pama

5 ms·

1.
by pama 3d ago
This person knew they did not prove the Collatz conjecture and others independently figured it out within hours. Not sure this is at all relevant, other than pointing out how trivial it is for the community to understand errors in lean4.
2.
by pama 4d ago
I agree with search, which is what mathematicians also use over longer periods of time. But it is not brute force search (and neither is alphago’s search or modern stockfish, though both still search at depth and speed higher than typical h
3.
by pama 4d ago
Not sure what you mean. Here is what happened in that case: https://news.ycombinator.com/item?id=49137060#49140177
4.
by pama 4d ago
You misunderstood. This new project has 2,900 LOC. Maybe the spelling change is too subtle.
5.
by pama 4d ago
Perhaps you did not understand the Fermat theorem proof announcement/repo or the link. The 13 million lines did not use any external, possibly not honest libraries, as the proof eventually only used the fundamental axioms. So for the
6.
by pama 5d ago
I had good luck with Kevin Lin’s tip for Astra: “Can you radically simplify the implementation?”
7.
by pama 7d ago
You jest and that is OK. Brute force search is not something you can do over math problems of that difficulty or anything with combinatorial complexity. To me it feels closer to taking the top 10k human mathematicians on a large retreat for
8.
by pama 7d ago
As far as I understand the 10k agents worked on the proof. The lean formalization came later and was easier/faster than getting the proof.
9.
by pama 7d ago
If you work with distributed systems, you still call that scenario a success. On the other hand, if the 3/4 of agents going off the rails bring down the whole mission, that is a failure. The latter would have been my guess with current
10.
by pama 7d ago
I am not sure what you mean here. There exist plenty high-concern biological threats that dont need any AI help. Human oncovirus design is low on my concern list (immunity is diverse), and in any case it does not need AI—rather labspace. Di
11.
by pama 7d ago
Other than the undeniable breakthrough in math, the important point is the ability to orchestrate 10k agents to productively work on a single problem, which creates options: > OpenAI, meanwhile, says its experience with Navier-Stokes cou
12.
by pama 7d ago
They managed to solve a problem that was beyond current human ability.
13.
by pama 8d ago
Not only that, but it used 10k agents coherently over 88 hours to come up with the proof. This is a significant advance.
14.
by pama 16d ago
So at 3 million different files you have a 98.3% chance of a hash collision. Wouldnt that cause problems in real datasets?
15.
by pama 16d ago
30 years late, but I will take it. Contracts look useful and less messy than exceptions.
16.
Rosalind Workbench: Empowering every scientist to be their own research team(developers.openai.com)
2 points by pama 19d ago|0 comments
17.
by pama 19d ago
Oh, the use of “load-bearing” is a pretty clean bug in the system context of Claude code. It can be fixed trivially. The overuse of particular language constructs, including the one you suggested, is a more interesting problem; it is fixabl
18.
by pama 19d ago
Interesting use of Claude’s construct! Your phrasing might also suggest that it resolves something else, which is left ambiguous, whereas your other construct would be less likely to suggest that idea (unless you explicitly appended a contr
19.
by pama 19d ago
> "It <verb>s no <noun>" instead of "It doesn't <verb> <noun>" The meaning is often different in these constructs. Consider: “Claude answers no questions” vs “Claude doesn’t answer questi
20.
by pama 21d ago
> Is the energy usage so different between local and cloud inference? In throughput mode for agentic loads, the energy usage (tok/s/MW) of the new NVidia Vera Rubin hardware is 30x lower than that of the B300 and perhaps 450x l
21.
by pama 22d ago
> I'm kind of lost on what to do with it. Personal assistant (e.g. openclaw) in the mac ecosystem. You need external models to power it ofc, but cool to have all the Apple integration and local network in your assistant. The claw ca
22.
Up to 30x More Work per Watt: Nvidia Vera Rubin NVL72(blogs.nvidia.com)
5 points by pama 23d ago|0 comments
23.
by pama 24d ago
No favorite in single spark usage really. Glimmer is interesting because it scales well under load. Qwen3.6 MoE was fast enough on low concurrency. Qwen3.8 works but slower than the DS flash on the two sparks.
24.
by pama 24d ago
Without doubt, dsv4-flash-0731. Original weights; needs two connected DGX.
25.
by pama 26d ago
Thanks! I hadn't tried it. I've started using it today; I limited a couple options about dired-local and images in kitty due to concerns from upstream security audits, but otherwise looks fantastic.
26.
by pama 26d ago
Thanks! Agreed ghostel looks fantastic. I still wish there was an in between a full TUI and a full non-interactive version, but switching to ghostel means I can fully live within emacs again.
27.
by pama 26d ago
Similar story here (user since early 90s). I wish more AI harnesses could also have a dumb-terminal mode in addition to the fully non-interactove mode, so they could all stay naturally searchable/copyable in simple comint buffers. Even
28.
by pama 27d ago
Another reason why Lockdown mode on iOS is your friend.
29.
The Souq: Value Creation and Extraction in OpenRouter(robvc.com)
1 points by pama 28d ago|0 comments
30.
Emacs 31.1 RC1 is available(lists.gnu.org)
4 points by pama 29d ago|0 comments

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