Post Covid Effects - year 2021 - 2026

post-Covid trends :

Health & society

• High incidence of cancer cases

• Heavy crowd in religious places

• Society feeling like it’s part of a post-pandemic social experiment

• People increasingly feeling like victims of systemic/social changes

Media, content & attention economy

• Rise of highly vulgar/explicit content creation

• Overflow of content across platforms

• Death/decline of mainstream media (MSM)

• OTT platforms booming

• Youth creating cringe reels

• Older generations consuming/forwarding propaganda content on WhatsApp

• Endless content competing for attention (AI, reels, short-form media)

AI & technology

• Growing dependence on AI tools

• AI helping in personal decision-making

• Non-emotional, data-driven decisions becoming easier

• Singularity/rapid AI acceleration discussions

• Cheap internet (Jio effect) acting as a major catalyst

Work & lifestyle

• Sudden realization of work-life balance

• Work-from-home becoming common

• Hybrid work structures rising

Economy, business & consumption

• Emergence and boom of quick commerce / 10-minute delivery apps

• Mushrooming of eateries and food businesses

• Healthcare sector growth (especially listed space)

• 12% return now perceived as “low” (shift in financial expectations)

Travel & behavior

• Massive boom in travel

• “Revenge travel” trend among Gen Z

Broader structural observations

• Humans increasingly influenced/controlled by platforms and digital ecosystems

• Ongoing debate: are these changes organic or planned?
  
  
  

Which model is best for which use case?

https://www.designarena.ai/leaderboard

Concrete mindshifts in the AI era

1. Stop starting from a blank page. Start from a prompt.
   Work begins with instruction, not creation.

2. Stop fixing line by line. Start regenerating versions.
   Instead of patching errors, you ask AI for a better version.

3. Stop memorizing syntax. Start mastering intent.
   You don’t need to remember code or commands — you need to explain what you want.

4. Stop doing tasks. Start designing workflows.
   Your value is in deciding what should happen, not in executing every step.

5. Stop working alone. Start working in pairs (you + AI).
   Every serious task now has a copilot.

6. Stop searching. Start asking.
   Google = keywords.
   AI = questions + context.

7. Stop perfecting drafts. Start iterating fast.
   First version in 2 minutes, not 2 hours.

8. Stop being the producer. Start being the editor.
   AI produces.
   You judge, refine, and approve.

9. Stop measuring effort. Start measuring outcome.
   Nobody cares how long it took — only what it delivered.

10. Stop learning tools. Start learning how to command tools.
    The skill is not Excel, Python, or Figma.
    The skill is telling systems what to do.

11. Stop owning execution. Start owning responsibility.
    AI may do the work — you own the decision.

12. Stop asking “Will AI replace me?”
    Start asking “Can I replace my old way of working?”

2026 AI wishlist

Homeschooling kid must know this!

50 YouTube Channels  - You learn stuff

1. 📐 Khan Academy – Math, Science, Economics

2. 💡 TED-Ed – Animated lessons on every subject

3. 🔬 CrashCourse – Academic subjects, history, science

4. 💻 freeCodeCamp. org – Coding, tech, software

5. 📊 Kurzgesagt – In a Nutshell – Science, philosophy

6. 🔍 Veritasium – Science & experiments

7. 📜 SmarterEveryDay – Curiosity-driven science

8. 🧪 AsapSCIENCE – Science concepts

9. 🔨 Mark Rober – Engineering & experiments

10. 🌍 National Geographic – Nature, science, culture

11. 🌎 Wendover Productions – Geography, economics, logistics

12. 📚 CGP Grey – Society, systems, geography

13. ✍️ MinutePhysics – Simplified physics

14. 🌌 PBS Space Time – Astronomy & deep physics

15. 🧬 SciShow – Science topics

16. 🧱 3Blue1Brown – Advanced math visualized

17. 🎭 The School of Life – Psychology, relationships, philosophy

18. 🧩 MindYourDecisions – Math puzzles, logical thinking

19. 🛠️ DIY Creators – Practical DIY skills

20. 🌱 Epic Gardening – Gardening science & skills

21. 🧠 Vsauce – Curiosity, science, deep explanations

22. 🧬 ColdFusion – Technology, innovation, history

23. 🛰️ Isaac Arthur – Futurism, advanced science

24. 🤖 Two Minute Papers – AI, research explained

25. 🚀 Everyday Astronaut – Space & rocket science

26. 💻 Fireship – Tech explained fast

27. 🧠 Ali Abdaal – Productivity & learning

28. 📘 How Money Works – Finance basics

29. 💸 Patrick Boyle – Economics, finance, markets

30. 🎓 Thomas Frank – Productivity & study systems

31. 🗺️ RealLifeLore – Geography, world systems

32. 🧪 Physics Girl – Science experiments explained

33. 🌍 It’s Okay To Be Smart – Science education

34. 🧬 SciShow Psych – Psychology

35. 🛠️ Practical Engineering – Engineering explained

36. 👨‍🔬 Steve Mould – Science & quirky phenomena

37. 🎥 Vox – Global issues explained visually

38. 📊 Economics Explained – Economics simplified

39. 🔍 Aperture – Deep investigations & analysis

40. 📜 Ancient Architects – Archeology & lost history

41. 📚 History Matters – Bite-sized history

42. 🌿 Nature on PBS – Wildlife & environment

43. 🚀 Real Science – Scientific discoveries

44. 🎒 CrashCourse Kids – Learning basics

45. 🎨 Proko – Drawing fundamentals

46. 📝 EDX – University-level online courses

47. 🎓 MIT OpenCourseWare – Full academic courses

48. 🧪 Periodic Videos – Chemistry explained

49. 🔭 Fraser Cain / Universe Today – Space & astronomy

50. 🧠 Big Think – Ideas, science, expert talks

Vibe Coding tools

• Gemini AI studio
• V0
• Codex
• Lovable
• Bolt
• Replit
• Chef
• Rork
• Vibecode
• Anything
• a0
• Emergent
• windsurf
• Cursor
• ClaudeCode
• grok
• chatGPT
• Base44
• GitHub Copilot
• Devin
• VS Code
• Dream flow
• mgx.dev

and the list goes on!

TypeScript has become the most widely used language on GitHub

https://github.blog/news-insights/octoverse/octoverse-a-new-developer-joins-github-every-second-as-ai-leads-typescript-to-1/

Good Better Best

Text to Video - AI video generation site links

1. Heygen
2. Mirage
3. AIVideo.com
4. Syllaby.io
5. Descript
6. Synthesia
7. Riverside
8. Wisecut
9. Eddie AI
10. Gling.ai
11. Visla
12. Jupitrr AI
13. Filmora
14. Canva
15. Runway
16. Kling
17. Pica
18. Capcut
19. Adobe Firefly
20. Google Veo
21. OpenAI Sora
22. CogVideo 
23. Hunyuanvideo
24. Hailuovideo
25. Lumalabs
26. Wanvideo
27. Fliki
28. Invideo
29. Pixverse
30. Fluxvideo
31. Seedance
32. Domo AI video
33. Kaiber
34. Steve
35. Colossyan
36. RawShorts
37. Animoto
38. Kapwing
39. Elai
40. Veed
    
    

Vibe Reading - The Almanack of Naval Ravikant

📘 The Almanack of Naval Ravikant — Detailed Chapter Summary

Chapter / Principle	Meaning / Summary
Chapter 1: Wealth ≠ Money ≠ Status	1️⃣ Wealth = freedom; focus on creating assets. 2️⃣ Money = tool to exchange value; don’t obsess over it. 3️⃣ Status = zero-sum game; competing for approval wastes energy.
Chapter 2: Build Specific Knowledge	1️⃣ Learn skills unique to you. 2️⃣ Play-aligned work compounds advantage. 3️⃣ These skills cannot be taught, only discovered. 4️⃣ Focus on areas where judgment and creativity are rewarded.
Chapter 3: Leverage Everything	1️⃣ Leverage = tools, capital, code, media, and labor. 2️⃣ Leverage multiplies output without trading time. 3️⃣ Permissionless leverage (code, media) scales infinitely.
Chapter 4: Play Long-Term Games	1️⃣ Build relationships and reputation over years. 2️⃣ Compound effort by consistent, repeated actions. 3️⃣ Avoid short-term thinking and instant gratification.
Chapter 5: Accountability & Reputation	1️⃣ Skin in the game builds credibility. 2️⃣ Own your results and actions. 3️⃣ Reputation compounds like wealth — protect it.
Chapter 6: Judgment is the Most Valuable Skill	1️⃣ Quality decisions multiply all other skills. 2️⃣ Develop judgment through experience and reflection. 3️⃣ Learn from reality, not opinions. 4️⃣ Avoid impulsive or emotional choices.
Chapter 7: Make Luck Your Destiny	1️⃣ Luck can be engineered through motion and effort. 2️⃣ Preparation enables spotting opportunities others miss. 3️⃣ Position yourself uniquely so luck finds you. 4️⃣ Actively engage — luck favors action.
Chapter 8: Stop Trading Time for Money	1️⃣ Time = finite; don’t rent it to others. 2️⃣ Build assets that generate income without your hours. 3️⃣ Equity in products/businesses multiplies wealth.
Chapter 9: Happiness is a Skill	1️⃣ Peace, not pleasure, is the foundation of happiness. 2️⃣ Reduce unnecessary desires. 3️⃣ Cultivate awareness and present-moment focus. 4️⃣ Happiness can be learned and practiced daily.
Chapter 10: Desire Creates Unhappiness	1️⃣ Every desire is a contract to be unhappy until fulfilled. 2️⃣ Choose desires carefully — only meaningful ones. 3️⃣ Drop superficial or externally imposed wants.
Chapter 11: Stillness & Awareness	1️⃣ Quiet the mind with meditation and reflection. 2️⃣ Observe thoughts, don’t identify with them. 3️⃣ Awareness is the path to uncover happiness. 4️⃣ Detachment reduces suffering.
Chapter 12: Self-Responsibility	1️⃣ No one is coming to save you. 2️⃣ Radical ownership = empowerment. 3️⃣ Stop blaming others; focus on solutions. 4️⃣ Treat life as your personal project.
Chapter 13: Authenticity Compounds	1️⃣ Be yourself — it’s your ultimate leverage. 2️⃣ Authenticity attracts aligned people and opportunities. 3️⃣ Stop pretending; stop competing unnecessarily. 4️⃣ Remix learning; avoid full imitation.
Chapter 14: Life’s Meaning is Self-Created	1️⃣ Meaning is made, not found. 2️⃣ Engage in creation, love, and play for fulfillment. 3️⃣ Awareness itself gives life meaning. 4️⃣ Don’t seek external validation; find internal alignment.
Chapter 15: Final Philosophy	1️⃣ Calm mind + fit body + strong relationships = good life. 2️⃣ Wealth buys freedom, happiness = peace, meaning = awareness. 3️⃣ Live consciously, act ethically, love fully. 4️⃣ Simplicity and gratitude compound over time.

Top 20 Naval Ravikant Quotes!

1. “Seek wealth, not money or status. Wealth is having assets that earn while you sleep.”

2. “Desire is a contract you make with yourself to be unhappy until you get what you want.”

3. “Play long-term games with long-term people.”

4. “Escape competition through authenticity.”

5. “You will get rich by giving society what it wants but does not yet know how to get — at scale.”

6. “The most important skill for getting rich is becoming a perpetual learner.”

7. “Impatience with actions, patience with results.”

8. “If you can’t see yourself working with someone for life, don’t work with them for a day.”

9. “The goal is not to be successful; the goal is to be free.”

10. “Happiness is a choice and a skill, and you can dedicate yourself to learning that skill.”

11. “A calm mind, a fit body, a house full of love. These things cannot be bought — they must be earned.”

12. “Read what you love until you love to read.”

13. “When you’re finally wealthy, you’ll realize it wasn’t what you were seeking in the first place.”

14. “The hardest thing is not doing what you want — it’s knowing what you want.”

15. “Earn with your mind, not your time.”

16. “The best way to get what you want is to deserve what you want.”

17. “There are no get-rich-quick schemes. That’s just someone else getting rich off you.”

18. “You don’t have to live your life the way other people expect you to.”

19. “Honesty is a superpower. It lets you do whatever you want because you have nothing to hide.”

20. “No one can compete with you on being you. Most of life is a search for who and what needs you the most.”

This is cool

High Level Vs Low Level Languages!

Question: 

High-level programming languages were created to make coding easier for humans by abstracting low-level details like memory management and processor instructions. But if AI is writing the code, do we still need them?

chatGPT answer:

Why High-Level Languages Exist

1. Human Readability – They are easier for humans to understand and modify.
2. Abstraction – They simplify complex hardware interactions.
3. Productivity – Developers can build applications faster.
4. Portability – High-level code can run on multiple devices with minimal changes.

If AI Writes Code, Do We Still Need Them?

Yes, but their role might change. Here’s why:

1. AI Still Needs Human Guidance

AI can generate code, but humans need to define problems, set goals, and verify correctness. High-level languages help bridge the gap between human thought and machine execution.

2. Debugging and Understanding Code

Even if AI writes the code, humans will still need to read, debug, and maintain it. High-level languages make this easier than low-level machine code.

3. Collaboration Between Humans and AI

Programming is not just about writing code—it involves designing architectures, optimizing performance, and integrating systems. A high-level language makes it easier for AI and human developers to work together.

4. AI Itself Uses High-Level Languages

Most AI models today are built using high-level languages like Python, JavaScript, and Julia. Even AI needs structured, human-readable languages to function efficiently.

Future of Coding with AI

• We might see more natural language-based coding (e.g., "Write me a web app that does X").
• AI-assisted coding will improve, but human oversight will still be needed.
• New languages may emerge that are even more AI-friendly, blending structured logic with natural human instructions.

So while AI might reduce the need for traditional manual coding, high-level languages will still be relevant for communication, debugging, and human-AI collaboration.