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Cake day: June 20th, 2023

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  • This kind of work I find very important when talking about AI adoption.

    I’ve been generating (the boring) parts of work documents via AI, and even though I put a lot of thought into my prompts and I reviewed and adjusted the output each time, I kept wondering constantly if people would notice the AI parts, and if that made me look either more efficient and ‘complete’ (we are talking about some template document where some parts seem to be designed to be repetitive), or lazy and disrespectful. Because it’s for sure that my own trust in content and a person drops when I notice auto-generated parts, which triggers that I use AI in turn, and I ask it to summarise all that verbose AI generated content. I’m not sure that’s how decoder-encoders are meant to work :)















  • Maybe to add, after having read some of the linked comments, that the survey is cool and all but that’s it. It triggers people to explain their process of how they tried to spot things (as good experiment participants should), but I have only seen one comment on the purpose and methodology (as a researcher would). For whatever interesting research question, the data selection doesn’t allow for insightful answers. We can interpret these results as we want, and as we can see, people are already taking what they want from it. Sincerely, Reviewer 2