daemonologist

3 ms·

1.
by daemonologist 8d ago
I don't know if there's an overall limit, but their regular tunnels have a limit of 100 MB per request which breaks stuff like Immich.
2.
by daemonologist 9d ago
I get the impression that Nvidia employees don't care too much - I started seeing fully AI-written "documentation" on some of their smaller projects more than a year ago (i.e., before it was even slightly a good idea).
3.
by daemonologist 11d ago
People definitely like teepees and yurts (and thatched roofs, dry stone walls, log cabins, etc.), it's just that at some point the practicality gap becomes too wide to contemplate. But this is a reasonable point to raise. Although both
4.
by daemonologist 11d ago
Agreed; not writing your own prose is lazy and disrespectful. If you expect/hope that humans will read something, you should demonstrate that it is important to you by spending your own time on it, and you should respect their time
5.
by daemonologist 12d ago
Yep, across a smaller fov too (100 degree horizontal).
6.
by daemonologist 12d ago
You could do it, but the resolution isn't high enough for it to be a good experience. (2160x2160 per eye sounds like a lot, but with a 110 degree fov it's only ~19 pixels per degree. Which is like sitting very close to a 27&quot
7.
by daemonologist 15d ago
Yeah, the blog post itself loads for me but everything else is really struggling.
8.
by daemonologist 19d ago
You're correct that it needs to run the full model to "verify" a token, but LLM inference benefits from batching - it's much faster to run twice in parallel than sequentially. So the draft model runs ~2-5 tokens ahead,
9.
by daemonologist 22d ago
Huh, it's true (well, technically the price was 100,000 hugging faces); good catch
10.
by daemonologist 22d ago
Model's not available to the public (or even to Simon, I guess) yet.
11.
by daemonologist 24d ago
and furthermore, this is because the drivetrain is ~always on the right side of the bike - if you want to inspect or admire a bicycle you look at the right side, as you might look under the hood of a car. (Why the drivetrain is on the right
12.
by daemonologist 29d ago
I doubt it - AWS hasn't added any non-western models since GLM 5 and MiniMax M2.5 in February, afaik. Might be a deal with OpenAI (GPT 5.4 was the first to be available via Bedrock, in April) or might just be that there isn't a l
13.
by daemonologist 29d ago
The no-Google-calendar-sharing-on-mobile is an absolute classic. I have personally seen multiple clumps of people huddled around a phone trying to figure out how to share a calendar with each other - fruitlessly until I butted in, becaus
14.
by daemonologist 1mo ago
Thanks, but I was interested more in the cross-app communication aspect rather than the data formats ( https://codeberg.org/comaps/comaps/wiki/Content-Provider ). I once looked into building an app which pigg
15.
by daemonologist 1mo ago
Neat, I was not aware of this mechanism. Is there any way to get map (tile) data from CoMaps into another app?
16.
by daemonologist 1mo ago
You could probably score 100% on ARC 3 if you were motivated enough. I find some of the current problems to be kind of like Chess - mechanically simple, and ~solvable, but it's difficult to force myself to think at length about a mono
17.
by daemonologist 2mo ago
The Glacial National Park referenced by GP is in Montana; you were perhaps at Glacier Bay National Park. Regardless, some beautiful photos, thanks for sharing
18.
by daemonologist 2mo ago
Bedrock seems to have stopped adding new open-weights models, and mostly only has Anthropic and OpenAI stuff now. You can get Qwen 3.8 directly from Alibaba: https://www.qwencloud.com (proprietary variant) or from DigitalOcean
19.
by daemonologist 2mo ago
On the first point, I think it's a search of boat names , not boats - they're deduplicated.
20.
by daemonologist 2mo ago
Also (mentioned by Tom), this elastic-powered supersonic trebuchet is an excellent video: https://www.youtube.com/watch?v=gdXOS-B0Bus
21.
by daemonologist 2mo ago
Most phones won't boot without the battery. Obvious workaround is to connect a power supply (and large cap) directly to the BMS, but in my experience most phones will shut themselves down when they think they've drawn more than t
22.
by daemonologist 2mo ago
I don't think it's been shrunk, I think there just aren't enough high karma posts to fill the default (filtered) page. Old posts fall off due to karma decay and low quality posts get flagged or hidden by mods. I've see
23.
by daemonologist 2mo ago
It's here as well: https://api-docs.deepseek.com/quick_start/pricing/
24.
by daemonologist 2mo ago
With an unlimited budget, Kimi K3 (which is quite comparable to this Qwen Max imo). With a normal budget/a PC you might already have, probably Qwen 3.6 27B.
25.
by daemonologist 2mo ago
Going from 5.5 Instant (which was noticeably bad) to 5.6 Luna is a big jump as well. OpenAI is probably the most prominent among the general public - an advantage in some respects but they're giving away a lot of free inference and
26.
by daemonologist 2mo ago
Pricing: https://dev.meta.ai/docs/pricing-rate-limits Interesting that they have separate API pricing for "we can train on your data" (whereas iirc most of the big players either make that distinction only be
27.
by daemonologist 2mo ago
Service area: https://support.google.com/waymo/answer/9059119?hl=en#DAL
28.
by daemonologist 2mo ago
The linked qwencloud page has pricing; it's $2/6. https://www.qwencloud.com/models/qwen3.8-max
29.
by daemonologist 2mo ago
It seems to only be available in Kimi Code, via subscription, no there's no API pricing. The linked page says it consumes about half as much quota as the 1M version though.
30.
by daemonologist 2mo ago
Btw if you do need a permissively licensed model for this task, there are lots out there, e.g.: https://github.com/KupynOrest/s3od https://github.com/Tennine2077/PDFNet https://github.c

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