If you don't know these things on some level already the post doesn't give you too much (far from 95%), it's a brief reference of some of the formulas used in machine learning/AI.
A lot of LLM chat models have a very particular voice and style they use by default, especially in these longer form "Sure, I can help you write a blog article about X!" type responses. Some pieces of writing just scream "ChatGPT wrote this", even if they don't include em-dashes, hah!
Kace's response is absolutely right that the summaries tend to be a place where there is a big giveaway.
There is also something about the way they use "you" and the article itself... E.g. the "you now have a comprehensive resource to understand and apply ML math. Point anyone asking about core ML math here..." bit. This isn't something you would really expect to read in a human written article. It's a ChatBot presenting it's work to "you", the single user it's conversing with, not an author addressing their readers. Even if you ask the bot to write you an article for a blog, a lot of times it's response tends to mix in these chatty bits that address the user or directly references to the users questions / prompts in some way, which can be really jarring when transferred to a different medium w/o some editing
> With theoretical explanations, practical implementations, and visualizations, you now have a comprehensive resource to understand and apply ML math. Point anyone asking about core ML math here—they’ll learn 95% of what they need in one place!
- bold-face item headers (eg “Practical Significance:”)
- lists of complex descriptors non-technical parts of the writing (“ With theoretical explanations, practical implementations, and visualizations”)
- the cheery, optimistic note that underlines a goal plausibly derived from a prompt. (eg “ Let’s dive into the equations that power this fascinating field!”)
What makes me angry about LLM slop is imagining how this looks to a student learning this stuff. Putting a post like this on your personal blog is implicitly saying: as long as you know some some "equations" and remember the keywords, a language model can do the rest of the thinking for you! It's encouraging people to forgo learning.