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Simon is 7 years old in this video. Simon's game is online at:

Simon turned Daniel Shiffman's Evolutionary Steering Behaviors Coding Challenge into a game in Processing (Java) and then also in JavaScript (with p5).

In the videos below Simon shows how he made the game. It's an ecosystem type of genetic algorithm (with no generations), where the organisms (autonomous steering agents) clone themselves. The autonomous steering agents evolve the behavior of eating food (green dots) and avoiding poison (red dots). Simon added two invaders into the game, one giving food and the other randomly spreading poison. The player can control the "good" invader by moving him and making new food. The goal of the game is to make the agents survive for as long as possible.

Continued from:

Version in Java:

Daniel Shiffman's Coding Challenge:

Simon is 8 in this video.

Today (March 19, 2018) is one of the most beautiful days in Simon's life: NYU Associate Professor and the creator of Coding Train Daniel Shiffman has been Simon's guarding angel, role model and source of all the knowledge Simon has accumulated so far (in programming, math, community ethics and English), and today Simon got to meet him for the first time in real life!

Simon is 8 in this video.

Simon worked out this formula using the traditional formula for the Zeta Function. He's not not sure it's new (he says he's even sure it's not new) but he has worked this out on his own (and partially by memorizing Mathologer's video about the subject).

Simon is 8 in this video. He worked out this formula using the quadratic formula.

Simon is 8 in this video.

Simon shows his Times Tables Visualization in Processing (Java) and talks about how it's connected to Mandelbrot Set. You can view the video with the full visualisation here: See Simon's code with the README on GitHub: Simon writes: This is a visualization for the times tables from 1 to 200 (including the in-between numbers that are multiples of .01).

Simon is 8 years old in this video and is working on a Recurrent Neural Network in Python that is going to be character-based, predicting the next character. More about the project:

Simon is 8 in this video and has just finished working on his first library, Speechjs. You can find Simon's library on GitHub: Simon also added a reference page at: You can use this library for any project that uses speech recognition and/or speech synthesis.

Simon is 7 years old in this video. Simon talks about Linear Regression with Gradient Descent algorithm and how the learning works. Based upon Daniel Shiffman's tutorial 3.4 on Intelligence and Learning. Simon also made an interactive webpage about Gradient Descent at: and More about Simon's Linear Regression playlist and webpages in our blog at

Simon is 9 in this video. This is the third video in Simon's short series Infinities Driving You Mad. In this episode, Simon takes us into the strange world of inaccessible numbers. "People are just going to click this video and not notice that they're going to be mad after they watched it", Simon comments.

This is part of Daniel Shiffman's livestream hosted by GROW Le Tank in Paris on 6 January 2019 about KNN, machine learning, transfer learning and image recognition. Daniel kindly allowed Simon to take the stage for a few minutes to make a point about image compression (the algorithm that Daniel used was sort of a compression algorithm).

Simon is 9, it’s his first public performance in front of a large audience. (Speaking at the Processing Community Day in Amsterdam on February 9, 2019).