yesterday), These bastards in Vancouver and Toronto are still enjoying their Saturday. 

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