📚 AI Resources
A curated collection of high-quality AI resources for continuous learning and staying updated with the latest developments in artificial intelligence.
🎙️ Podcasts
AI & Machine Learning
The TWIML AI Podcast (opens in a new tab)
- Host: Sam Charrington
- Focus: Machine learning, AI research, and industry applications
- Frequency: Weekly
- Best for: Technical deep dives and research trends
Lex Fridman Podcast (opens in a new tab)
- Host: Lex Fridman
- Focus: Long-form conversations with AI researchers, technologists, and thought leaders
- Frequency: Weekly
- Best for: Philosophical discussions and cutting-edge research
The AI Show (opens in a new tab)
- Host: Microsoft AI team
- Focus: Practical AI applications and Microsoft AI tools
- Frequency: Bi-weekly
- Best for: Microsoft AI ecosystem and enterprise applications
Machine Learning Street Talk (opens in a new tab)
- Host: Dr. Tim Scarfe
- Focus: Technical discussions with AI researchers
- Frequency: Weekly
- Best for: Research-level conversations
Product & Business AI
AI Product Lens (opens in a new tab)
- Host: Mark Sher
- Focus: AI product management and strategy
- Frequency: Bi-weekly
- Best for: AI PMs and product leaders
📰 Newsletters & Substack
Technical & Research
The Batch (opens in a new tab)
- Author: Andrew Ng & DeepLearning.AI team
- Focus: AI news, research highlights, and practical insights
- Frequency: 3x per week
- Best for: Staying current with AI developments
Import AI (opens in a new tab)
- Author: Jack Clark
- Focus: AI policy, research, and industry news
- Frequency: Weekly
- Best for: Policy implications and research breakthroughs
Machine-Learning-Coffee (opens in a new tab)
- Author: various researchers
- Focus: Weekly ML research papers and discussions
- Frequency: Weekly
- Best for: Research paper summaries
Industry & Product
Exponential View (opens in a new tab)
- Author: Azeem Azhar
- Focus: AI, technology trends, and societal impact
- Frequency: Weekly
- Best for: Strategic thinking and future trends
Ben's Bites (opens in a new tab)
- Author: Ben Thompson
- Focus: AI news and tools in digestible format
- Frequency: Daily
- Best for: Quick daily updates
The Neuron (opens in a new tab)
- Author: Pete Huang
- Focus: AI news explained simply
- Frequency: Daily
- Best for: Accessible AI news
The Product Compass | AI (opens in a new tab)
- Author: Product Compass team
- Focus: AI product management and strategy insights
- Frequency: Weekly
- Best for: AI product managers and strategists
AI by Hand (opens in a new tab)
- Author: AI by Hand team
- Focus: Practical AI implementation and tutorials
- Frequency: Bi-weekly
- Best for: Hands-on AI development skills
Product Growth (opens in a new tab)
- Author: Product Growth experts
- Focus: Product-led growth strategies and AI-driven growth
- Frequency: Weekly
- Best for: Growth marketers and product managers
🎥 YouTube Channels
Technical Content
3Blue1Brown (opens in a new tab)
- Focus: Mathematical intuitions behind ML concepts
- Style: Visual explanations and animations
- Best for: Understanding core ML math concepts
StatQuest with Josh Starmer (opens in a new tab)
- Focus: Statistics and machine learning concepts
- Style: Simple, clear explanations
- Best for: Building foundational knowledge
Andrej Karpathy (opens in a new tab)
- Focus: Deep learning, neural networks, and AI systems
- Style: Technical tutorials and lectures
- Best for: Deep learning implementation
Yannic Kilcher (opens in a new tab)
- Focus: ML research paper explanations
- Style: Paper reviews and technical discussions
- Best for: Keeping up with latest research
Industry & Applications
Two Minute Papers (opens in a new tab)
- Focus: Latest AI research breakthroughs
- Style: Quick summaries of recent papers
- Best for: Overview of cutting-edge research
AI Explained (opens in a new tab)
- Focus: AI news, capabilities, and implications
- Style: In-depth analysis and discussions
- Best for: Understanding AI developments
David Shapiro (opens in a new tab)
- Focus: AI, AGI, and future technology
- Style: Thoughtful discussions and predictions
- Best for: Big-picture AI thinking
🛠️ Tools & Platforms
Learning Platforms
- Free practical deep learning courses
- Best for: Hands-on coding experience
DeepLearning.AI (opens in a new tab)
- Andrew Ng's ML and AI courses
- Best for: Structured learning paths
Hugging Face Courses (opens in a new tab)
- NLP and transformer model courses
- Best for: Modern NLP techniques
Research & Papers
Papers With Code (opens in a new tab)
- Machine learning papers with code implementations
- Best for: Reproducing research
arXiv.org (opens in a new tab)
- Latest AI research papers
- Best for: Cutting-edge research
💼 Professional Communities
Networking & Discussion
AI Alignment Forum (opens in a new tab)
- Technical discussions on AI alignment
- Best for: AI safety research
LessWrong (opens in a new tab)
- Rationality and AI discussions
- Best for: AI philosophy and safety
Reddit - r/MachineLearning (opens in a new tab)
- General ML discussions and news
- Best for: Community discussions
Conferences & Events
- Premier ML conference
- Best for: Latest research presentations
- International Conference on Machine Learning
- Best for: Academic research
- Computer Vision conference
- Best for: Computer vision research
📈 How to Use These Resources
For Beginners
- Start with StatQuest and 3Blue1Brown for foundational knowledge
- Subscribe to The Batch and Ben's Bites for daily updates
- Follow Two Minute Papers for research overview
For Practitioners
- Read Import AI and The Neuron for industry news
- Watch Yannic Kilcher for paper reviews
- Join Reddit r/MachineLearning for discussions
For Researchers
- Follow arXiv and Papers With Code for latest papers
- Watch Lex Fridman Podcast for deep discussions
- Participate in AI Alignment Forum for technical debates
🔄 Regular Updates
This resource list is regularly updated. Last updated: November 2025
Have suggestions for additional resources? Feel free to reach out with recommendations!