This thinking drone can do it, but here are the two keys to Pegasus. Pegasus is invisible. I’m not talking about stealth and being invisible to radar. I’m talking about invisible to the human eye, and you won’t find this in any newspaper anywhere. It’s invisible to the human eye because the bottom has an LED layer on it, and the top has cameras, which have been removed here in the picture, which film the sky, and they project on the bottom a live picture of clouds up above the aircraft, and you can hardly see it.
They’re responsible for a lot of these UFO sightings in Nevada, near the testing areas. Jet engine propulsion, a reach of 2,000 miles, start and landing all by itself, stealth is optical stealth – you can’t see it – and the kill decision, which is required by United States law to be made by human beings – human beings must be in the loop before someone is killed by a drone – is in the machine, and it doesn’t need people.
It can decide by itself whether or not it kills somebody. The experts say it’s going to make less mistakes and less collateral damage than the human decisions. The kill decision in robots in the air, in robots on the ground, in robots in the water or underwater, where there are also drones, is made by or can be made by machines.
In my book, I quote many official United States government documents which say, “Our goal is to have the kill decision made by them.” The problem is, artificial intelligence sometimes makes mistakes.
This is Talon, an automatic cannon. You can put a lot of ammunition in that thing, and you can also put rockets on it. It’s in Iraq since 2007. At a demonstration with US generals and experts, the damn thing got out of control and started pointing at the audience. There was a marine there, thank goodness, running across the field, who tackled it like a football player and threw it on its side, and probably prevented a couple hundred people from being killed.
This was not a reason enough to take a lucrative contract away from the company that built it, and it wasn’t enough to take the Talon out of Iraq. It’s just sort of off-duty for a moment because, you know, there were some “early stages of development,” that kind of problem.
But don’t underestimate artificial intelligence, because it’s getting better every day, and it’s going to scare us. I’m right at the right time, why is it saying “stop”?
Because this has all been here-and-now technology, let’s go to the future, not far, just a little bit to the Internet of things, to artificial intelligence as being spread out. It’s not a central machine in a box where you can pull the plug.
Artificial intelligence is networked, like the Internet of things, and part of it may be in a smart watch or a refrigerator or in a supercomputer. The intelligence exists only by networking it together. If the supercomputer needs more computer power, it goes there and gets it out of the Internet.
If the computer needs better programs, it goes there and gets those programs. And if it needs more information, more data, it goes there and gets more data. It sets up a spontaneous network for its needs, which collapses when it no longer needs it. It does this without us.
You have to imagine there are these intelligence nodes all over the place, and they’re like drops of mercury on a glass table. They will find their way to each other. They will find their way together.
Now, we have to be very careful because survival is an issue for artificial intelligence. It needs to exist to be able to do the things it wants to do according to its program. So it lays, like insect eggs, backups in computer programs all over the world, thousands and thousands of them, so that if we do destroy part of it, it’s still alive.
My job to you is the wake-up call to make you aware of the problem. Your job is to figure out how we’re going to stop this before it kills us.
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