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The host website seems extremely interesting in general. Anyone here used it before?
by vovavili 4mo ago
The host website seems extremely interesting in general. Anyone here used it before?
- f3408fh 4mo agoThe design is similar to what Claude generates. Makes me skeptical that all the content is AI-generated.
- vovavili 4mo agoThis looks better than 90% of websites I visited. The palette is pleasant, content has the right density and spacing is very relaxed. If this is AI-generated without some clever prompt tuning, frontend as a profession is done.
- f3408fh 4mo agoI am 95% sure Claude came up with the design. It has all the tell-tale signs like the all-caps bold letter-spaced microcopy (See the orange "Sharpen your AI fundamentals" on the landing page.) Many card-like elements with a colored border on one side only. The italic serif font as subtitle. Etc. That being said I'm not judging. It's competently done. I also put the content of a workshop into an LLM detector and it said 100% of the text was likely AI generated. I'd just like the author to disclose how much of the content is entirely LLM-generated.
- CamperBob2 4mo agoIt's surprising to say people complimenting the color palette on this site. It's almost unreadable on my (very nice) monitor but clearly it works for many readers.
- panarky 4mo agoMost people here seem to think the content is high quality. Do you disagree?
- f3408fh 4mo agoUhhh apart from OP I don’t see anyone commenting on the content quality? Also OP didn’t even praise the content. They said it “seems interesting.”
- blharr 4mo agoI think the methodology is interesting, but you can probably design a similar, and probably better loop for "diving" into a topic and going through examples than is presented. I have to imagine they just asked Claude to dive into a topic and generate example problems along the way. As for the content... a lot feels like knowledge overload and concepts are introduced without explanation or "why". It basically says "here is a training loop" and never answers my immediate question of "...for what?" It also introduces random concepts like setting the seed that don't look like they're even in the final training loop it provides. As a comparison, Pytorch itself has docs that go over the entire training loop as well. And it explains why you're loading the data its loading. With examples that run instead of being scattered on.