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demirbey05

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Show HN: Erdös Problem Solver Agent

github.com
3 ポイント·投稿者 demirbey05·3 か月前·1 コメント

Self-Learning Master's Curriculum for AI

github.com
1 ポイント·投稿者 demirbey05·3 か月前·0 コメント

GPT OSS Beat Humans in TriMul Competition via TTT

arxiv.org
2 ポイント·投稿者 demirbey05·6 か月前·0 コメント

Is AI solving open Erdős problems?

zeyu-zheng.github.io
3 ポイント·投稿者 demirbey05·6 か月前·0 コメント

OpenAI Board Member Zico Kolter's Modern AI Course

modernaicourse.org
10 ポイント·投稿者 demirbey05·6 か月前·4 コメント

When AI Hype Meets AI Reality: A Reckoning in 6 Charts

wsj.com
2 ポイント·投稿者 demirbey05·8 か月前·1 コメント

コメント

demirbey05
·5 か月前·議論
I have always been saying: don't be optimistic about AI. Software people prepared their end with this optimism without knowing how the economy works. "AI will make our jobs easier, I will have more time with my family," blah blah. Now we will see more news like that in the coming years. I am okay with supporting AI for curing cancer, but I am against supporting AI for disrupting the white-collar economy without a proper government plan.
demirbey05
·6 か月前·議論
It's showcase more than being take home assignment. I couldnt understand what the task is ,only performance comparisons between their LLM
demirbey05
·6 か月前·議論
https://news.ycombinator.com/item?id=46550836 Another view on that.
demirbey05
·6 か月前·議論
It's hard to cut through the AI hype when there are billions of dollars at stake. I usually trust negative comments more, as long as the person isn't trying to sell a course. Even though Terence Tao is a respected scientist, I wonder if his recent comments are driven by a need for funding due to federal cuts. I’ve had similar experiences with LLMs—whenever I ask them about hard math or RL theory, they almost always give me the wrong answers.
demirbey05
·7 か月前·議論
I am not mathematician, so it's hard to understand the comment. Thank you for your warning. I will be more careful.
demirbey05
·7 か月前·議論
I read how GPT-5 contributed to proof. It is not fully solved by GPT-5 instead assisted. For more look here https://www.math.columbia.edu/~msawhney/Problem_848.pdf
demirbey05
·7 か月前·議論
This is response from mathematician: "This is quite something, congratulations to Boris and Aristotle!

On one hand, as the nice sketch provided below by tsaf confirms, the final proof is quite simple and elementary - indeed, if one was given this problem in a maths competition (so therefore expected a short simple solution existed) I'd guess that something like the below would be produced. On the other hand, if something like this worked, then surely the combined talents of Burr, Erdős, Graham, and Li would have spotted it.

Normally, this would make me suspicious of this short proof, in that there is overlooked subtlety. But (a) I can't see any and (b) the proof has been formalised in Lean, so clearly it just works!

Perhaps this shows what the real issue in the [BEGL96] conjecture is - namely the removal of 1 and the addition of the necessary gcd condition. (And perhaps at least some subset of the authors were aware of this argument for the easier version allowing 1, but this was overlooked later by Erdős in [Er97] and [Er97e], although if they were aware then one would hope they'd have included this in the paper as a remark.)

At the moment I'm minded to keep this as open, and add the gcd condition in the main statement, and note in the remarks that the easier (?) version allowing 1 and omitting the gcd condition, which was also asked independently by Erdős, has been solved."

The commentator is saying: "I can't believe this famous problem was solved so easily. I would have thought it was a fake proof, but the computer verified it. It turns out the solution works because it addresses a slightly different set of constraints (regarding the number 1) than what Erdős originally struggled with. (Generated by Gemini)
demirbey05
·10 か月前·議論
I started fully coding with Claude Code. It's not just vibe coding, but rather AI-assisted coding. I've noticed there's a considerable decrease in my understanding of the whole codebase, even though I'm the only one who has been coding this codebase for 2 years. I'm struggling to answer my colleagues' questions.

I am not defending we should drop AI, but we should really measure its effects and take actions accordingly. It's more than just getting more productivity.