What does HackerNews think of leela-zero?

Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.

Language: C++

Man beats machine at Go in human victory over AI | Jun 2023
> Kellin Pelrine, an American player who is one level below the top amateur ranking, beat the machine by taking advantage of a previously unknown flaw that had been identified by another computer. But the head-to-head confrontation in which he won 14 of 15 games was undertaken without direct computer support.

My take: what Kellin Pelrine really exploited is that the AI can't learn and adapt. Even GPT can't learn or adapt to anything beyond its context window. It took a computer to find and teach him the winning strategy, and it probably took a lot longer than AlphaGo did to train. But once he learned, he had the advantage; meanwhile AlphaGo never adapted and learned to counter the strategy itself, because it can't.

One thing to note is that he beat KataGo [1] and Leela Zero [2], but not AlphaGo or AlphaZero, because the AlphaGos aren't public. So it's possible he wouldn't actually beat the real AlphaZero with this strategy. But considering the strategy he used works in theory work against any model with AlphaGo/AlphaZero's design (he beat Leela Zero which has the exact same model), and Leela Chess and Stockfish are apparently better than AlphaZero now; I think he would still win.

[1] https://github.com/lightvector/KataGo

[2] https://github.com/leela-zero/leela-zero

DeepMind has open-sourced the heart of AlphaGo and AlphaZero | Feb 2023
Expand Context ↕
There is Leela Zero (https://github.com/leela-zero/leela-zero) for Go and lc0/Leela Chess (https://github.com/orgs/LeelaChessZero/repositories) for Chess, where both provide trained weights. The Leela Chess project specifically have been working for a long time on training and refining the weights for Chess, as well as providing the code -- they allow you to see the history and performance over time for the various trained models.
DeepMind has open-sourced the heart of AlphaGo and AlphaZero | Feb 2023
Expand Context ↕
Totally agree. I don't even know what benefit they'd get at this point from keeping some parts locked up.

Anyway if you want something runnable Leela has a nice reimplementation: https://github.com/leela-zero/leela-zero
Grandmaster level in StarCraft II using multi-agent reinforcement learning | Oct 2019
We need to create an open source organization to build these brains at home because: "Recomputing the AlphaGo Zero weights will take about 1700 years on commodity hardware."[1]

I see these huge AI brains creating a new class divide between people who have access to these new AI brains and those who don't. The mission of open source has always been to break down these barriers to empowerment with technology. Thus, this is a great area for open source innovation.

[1] https://github.com/leela-zero/leela-zero

Multiplayer AlphaZero | Oct 2019
Expand Context ↕
As much as I liked to get excited bout these kinds of papers:

"Recomputing the AlphaGo Zero weights will take about 1700 years on commodity hardware."

[1] https://github.com/leela-zero/leela-zero