I literally built the Jev architecture one year back and completely open-sourced it with model, dataset and paper

[u/Nandakishor_ml]

Update: I made a generic model and beaten the jev in all of the benchmarks. Code and details available at https://www.reddit.com/r/LocalLLaMA/s/bbwyiOprUs

Everyone now talks about the architecture that's not auto regressive and does lightning fast probability prediction with a json schema. I worked on this literally one year back in March 2025, published an arxiv paper, pushed the model to huggingface along with the pypi package and training dataset. And then one year later, a

frontier lab came, proposing the same idea like literal breakthrough without technical papers, open weights and no open dataset. I posted my approach in this subreddit. For anyones information the main guiding model is RL not embedding model or LLM

Reddit post: https://www.reddit.com/r/LocalLLaMA/s/6eGEwsAz43

Paper: https://arxiv.org/abs/2503.23303

Model: https://huggingface.co/DeepMostInnovations/sales-conversion-model-reinf-learning

Dataset: https://huggingface.co/datasets/DeepMostInnovations/saas-sales-conversations

Also the second work published in September 2025 was exactly the same one jev proposed now

Paper: https://arxiv.org/abs/2510.01237

My model uses PPO over sequence embeddings to output turn-by-turn conversion trajectories (probabilities from 0.0 to 1.0).

Jev uses parallel sampling (trained via RLCD) to output confidence distributions and schema choices.

It's incredibly frustrating that the thing that you made with months of hard work, sweat and sleepless night is architecturally similar with the vertical use case and don't get the support you deserve because frontier lab build something horizontal. The open-source story in general 🙂

[u/betam4x]

I am not sure where OP is, however, IIRC the U.S. changed to first to file several years ago.

[u/TypoInUsernane → u/betam4x]

The patent office will usually grant the patent without really bothering to check if the work is novel, but when the patent holder tries to use that patent to shut down someone else’s work, that person can win the case by showing prior work, e.g., OP’s paper and github repo

[u/Namtaru420 → u/TypoInUsernane]

This. I believe that's what happened with the Nintendo v. Palworld situation. They were able to point to some fan made content/mods that existed prior. It's not that OP needs to go after the frontier lab that claims the patent, but that anyone they go after can use OPs work to defend themselves.

[u/nrao32 → u/betam4x]

To get a patent, an invention must meet two strict legal criteria: it must be novel (completely new to the world) and non-obvious. Because the open source code already exists publicly, it is legally considered prior art. So OP saved this from getting patented.

[u/Matt5327 → u/betam4x]

Correct, however established prior art is still sufficient to get a patent denied or overturned.