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While the core arguments stand, there's little actual nutrients in the article.
I spend hours per day with codex and claude. Almost every LLM is using each other's training data. There's a ton of AI slop out there already now feeding into training data. They all sound the same.
You are right! My honest take, The customer who did X wasnt Y, it was Z.
In early 2025, this was novelty, now it's annoying.
Will definitely now AI check for slop better before even posting. But was curious how automated and cheap I could make it. Isn't turning out that well yet. Also I put up a PR to remove silconopera from Kagi Small Web. Because it breaks multiple of their guidelines: multi-author, all fake authors, and all LLM content at non-human scale.
Earlier quoted context omitted.
Looking at the markets, either we all get turned into paperclips soon, or what goes up finally does the inevitable.
Even if the bubble pops, the spambots will be here for the rest of our lives. Indeed the inference will only get cheaper as hardware prices plummet and get repurposed by third parties running DeepSeek etc. Just like the dotcom burst didn't wipe out the internet, only the people who lost touch with reality.