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Posted by nandakishor_ml 15 hours ago

I built non-autoregressive decision models with RL a year ago(laya.convaiinnovations.com)
1075 points | 259 commentspage 6
tarruda 11 hours ago|
At this size (~400 million parameters), does it become viable running directly on CPU?
rcarmo 11 hours ago|
Yep. Not instantly though. I am hacking away at these things over on https://github.com/rcarmo/go-pherence (I do SIMD versions of common inference algos) and trying to improve that.
badatnames 11 hours ago||
This is crying out to become an Excel or LibreOffice Calc add-in
einpoklum 7 hours ago||
Pangram believes this text was authored with an LLM:

https://www.salahadawi.com/hacker-news-ai-detector/49765348

verdverm 11 hours ago||
paper the reddit OP "published" (their words on reddit) to arxiv (before they put the vouching process in place). It's what you expect if you click through.

https://arxiv.org/pdf/2503.23303

Does not appear to be like what Jev is doing, they talk about RAG and embeddings and orchestrators (the stuff that was cool 1 year ago), no talk of system 1 vs 2 (before Jev), whereas Jev is apparently just a model.

There is a vLLM PR introducing Jev like capabilities for diffusion models (and more, have not delved deeply)

https://github.com/vllm-project/vllm/pull/57250

rasmus1610 10 hours ago||
I feel strong Schmidhuber vibes here.
innagadadavida 5 hours ago||
Jev is targeted to end users, and the tooling is really great. Unfortunately publishing papers without code or tooling or APIs will not attract the crowd as they want something usable quickly. That said, being second in this space is not the end of the world and the race is still on. If there is API access and proper tooling support like Jev, then it can win the game based on merit and not just marketing.
zamir_akimbekov 2 hours ago||
but now you got the attention. It is alright. Few remember Atanasof too.
jwpapi 10 hours ago||
Where can I subscribe to a hosted version of this? I don’t want to host my own GPU.
lukewarm707 7 hours ago|
thank you for your work
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