Show HN: Interactive visualization of X's feed algorithm – ML in browser
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Re: Show HN: Interactive visualization of X's feed algorithm – ML in browser
#2How close do the in-browser embeddings actually get to what the real pipeline produces? Or is it more about showing the general flow than matching real outputs?
Re: Show HN: Interactive visualization of X's feed algorithm – ML in browser
#3Is the scoring model actually weighting engagement actions differently or is it treating likes/replies/reposts the same? The real algorithm weights those pretty aggressively differently
Re: Show HN: Interactive visualization of X's feed algorithm – ML in browser
#4Is the scoring model actually weighting engagement actions differently or is it treating likes/replies/reposts the same? The real algorithm weights those pretty aggressively differently
It's real embeddings (MiniLM, truncated to 128-dim), so the cosine similarities between tweets are genuine, but it's obviously not X's actual trained model. The relative distances are meaningful, though.
Re: Show HN: Interactive visualization of X's feed algorithm – ML in browser
#5How close do the in-browser embeddings actually get to what the real pipeline produces? Or is it more about showing the general flow than matching real outputs?
They're weighted differently. Currently it's set to: reposts 2.0x, replies 1.5x, bookmarks 1.2x, likes 1.0x, and clicks 0.5x. These are guestimates based on public info.