lilgreenland

I don't see a reason to separate training when we evaluate AI intelligence.

What about evolutionary intelligence optimization pressure?

Genetic algorithms are smart enough to make life. It seems like genetic algorithms don't care how complex a task is since it doesn't have to "understand" how its solutions work. But it also can't make predictions. It just has to run experiments and see the results.

plant growth is not doubled yet, but this is still really neat.

“We’re not at the point where we’re outperforming wild-type tobacco, but we’re on the right trajectory,” Gunn said. “We only need fairly modest improvements to Rubisco performance, because even a very small increase over a whole growing season can lead to massive changes in plant growth and yield, and the potential applications span many sectors: higher agricultural production; more efficient and affordable biofuel production; carbon sequestration approaches; and artificial energy possibilities.”

Well after seeing the second video I'm pretty convinced it's superconductive or a good scam. The effect was probably just not strong enough in the first video.

well that one looks great. Maybe in the original video a superconductive effect was there, but not strong enough to frame lock. But you can see it in the newer video.

And I think that's what we are seeing in the video. The eddy current effect isn't permanent like in superconductivity. They have to keep moving the magnet around.

Well normal copper does this in presence of a strong magnet. I don't think we are seeing superconductivity, just regular copper Meissner effect. Super conductive would frame lock the copper. right?

They also go wrong with large scale phenomena like inflation, dark matter, and dark energy.