4h ago

Analysis argues AI advancements accelerate human problem-solving, citing post-AlphaGo Go performance and combinatorics breakthroughs

Humans used AI-derived techniques to solve unit distance problems.

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Original post
OPLisan al Gaib#980Lisan al Gaib@SCALING01

True, but does it matter? Will humans soon be permanently behind, like in Poker, Go and Chess? It's worth pointing out that this is a bit different. Because language models can actually tell us how and why something works, so maybe the gap won't be as large as in these other domains. But I still suspect there's a ceiling for what humans can understand. Oh, and the obvious example of that is of course biology. Generally speaking we have a pretty good idea how every individual part, for example in the human body, is working. But we can't really predict the downstream effects of one change. This is a big problem in drug discovery. I suspect AI will be able to predict downstream effects of drugs much better than we do in a few months/years. Because to me it all seems too similar to what Mythos and GPT-5.5 just did with math and cyber. It's just a scaled up version of that with even more interactions and possible combinations, which AI can keep track of.

3:59 AM · May 28, 2026 View on X
QUOTE POSTBoris Power#357Boris Power@BORISMPOWER

And hopefully in all aspects of life, economy and politics!

Noam BrownNoam Brown@polynoamial

After AlphaGo, the skill of human Go players noticeably improved. I suspect we will see a similar pattern in math.

9:39 AM · May 28, 2026 · 232.1K Views
1:42 PM · May 28, 2026 · 2.2K Views
QUOTE POSTelvis#475elvis@OMARSAR0

And if we improve AI in the right direction, I suspect it can happen in all sciences as well.

Noam BrownNoam Brown@polynoamial

After AlphaGo, the skill of human Go players noticeably improved. I suspect we will see a similar pattern in math.

9:39 AM · May 28, 2026 · 232.1K Views
1:18 PM · May 28, 2026 · 3.4K Views
QUOTE POSTLisan al Gaib#980Lisan al Gaib@SCALING01

True, but does it matter?

Will humans soon be permanently behind, like in Poker, Go and Chess?

It's worth pointing out that this is a bit different. Because language models can actually tell us how and why something works, so maybe the gap won't be as large as in these other domains.

But I still suspect there's a ceiling for what humans can understand. The main bottleneck is working memory. Oh, and the obvious example of that is of course biology. Generally speaking we have a pretty good idea how each individual part, for example in the human body, is working. But we can't really predict the downstream effects of one change. This is a big problem in drug discovery.

I suspect AI will be able to predict downstream effects of drugs much better than we do in a few months/years. Because to me it all seems too similar to what Mythos and GPT-5.5 just did with math and cyber. It's just a scaled up version of that with even more interactions and possible combinations, which AI can keep track of.

Noam BrownNoam Brown@polynoamial

After AlphaGo, the skill of human Go players noticeably improved. I suspect we will see a similar pattern in math.

9:39 AM · May 28, 2026 · 232.1K Views
11:01 AM · May 28, 2026 · 6.7K Views
QUOTE POSTDaniel Jeffries#1988Daniel Jeffries@DAN_JEFFRIES1

Virtuous circle. Intelligence begets more intelligence.

Noam BrownNoam Brown@polynoamial

After AlphaGo, the skill of human Go players noticeably improved. I suspect we will see a similar pattern in math.

9:39 AM · May 28, 2026 · 232.1K Views
12:57 PM · May 28, 2026 · 1.1K Views
Analysis argues AI advancements accelerate human problem-solving, citing post-AlphaGo Go performance and combinatorics breakthroughs · Digg