niva

Is this with or without the steam deck?

Not that I don’t like the steam deck, I think it is really great for linux adaption. I am just curious.

That makes sense, thank you!

https://aur.archlinux.org/packages/bitwig-studio This?

I also use Proton VPN as well as Proton mail, Calendar and drive (proton cloud storage). I am also on arch and quite satisfied with Proton.

Zumindest kann man den Beamten nicht nachsagen sie haetten den Knall nicht mehr gehoert …

Komplett abschaffen und die steuerlichen Mehreinnahmen als Kindergeld auszahlen!

Well, me as a human, yes! We all constantly have an inner dialog that helps us to solve problems. And LLMs could do this as well. It is in principle not so much different from playing chess against yourself. As far as I know, these chess NN are playing against older versions of themself to learn. So it doesn’t have to play against the exact copy of itself.

Some of the training of image generators is done by two different AIs. AI-1 learns to differentiate between generated and real images and AI-2 tries to trick AI-1 by generate images that AI-1 can’t differentiate from real images. They both train each other! And the result is that AI-2 can create images that are very close to real images. All without any human interaction. But they do need real images as training data.

Well of course there is a lot of hype around it. And it probably is over hyped at the moment. But there will be the next breakthrough in AI/LLMs. I don’t know when, but I think it will be when AIs learns by interacting with other AIs.

Well, our natural languages are developed over thousands of years. They are really good! We can use them to express our self’s and we can use them to express the most complicated things humans are working on. Our natural languages are not holding us back! Or maybe the better take is, if the language is not sufficient we do expand them how it is necessary! We develop new special words and meaning for a special subjects. We developed math to express and work with laws of nature in a very compact way efficient way.

Understanding and working with language is the key to AGI.

Yes, big NN use a lot of power at the moment. Funny example is, when DeepMinds AlphaZero-Go engine beat one of the best human player. The human mind operates on something like 40W or so while AlphaZero-Go needed something like a thousand times of that. And the human even won a few games with his 40W :)

And yes you are right, AI systems learn very inefficient compared to a human brain. They need a lot more data/examples to learn from. When the AlphaZero chess engine learned by playing against itself, it played billions of chess matches in a few days. So a lot more a human can play in its lifetime.