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Dana Polojärvi's avatar

Thanks for this interesting post. As always you give us lots to think about.

I was most struck by this comment at the end: "But it is just as clear to me that humans are not going to be replaced by Code Interpreter. Instead, the AI does what we always hope automation will do - free us from the most annoying, repetitive parts of our job so we can focus on the good stuff. By simplifying the process of analysis, I can do more and deeper and more satisfying work. My time becomes more valuable, not less, as I can concentrate on what is important, rather than the rote. Code Interpreter represents the clearest positive vision so far of what AIs can mean for work: disruption, yes, but disruption that leads to better, more meaningful work. I think it is important for all of us to think about how we can take this same approach to other jobs that will be impacted by AI."

Given that you seem quite impressed by the software in this (its most basic) level, and knowing that the goal of OpenAI is to create a meta-human intelligence with tools like ChatGPT and Code Interpreter as the means to that end, why are you assuming the AI will not replace the more meaningful work as well?

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Doug Barton's avatar

Ethan, thanks for the encouragement and cautions. You have been an inspiration to our work in the UW-Madison community and my work with our industry consortium members. As a policy, I suspect it remains a valid concern about sharing non-public information with chatgpt and chatgpt-plus. I understand that one can “switch off training in ChatGPT settings (under Data Controls) to turn off training for any conversations created while training is disabled” but worry about uploading data sets that would otherwise be private or sensitive. How should we think about using these new tools for data manipulation in light of the concern for privacy or IP? (Source on OpenAI policy https://help.openai.com/en/articles/5722486-how-your-data-is-used-to-improve-model-performance)

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