https://rt.com/news/609821-musk-ai-prediction/
Numerous problems will be blamed on AI.
Even, turning against “humanity”.
It’s an elaborate ruse; just as CO2 Climate Change, Covid1984, GMOs, etc. etc.
There are many layers to programming.
Hacking, is nothing new.
IMO, AI has & is being set-up.
A very convenient fall guy.
The new Russian and/or Chinese.
Or, a Russian AI and/or Chinese AI.
AI, added to the boogeyman bag….
"The computer scientist cited a common fear that the AI machines currently being trained “would lead to systems that turn against humans.”
That’s what these systems are designed to do.
I WISH PEOPLE REPORTING ON THIS WOULD SAY SO FIRST INSTEAD OF DIVING STRAIGHT INTO FEAR PORN.
Artificial Intelligence has and will always have many positive aspects to it. ‘We’ just need to hold back the reins of development to stop all the nefarious aspects of it before they start. Fear porn just over complicates a new and little understood system. As for Musk, he’s not doing what he’s doing for the good of mankind. He, like Zuckerberg, is just another ‘made up’ persona who came out of no where to front for one of the globalist entities trying to push their agenda for world domination, then control. Tick tock, tick tock, the year 2100 is getting close…
And the positive spin on making data centers everywhere is feeding the beast…wake up folks.
What you have today is technology making policy decisions.
With AI, that is only going to increase exponentially.
“Guys, it’s time to stop polishing the turd”. Jenson Huang, CEO Nvidia
It’s looking like the whole technology industry is moving according to the rhythms of computer manufacturers. Nvidia is now the leader, and it was made so - by betting early on AI. The lead time is usually at least a year or two. But Nvidia turned that around, and got it down to almost 1/2 year. Plus they innovated a number of bottlenecks.
Long story short, AI is a built-in feature within countless numbers of chips.
In other words, designed for the user to write AI code easily.
There are advantages.
For example, pursuing a software problem, where an AI model can take a disease, including types of cancer, as input, and generate a molecular cure for it. Which is the next Big Thing: Digital Biology, molecular science.
Problem is AI is taking the leading role.
It would be real hard to go against this powerful wave of AI, where the very tools being used to realize solutions, are AI itself.
It makes to connections/data the researchers ask for.
Think: google AI on steroids.
Hence. it’s time to stop polishing AI.
AI diminishing returns - are already manifesting themselves.