Curated intellectually stimulating content for continuous learning and growth
Just as we're mindful about what we eat, we should be intentional about what we consume intellectually. Mental Food is a curated collection of high-quality, thought-provoking technical content that challenges your thinking, expands your knowledge, and inspires innovation.
This repository focuses on:
- 🎥 Technical talks from industry leaders
- 📄 Research papers that shaped AI/ML
- 📚 Books for deep understanding
- 🎓 Online courses from top universities
- 🎙️ Podcasts for continuous learning
- ✉️ Newsletters to stay current
#define AI Engineer - Greg Brockman, OpenAI (ft. Jensen Huang)
This talk explores:
- The interplay between engineering and research at OpenAI
- Scaling AI systems and infrastructure challenges
- "Vibe coding" and AI's potential to transform software development
- Building transformative AI infrastructure
- Expert talks from Andrej Karpathy, Ilya Sutskever, Yann LeCun
- Essential papers: Transformers, GPT-3, BERT, AlphaGo, ResNet
- Courses from Stanford, MIT, Fast.ai, DeepMind
- System design insights from Jeff Dean, Martin Fowler
- Code quality perspectives from John Carmack
- Architecture patterns and best practices
- Vision from Jensen Huang, Sam Altman, Demis Hassabis
- Product thinking from Paul Graham, Jony Ive
- Company building and innovation strategies
- Visual explanations from 3Blue1Brown
- Linear algebra foundations from Gilbert Strang
- Computer science wisdom from Donald Knuth
- Self-driving cars and AI safety with George Hotz
- Programming languages with Chris Lattner
- Blockchain and decentralization with Vitalik Buterin
- Browse the collection: Check out mf.md for the full curated list
- Pick your interest: Choose content based on your learning goals
- Follow the consumption guide: Use our recommended daily/weekly/monthly framework
- Take notes: Document your key learnings and insights
- Share & contribute: Add your own mental food recommendations!
- 📄 Read one paper abstract or blog post
- 🎙️ Listen to a podcast segment during commute
- 🎥 Watch 2-3 technical talks
- 📝 Write summaries of key learnings
- 💡 Implement one new concept
- 🎓 Complete one course module
- 📚 Read one book chapter
- 🔬 Deep dive into one research area
All content in this repository is curated based on:
✅ Technical Depth - Goes beyond surface-level explanations
✅ Thought Leadership - From recognized experts and innovators
✅ Actionable Insights - Provides practical knowledge you can apply
✅ Timeless Value - Remains relevant despite rapid tech changes
- 20+ Expert Talks & Interviews - From AI pioneers and technology leaders
- 5 Essential Research Papers - Foundational work in AI/ML
- 5 Must-Read Books - Deep technical and leadership insights
- 5 Top Online Courses - From Stanford, MIT, DeepMind, Fast.ai
- 5 Curated Podcasts - For continuous learning on the go
- 5 Key Newsletters - Stay updated with the latest in tech
Have suggestions for mental food? We welcome contributions!
- Fork this repository
- Add your suggestions to
mf.md - Ensure content meets our quality criteria
- Submit a pull request with a brief description
- Technical talks that changed your perspective
- Research papers that are must-reads
- Courses that significantly improved your skills
- Books that shaped your thinking
- Podcasts or newsletters you find invaluable
This repository uses GitHub Actions to automatically discover and suggest new high-quality content every week!
- Weekly Scan: Every Monday at 9 AM UTC, the workflow runs automatically
- Multi-Source Search: Searches YouTube, arXiv, and Hacker News for new content
- Quality Filtering: Only suggests content that meets strict quality criteria:
- YouTube: 10K+ views from trusted channels
- arXiv: Recent papers in AI/ML categories
- Hacker News: 100+ score on technical topics
- Automated PR: Creates a pull request with suggested additions
- Manual Review: Maintainers review and merge quality content
To enable automated content discovery:
-
Get YouTube API Key:
- Go to Google Cloud Console
- Create a new project or select existing
- Enable YouTube Data API v3
- Create credentials (API Key)
- Copy the API key
-
Add Repository Secret:
- Go to repository Settings → Secrets and variables → Actions
- Click "New repository secret"
- Name:
YOUTUBE_API_KEY - Value: Your YouTube API key
- Click "Add secret"
-
Manual Trigger (Optional):
- Go to Actions tab → "Update Mental Food Content"
- Click "Run workflow" to trigger manually
Customize search parameters in scripts/config.yaml:
- Search keywords and topics
- Quality thresholds (views, scores, age)
- Trusted channels and authors
- Content limits per category
For detailed setup and troubleshooting:
- 📖 Quick Start Guide - 8-minute setup walkthrough
- 🔧 Setup Guide - Detailed configuration instructions
- 🐛 Troubleshooting - Common issues and solutions
AI • Machine Learning • Deep Learning • Software Engineering • System Design • Technology Leadership • Research • Innovation • Computer Science • Mathematics • Emerging Tech • Product Design
- 🌟 Star this repo to bookmark it
- 👀 Watch for updates and new content
- 🔀 Fork to create your own curated collection
- 💬 Open issues for suggestions or discussions
This repository is licensed under the MIT License - see the LICENSE file for details.
Inspired by the incredible content creators, researchers, and thought leaders who generously share their knowledge with the world. Special thanks to:
- Greg Brockman & OpenAI team
- Jensen Huang & NVIDIA
- Andrej Karpathy
- Yann LeCun
- And all the amazing educators and innovators featured in this collection
"The mind is not a vessel to be filled, but a fire to be kindled." - Plutarch
Mental food isn't about passive consumption—it's about active engagement with ideas that challenge, inspire, and transform your thinking. Choose quality over quantity, depth over breadth, and always stay curious.
📖 Explore the Collection | 🤝 Contribute | ⭐ Star this Repo
Made with 🧠 and ❤️ for continuous learners everywhere