@0x3_dev
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Science background. AI foreground. probably broke prod again.
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Joined September 2020
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Hehe, so now they update the endpoint without updating the UI?
@wandb released DeepSeek-V4.1-Flash a while ago!
Don't know the pricing or Context, but I know its there (even though they didn't update the UI).
I beat the @wandb intern to it again!
Z.AI GLM 5.3 Flash is now live on serverless inference on WANDB. 1M Context, vision capable, 0.50$ per million output.
Its also very fast.
@CoreWeave
Sometimes your app needs a label, not a paragraph.
JEV is TypeSafe's model for that. Send it text or JSON plus questions; get back choices, scores and probabilities your code can use.
I'm not affiliated with TypeSafe or JEV.
ALT Abstract graphic featuring a dark, binary-coded sphere with an orange detail and the text "JEV Decisions, not prose."
Sometimes your app needs a label, not a paragraph.
JEV is TypeSafe's model for that. Send it text or JSON plus questions; get back choices, scores and probabilities your code can use.
I'm not affiliated with TypeSafe or JEV.
ALT Abstract graphic featuring a dark, binary-coded sphere with an orange detail and the text "JEV Decisions, not prose."
Think of a support ticket:
Choice: which team should handle it?
Score: how urgent is it on your defined scale?
Noul: does it ask for a refund?
Noul returns 0–1. A value of 0.91 means the model assigns a 91% probability to yes.
ALT A textured poster outlines three decision-making methods: Choice, Score, and Noul, each with brief descriptions and examples.
The useful part: one request can ask several independent questions about the same data, in parallel.
Your code decides what happens next.
Typed output isn't a guarantee of a correct answer.
Docs: docs.typesafe.ai/prim
itives
ALT Graphic illustrates parallel evaluation of software, highlighting multiple questions processed through a central system, JEV.
What happened to the @cursor_ai Origin?
I haven't heard anything since launch day. It was never even offered to free users like they promised!
I beat the @wandb intern to it again!
Z.AI GLM 5.3 Flash is now live on serverless inference on WANDB. 1M Context, vision capable, 0.50$ per million output.
Its also very fast.
@CoreWeave
Hey, I beat the @wandb intern to it: DeepSeek V4 is now live on serverless inference.
Let’s see what they cooked.
Whats the use of Luna reserve then if it basically cant do a read call? seriously what can it do then? @thsottiaux
It sounds weird, but I spent 12 hours messing around with Astra on day one and found it works best solo. Skip the orchestration and just let Astra handle everything. It’s faster and more token efficient.
If you really need to orchestrate, Fable should handle it and Astra should implement, not the other way around.
I ran a bunch of tests.
