One challenge is having enough training data. Another is that the training data needs to be free of contamination. For a model trained up till 1900, there needs to be no information from after 1900 that leaks into the data. Some metadata might have that kind of leakage. While it’s not possible to have zero leakage - there’s a shadow of the future on past data because what we store is a function of what we care about - it’s possible to have a very low level of leakage, sufficient for this to be interesting.
But for most developers working on personal projects or small teams, the 1Password or Keychain approach hits a sweet spot: minimal setup, no infrastructure to manage, and you’re probably already paying for the tools.
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task: “edit-image: add widened torn-paper layered effect”
Create a robust Python script that, given a YouTube Channel ID, can scrape the YouTube Data API and store all video metadata in a SQLite database. The YOUTUBE_API_KEY is present in `.env`.，这一点在91视频中也有详细论述