@rcx86 If only I had thought to train it on StackOverflow instead I think it would have clicked for me that LLMs can be promptable, general purpose Q&A engines. Ah well.↗
I'd always thought AI was terrible at design, but after reading today's 🤯 post by @anshuc, I realized I was just doing it wrong. "AI models are capable of amazing creativity, but that creativity gets stifled. LLMs are trained to be next-token predictors: they look at a sequence…↗
Inspired by this, I made my own: "eli5-for-grownups." It's like @trq212's, and because I'm a picky consistency freak, it has extra direction on what eli5 means and doesn't. Should you like, here it is: docs.google.com/document/d/1bi…↗
With 5.6 Sol, a lot of people are still prompting the model exactly as they did 5.5 It's important to note that 5.6 Sol is a lot more tenacious and thorough than previously models. Check out the guide I wrote here to get better outcomes learn.chatgpt.com/docs/prompting↗
TL;DR ELI5 of @trq212's new article: Claude isn't the bottleneck anymore. The stuff you forgot to tell it is. Your prompt is a map. The codebase is the actual road. Every pothole you didn't mention, Claude fills with its best guess, and the more work you hand it, the more it has…↗
developers.openai.com/api/docs/guide… **NEW: GPT-5.5 Prompting Guide** "GPT-5.5 works best when prompts define the outcome and leave room for the model to choose an efficient solution path. Compared with earlier models, you can often use shorter, more outcome-oriented prompts:…↗
@jyothiwrites yeah I dont think of prompting as "saying the right magic words", but I think of it as communicating clearly with the agent and there is a huge skill ceiling there↗









