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Researcher claims Jev architecture predates frontier lab's 'breakthrough'

A Reddit user claims to have developed the Jev architecture, which predicts probabilities and uses JSON schemas, a year prior to its recent popularization by a frontier lab. The user states they open-sourced their model, dataset, and a paper on arXiv in March 2025, but received little attention. They express frustration that a similar concept is now being presented as a breakthrough by a major lab without open-source contributions, highlighting the challenges faced by independent researchers in the open-source AI community. AI

IMPACT Highlights the challenges and potential lack of recognition for open-source AI research compared to proprietary developments.

RANK_REASON User commentary on a perceived lack of recognition for open-source contributions compared to frontier lab announcements.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Researcher claims Jev architecture predates frontier lab's 'breakthrough'

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0 / 100
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Commentary
User commentary on a perceived lack of recognition for open-source contributions compared to frontier lab announcements.
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2 independent sources
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other
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High
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10 days old
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COVERAGE [2]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Nandakishor_ml ·

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

    <!-- SC_OFF --><div class="md"><p>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 huggingf…

  2. r/LocalLLaMA TIER_1 English(EN) · /u/Nandakishor_ml ·

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

    <!-- SC_OFF --><div class="md"><p>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 huggingf…