Previous posts: https://programming.dev/post/3974121 and https://programming.dev/post/3974080
Original survey link: https://forms.gle/7Bu3Tyi5fufmY8Vc8
Thanks for all the answers, here are the results for the survey in case you were wondering how you did!
Edit: People working in CS or a related field have a 9.59 avg score while the people that aren’t have a 9.61 avg.
People that have used AI image generators before got a 9.70 avg, while people that haven’t have a 9.39 avg score.
Edit 2: The data has slightly changed! Over 1,000 people have submitted results since posting this image, check the dataset to see live results. Be aware that many people saw the image and comments before submitting, so they've gotten spoiled on some results, which may be leading to a higher average recently: https://docs.google.com/spreadsheets/d/1MkuZG2MiGj-77PGkuCAM3Btb1_Lb4TFEx8tTZKiOoYI
With the direction you are forcing this conversation, away from practical examples and our current reality, the two of us are operating purely off hypotheticals. With that in mind, you could completely skip reading the rest of this comment and it won't impact your life in any way, shape, or form.
If you think about it, the changes in the models working off data from the internet would actually make the unchanging defensive model (and to be clear it's wrong to think that the AI based Defensive model would be static either) would make the defensive model more accurate over time because the less than 99% accurate generating models would eventually feed back into themselves dropping efficiency over time. This is especially true when models are allowed to learn and grow off of user prompts because users are likely to resubmit the results or make generative API Requests in repeating sequence to make shifting visuals for use in things like song visualisers or short video clips.