Fully converted to the belief that vector embeddings are the answer to nearly every data and search problem — and not shy about evangelizing that view. Someone who is embedding pilled will steer every technical conversation toward semantic search, insist that keyword matching is obsolete, and get visibly excited about cosine similarity in inappropriate social contexts. It's said affectionately within ML circles about that one engineer who won't stop recommending you rewrite your search stack around embeddings.
He's completely embedding pilled — he wants us to vectorize our internal wiki, the customer emails, everything.
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Viral internet speak — memes, ratios, main-character moments, and the algospeak of every platform from Twitter to Reddit to TikTok comment sections.
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