Saved by Kasper Jordaens
AI is learning how to create itself
The chief challenge, as Lee sees it, is how to make AI smarter without just throwing more data and computing power at it. His hope rests on the iterative tweaking of algorithms that improve the performance of AI at a “geometric pace.”
noemamag.com • Will AI Bring Plentitude or Further Imperil the Planet? | NOEMA
Evolutionaries believe that the mother of all learning is natural selection. If it made us, it can make anything, and all we need to do is simulate it on the computer. The key problem that evolutionaries solve is learning structure: not just adjusting parameters, like backpropagation does, but creating the brain that those adjustments can then fine
... See morePedro Domingos • The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
In the past, we would have said only a superintelligent AI could drive a car or beat a human at Jeopardy! or recognize a billion faces. But once our computers did each of those things in the last few years, we considered that achievement obviously mechanical and hardly worth the label of true intelligence. We label it “machine learning.” Every achi
... See moreKevin Kelly • The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future
Perhaps, rather than painstakingly trying to hand-code the things we care about, we should develop machines that simply observe human behavior and infer our values and desires from that.
Brian Christian • The Alignment Problem
That’s because the models are trained, not programmed.
“They almost grow organically,” says Batson. “They start out totally random. Then you train them on all this data and they go from producing gibberish to being able to speak different languages and write software and fold proteins. There are insane things that these models learn to do, but we do... See more
“They almost grow organically,” says Batson. “They start out totally random. Then you train them on all this data and they go from producing gibberish to being able to speak different languages and write software and fold proteins. There are insane things that these models learn to do, but we do... See more