Welcome to my home page!
Ciro Santilli's fork of ARC-DSL merging all pull requests needed to make tests run again on Ubuntu 25.04.
This interesting repo defines a set of input transformations that can be composed together into programs to generate the solve ARC problems.
It does not appear to have any program synthesis: it only defines the DSL and then provides manual solutions to the problems.
The README is lacking as usual, an overview of the files is:
- dsl.py: defines the transformations as Python functions
- solvers.py: defines solvers for the 400 ARC-AGI-1 training problems
Intended usage to run the solvers seems to be:Unfortunately this blows up on Ubuntu 25.04 on
git clone https://github.com/fchollet/ARC-AGI
cd ARC-AGI
git checkout 399030444e0ab0cc8b4e199870fb20b863846f34
git clone https://github.com/michaelhodel/arc-dsl
cd arc-dsl
git checkout 635de4902a5fb4e376f27333feaa396d3f5dfdcb
python main.pytest_mpapply apparently due to a Python 3.12 issue and the pull request github.com/michaelhodel/arc-dsl/pull/7 has been ignored for more than one year, so the project is largely dead.The rich guy behind Tufa Labs:
- github.com/pinouchon
- pinouchon.github.io
- www.youtube.com/benjamincrouzier He's also a wooden block fanatic. Funnily Ciro Santilli had seen his channel before knowing he was rich. www.youtube.com/watch?v=5HyYyXHSW74 shows probable home and could likely be geolocated.
- tufalabs.ai/team.html describes how he made his money:
Benjamin has a masters in Computer Science and applied ML to quant finance previously.
I've created a quick fork of ARC-DSL which defines a hand crafted Domain Specific Language (DSL) approach to help solve ARC-AGI problems.
I basically just merged outstanding pull requests on the original repo that were needed to make things run.
It would be cool to see if those rules also solve ARC-AGI-2 problems well, but lazy now.
ARC-AGI-2 is a very interesting benchmark which mixes some symbolic and other visual elements, and is readily solvable by non-expert humans, but has so far resisted transformers to a large degree.
Part of me would like to focus more on less visual aspects of AI, but it is still of interest.
It is funny how many early (semi)-retired fintech/bigtech bros that are interested in the project, I saw several of them on the forums.
I'd be tempted if I were in that position too I must confess. Maybe in 15 years time for me the way things are looking.
Kudos to these people who do something cool and open when they don't need money: www.reddit.com/r/Fire/comments/15x4w7r/comment/jx7dn16/ It is also the case of Jimmy Wales from Wikipedia for example, who used to work in finance.
New Zealand Flag Debate by
. Source. Why New Zealand Fired its Official Wizard by Qxir
. Source. Pinned article: Introduction to the OurBigBook Project
Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
Intro to OurBigBook
. Source. We have two killer features:
- topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculusArticles of different users are sorted by upvote within each article page. This feature is a bit like:
- a Wikipedia where each user can have their own version of each article
- a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.
Figure 1. Screenshot of the "Derivative" topic page. View it live at: ourbigbook.com/go/topic/derivativeVideo 2. OurBigBook Web topics demo. Source. - local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
Figure 3. Visual Studio Code extension installation.
Figure 4. Visual Studio Code extension tree navigation.
Figure 5. Web editor. You can also edit articles on the Web editor without installing anything locally.Video 3. Edit locally and publish demo. Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.Video 4. OurBigBook Visual Studio Code extension editing and navigation demo. Source. 
- Infinitely deep tables of contents:
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact