Andrew Ng just released a 2-hour course on full Graph Engineering.
How to go from one prompt to 100 agents that loop, rewrite themselves, and run without you:
09:14 - Build your first AI agent
33:11 - Run agents with loop engineering
1:02:46 - Turn agent loops into graphs
1:30:15 - Build agents that rewrite themselves
1:49:05 - Run the full graph system without you
Most people are still building one agent and calling it done.
Andrew Ng is already teaching everything after:
Prompt → Agents → Loops → Graphs → Self-Improving Systems
Single agents are the old workflow.
Systems that improve and run without you are the new one.
This 2-hour watch is worth more than most $500 agent engineering courses.
Bookmark and watch it before everyone catches up.
Then read how to run 1,000 agents from one prompt below ↓
Anthropic and Andrew Ng built an agent that uses 90% fewer tokens from scratch:
they dropped the entire book of Frankenstein into a prompt - 108,000 tokens asked one question
the input dropped from 108,000 tokens to 11
here's how:
step 1 → put everything that never changes at the top - tools, then system, then docs
step 2 → mark where the static part ends. everything above it gets cached
step 3 → one stray space breaks it - and you pay full price again
step 4 → the cache dies in 5 min - every read resets the clock
step 5 → cached tokens don't count against your rate limits. free headroom
most people never touch this - it pays for itself on day one
watch & bookmark - this 1-hour brilliant course ↓
I can't go back to the regular YouTube UI after this 😅
Obsidian Reader now makes the transcript interactive so you can scrub, highlight, auto-scroll. It feels so nice.
how to use obsidian + claude code to build a 24/7 personal operating system and build your startup:
1. write everything in markdown (daily notes, projects, beliefs, people, meetings)
2. link your notes together so they mirror how your brain actually thinks.
3. install obsidian cli so claude code can read your entire vault + the relationships.
4. stop reexplaining projects every session. use reference files instead.
5. build custom slash commands:
/context → load your full life + work state
/trace → see how an idea evolved over months
/connect → bridge two domains you’ve been circling
/ideas → generate startup ideas from your vault
/graduate → promote daily thoughts into real assets
6. keep a strict rule: human writes the vault. agents read it, suggest, execute.
7. let claude aka clode surface patterns you’ve been unconsciously circling for years.
8. delegate from inside your notes. one sentence in obsidian → agent handles the rest.
9. treat writing as leverage.the more you write, the more context your agents have.
10. understand this:markdown files are the oxygen of llms.
i really enjoyed seeing how to use obsidian thanks to @internetvin
vin uses ai like a thinking partner wired into his life’s work.
99.99% of people won’t do this because it requires reflection + setup.
but once the vault exists, the agent stops being generic.
it starts thinking in your voice.
episode is live on @startupideaspod (more there)
this one is different. send this tweet to a friend.
im still processing how game changer obsidian + claude code is, maybe you too
watch
The Best YouTube Channels To Escape Tutorial Hell 👇🏻
1. Real Coding – freeCodeCamp
2. Build Projects – Coding Garden
3. Real Apps – JavaScript Mastery
4. Fullstack Builds – Traversy Media
5. Dev Logs – Fireship
6. Practical AI – Nicholas Renotte
7. Debugging – Low Level Learning
8. Backend Reality – Hussein Nasser
9. System Thinking – ByteByteGo
10. Ship Fast – Theo (t3dotgg)
11. Build in Public – Danny Postman
12. Indie Hacking – Pieter Levels
13. Startup Dev – Y Combinator Startup School
14. Product Thinking – The Futur
In 1927, a researcher sat in a Berlin café and saw something strange.
The waiter could recite 20 unpaid orders from memory. Every dish. Every table.
The moment the bill was paid, he forgot all of it.
It's why cliffhangers work. Why a song you couldn't finish stuck in your head for days.
Why you remember your unfinished projects more than the ones you shipped.
For 98 years, it built Netflix's cliffhangers, TikTok's feed, and Duolingo's $6B streak empire.
In 2025, scientists checked the receipts.
Half of it was wrong.
New blackboard lecture w @reinerpope
How do chips actually work – starting with basic logic gates, and working up to why GPUs, TPUs, FPGAs, and the human brain each look the way they do.
0:00:00 – Building a multiply-accumulate from logic gates
0:16:20 – Muxes and the cost of data movement
0:25:59 – How systolic arrays work
0:39:00 – Clock cycles and pipeline registers
0:51:40 – FPGAs vs ASICs
1:03:14 – Cache vs scratchpad
1:07:16 – Why CPU cores are much bigger than GPU cores
1:11:49 – Brains vs chips
1:15:22 – A GPU is just a bunch of tiny TPUs
Look up Dwarkesh Podcast on YouTube/Spotify/etc to watch. Enjoy!
You need to read more, and you need to consume less. You need to set aside time to do a workout for the mind, and you need to give it time to recover. Especially now that it's so easy for your cognitive capacity to atrophy. Refuse to become mentally obese.
🚨 BREAKING: Passive studying is dead!
Claude can train your brain harder than most professors ever will.
Here are 10 Claude prompts to learn anything 10× faster 👇