Thanks! You mean to be able to search for movies that occurred in a specific set of locations? That's a really cool idea, I hadn't thought about it. The data is there already; it's just not searchable in that way. I might give it a go next week. I need to think of a nice UX for it.
Thanks a lot for the usability feedback! I'm trying to improve it based on this and a few other early comments.
Regarding your question, one limitation I'm aware of is that my data consists mainly of movies _made as historical movies_, not movies that just happen to be set in the contemporary period of when the movie came out. Unfortunately there doesn't seem to be an easy way to identify this latter type of movies based only on wikipedia metadata/categories; so the only way I can think of would be to process _all_ movies on wikipedia and infer whether they are in a contemporary setting... but that's prohibitively expensive. I'll think about it more.
Thanks a lot for the feedback, this is what I was hoping to get. After working on something for too long the UX becomes so obvious that it's hard to imagine it from the perspective of someone seeing it for the first time. I'll work on the onboarding. And try to find some history subreddits where I can share this. Thanks for the encouragement!
I do it sometimes (even just through the openai playground on platform.openai.com) because the experience is incredible, but it's expensive. One hour of chatting costs around 20-30$.
What's funny/interesting from a psychological perspective is that several of these made me click (and discover genuinely interesting content) on links that I ignored in the real version. Could you do this everyday please?
I wonder why the focus on replaying UI interactions, rather than just skipping one step ahead to the underlying network/API calls? I've been playing around with similar ideas a lot recently, and I indeed started out in a similar approach as what is described in the article - but then I realized that you can get much more robust (and faster-executing) automation scripts by having the agents figure out the exact network calls to replay, rather than clicking around in a headless browser.
You use sideloadly to install any ipa you want.
If you don't have a developer account it will sign the application using a key with the validity of seven whole days! (instead if you have a developer account it will be valid one year, and don't forget to pay the 99€/year ransom)
The data might be the limiting factor of current transformer architectures, but there's no reason to believe it's a general limiting factor of any language model (e.g. humans brains are "trained" on orders of magnitude less data and still generally perform better than any model available today)
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