Browse Comments — Clean (de-noised)

This is amazing Abhishek Veeramalla

Abhishek Veeramalla Thank you very much for this resources. Would you mind telling me where one should start if he hasn't previously worked with AI?

Nice pic.. with tesla

Abhishek Veeramalla Thanks for sharing

Thank you for the infoshare. CFBR.

Thats a great repository. Thanks for sharing

aiengineeringfromscratch.com is good resource as well

🚀 If you’re looking for Data Engineering / Data Analyst jobs, this might help 👇 Regular job updates + learning resources. WhatsApp channel link -

A repository becomes powerful when it doesn’t just teach tools — it teaches engineering thinking. This is the kind of open-source contribution that quietly shapes future architects, not just job seekers. 🚀

James Shrestha tero app ta Github ko repository ma pahila aaio ta.. check

This feels much more valuable than random AI demo repos. Real architectures, real workflows, and actual implementation patterns are where the deeper learning starts.

Great work

Worthhfull thanks for sharing ❤️

info@arvindgupta.co

arvindgupta718@gmail.com

Munna Kumar Pandit Anshika Gupta

What stands out to me is that conversations like this are slowly shifting AI from “tools that answer” toward systems that can eventually understand, adapt, and grow through interaction. That’s a major part of the vision behind Hybrid Octopus OS: persistent memory, adaptive intelligence, continuity of reasoning, and long-term human-AI collaboration. Still early, but I genuinely believe the future of AI will belong to systems that evolve with people instead of resetting on them. Appreciate perspectives like this — they inspire deeper thinking and meaningful progress.

the gap between 'learning AI' and 'building with AI' is where most people get stuck for months this kind of repo actually shortcuts that pain 🔥 the agent-reasoning framework with 11 cognitive architectures is wild saving this one.

AI;DR

Sanjukta Roychoudhury