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pama
searching PlanetScale…
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6 ms
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31.
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by
pama
2mo 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.
32.
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by
pama
2mo 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
33.
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by
pama
2mo ago
Another reason why Lockdown mode on iOS is your friend.
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The Souq: Value Creation and Extraction in OpenRouter
(robvc.com)
1 points
by
pama
2mo ago
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0 comments
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Emacs 31.1 RC1 is available
(lists.gnu.org)
4 points
by
pama
2mo ago
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0 comments
36.
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by
pama
2mo ago
Hmm. I didn’t get that impression from a quick skim. Just curious: what makes you think that?
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by
pama
2mo ago
Lower latency, but broader readout of the tick bacteria at: https://nyticks.org/tick-submission/ As mentioned in the article, this is not a safe way to assess Lyme disease. I still want to know what biohazards these ti
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Open source, audited by GLM-5.3
(huggingface.co)
3 points
by
pama
2mo ago
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0 comments
39.
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by
pama
2mo ago
Thanks
40.
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by
pama
2mo ago
You now fully support version 1.0. IIRC, the first version of Mathematica I used back in early 1993 was 2.1 soon followed by 2.2, which was useful for a couple of years. How much extra work is it to reach full compatibility with that versi
41.
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by
pama
2mo ago
Application error: a client-side exception has occurred (see the browser console for more information). iPhone; Safari; Lockdown mode.
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by
pama
2mo ago
Alzheimers has a very long development stage compared to almost all other dementia (Lewis body also has a long timeline, but none of the other forms has anywhere close to the known length for Alzheimer’s disease). The original study article
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by
pama
2mo ago
No secrets—all published. Very efficient attention. Excellent kernels. Great caching subsystem. Small and well trained model.
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by
pama
2mo ago
Google’s trajectory unfortunately starts to feel similar to when yahoo lost everything in the early dotcom bubble except it owned a huge chunk of Alibaba. Google’s internal decision to stop publishing useful research probably started the sl
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by
pama
2mo ago
Large groups suffer communication bottlenecks, so by Amdahl’s law will only be as fast as a smaller group. You can of course have many independent small groups, but this is trivial and best left unsaid in the context of this comparison.
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by
pama
2mo ago
My point is exactly that we cannot even begin to start the process that will lead to “know everything” there is to know unless we make it a science first. Ad hoc statistical models are different than understanding or complete knowledge of a
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by
pama
2mo ago
The early physics background is messy and incorrect. I didnt read the full position paper, but from its start: The Lorentz transformations were by Lorentz, well before Einstein’s paper on special relativity; the principle of relativity also
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by
pama
2mo ago
Agreed in principle for today’s new ones, though with all the buying frenzy it quickly becomes hard to procure anything but the latest hardware and the economics of older generation hardware makes little sense for new data center deployment
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by
pama
2mo ago
The new ones will be though. Look up the specs for the NVIDIA Vera Rubin: no fans; recycled liquid cooling.
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by
pama
2mo ago
The paper suggests the opposite of your first statement. The benchmarks become useless because the successive models keep saturating them.
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by
pama
2mo ago
I agree these are central components, but to avoid oversimplification and the mistaken belief that modern LLMs do a lot of search during inference: If it was so simple, the traditional computer algebra systems would have reached similar bre
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by
pama
2mo ago
I wish we knew everything about how LLMs work! We only know very basic elements related to their construction and traning dynamics, and pretty much every major question we would like to address still has unknown or vague heuristic answers.
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by
pama
2mo ago
I agree boring problems exist; bounds may have a fare share of them. None of the bounds problems in this set are even close to this category; many of them are closer to the type of contributions that in the past got recognized by special aw
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by
pama
2mo ago
Use nvidia hardware instead and use a larger cluster serving many more users concurrently. Easily 10x–20x higher token rate per GPU with public solutions like dynamo and sglang.
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by
pama
2mo ago
Your inverted logic does not hold. The fact that such useless problems for bounds exist does not mean that improving bounds is useless. 9 fields medals in the last twenty years, including the one to Terrence Tao, were for improvements on bo
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by
pama
2mo ago
It is unfair to dismiss contributions to decades old open problems as equivalent to calculating more digits of pi. It missed the mark by a lot—as does the two bucket simplifaction.
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by
pama
2mo ago
> Whilst current models can't 'intuit' and come up with conjectures I disagree. I routinely let LLMs speculate or generate hypotheses along the way of helping with technical research. Sometimes they can prove the correctne
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by
pama
2mo ago
Not sure what your first sentence means, or why you are quoting AI. Many of these problems individually were math at a level approaching the highest possible for expert human mathematicians. These are not simple combinations of existing ide
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by
pama
2mo ago
It is much more subtle than your specific example, which is strictly speaking a bug, though ofc it has been used during pretraining for efficiency purposes. Sglang and miles have been working towards full determinism in open source codebase
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by
pama
2mo ago
Any US organization can rent compute.
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