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Unrolling the Codex agent loop(openai.com)
423 points by tosh | 195 comments
OpenAI engineering blog post by Michael Bolin explaining how the Codex CLI software agent's agent loop works.
GPT-5.2(openai.com)
125 points by meetpateltech | 37 comments
Related stories
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.
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.
You should write an agent(fly.io)
944 points by tabletcorry | 375 comments
Fly.io blog post arguing that every developer should build their own LLM agent to understand how agents work.
My finetuned models beat OpenAI's GPT-4(mlops.systems)
376 points by majc2 | 86 comments
Blog post evaluating finetuned Mistral, Llama3 and Solar LLMs against OpenAI's GPT-4 on accuracy for structured data extraction from press releases.
LLMs and Programming in the first days of 2024(antirez.com)
355 points by nalgeon | 230 comments
Intended to be antirez's blog post on using LLMs for programming in early 2024, but the capture shows a Redis-branded 404 error page.
The new skill in AI is not prompting, it's context engineering(philschmid.de)
832 points by robotswantdata | 467 comments
Blog post by Philipp Schmid arguing that context engineering, supplying LLMs with the right information and tools, matters more than prompting for AI agents.












