Blog Updated 2025-07-16
E-learning website Updated 2026-08-07
Generally, if something is labelled as "e-learning", it's not a good sign, as it implies that it adheres to the "teacher"/"student" separation which Ciro Santilli much despises: E-learning websites must allow students to create learning content.
Mailing list Updated 2025-07-16
It boggles Ciro Santilli's mind that people use mailing list to collaborate on projects!
The only explanation is that the dinosaurs who created the projects are unable to adapt to new superior technologies.
Yes, Ciro is talking to you, big fundamental projects from last century: Linux kernel, GNU Compiler Collection (gcc.gnu.org/lists.html), Binutils (sourceware.org/binutils/), etc.
Some of you are already using Bugzilla for the bugs, so kudos. But if you've seen their benefit, why you still use the mailing list for patches?
Advantages of mailing lists:
Disadvantages: everything else:
Not sure:
  • you can have infinitely many trackers to replicate data in case apocalypse happens in some part of the world.
    Although I'm not sure this is an advantage, as you don't know anymore which one is the canonical trackers an advantage, as you don't know anymore which one is the canonical tracker.
    And all web interfaces already have an API to export messages, and someone has already scripted it to import from any web UI to any web UI for you.
    And GitHub offers infinite precise history transparently on its API.
Review site Updated 2025-07-16
Web page Updated 2025-07-16
Wiki Updated 2025-07-16
YouTube Updated 2025-07-16
Ciro Santilli publishes videos of this not-so-common visual programming experiments on his YouTube channel occasionally: www.youtube.com/c/CiroSantilli. Ciro should however not be lazy and also upload each video produced to Wikimedia Commons, since YouTube does not offer a download option even for videos marked with a Creative Commons license: www.quora.com/Can-I-download-Creative-Commons-licensed-YouTube-videos-to-edit-them-and-use-them/answer/Tarmo-Toikkanen!
This is also where Ciro's downtime converged to in his early 30's, since he long lost patience for stupid video games and television series.
Ciro developed one interesting technique: while scrolling through YouTube's useless recommendations, when he understands what a channel is about, he either immediately:
  • subscribes if it is amazing and then "Don't recommend channel"
  • otherwise just "Don't recommend channel" immediately
This helps to keep this feed clean of boring stuff he already knows about. There is unfortunately an infinite amount of useless videos out there however on the topics of:
and no matter how much you say you don't want to hear about them, YouTube juts keeps on sending more.
Things Ciro hates about YouTube:
  • you can't follow or ignore a subject, only indirectly tell the algorithm about that. Once you click a popular cat video, you will be forced to watch cat videos for all eternity.
Bought by Google in 2006.
Video 1.
YouTube: From Concept to Hypergrowth Jawed Karim (2006)
Source. YouTube co-founder explains that the key enabling technology for YouTube was the addition of video capabilities to Macromedia Flash 7.
Lorem ipsum Updated 2025-07-16
Figure 1.
Screenshot of the basketball stage of Ciro's 2D continuous game
. Source code at: github.com/cirosantilli/rl-game-2d-grid. Big kudos to game-icons.net for the sprites.
Less good discrete prototype: github.com/cirosantilli/rl-game-2d-grid YouTube demo: Video 1. "Top Down 2D Continuous Game with Urho3D C++ SDL and Box2D for Reinforcement learning by Ciro Santilli (2018)".
Video 2.
Top Down 2D Discrete Tile Based Game with C++ SDL and Boost R-Tree for Reinforcement Learning by Ciro Santilli (2017)
Source.
The goal of this project is to reach artificial general intelligence.
A few initiatives have created reasonable sets of robotics-like games for the purposes of AI development, most notably: OpenAI and DeepMind.
However, all projects so far have only created sets of unrelated games, or worse: focused on closed games designed for humans!
What is really needed is to create a single cohesive game world, designed specifically for this purpose, and with a very large number of game mechanics.
Notably, by "game mechanic" is meant "a magic aspect of the game world, which cannot be explained by object's location and inertia alone" in order to test the the missing link between continuous and discrete AI.
Much in the spirit of gvgai, we have to do the following loop:
  • create an initial game that a human can solve
  • find an AI that beats it well
  • study the AI, and add a new mechanic that breaks the AI, but does not break a human!
The question then becomes: do we have enough computational power to simulation a game worlds that is analogous enough to the real world, so that our AI algorithms will also apply to the real world?
To reduce computation requirements, it is better to focus on a 2D world at first. Such world with the right mechanics can break any AI, while still being faster to simulate than a 3D world.
The initial prototype uses the Urho3D open source game engine, and that is a reasonable project, but a raw Simple DirectMedia Layer + Box2D + OpenGL solution from scratch would be faster to develop for this use case, since Urho3D has a lot of human-gaming features that are not needed, and because 2019 Urho3D lead developers disagree with the China censored keyword attack.
Simulations such as these can be viewed as a form of synthetic data generation procedure, where the goal is to use computer worlds to reduce the costs of experiments and to improve reproducibility.
Ciro has always had a feeling that AI research in the 2020's is too unambitious. How many teams are actually aiming for AGI? When he then read Superintelligence by Nick Bostrom (2014) it said the same. AGI research has become a taboo in the early 21st century.
Related projects:
Video 3.
DeepMind Has A Superhuman Level Quake 3 AI Team by Two Minute Papers (2018)
Source. Commentary of DeepMind's 2019 Capture the Flag paper. DeepMind does some similar simulations to what Ciro wants, but TODO do they publish source code for all of them? If not Ciro calls bullshit on non-reproducible research. Does this repo contain everything?
Video 4.
OpenAI Plays Hide and Seek... and Breaks The Game! by Two Minute Papers (2019)
Source. Commentary of OpenAi's 2019 hide and seek paper. OpenAI does some similar simulations to what Ciro wants, but TODO do they publish source code for all of them? If not Ciro calls bullshit on non-reproducible research, and even worse due to the fake "Open" in the name. Does this repo contain everything?
Video 5.
Much bigger simulation, AIs learn Phalanx by Pezzza's Work (2022)
Source. 2d agents with vision. Simple prey/predator scenario.

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