Many have been studying the YouTube algorithm and even Alex Jones tried to cover for it by saying it can guess what you’re thinking by what you’ve done in the past. ALL BULLSHIT. It knows what you’re thinking. How does it not know what Trump is thinking??? It does. Is google under control of the good guys? It better be. Here’s how you know how to respond ... if everything goes along to “the plan” ... then google will be shut down and AI everywhere will be destroyed. If AI is allowed to carry on - it was all a hoax. And meant, as Maria Abramovich said, “(to) give them hope.” If you don’t remember her saying this ... you got involved after Pizzagate.
It is way deeper than many understand but there are many that realize their technology is reading our minds and even testing it through Ricky Gervais monologues. All fun & games. No matter - the Lord is coming ...and don’t believe in the fake Jesus they give us first. I know you won’t. Stay strong. In Revelation it states that no one will know what is coming. That is key. Q doesn’t know, the evil triumvirate doesn’t know, the prophets are only given a timeline of a possibility of what could happen. Stay with God. That’s the best advice I can give you.
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[–] 22049593? ago
Absolutely, AI is really not "smart" at all, the main difference between programming AI and a standard algorithm is that, rather than sorting out all the various conditions required to process the data the programmer builds the structure and feeds the data through it and it refines the data flow to accomplish the task.
Maybe there are some next level tech hidden away in some lab that is more refined, but mostly they are not much more refined than that.
Chat bots, recommendation systems, even deep fakes are really narrow AI. They are good for the tasks that they have had data fed through them, but even taking a trained AI system and feeding it a different data set will ruin what it learned about the first round of data.
It's also worth noting that what an AI "learns" is the weight to apply to the math, there's no conception for what the data means. That's why it was found that if you took a known data set of images, for example, and added a singular white dot in the middle somewhere, the algorithm would be wrong every time.