7h ago

Eric Jang Explains Go Strategy Challenges Behind AlphaGo's Breakthrough

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.@ericjang11 explained Go to me in five minutes before his lecture on building AlphaGo from scratch. That was enough to see the key problems AlphaGo had to solve: gameplay involves search, but also strategic elements that make brute-force search intractable.

10:03 AM · May 19, 2026 View on X

.@ericjang11 explains the fundamental intuition behind AlphaGo: experienced Go players almost always end games early.

That means they have the ability to glance at a board and instantly know whether it's hopeless or if they should keep playing.

Without this ability, the only way to know if a move is good is to play out every possible game from that point - completely intractable.

But the ability is clearly trainable in humans. So it should be possible to get a neural net to learn it.

And if you have a good enough neural net, you can use it to ignore moves that will definitely make you lose. Suddenly search becomes tractable.

7:01 PM · May 19, 2026 · 22.8K Views