How Good ML Blogs Are Structured Post AI-Mushiness (According to People Who Avoid Medium)
You know exactly the kind of post I’m talking about. The title promises "Master Transformers in 5 Minutes." The content is a stock photo of a robot shaking hands with a human, three paragraphs of generic history about AI that reads like it was scraped from a 2018 Wikipedia entry, and a "Conclusion" that says "AI is the future." It’s the "Medium Special." And for serious developers, students, and engineers in 2025, it is the digital equivalent of a wet sock. Readers are tired. They are tired of paywalls blocking mediocre content. They are tired of "tutorials" that are just glorified ads for a SaaS tool. They are tired of 2,000-word introductions to concepts they already know, just to reach one paragraph of actual implementation. The best technical blogs right now are the ones that get bookmarked, shared in Slack channels, and cited in papers, look nothing like the content farms of the early 2020s. They are raw, opinionated, messy, ...
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