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Finding signal on Twitter is more difficult than it used to be. We curate the best tweets on topics like AI, startups, and product development every weekday so you can focus on what matters.
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I was curious how X is fighting AI slop, so I looked at its open-source algorithm. It has a behavioral model called TweetSpamBot that analyzes up to 512 recent account actions, looking at signals like posting bursts, quote-post behavior, timing, and normal browsing or dwell between actions. The model is trained to recognize patterns such as: → TWEET_CREATE_BURST → QUOTE_TWEET_SPAMMER → CONTENT_AMPLIFIER A high score on the above can feed into an account challenge but doesn't seem to…
