linolevan

I’m very skeptical of these results. I run a pretty large group paper website on top of arXiv and we run pangram on papers. The numbers are not nearly this high.

One thing I see a lot is papers flagged as AI because they include llm rollouts in the paper as examples.

Neat optimization, I've never seen that before. Thanks for sharing.

Can we note that this is a 2024 paper in the title?

Pangram is legit. I don't work at pangram, we integrated it in our paper website and one of the cool emergent behaviors I've seen is that on AI papers with example rollouts, it will accurately mark the paper's main text as human generated and the rollouts as AI generated.

My understanding is that they strongly believe in no false positives, so it's definitely possible to slip something by them but if it marks something as AI, it very likely is.

What I really don't get is why more people don't talk about LMStudio, I switched to it months ago and it seems like a straight upgrade.

Hosted on Parasail + Google (both for free, as of now) themselves, probably would give those a shot

I’m surprised that people are surprised. Qwen has been hosting private plus and max variants for a while now.

Well written piece on an attack vector I'd never thought too hard about before. Thanks for elaborating on why sending an email or two to a random person helps an attacker achieve their goal. A lot of similar articles skip over details like that.

How much is OpenAI paying you for this

https://tangled.org/ <--- GitHub on ATProto

that's all I'm aware of

(edit) Oops, just saw that you mentioned it, confused by your first line then. Tangled is awesome!

John too:

https://bsky.app/profile/johndonmoyer.com/post/3mhbkepa7gs2v

Where on earth are you living with that kind of price point? Unreal.

Played around with the code to implement a little bit of SIMD. Was able to squeeze out a decent improvement, ~250 fps avg, ~140 low, ~333 high (on an m4). Looks pretty straightforward to do threading with as well. Cool stuff! Could work to bring more gpu stuff back down to the cpu.

Oops! Looks like we posted at the same time.

Does bonus usage count against my weekly usage limit?

No. The additional usage you get during off-peak hours doesn’t count toward any weekly usage limits on your plan.

Did… you copy paste this from another discussion? I’ve read this comment before.

According to the providers that I keep track of, Cumulus is typically pretty price competitive, except for MiniMax where DeepInfra and Together are much cheaper and GLM-5 where DeepInfra and z.AI's own hosting is much cheaper.

(Also technically qwen3 8b w/ novita being first place but barely)

Can we get context length / output length docs (looks like you mention "Max tokens (chat)" of 128k but it's unclear what that means)? Also it looks like your docs page is out of date from your playground page.

Also piece of feedback: it kind of sucks to have glm/minimax/kimi on separate api endpoints. I assume it's a game you play to get lower latency on routing for popular models but from a consumer perspective it's not great.

Looks like at least a second release, they had one other LLM before this.

This is awesome. Almost all of these are believable even if you're looking at pretty carefully. I need this on a firestick or something.

This is awesome. Got completely lost reading this and was struggling to figure out where I got this link from. Amazing story.

Yep, I recall one of the big components being libc i18n

There was this very interesting paper out of Stanford this last September about pretraining under the unlimited compute but limited data paradigm[0]. Pretty much exactly the same thing but with ~200M training tokens instead.

[0] https://www.alphaxiv.org/abs/2509.14786

Not understanding the difference between this and something like cargo audit[0]. I suppose it has something to do with "static analysis of vulnerabilities" but I don't see any of that from a quick google search of govulncheck.

[0]https://crates.io/crates/cargo-audit

Oops. A better link would have been https://eieio.games/blog/secure-massively-multiplayer-snake/.

Would recommend that folks start with the original post for context: https://blog.ptidej.net/ecs-survivors-part-i/

Thought this was AWS ECS – turns out it was much more interesting! I love entity component systems conceptually, glad to see data oriented design being discussed (even if it's not necessarily positive)

Why? Sharding on lower bits seems fine to me.

Dupe of https://news.ycombinator.com/item?id=47055723

Oh! Poem guy is back, hey!

I like seeing this analysis on new model releases, any chance you can aggregate your opinions in one place (instead of the hackernews comment sections for these model releases)?