4 ms·

Fortunately MNIST is a pretty distinctive Google search term. At most you would need to search for (MNIST machine learning).

hinkley 3y ago
Are you running google searches on https://news.ycombinator.com/news https://news.ycombinator.com/news before clicking on stuff? Or expecting an executive summary. I think you can guess which one I’m doing. And which one I believe is normal human behavior.
- itishappy 3y ago
  No need to guess, you requested a summary: > you’ve missed the most important hyperlink: what the fuck is a MNIST?
  - hinkley 3y ago
    Two questions and you answered the more rhetorical one. Is that a no? Anyway my main beef isn’t with this GitHub repo or the author, it’s that nobody remembers how to write a goddamned overview anymore. The point of tree structured data is making it cheap to backtrack when doing a semi random search. The overview is an important part of making hypertext work, particularly when it feeds through catch-all lists like a news site or a landing page for a wiki. When a hyperlink is organically embedded into a paragraph, you can usually guess what it’s for, from the sentence and the context. When it’s just a title that is lost.
- telotortium 3y ago
  No, but if the article headline interested me enough to click into the article, I would Google MNIST if I didn't know it already (ML is full of acronyms for datasets, methods, etc. - can't expect blog posts to define all of them. If it were a paper that didn't define the term, I would be annoyed.) Also, just because an acronym isn't used doesn't mean you'll understand the jargon. For example, also on the front page is a paper titled "Neurons in Large Language Models: Dead, N-Gram, Positional". No acronyms, but I would certainly need to Google (or actually read the paper, not just the abstract) to know what the 3 terms at the end means (well, I do know what a dead neuron is, but not the other two).

hinkley 3y ago

Are you running google searches on https://news.ycombinator.com/news https://news.ycombinator.com/news before clicking on stuff? Or expecting an executive summary. I think you can guess which one I’m doing. And which one I believe is normal human behavior.

itishappy 3y ago
No need to guess, you requested a summary: > you’ve missed the most important hyperlink: what the fuck is a MNIST?
- hinkley 3y ago
  Two questions and you answered the more rhetorical one. Is that a no? Anyway my main beef isn’t with this GitHub repo or the author, it’s that nobody remembers how to write a goddamned overview anymore. The point of tree structured data is making it cheap to backtrack when doing a semi random search. The overview is an important part of making hypertext work, particularly when it feeds through catch-all lists like a news site or a landing page for a wiki. When a hyperlink is organically embedded into a paragraph, you can usually guess what it’s for, from the sentence and the context. When it’s just a title that is lost.
telotortium 3y ago
No, but if the article headline interested me enough to click into the article, I would Google MNIST if I didn't know it already (ML is full of acronyms for datasets, methods, etc. - can't expect blog posts to define all of them. If it were a paper that didn't define the term, I would be annoyed.) Also, just because an acronym isn't used doesn't mean you'll understand the jargon. For example, also on the front page is a paper titled "Neurons in Large Language Models: Dead, N-Gram, Positional". No acronyms, but I would certainly need to Google (or actually read the paper, not just the abstract) to know what the 3 terms at the end means (well, I do know what a dead neuron is, but not the other two).