Have you ever wanted a single place to follow everything happening in AI? That’s what this subreddit aims to be: a hub for conversations about AGI, AI startups, research papers, tutorials, and the small practical things that help you actually build models.
I remember finding it when I was trying to understand a noisy research paper. There were readable summaries, folks sharing code, and a few heated but thoughtful debates. It saved me hours and gave me ideas I wouldn’t have found on my own.
Why it’s worth joining
– Breadth: Posts range from high-level AGI discussion to nitty-gritty implementation tips.
– Community help: Researchers, developers, and hobbyists answer questions and critique ideas.
– Startup signals: People share funding news, launches, and job posts.
– Learning resources: Curated threads, tutorials, and reading lists often appear.
How to get the most out of it
1. Read the pinned posts and rules first. They usually link to great starter resources.
2. Search before posting — someone probably asked the same question.
3. Use flair so readers know if your post is a research summary, project demo, or help request.
4. Be specific when asking for help: show code, list model sizes, and include error messages.
A few honest caveats
Not every post is high quality. You will see speculation, hype, and sometimes drama. Treat opinions like opinions and double-check technical claims. The best threads are the ones where people explain their reasoning and link to sources.
If AI feels intimidating, start by lurking. Read a few top posts, try a linked tutorial, then ask a focused question. When you show effort, people are usually happy to help.
Bottom line: this subreddit is a practical, lively place to learn and keep up with AI. Whether you’re a researcher, builder, or just curious, subscribing and checking in now and then will keep you informed and connected.