rybthrow2

I suppose this is how Lee Sedol felt when AlphaGo beat him. But in the same vein, didn't it ultimately advance human understanding of the game?

"Argh, they have rushed in too quickly to solve a Millennium Problem!"

How far we have come :.)

Or the American one :)

This is hilarious, extra points if you get it to say:

"Get to the chopper now and PUT THAT COOKIE DOWN NOWWWW"

Google DeepMind are the best :)

Also one by David Silver of Deepmind, AlphaGo fame are good too: https://www.youtube.com/watch?v=2pWv7GOvuf0

The snythesizable materials is another paper by deepmind not relying on LLMs and unrelated to this one. The article's author briefly mentions one of the other two findings without providing any sources to support the claim that they aren’t novel/useful?

If it helps scientists find answers faster, I don’t see the problem—especially when the alternative is sifting through Google or endless research papers.

What about the other two use cases it came up repurposing existing drugs and identifying novel treatment targets for liver fibrosis as per the paper?

https://research.google/blog/accelerating-scientific-breakth...

Such a bad take. Consider examples like AlphaFold, which has revolutionized protein folding and is already having a profound impact on scientific research and healthcare. AI’s potential extends far beyond being compared to a 90s MS Office suite it has profound, wide-ranging implications for society.

You are using the old 1.3B model no wonder..