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    River API is pitched as a way to make open-weight models beat GPT-6 Astra and Claude Opus 5.5 on chosen tasks

    A post promoting the API claims that approach would cost less than 1% as much as the named models.

    Igor BabuschkinIB
    Eric ZelikmanEZ
    Jeff HuberJH
    3 Sources, ,

    TLDR

    A post promoting River API says users can fine-tune open-weight models to outperform GPT-6 Astra and Claude Opus 5.5 on tasks they care about for less than 1% of the cost. The author predicts most LLM usage worldwide will run on customized open-weight models within a few years.

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    3 Sources, first seen 3h ago

    Combined views

    10.7K

    3 Sources, first seen 3h ago

    141 likes
    3h ago
    first seen 3h ago
    141 likes
    6 comments
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    3 Sources

    Igor Babuschkin@ibabWe show how you can use the River API to fine-tune open weight models to beat GPT-6 Astra and Claude Opus 5.5 on tasks you care about, with less than 1% of the cost! A few years from now most of the LLM usage in the world will run on customized open weight models. Building your own custom models is getting easier and more affordable. Our mission is to help everyone own their own intelligence and be independent of big AI labs.3h
    Eric Zelikman@ericzelikmanVery cool work!1h
    Jeff Huber@jeffreyhuber@ibab make task -> SDG easy! thats the bottleneck...41m

    3 Sources

    Igor Babuschkin@ibabWe show how you can use the River API to fine-tune open weight models to beat GPT-6 Astra and Claude Opus 5.5 on tasks you care about, with less than 1% of the cost! A few years from now most of the LLM usage in the world will run on customized open weight models. Building your own custom models is getting easier and more affordable. Our mission is to help everyone own their own intelligence and be independent of big AI labs.3h
    Eric Zelikman@ericzelikmanVery cool work!1h
    Jeff Huber@jeffreyhuber@ibab make task -> SDG easy! thats the bottleneck...41m