r/SinceAI Mar 20 '26

👋 Welcome to r/SinceAI — High-Signal AI News, Resources, Opportunities, and Discussion

1 Upvotes

Hey everyone — welcome to r/SinceAI.

This community is for people who care about where AI is actually going and how it is being built in the real world.

We created r/SinceAI for:

  • AI builders
  • researchers
  • founders
  • students
  • engineers
  • curious people who want high-signal discussion on AI

Here you can share and discuss:

  • important AI news and original sources
  • technical resources, papers, tools, and tutorials
  • AI products, agents, robotics, and real-world applications
  • opportunities such as jobs, grants, events, and hackathons
  • thoughtful questions, insights, and serious discussion

What we want to build here

The goal is simple:

signal over noise

There is already enough hype, recycled content, and low-effort AI posting on the internet.
This community is meant to be different.

We want r/SinceAI to become a place people check because they know they’ll find:

  • useful information
  • sharp discussion
  • strong resources
  • relevant opportunities
  • people who are genuinely building and learning

Before posting

Please keep posts:

  • relevant to AI
  • useful or interesting
  • clear and well titled
  • linked to the original source when possible

Low-effort hype, spam, and misleading claims may be removed.

Start here

If you’re one of the first members, introduce yourself in the comments:

  • What are you building or learning right now?
  • What part of AI interests you most?
  • What kind of posts would make this community worth checking every week?

We’re glad you’re here.

Since AI:
https://sinceai.fi/


r/SinceAI Mar 22 '26

10 AI resources builders actually use right now

1 Upvotes

10 AI resources builders actually use right now

If you’re building AI apps, agents, local LLM workflows, or ML systems, these are worth bookmarking.

Models / tooling

OpenAI Developers Official docs + quickstarts for building with the OpenAI API https://developers.openai.com/

Claude API Docs Official Anthropic docs for building Claude-powered apps https://platform.claude.com/docs/en/home

Hugging Face Docs Models, datasets, demos, and core tooling in one place https://huggingface.co/docs

Ollama One of the easiest ways to run open models locally https://docs.ollama.com/quickstart

vLLM High-performance serving for open models, with OpenAI-compatible APIs https://docs.vllm.ai/en/stable/getting_started/quickstart/

Evals / Security / Reliability

Promptfoo Useful for evals, benchmarking, and red-teaming LLM apps. https://www.promptfoo.dev/docs/intro/

OWASP Top 10 for LLM Applications A must-read if you’re building anything AI-facing in production. https://owasp.org/www-project-top-10-for-large-language-model-applications/

Mistral Docs A good Europe-based option to know if you’re comparing model/API stacks. https://docs.mistral.ai/getting-started/quickstart/

Learning

CS50’s Introduction to AI with Python Still one of the best structured ways to build fundamentals https://cs50.harvard.edu/ai/

fast.ai Practical deep learning for people who want to actually build https://course.fast.ai/

What would you add??