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.
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.
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.
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 Also it looks like your docs page is out of date from your playground page.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.