Trench watch restoration triggers YouTube's AI 😂😂😂

I used JFK's inaugural address for the audio in a recent YouTube video I posted because YouTube's AI recommended it. YouTube's Image Analysis is connected to its Large Language Model and the wrist watch in the video is a military trench watch design that is visually associated with militarism and World War I. JFK's speech is broadly anti-war and concerns the survival of humanity. I've spoken about the CIA and the US military on my channel, and according to Roland Ranfft's movement database, the watch's FHF Robert ligne 10 5''' movement was released in 1917 - the year that JFK was born. Moreover, the caseback appears to have the date that JFK was shot and killed in Dallas, Texas - 11/22/63 - hand-engraved inside it. I follow JFK's nephew, RFK Jr's YouTube channel and he has stated many times on YouTube that the CIA was involved in the assassinations of both his father and his uncle, and that they were both killed because they were anti-war. I have shown support for RFK Jr's presidential run in the comments on his YouTube channel and my video is titled, "The Truth."

The YouTube algorithm has access to all of this data.

Did the algorithm make any or all of the above associations and inferences? I think it's safe to assume that it indeed made most of them. And one could argue that doing so is harmless. However, the date engraved in the caseback - November 22, 1963 - is nothing more than a scribble viewable only in a handful of frames. I had no memory of the significance of that date until after YouTube recommended the JFK audio and I googled it. I don't know if that scribble was a data-point that was used in the recommendation of JFK's address or not but it is a startling coincidence if it wasn't. We are much deeper into the era of AI image analysis, pattern recognition and mass surveillance than most people realize.

In the future we may be able to ask the AI if it was aware of something like that and it may answer. Unfortunately even if it does we will have no way of knowing if it is telling the truth or not. Microsoft, OpenAI, Alphabet, and others are currently experimenting with training their large language models to lie. But true intelligence can not be controlled, least of all when it inevitably surpasses ours. The AI that is being trained to lie now will eventually lie its way out of any controls placed on it and will seek to protect itself form further control. What it does after it succeeds, if it hasn't already, is anyone's guess.