GitHub
Article
GitHub is a recurring organization in the Astral Codex Ten archive, appearing 4 times across 4 issues between February 03, 2022 and October 20, 2025. The archive places it in contexts such as “See the project github page for the code”; “I publish on GitHub”; “check out the GitHub repo (tinyurl.com/2p8w4jbe)“. It most often appears alongside London, ACX, Alexander Putilin.
Metadata
- Category: Organizations
- Mention count: 4
- Issue count: 4
- First seen: February 03, 2022
- Last seen: October 20, 2025
Appears In
Related Pages
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- London (3 shared issues)
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- ACX (2 shared issues)
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- Alexander Putilin (2 shared issues)
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- Bitcoin (2 shared issues)
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- Boston (2 shared issues)
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- effective altruism (2 shared issues)
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- Germany (2 shared issues)
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- Google (2 shared issues)
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- Harvard (2 shared issues)
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- India (2 shared issues)
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- Khan Academy (2 shared issues)
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- Montreal (2 shared issues)
External Links
Source Context
Recovered passages from the original issue text. When the raw archive preserved outbound links inside the source passage, they are listed directly under the quote.
#29: Present An Open-Source Python Library For Monte Carlo Techniques At the heart of all serious forecasting is a statistical tool known as Monte Carlo analysis. It allows you to quantify uncertainty by introducing randomness to the inputs of computational models and looking at the range of results. If you want a good example, you might recognize Monte Carlo techniques from Nate Silver’s election forecasts at 538. It's been a gold-standard throughout my career in the space industry, and I can attest to how powerful it is - I've used it to successfully send a rocket to Mars. However, there aren't any tools out there that make it easy for researchers to take their existing models and wrap a Monte Carlo around it. So, I wrote one. It's an open-source python library which I'm calling "monaco". I'm at a point in development where the basic feature set is complete and working well, and I'm looking to finish up the extended roadmap in the next few months. See the project github page for the code, examples, and a lot more info: https://github.com/scottshambaugh/monaco. I’m looking for $1000 to help me present version 1.0 of this tool to the scientific community at the 2022 SciPy Conference in Austin, TX this summer. That amount should cover conference fees, hotel, and airfare, and if you're feeling generous I could use additional funds for some external monitors and cloud compute time. My name is Scott Shambaugh, and if you’re interested in helping fund this please email me at wsshambaugh AT gmail.com. Thank you!
#61: Hobby Research On Universal Darwinism I'm Peotr Zagubisalo. For some years I tried to make progress in a hobby research task within Universal Darwinism and Open-Ended Evolution research programs (different points of view) -- Open-ended natural selection of interacting code-data-dual algorithms as a property analogous to Turing completeness github.com/kiwi0fruit/ultimate-question/blob/master/articles/oens_of_algorithms.md -- The simplest artificial life model with open-ended evolution as a possible model of the universe. Open-endedness means that the evolution doesn't stop on some level of complexity but can progress further to the intelligent agents github.com/kiwi0fruit/ultimate-question/blob/master/README.md -- Novelty emergence mechanics as a core idea of any viable ontology of the universe github.com/kiwi0fruit/ultimate-question/blob/master/articles/novelty.md -- After I failed to make a progress in creating mathematical model and got burned out I switched to once a year as enthusiasm builds up writing promotional articles that I publish on GitHub and Reddit. Or I write directly to people who might be interested. THE GOAL IS TO FIND ANOTHER ACTIVE RESEARCHER FOR THIS TASK. With sufficient monthly funding, I will be motivated and will write promo significantly more often. It should be more than ~$150 to have it as a must-have hobby. My Patreon: https://www.patreon.com/peotrzagubisalo This research direction is interesting for people as seen in this Reddit post https://www.reddit.com/r/compsci/comments/97s8dl
#120: Tool To Develop Arguments In Parallel I've been working on a tool that facilitates an argument where two competing theories are developed in parallel in an iterative manner. The goal of the process is: (1) to produce a pair of coherent arguments that stand on their own instead of a long chain of correspondence which can be difficult to follow; (2) to ensure that all relevant counterarguments are addressed, or in the case their not, to make it easy for the reader to notice this; (3) to provide the debaters an opponent to spar with from the start which should result in sounder arguments; and finally (4) to be more feasible than adversarial collaboration since the elusive goal of converging views need not be met. I can't seek funding via Grants++ for legal reasons. But if you're otherwise interested, check out the GitHub repo (tinyurl.com/2p8w4jbe) or the LessWrong post (tinyurl.com/2s3z7ct8) and feel free to contact me (mat5n@outlook.com).
The code is now published on Github. If you own an EEG headset and experiment with the code, your feedback will be greatly appreciated.
Inline links: Github
The code for the project is available on Github. The results will be published on my psychotechnology Substack.
Inline links: available on Github