
@elonmusk An alternative approach:
1. Find as many data points with a statistical correlation to scrapers as possible.
2. Combine them all using Bayes to get a single "odds of being a scraper" output.
3. Progressively lower the rate limit based on the odds.
Most users won't even notice.
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