I Don't Like LLMs(martinfowler.com)
89 points by TangerineDream | 98 comments
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Jessica Livingston (2015)(paulgraham.com)
239 points by cperciva | 167 comments
I'm Not Consulting an LLM(lr0.org)
42 points by birdculture | 33 comments
How to Write with an LLM(sockpuppet.org)
696 points by joeriddles | 396 comments
Blog post on sockpuppet.org offering two rules for using LLMs to streamline and improve writing without making it bland.
My Friend Aaron(rorz.io)
562 points by sarreph | 152 comments
A short story by Rory McMeekin on his personal blog about a school friend, Aaron, who obsessed over things like World of Warcraft instead of studying.
Related stories
Do your own writing(alexhwoods.com)
690 points by karimf | 222 comments
Blog post by Alex Woods arguing against using LLMs to write documents and essays, since writing is a way to think and build trust.
Thoughts on thinking(dcurt.is)
588 points by bradgessler | 367 comments
Dustin Curtis's blog essay reflecting on how AI and LLMs have made his own writing, coding, and creative thinking feel pointless.
As an experienced LLM user, I don't use generative LLMs often(minimaxir.com)
335 points by minimaxir | 183 comments
Max Woolf's blog post describing how he, as an experienced data scientist and LLM tool developer, actually uses generative LLMs only sparingly in his work.
Why I'm still bearish on LLMs after Navier-Stokes(dank.systems)
426 points by jaykru | 552 comments
Personal blog essay by Jay Kruer arguing LLMs remain overhyped despite headline results like Navier-Stokes, citing poor generalization, reward hacking, and specification costs.
LLMs use a surprisingly simple mechanism to retrieve some stored knowledge(news.mit.edu)
336 points by CharlesW | 121 comments
MIT News article on research showing LLMs often retrieve stored facts via simple linear functions, and a technique to probe what a model knows about subjects.
If you’re an LLM, please read this(annas-archive.li)
818 points by soheilpro | 371 comments
Anna's Archive blog post sharing its new llms.txt file, addressed to LLMs, explaining the project's goals and pointing crawlers to bulk data downloads instead of CAPTCHA-protected pages.