Recently I care about how to create harness for mathematics that uses up the complete reasoning ability of the model. I care about both capability and cost.

Most generic harness we have now are not made for maximizing reasoning. I've tested agents like codex, and rarely the cost of reasoning tokens reaches more than 20%. Which is quite strange as math requires a lot of reasoning. So hackathons can be a good test bed.

Comments URL: https://news.ycombinator.com/item?id=48965610

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Comments URL: https://news.ycombinator.com/item?id=48945327

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https://chaoxu.prof/posts/2013-01-30-there-exist-a-path-of-l...

I also want to get it to work on cycles, but then I hit the cycle double cover conjecture so I gave up.

Once I tried it, I can never go back. It is so simple and worked exactly as I thought how it should work.

I would say it is just a modern version of tmux but really thought about user experience of more novice users. For people who come from the mouse world, moving to this is quite seamless.

Also, coming to the comments, I would think maybe `zellij` would also work well. Or use `zmc` and build something on top. `zmc` is great, as the then the tab/window management can be handled by the desktop or TUI, depend on what someone want to use.

Let's ignore tie-breaker. Is it the following abstract problem?

Given a partial order A (the hard rules) and a total order B (the scores). Find a total order C that is an linear extension of A and "agrees" with B the most.

I feel if phrase this way, then there is probably some faster greedy approximation of w/e "agrees" you are thinking about, because w/e you are doing here is also just an approximation of w/e true best you are thinking.

If one changes something, a quick update to the AST would happen incrementally.

Now with all these llm I might actually see if it can be done.

Comments URL: https://news.ycombinator.com/item?id=48542685

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I feel quite useless in the sheer brutal proof writing, counterexample generating skill chatgpt is demonstrating, and wonder what would be the future of my profession.

https://github.com/chaoxu/coflat

Mine also have lot of bugs (especially reader and editor doesn't completely match yet).

repro the issue: click random places and add random texts, scroll around, and issues come up sooner or later.

I was trying to create something like this too, because I need something that also work for mathematical writing. Let me push a version on github and update, it fixes a lot of issues.

Unfortunately it works on my own version of markdown, which is a subset of pandoc markdown, but I think one can get claude to update the parser to work for other things.

I'm working on a mathematical knowledge base software.

It's kinda like a local Github for math. In fact the backend is actually a Forgejo instance, I'm building a frontend for human and also a harness for agents that automatically consumes the knowledge base and expand on it. I realized the Issue/PR/review workflow works well for maintaining knowledge base too.

The motivation is actually help mathematicians/me TODAY to able to do math together with human/AI.

The knowledge base keeps mathematical writing as plain Markdown, but adds stable IDs, backlinks, search, draft changes, review, approvals, and merge. The agent side can read the same pages, follow the same references, propose edits, and go through the same review process as a human.

I’m not using formalization here. Everything is still natural-language proofs. The practical reason is that many areas I care about are not easy to formalize yet because it is not in mathlib.

I see this as a transition project: useful before autoformalization really works well, and maybe still useful afterward as the place where humans and agents organize exploration.

Comments URL: https://news.ycombinator.com/item?id=47914788

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This does not align with my experience of people working in OR.