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vivzkestrel 2 days ago [-]
- i really want to brainstorm this one with the people here on HN
- i am trying to do something along these lines
- What I am looking for is "informationally dense" articles across a blog
- For example, a person writing "Ai is going to do this" and "how I felt at my company when they adopted AI" are pure opinions.
- ON the other hand, a post like "here are 10 ways to loop a directory in bash" is informationally dense
- What sort of techniques / algorithms do you think I could use to narrow it down. I can think of removing stop words from the post, counting the ratio of remaining words to total words (not sure if that means anything), n gram analysis maybe but I am really not an expert at this
- Perhaps someone at HN can shed some light on how to go about identify "information rich" articles on a blog
- Do you think LLMs would do a good job if we were to loop through every post on a blog and ask LLMs to pick non opinion ones
soupfordummies 2 days ago [-]
I do something similar with articles I don't want to actually read instead of dumping into the abyss of my bookmarks.
My workflow is a little simpler I just print to PDF and try to keep it in multiples of 4. Then Adobe Reader has a nice Booklet print setting that allows you to print pamphlets of 4 PDF pages per single printer paper leaf. After you print just fold in half.
biscuits1 2 days ago [-]
Probably cheaper to set up and print a proof from KDP per blog. Would have to do the math on this, mainly the basic formatting is the labor (or automating it with AI now, not too bad). Proofs do not require a review per-say, but likely falls outside the user agreement since you dont own the content.
Access to kdp and time to do this varies.
biscuits1 2 days ago [-]
And if you do a good enough job, contact the blog's author. Maybe they would see the intrinsic value, but mainly question how weird it is to receive such an offer.
dSebastien 2 days ago [-]
I printed blog posts for 15 years. I used to print everything I wanted to read during my train commutes. I learned so much that way :)
galleywest200 2 days ago [-]
I do something similar with longer posts I want to read by doing File > Print > Save As PDF and then uploading that PDF to my eInk device.
- i am trying to do something along these lines
- What I am looking for is "informationally dense" articles across a blog
- For example, a person writing "Ai is going to do this" and "how I felt at my company when they adopted AI" are pure opinions.
- ON the other hand, a post like "here are 10 ways to loop a directory in bash" is informationally dense
- What sort of techniques / algorithms do you think I could use to narrow it down. I can think of removing stop words from the post, counting the ratio of remaining words to total words (not sure if that means anything), n gram analysis maybe but I am really not an expert at this
- Perhaps someone at HN can shed some light on how to go about identify "information rich" articles on a blog
- Do you think LLMs would do a good job if we were to loop through every post on a blog and ask LLMs to pick non opinion ones
My workflow is a little simpler I just print to PDF and try to keep it in multiples of 4. Then Adobe Reader has a nice Booklet print setting that allows you to print pamphlets of 4 PDF pages per single printer paper leaf. After you print just fold in half.
Access to kdp and time to do this varies.