[kozlovsky]

If we show a neural network some examples from the Game of Life and expect it to master the rules of a cellular automaton, then aren't we asking too much from it? In some ways, this is analogous to expecting that if we show the neural network examples from the physical world, it will automatically derive Newton's three laws. Not every person observing the world around him can independently deduce Newton's laws from scratch, no matter how many examples he sees.

[moconnor]

This is exactly what we ask of neural networks and in the case of the game of life the article and paper show that yes they do derive the rules. Equally, we can expect them to derive the laws of physics by observation - certainly diffusion networks appear to derive some of them as they pertrain to light.

[passwordoops]

"then aren't we asking too much from it"

Not according to the hype merchants, hucksters, and VCs who think word models are displaying emergence and we're 6 months from AGI, if only we can have more data

[int_19h]

Not according to the actual article that you're commenting on, either.

"As the researchers added more layers and parameters to the neural network, the results improved and the training process eventually yielded a solution that reached near-perfect accuracy."

So, no, we aren't asking too much from it. We just need more compute.

[nottorp]

Let's be snarky a bit:

Can you do a neural network that, given a starting position of the game of life, decides if it cycles or not? ;)

Ok, not cycles... dies, stabilizes, goes into a loop etc.

[elevatedastalt]

Every other day we see demos of AIs doing things that were thought of an impossible 6 months earlier, but sure, sounds like it's the "hype merchants" who are out of touch with reality.

[danielbln]

From the HN comment rules:

> Be kind. Don't be snarky. Converse curiously; don't cross-examine. Edit out swipes.

> Please don't fulminate. Please don't sneer, including at the rest of the community.

[HeatrayEnjoyer]

??

They are displaying emergence. They might as well be the walking definition of it.