The Tech Industry Can’t Agree on what Open-source AI Means. That’s a Problem.

Addressing vulnerability and promoting security
Apr 05, 2024 | MIT Technology Review

Suddenly, “open source” is the latestbuzzword in AI circles. Meta has pledged to create open-source artificialgeneral intelligence, and Elon Musk is suing OpenAI over its lack ofopen-source AI models. Meanwhile, a growing number of tech leaders andcompanies are setting themselves up as open-source champions. But Edd Gentnotes in his article for the MIT Technology Review that afundamental problem exists – no one can agree on what “open-source AI”means. On the face of it, open-source AI promises a future where anyonecan take part in the technology’s development. That could accelerate innovation,boost transparency, and give users greater control over systems that could soonreshape many aspects of life. But what makes an AI model open source, and whatdisqualifies it? If the open-source community can’tsettle on a definition, someone else will come up with one that suits theirneeds.

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