Very useful - I've had bugs due to incorrect strings entering enum like values the database and I imagine using db-checked enums like this would have saved me some huge headaches
Great points. Really makes me question why so many developers were excited / worried about programming jobs being automated away by this technology. I really doubt that many jobs are going to be displaced by what is at best an improvement to autocomplete/intellisense and at worst an unreliable, copyright infringing boilerplate generator. Also agree with point #3 - I could see Copilot steering devs away from new code patterns toward whatever was most commonly seen in the existing codebases it was trained on. Doesn't seem good for innovation in that sense.
I totally agree about the YouTube advertising. YouTube literally has hundreds of hours of my video history to work with, yet the vast majority of the ads I see are completely unrelated to my interests. What's the point of all the tracking if they can't even show me relevant ads on YouTube of all places? Podcast ads tend to be much more relevant, and I can even recall purchases I've made due to them. AFAIK my podcast player isn't tracking me or using targeted ads.
I don't have much experience with python profiling, but this looks like a really easy way to get granular performance metrics. I could see this being quite useful in longer functions with multiple performance sensitive parts. I'll make sure to keep this profiling technique in mind next time I have to write Python.
What is NASA hoping to learn from this drone that they couldn't get from the rover? Is the point just to test if this type of flight is possible on Mars, or is the rover collecting some extra observations?