Nicholas

@Jason I’m in

We started an AI founder twitter group... reply with "I'm in" if you're a founder and want to be added

@vulturetrades $SPY

Just made a free private X group where I’ll drop my next 5–10x setup. Completely free. I don’t charge for access. I make money trading. I will also be mentoring 100 followers that join and helping them make their first million in 2026. Comment “$SPY” to be added (Must be following to join)

@vulturetrades Count me in

You know what I’m restarting the $100 to $10,000 challenge. I want everyone to have a fair shot at this. Last time it took me about 7 days, will try to do it faster this time. If you want to follow along, comment below to join Going to lock comments in 24 hours

@vulturetrades Count me in

Starting a fresh $100 —> 10,000 challenge. Last time it took me about 7 days, will try to do it faster this time. If you want to follow along, comment below to join Going to lock comments in 24 hours

UC Berkeley's "Machine Learning" lecture notes PDF: people.eecs.berkeley.edu/~jrs/papers/ma…

[Download 1048-page PDF eBook] #Mathematics for Computer Science: courses.csail.mit.edu/6.042/spring18… from @MIT @MIT_CSAIL ————— #ComputerScience #Algorithms #ComputationalScience

@RobinhoodApp Thank you for making investing easier than ever :)

It’s almost the holidays and you deserve a gift. Comment below and we may send you some merch.

Buy 12 Mac Minis, go into debt if you have to

@AravSrinivas Dia

Wrong answers only

@CoverBuffalo Send me the link bro

Who needs Streameast?! Way better streams out there, hasn’t buffered once lol

@KenyanSays Don’t have to worry about this if you have a Tesla 👍

That Engine is done!

@NicholasPas5 Where Superman??

This is the holy trinity of superheroes no debate argue with a wall

@FearedBuck I got the Bernie’s version, what determines which version you get? Is it randomly selected once you play the episode?

There are 2 different versions of this Black Mirror episode 👀

There’s an enormous difference between great engineers using AI and randomly trying to one-shot everything.

a playlist of 30 youtube videos to learn machine learning fundamentals from scratch if you're struggling on where to start learning ML, this list goes this "Machine Learning: Teach by Doing" is a solid choice to learn both theory and code. (1) Introduction to Machine Learning Teach by Doing: lnkd.in/gqN2PMX5 (2) What is Machine Learning? History of Machine Learning: lnkd.in/gvpNSAKh (3) Types of ML Models: lnkd.in/gSy2mChM (4) 6 steps of any ML project: lnkd.in/ggCGchPQ (5) Install Python and VSCode and run your first code: lnkd.in/gyic7J7b (6) Linear Classifiers Part 1: lnkd.in/gYdfD97D (7) Linear Classifiers Part 2: lnkd.in/gac_z-G8 (8) Jupyter Notebook, Numpy and Scikit-Learn: lnkd.in/gWRaC_tB (9) Running the Random Linear Classifier Algorithm in Python: lnkd.in/g5HacbFC (10) The oldest ML model - Perceptron: lnkd.in/gpce6uFt (11) Coding the Perceptron: lnkd.in/gmz-XjNK (12) Perceptron Convergence Theorem: lnkd.in/gmz-XjNK (13) Magic of features in Machine Learning: lnkd.in/gCeDRb3g (14) One hot encoding: lnkd.in/g3WfRQGQ (15) Logistic Regression Part 1: lnkd.in/gTgZAAZn (16) Cross Entropy Loss: lnkd.in/g3Ywg_2p (17) How gradient descent works: lnkd.in/gKBAsazF (18) Logistic Regression from scratch in Python: lnkd.in/g8iZh27P (19) Introduction to Regularization: lnkd.in/gjM9pVw2 (20) Implementing Regularization in Python: lnkd.in/gRnSK4v4 (21) Linear Regression Introduction: lnkd.in/gPYtSPJ9 (22) Ordinary Least Squares step by step implementation: lnkd.in/gnWQdgNy (23) Ridge regression fundamentals and intuition: lnkd.in/gE5M-CSM (24) Regression recap for interviews: lnkd.in/gNBWzzWv (25) Neural network architecture in 30 minutes: lnkd.in/g7qSrkxG (26) Backpropagation intuition: lnkd.in/gAmBARHm (27) Neural network activation functions: lnkd.in/gqrC3zDP (28) Momentum in gradient descent: lnkd.in/g3M4qhbP (29) Hands on neural network training in Python: lnkd.in/gz-fTBxs (30) Introduction to Convolutional Neural Networks (CNNs): lnkd.in/gpmuBm3j

Great engineers wielding AI is so much more than vibecoding

The design pattern behind consciousness and the human body is Model View Controller.

@dawnposts Depth First Search

@tailwiinder “Let’s remove the dev because they keep causing bugs”

Of course let's remove the file that's causing issues, Claude. What a lovely idea.

Cursor Rules make you a 10x vibe coder. This simple repo gives you precise rules / prompts for different languages and frameworks (Tauri, React, Chrome extensions) that make your AI generated code in Cursor far better.