Comment on Oracle made a $300 billion bet on OpenAI. It's paying the price.

• TheGrandNagus@lemmy.world ⁨2⁩ ⁨days⁩ ago

  Unless the dataset, weighting, and every aspect is open source, it’s not truly open source, as the OSI defines it.

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  • Buffalox@lemmy.world ⁨2⁩ ⁨days⁩ ago

    Bullshit, the dataset is massive, and a dataset may include bias. You would always want to use a dataset that fir your needs.

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    • wholookshere@piefed.blahaj.zone ⁨2⁩ ⁨days⁩ ago

      no,

      your changing the definition of open source software. which has been around a lot longer than AI has.

      source code is what defines open source.

      what deepseek has is open weights. they publish the results of their learning only. not the source that produced it.

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      • Jrockwar@feddit.uk ⁨2⁩ ⁨days⁩ ago

        Still debatable, the weights are the code. That’s a bit like saying “X software is not open source because it has equations but it doesn’t include the proofs that they’re derived from”.

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      • Buffalox@lemmy.world ⁨2⁩ ⁨days⁩ ago

        your changing the definition of open source software.

        techwireasia.com/…/china-open-source-ai-models-gl…

        The tide has turned. With the December 2024 launch of DeepSeek’s free-for-all V3 large language model (LLM) and the January 2025 release of DeepSeek’s R1 (the AI reasoning model that rivals the capabilities of OpenAI’s O1), the open-source movement started by Chinese firms has sent shockwaves through Silicon Valley and Wall Street.

        I’ve read similar claims in other articles, I have no idea why they would call it open source if it’s not?

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• breadguy@kbin.earth ⁨2⁩ ⁨days⁩ ago

  same with qwen, ernie, minimax, and kimi

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• CosmoNova@lemmy.world ⁨1⁩ ⁨day⁩ ago

  It‘s open weights but definitely not

  truly open source

  Feel free to blame the technology as a whole but open source doesn‘t make exceptions for AI models.

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