Feynman

@Ken_LoveTW Absurdity and prejudice. Tens of millions of people died in Japan's war of aggression against China. So Tell me, Tell me! Who is the ambitious country that has caused a profound war disaster to the world?

If you dont know what to do, here's what you need to do: 1. Learn Claude Code 2. Learn n8n 3. Configure Perplexity Al Computer 4. Deploy OpenClaw 5. Get familiar with Manus 6. Build a second Al brain 7. Learn prompt engineering 8. Finalize a niche (where you have leverage) 9. Replicate a validated, well-funded model 10. Build a focused portfolio 11. Launch an Al avatar + content 12. Build a cold outreach system

If each platform originates from an open interface to the AGENT everyone will be inseparable from OpenClaw or similar AGENT within a year.

🚨Breaking: MIT just quietly dropped one of the most valuable AI learning lists on the internet — and almost nobody is talking about it. 12 MIT-level AI books. From foundations → deep learning → RL → probabilistic ML. If you skip this, you're willingly staying behind. Here’s the full list: Foundations 1. Foundations of Machine Learning — lnkd.in/gytjT5HC 2. Understanding Deep Learning — lnkd.in/dgcB68Qt 3. Machine Learning Systems — lnkd.in/dkiGZisg Advanced Techniques 4. Algorithms for ML — algorithmsbook.com 5. Deep Learning — lnkd.in/g2efT6DK Reinforcement Learning 6. RL Basics (Sutton & Barto) — lnkd.in/guxqxcZZ 7. Distributional RL — lnkd.in/d4eNP-pe 8. Multi-Agent Systems — marl-book.com 9. Long Game AI — lnkd.in/g-WtzvwX Ethics & Probability 10. Fairness in ML — fairmlbook.org 11. Probabilistic ML (Part 1) — lnkd.in/g-isbdjj 12. Probabilistic ML (Part 2) — lnkd.in/gJE9fy4w This is basically an MIT AI curriculum for free. Most people bookmark this. Few actually study it. The ones who do… end up building the future.

3 OpenClaw tips that took me months to figure out: 1. Make it self-improve Create a `.learnings/` folder with: - `ERRORS.md` → Log every failure with context - `LEARNINGS.md` → Log every correction you make Add this to your `AGENTS.md`: "After completing ANY task, check .learnings/ for relevant past errors. After ANY failure, log it immediately." Your agent stops making the same mistake twice. 2. 100% fix rate for crashes When OpenClaw breaks, don't debug manually. Point Claude Code at your files: "My OpenClaw agent is [not responding / slow / erroring]. SSH into my machine, read the logs, and troubleshoot. Build a plan before taking action." I've never written code. This works every time. 3. Make it opinionated Edit your `SOUL.md`: "- Take a stance. Never hedge with "you could do X or Y" - Be concise. No filler phrases. - When unsure, ask one clarifying question, then execute." Default OpenClaw is polite but vague. Fix that. Steal these. Your agent will thank you.

NotebookLM 早晚被你们玩到收费 🤣

Here are 10 anti-brainrot websites you should try: 1. Project Gutenberg: Free access to thousands of classic books for deep, distraction-free reading. 🔗 gutenberg.org 2. Farnam Street: Distils timeless mental models and ideas to help people think better and make smarter decisions. 🔗 fs.blog 3. Longreads: Handpicked high-quality long-form articles that actually make you think. 🔗 longreads.com 4. Coursera: University-level courses that upgrade your thinking instead of numbing it. 🔗 coursera.org 5. LessWrong: Sharp discussions on logic, decision-making, and cognitive biases. 🔗 lesswrong.com 6. Aeon: Thought-provoking essays on science, philosophy, and society. 🔗 aeon.co 7. Internet Archive: Massive archive of books, videos, and knowledge across decades. 🔗 archive.org 8. Internet Encyclopedia of Philosophy: Clear, structured breakdowns of complex philosophical ideas. 🔗 iep.utm.edu 9. MIT OpenCourseWare: Full access to real MIT lectures and materials for serious learning. 🔗 ocw.mit.edu 10. Open Culture: Curated free courses, books, and documentaries in one place. 🔗 openculture.com

The single most important thing you can do in today's world is to stop operating from the old paradigm. If you need to be told what to do next (go to school, get a job, retire at 65) the outcome of your life will always be in someone else's hands. You must learn how to direct your own work. You must learn how to tolerate and mitigate risk and uncertainty. You must figure out what you want and teach yourself everything necessary to get it. It's extremely difficult, but not as difficult as the silent suffering people learn to accept as "normal."

𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 𝗿𝗲𝗴𝗿𝗲𝘁 𝗻𝗼𝘁 𝘁𝗮𝗸𝗶𝗻𝗴 𝗶𝗻 2025 Google Introduction to Generative AI imp.i384100.net/N9MEJb Google Prompting Engineering imp.i384100.net/55vzG3 Google AI Essentials imp.i384100.net/GKM1k9 Google Crash Course on Python imp.i384100.net/Bnvk9W Machine Learning Specialization imp.i384100.net/N9MEyb Google Cloud Fundamentals imp.i384100.net/Dyvada Google data Analytics: imp.i384100.net/55vz03 Google Cybersecurity Professional Certificate imp.i384100.net/POMnNX Prompt Engineering Specialization imp.i384100.net/JKMPAE AI for Everyone - DeepLearning AI imp.i384100.net/je96ge Become AI Developer imp.i384100.net/LKMdj3 Generative AI Automation lnkd.in/ejyiE55D Deep Learning Specialization imp.i384100.net/je9dG0 Building with LLM imp.i384100.net/e1LZy1 #jobseekers #hiring

"Let me be more aggressive: we are largely better at doing than we are at thinking, thanks to antifragility. I’d rather be dumb and antifragile than extremely smart and fragile, any time." - Nassim Nicholas Taleb

How to build a business in 2025: - Post ideas on social media - Analyze which do the best - Turn them into free downloads - Analyze reception and results - Turn one into digital product/service - Improve until irresistible - Turn into software, physical products, etc Free idea validation, cash flow to do it full time, and a base of potential customers to support the startup you've always wanted to build. Pair it with AI and it's the lowest risk highest reward option.

Truth-seekers take feedback from nature (planes have to fly), free markets (customers have to buy), or competition (militaries have to win). Consensus-seekers take feedback from people (actors want fans, academics want honors, politicians want votes, journalists want status).

It is morning in America again

This is a game-changer announcement by Apple around cryptography. It is the “HTTPS moment for AI” in some ways.. Here is what this means: your private confidential data can be pooled with other data sources and used to securely improve your UX and that of the wider community without even revealing your private data at all: it stays encrypted end-to-end. This is a win-win, a rare non-zero-sum game in technology. For example, consider a picture on your device. It gets converted to vector embeddings (the numbers you see below), then encrypted and sent to the “Homomorphic Encryption” (HE) process running on a server which returns a fully encrypted result back, without decrypting (revealing) the encrypted user private data sent initially - even for it’s own processing. This is search over fully encrypted data! The user gets a notification that the picture region here looks like the Eiffel Tower in this example. Thus this system enables using the network hivemind to securely to improve the UX across so many applications in the time ahead. It will especially benefit AI products which have a direct relationship with end-users as now the standalone tool with access to confidential data can also benefit from network effects for optimal UX. Information wants to be free and mashed together endlessly, and this pushes in that direction. cc @AravSrinivas @sama -> FHE is a key enabling technology over a 5 year horizon. This is how you leapfrog Google.

MORE TAX MORE GOVERN AND LESS LIBERTY

Is there anybody care about this?

The only things standing between where you are and where you want to be is belief, skill, and knowledge. Beliefs can be changed, skills can be trained, and knowledge can be acquired, but few people care about having a rich life. They find pleasure in the pain of staying the same.