Is it more than buggy?

Very early this morning I noticed something. Apple had made a booboo, now this isn’t a massive booboo and many will hide behind the ‘glitch’ sentiment. But this happened just as I was reading some reports on AI (what they perceive to be AI) and things started to click into place. You see AI (as I have said several times before) does not yet exist. We are short on several parts and yes machine learning and deeper machine learning exist and they are awesome. But there is a extremely dangerous hitch there. It is up to the programmer and programmers are people, they will fail and with that any data model connected will fail, it always will.

So what set this off?
To see this we need to see the image below

It was 01:07 in the morning, just after one o clock. The apple wedge gives us on all 4 timezones that it was today. Vancouver minus 19 hours, making it 06:07 in the morning. Toronto minus 16 hours making it 09:07 in the morning. Amsterdam minus 10 hours making it 15:07 in the afternoon and Riyadh with its minus 8 hours making it 17:07 in the afternoon. And all of them YESTERDAY. Now, we might look at this and think, no biggie and I would agree. But the setting does not en there.

Now we get to the other part. Like hungry all these firms are tying to get you into what they call ‘the AI field’ and their sales people are all pushing that stage as much as they can, because greed is never ending and most sales people live from their commission.

So now we see:

In addition there is Forbes giving us (at https://www.forbes.com/sites/joemckendrick/2024/01/04/not-data-driven-enough-ai-may-change-that/) where we see ‘Not Data-Driven Enough? AI May Change That’ where we are given “Eighty-eight percent of executives said that investments in data and analytics are a top priority, along with 63% for investments in generative AI.” To see my issue we need to take a step back. 

On May 27th 2023 the BBC reported (at https://www.bbc.com/news/world-us-canada-65735769) that Peter LoDuca, the lawyer for the plaintiff got his material from a colleague of his at the same law firm. They relied on ChatGPT to get the brief ready. As such we get: ““Six of the submitted cases appear to be bogus judicial decisions with bogus quotes and bogus internal citations,” Judge Castel wrote in an order demanding the man’s legal team explain itself.” Now consider the first part. An affidavit is prepared by the current levels of machine learning and they get the date wrong (see apple example above). An optional mass murderer now gets off on a technicality because the levels of scrutiny are lacking. The last part of the case in court gives us “After “double checking”, ChatGPT responds again that the case is real and can be found on legal reference databases such as LexisNexis and Westlaw.” A court case for naught and why? Because technology isn’t ready yet, it is that simple. 

The problem is a little bot more complex. You see forecasting exists and it is decently matured, but it is used in the same breath as AI, which does not yet exist. There are (as I personally see it) no checks and balances. Scrutiny on the programmer seemingly goes away when AI is mentioned and that is perhaps the largest flaw of all. 

There is a start, but we are in its infancy. IBM created the quantum computer. It is still early days, but it exists. Lets just say that in quantum computers they created the IBM XT computer of Quantum, with its version of an intel 8088 processor. And compared to 1981 it was a huge step forward. What currently is still missing due to infancy are the shallow circuits, they are nowhere near ready yet. The other part missing is the Ypsilon particle now ready for IT. The concept comes from a Dutch Physicist (I forgot the name, but I mentioned it in previous blogs). I wrote about it on August 8th 2022. In a story called ‘Altering Image’ You see that will change the field and it makes AI possible. In the setting the Dutch physicist sets the start differently. The new particle will allow for No, Yes, Both and None. It is the ‘both’ setting of the particle that changes things. It will allow for gradual assumptions and gradual stage settings. Now we will have a new field, one that (together with quantum computing) allows for an AI to grow on its data, not hindered (or at least a lot less hindered) by programmers and their programming. When these elements are there and completed to its first stage an AI becomes a possibility. Not the one that sales people say it is, but what the forefather of AI (Alan Turing) said it would be and then we will be there. IBM has the home field advantage, but until that happens it will be anyones guess who gets there first.

So enjoy your day and when you are personally hurt by an AI, don’t forget there is a programmer and its firm you could optionally sue for that part. Just a thought. 

Enjoy THIS day.