TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14
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TabPFN and TabICL vs. tuned XGBoost: the model that doesn't train won 14/14
Unofficial Hacker News client; not affiliated with Y Combinator.
bronlund · · focus · HN ↗
Edit: I got downvoted, and it was most likely by the AI slop instigator himself. Imagine being so proud of your slop, that you take it personally when someone critiques it :D
Now I am curious as to how much of his blog is exactly like this.
Edit 2: All of it, it seems. Like; that article about Intern-Decision the 26. September 2026. The author installed it, fixed three failures, tested it on 27,256 days of weather, and published the write-up that same day as it was released.
And then manage to get cranky when someone points it out :D
Edit 3: Misunderstand me correctly. I'm all in AI, and I produce my fair share of AI slop as well, but it is almost exclusively for internal use and I can't imagine treating it as premium content. And if I felt the need to publish any of it, I would ensure that it was clearly marked; AI generated.