The cheat code to life is to be interested.

Stan Druckenmiller turned $900k into $12bn through 30% returns for 30 years with no down years and only 3 down quarters despite multiple crises, including the Savings & Loans Crisis, Black Monday, Black Wednesday, the Asian Financial Crisis, the Dot-com Bubble burst, and the

Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task — MIT Media Lab media.mit.edu/publications/y…

If you want to learn ML/AI, I've put together a roadmap! I've vetted many learning resources over the years and these are my favorite—and they're all free! The roadmap walks you through: - Programming basics - Math prereqs - Dev tools - ML fundamentals - Advanced ML topics -

My summary of the year in AI

the big thesis for the next decade plus is AR/VR throughline to the interactive metaverse similar to how Iphone kickstart mobile, and make the internet actually useful and global

MEV has the same characteristics as social media ads and I dont know how to feel about it

if you a crypto payment company, can you like hook it up to NYT or Business Insider so that I can pay-per-article in a single click, please?

the future of payment is in the metaverse, where i can buy an item for less than 1cent. once you get everyone to be comfortable with the fast finality of the underlying system, then expand it towards commerce and digital cross border B2B. you can't create habit without volume

shouldve bought 2k worth of popcat when i had the chance man ffs

the only 2 trades that i like coming up is probably syrup and ethfi. but you gonna need more catalyst to push I dont like tokenization as a trade, simply because its a efficiency improvement trade vs market expansion. The best trades have always been market expansion.

This book is brilliant! It's a fun way to learn and explore maths with Python. This is exactly the way I learnt ML and neural networks back in my PhD days.

A few things I enjoyed reading as we head into the new year Dan Wang’s Annual Letter: These are always great, but I appreciated this one even more after reading his book Breakneck this year. Which you should also do if you haven’t. Lots of great insights on how China and the US

One of the best math books I've ever read: MIT's "Mathematics for Computer Science" Its writing style is brilliant, and it covers everything: - Linear algebra - Series - Logic - Probability - Number theory - Graphs You can find the PDF here:

the growth vision was easier to see, esp during DeFi summer/ Compound craze. Most of that vision more or less has been realized today, along w failed experiments in NFTs/ memecoins as consumer vehicle. most DeFi experiment now is trying to squeeze the same base, not expnding.

the notion of Finance essentially means trading time/skills for money is not as effective as the capital itself compunds, which means one-directional and power will squeeze out everything else, but also applying a ceiling into the current state.

most of the world that have below $500/month don't need defi tho. They need better tools to make more money

we need crypto embedded in a VR set that makes 50c payment fun, ion even want to type in my cc bro