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Yup. I’m not expert so maybe I’m completely off base, but if I were OpenAI or Anthropic I’d likely just hire 1000 highly skilled engineers across multiple disciplines, tell them to build something in their domain of expertise, then critique the model’s output, iteratively work on guardrails for a month or two until the model one-shots the problem, and package that into the new release.
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That's exactly what they are doing via dataannotation.tech and other services.
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Any comments on how the copyright issues are handled in corporate settings? I mean both in terms of staying clear of lawsuit+ ensuring what we produce remains safe from copying
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