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Can LLMs write better code if you keep asking them to “write better code”?(minimaxir.com)
710 points by rcarmo | 411 comments
Max Woolf's blog post experimenting with whether repeatedly prompting an LLM to "write better code" actually improves the code it generates.
LLM-powered tools amplify developer capabilities rather than replacing them(matthewsinclair.com)
323 points by matthewsinclair | 214 comments
Blog post by Matthew Sinclair arguing that LLM-powered programming tools act like a mech suit amplifying developers rather than replacing them.
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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.
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.
LLMs are eroding my software engineering career and I don't know what to do(human-in-the-loop.bearblog.dev)
1029 points by poisonfountain | 967 comments
A personal blog post by a software engineer with 10 years of experience reflecting on how LLMs are eroding their career and their uncertainty about what to do.
Why your local LLM feels dumber than it is(forum.level1techs.com)
417 points by felineflock | 171 comments
A Level1Techs forum post presenting technical experiments on how quantization and implementation differences make locally run LLMs perform worse than reference versions.
How I use LLMs to learn complex topics(laurentiugabriel.github.io)
763 points by laurentiurad | 489 comments
Personal blog post by Laurentiu Raducu describing how he uses LLMs to learn complex topics, including building an interactive chip-making game called ChipTycoon.
Experimenting with Local LLMs on macOS(blog.6nok.org)
367 points by frontsideair | 241 comments
A personal blog post by a self-described LLM skeptic explaining how to download and run large language models locally on a Mac.












