Popular Websites, Books & Videos on AI

---

 If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All 

— Eliezer Yudkowsky & Nate Soares, 2025

A warning / deep dive into risks from superintelligent AI; argues about what might go wrong if AGI is built without sufficient safety. 

Empire of AI: Dreams and Nightmares in Sam Altman’s OpenAI 

— Karen Hao, 2025

A journalistic history of OpenAI: internal culture, ambition, controversies. It’s useful for understanding what’s going on behind the scenes in one of the world’s leading AI orgs. 

Supremacy: AI, ChatGPT and the Race That Will Change the World 

— Parmy Olson, 2024

Focuses on generative AI and how companies/ countries are competing. Good to see how business, strategy, and geopolitics are shaping AI. 

The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence 

— Kate Crawford (recent)

Examines societal costs: environmental, labour, power & inequality. It brings critical perspectives, going beyond the “cool tech” view. 

The Coming Wave: Technology, Power, and the Twenty-first Century’s Greatest Dilemma 

— Mustafa Suleyman & Michael Bhaskar (recent)

Explores how fast tech including AI is reshaping power, society; what rules/structures we might need. Good for thinking strategically. 

Life 3.0: Being Human in the Age of Artificial Intelligence 

— Max Tegmark, 2017

While not brand new, it remains a strong overview of what AI means for the future of society, ethics, existential risk, and possible futures.  

Here are some of the top sites to follow regularly for updates, deep dives, tools & research in AI.

OpenAI Blog

Official announcements, research publications, code & model releases. Good source for what’s new from one of the leading labs. 

Google AI Blog & Google Research Blog

Cutting-edge research papers, tools, engineering insights from Google. Often includes breakthrough models, papers, datasets. 

DeepMind Blog

Research with strong academic & engineering rigor; transparent about methodology. Great for understanding state-of-the-art neural network / reinforcement learning work. 

Berkeley Artificial Intelligence Research (BAIR) Blog

Academic, often bridging theory and practice; good for robotics, vision, ML. 

Machine Learning Mastery

More hands-on, tutorials, practical ML code & how-tos; good if you like learning by building. 

KDnuggets

Mix of news, tutorials, surveys; strong community. Good for both beginners and intermediate folks to see what’s happening in ML / AI broadly. 

MIT News – Artificial Intelligence

Research from MIT, innovations, labs, new findings. Often features the impact of AI in real-world systems. 

Analytics Vidhya

Tutorials, case studies, tools, competitions; especially useful if you want to apply AI, not just read about theory. 

AI Trends

Focuses on business, policy, applications, ethics. Good to see how AI is being integrated into industry and society.

IndianAI.in (AI Blog)

Deep analyses, breakdowns of recent AI technology and trends. Focuses on Indian / regional perspective, likely with more accessibly local examples. Good to see how AI is being used in India.

Capabl (India) Blog

AI trends, innovation, leadership, digital transformation in Indian context. Helps with understanding how AI is being used in business/industry locally; good for applied side.

These are channels or video-series that do a good job of keeping up with AI research, tools, explaining concepts, etc.

Two Minute Papers

Very short summaries of recent research papers; great for keeping up with what’s new without getting lost in technical depth. 

Yannic Kilcher

Deep dives into recent academic papers, sometimes entire model architectures, with critique. Good for advanced learners. 

Sentdex

Practical tutorials, coding in Python; examples and walkthroughs. Useful for hands-on learning. 

StatQuest with Josh Starmer

Excellent for breaking down the statistical / mathematical foundations behind ML & AI in clear visual terms. 

Lex Fridman

Interviews with AI researchers, thinkers — more about broader implications, ethics, philosophy, future. Good for context. 

Matt Wolfe

Frequent “tool-roundups”, demonstrations of new AI tools, reviews. Good for staying current with what you can use. 

ArXiv Insights

Goes through academic pre-prints (on arXiv), explaining them in accessible ways. Helps bridge between research and general understanding.

 Krish Naik

Hands-on tutorials in ML / Deep Learning / Computer Vision; coding walk-throughs. Very practical; good if you want to get your hands dirty. Some videos may assume prior knowledge.

CodeWithHarry

Popular Indian channel; tutorials in Hindi/English; covers coding, AI tools, sometimes generative AI. Great if you prefer mixed language explanations; good for beginners/intermediate. 

 AI in Focus (CoRE-AI)

Newsletter covering key developments, policy updates, expert commentary on AI governance in India and beyond. Periodic (Volume-based) issues. Good source for understanding government policy, regulation, and how AI is being governed in the Indian setting.

The IndiaAI Newsletter

Covers latest from AI world globally and locally. Biweekly. Balanced global + Indian perspective; useful to see what’s happening in India’s AI ecosystem.

AIM (Analytics India Magazine)

Tech & AI stories, features, interviews, industry trends etc. Offers several subscription options. Daily/weekly updates; email newsletters and their magazine. Very helpful for staying updated on India-specific news: startups, regulation, applied AI projects, jobs etc.

ET AI (Economic Times AI)

Breaking news in AI: business, tech, applications & trends in India and globally. Daily; short digest style with key updates. Since ET is prominent in Indian business news, this helps see impact of AI in business, policy etc., in local industries. 

1. Analytics India Magazine (AIM) Newsletter
   🔗 Subscribe here
    
   • Covers India’s AI ecosystem: startups, corporate adoption, jobs, research.
      
   • Good for local relevance, business + industry trends.
      
   • Frequency: Weekly / Daily options.
      

1. IndiaAI Newsletter (LinkedIn)
   🔗 Subscribe here
    
   • Official India-centric AI updates (policy, research, events).
      
   • Great for following government + ecosystem growth.
      
   • Frequency: Biweekly.
      

1. Ben’s Bites
   🔗 Subscribe here
    
   • Concise AI news + real-world applications explained in plain English.
      
   • Perfect for daily quick reads, plus weekly insights.
      
   • Frequency: Daily + Weekly.
      

1. TLDR AI
   🔗 Subscribe here
    
   • Summarizes new AI research papers, tools, and breakthroughs.
      
   • Good if you want “research without reading full papers.”
      
   • Frequency: Daily.
      

1. Mindstream
   🔗 Subscribe here
    
   • A fast 5-minute AI digest — tools, news, productivity hacks.
      
   • Helps you stay current without overwhelm.
      
   • Frequency: Daily.
      

✨ Together, these 5 will give you:

• India relevance → AIM + IndiaAI.
   
• Tools & Applications → Ben’s Bites + Mindstream.
   
• Research Simplified → TLDR AI.

• Newsletters in Inbox:
   
  • Ben’s Bites → scan daily AI news + use-cases.
     
  • Mindstream → skim for tools/productivity hacks.
     
  • TLDR AI → read 1–2 summaries of latest research.
     

(Tip: Skim headlines, bookmark anything that feels relevant for weekend deep dive.)

• Websites / Blogs:
   
  • Analytics India Magazine (AIM) → read industry trends in India.
     
  • IndiaAI Newsletter / Portal → check policy + ecosystem updates.
     
  • DeepLearning.AI Blog → for practical tutorials & global perspective.
     

(Pick one per session, rotate across the week.)

1. Book Reading (30–45 min):
    
   • Rotate between: The Coming Wave (strategic view), Supremacy (industry race), Atlas of AI (social impacts).
      
   • Aim: 1–2 chapters per week.
      

1. YouTube / Video (45 min):
    
   • Two Minute Papers → latest research (short, fun).
      
   • Krish Naik / iNeuron → hands-on coding/project tutorials.
      
   • Lex Fridman / StatQuest → long-form context or math clarity.
      

(Choose 2–3 videos, mix short + deep interviews/tutorials.)

• Catch-up Reading:
   
  • Bookmark from daily newsletters → spend 1 session reading in detail.
     
• Long Report / Whitepaper:
   
  • e.g., State of AI Report, NASSCOM AI updates, or OpenAI/DeepMind research blog.
     
• Reflect & Write:
   
  • Draft a short blog/LinkedIn post summarizing what you learned → reinforces knowledge + builds your thought leadership.
     

✅ Balance:

• Daily = lightweight skims.
   
• Weekly = structured deeper dives.
   
• Monthly = big-picture synthesis.