Merged Artificial Intelligence

[Ziggurat]

I believe your assertion about steps 3 - 5 is incorrect.

Your quote (source?) seems to back me up.

For 3: 'It was given a neural network with a "value head".'

For 4: 'It was programmed with a Monte Carlo Tree Search (MCTS) algorithm.'

For 5: 'During an actual game, AlphaZero combines its calculation (MCTS) and its intuition (the neural network).'

Sounds to me like this is exactly what I described: it was programmed how to figure out these steps, by giving it a neural network, an MCTS algorithm, and the instruction to combine them. These parts were programmed in.

 

[SpuriusMaximus]

TBH, I don't find chess to be a great example anyway. The top chess players just recognise board configurations, and the best answer to them. While the total number of possible combinations on the board is astronomical (as in 40 orders of magnitude higher than the number of atoms in the observable universe,) a data centre can still store more of them than a human can. And a data centre can simulate billions of games a day, which is more than a human can even read about in a lifetime, to learn from them. It's a nice stunt for PR, but basically it's still brute forcing it by throwing more SSD space at it than a human brain can.

Now try doing the same with Go, which has 50 orders of magnitudes more possible legal combinations.

 

[theprestige]

A recurring theme in the fantasy adventure anime, Frieren: Beyond Journey's End, is that demons are not human. They are sometimes very good at emulating human behaviors, and sometimes very good at aping human motivations. But they are not human, will never be human, and will never be anything other than a real threat to human existence.

 

[The Atheist]

Rather than read pages of drivel about chess to see if it's been mentioned already, I'll post this, and if it's already been posted, hard luck: https://arstechnica.com/health/2026...al-care-for-seniors-in-disastrous-experiment/

 

[Darat]

TBH, I don't find chess to be a great example anyway. The top chess players just recognise board configurations, and the best answer to them. While the total number of possible combinations on the board is astronomical (as in 40 orders of magnitude higher than the number of atoms in the observable universe,) a data centre can still store more of them than a human can. And a data centre can simulate billions of games a day, which is more than a human can even read about in a lifetime, to learn from them. It's a nice stunt for PR, but basically it's still brute forcing it by throwing more SSD space at it than a human brain can.

Now try doing the same with Go, which has 50 orders of magnitudes more possible legal combinations.

Go was mastered years ago, before ChatGPT and the other upstarts were a twinkle in the eyes.

ETA: had to check the dates and this is correct from an AI Google search: October 2017: DeepMind unveiled AlphaGo Zero, which learned entirely from scratch via reinforcement learning without human data and mastered the game in just three days.

They had another iteration that was beating the Go world champions back in 2015/16