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title: Resources | ||
date: 2024-01-26 | ||
hide: true | ||
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*This is a curated list of links to resources on the Internet we found helpful along the way.* | ||
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## Education and Theory | ||
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**Entropy (for data science) Clearly Explained!!!** *(StatQuest)* Youtube video explaining surprisal and entropy. [[Link]](https://www.youtube.com/watch?v=YtebGVx-Fxw) | ||
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**Information content** *(Wikipedia)* Article on surprisal (= information content). Well-written and provides some useful intuitions. [[Link]](https://en.wikipedia.org/wiki/Information_content) | ||
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**Neural Networks: Zero to Hero** *(Andrej Karpathy)* Course on neural networks. [[Link]](https://karpathy.ai/zero-to-hero.html) | ||
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**Probability Monad** *(github/jliszka)* Scala library to play around with probability distributions. Especially interesting to explore the implementation of a distribution as a monad. [[Link]](https://github.com/jliszka/probability-monad) | ||
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**Bayesian Networks and Causality** *(Jason Liszka)* Great to get a good understanding of the concept of causality in probability theory. [[Link]](https://blog.jliszka.org/2013/12/18/bayesian-networks-and-causality.html) | ||
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**How Hacker News ranking really works: scoring, controversy, and penalties** *(Ken Shirriff)* Explanation of the Hacker News ranking algorithm. Still relevant, even though the article is old. [[Link]](https://www.righto.com/2013/11/how-hacker-news-ranking-really-works.html) | ||
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**How Not To Sort By Average Rating** *(Evan Miller)* Famous article about the pitfalls of ranking elements with ratings. [[Link]](https://www.evanmiller.org/how-not-to-sort-by-average-rating.html) | ||
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**Bayesian Average Ratings** *(Evan Miller)* Article on how to use Bayesian averaging to sort by ratings. [[Link]](https://www.evanmiller.org/bayesian-average-ratings.html) | ||
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**Causality for Machine Learning** Free course discussing causality in the context of machine learning. [[Link]](https://ff13.fastforwardlabs.com/) | ||
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**A frequentist approach to probability** *(Jason Liszka)* Walk-through on building a probability monad from scratch. Very good to build intuitions around probability. Provocative reading if you think in a Bayesian way. [[Link]](https://blog.jliszka.org/2013/08/12/a-frequentist-approach-to-probability.html) | ||
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**Polis Knowledge Base** List of explanations and resources provided by pol.is. Note that many links don't seem to work anymore, but there are still many useful ones. [[Link]](https://compdemocracy.org/knowledge-base/) | ||
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**Network Science** *(Albert-Laszló Barabási)* Free course on network science. [[Link]](http://networksciencebook.com/) | ||
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**Emergence of Scaling in Random Networks** *(Albert-Laszló Barabási and Réka Albert)* Famous paper on a random network model with preferential attachment. Insights on self-organization in complex networks. Short read. [[Link]](https://arxiv.org/abs/cond-mat/9910332) | ||
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**Polis: Scaling Deliberation by Mapping High Dimensional Opinion Spaces** Paper on the technology behind pol.is. They use PCA and dimenionality reduction techniques to infer an opinion space informally (i.e., without explicit mapping of arguments). [[Link]](https://www.demdis.sk/content/files/2022/11/Polis-manusript.pdf) | ||
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**Bridging-Based Ranking** *(Aviv Ovadya)* Explanations and background on bridging-based ranking. [[Link]](https://www.belfercenter.org/publication/bridging-based-ranking) | ||
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**Bridging Systems** Resources on bridging-based ranking. Links to a paper with an in-depth explanation and discussion of briding-based ranking. [[Link]](https://bridging.systems/) | ||
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**Understanding Bridge-Based Ranking** *(Jonathan Warden)* Explanation of the bridging-based ranking algorithm. [[Link]](https://jonathanwarden.com/understanding-bridge-based-ranking/) [[Hacker News discussion]](https://news.ycombinator.com/item?id=38939660) | ||
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**What do I think about Community Notes?** *(Vitalik Buterin)* Explanation on and opinions about Community Notes. [[Link]](https://vitalik.eth.limo/general/2023/08/16/communitynotes.html) | ||
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**'Generative CI' through Collective Response Systems** *(Aviv Ovadya)* Working paper on collective response systems and how they could enable "Generative Collective Intelligence". [[Link]](https://arxiv.org/abs/2302.00672) | ||
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**Distributed Bayesian Reasoning Introduction** *(Jonathan Warden)* Discussion of how Bayesian reasoning could work on a collective level to achieve collective intelligence. [[Link]](https://jonathanwarden.com/distributed-bayesian-reasoning-introduction/) | ||
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## Articles | ||
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**Social Protocols** *(Joseph M. Reagle Jr.)* First use of the term "social protocol" that we know of (mid to late 90s). [[Link]](https://www.w3.org/Talks/980922-MIT6805/SocialProtocols.html) | ||
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**Collective Intelligence Design Challenges** *(Canonical Debate Lab, CDL)* Write-up on collecive intelligence systems. [[Link]](https://canonicaldebatelab.com/cidesign/) | ||
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**How to hack Hacker News (and consistently hit the front page)** Interesting write-up on how someone tried gaming the Hacker News algorithm. Exemplifies the kind of thinking you need to understand incentives in algorithmic content curation. [[Link]](https://www.indiehackers.com/post/how-to-hack-hacker-news-and-consistently-hit-the-front-page-56b4a04e12) | ||
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**The Quiet Death of Ello's Big Dreams** Cautionary tale about the decline of Ello, a social network for creatives. [[Link]](https://waxy.org/2024/01/the-quiet-death-of-ellos-big-dreams/) [[Hacker News discussion]](https://news.ycombinator.com/item?id=39043871) | ||
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**Why Twitter was right to replace stars with hearts, and why you hate it** *(Joscha Bach)* Tongue-in-cheek discussion of Twitter's replacement of stars by hearts. Interesting to think about semantics of buttons. Discussion of global brain vision at the end. [[Link]](http://bach.ai/twitter-replaces-stars-with-hearts/) | ||
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## Talks | ||
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**Simple Made Easy (video)** *(Rich Hickey)* Talk on how and why to build simple systems. [[Link]](https://www.youtube.com/watch?v=LKtk3HCgTa8) | ||
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## Other Projects | ||
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**Community Notes Guide** Introductory articles on X's community notes (formerly known as Birdwatch). [[Link]](https://communitynotes.twitter.com/guide/en/about/introduction) | ||
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**News Minimalist** Filter large amounts of news articles for the most relevant ones. Uses an LLM-powered relevance score. [[Link]](https://www.newsminimalist.com/) | ||
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**Twitter's Recommendation Algorithm** High-level overview of X's recommendation algorithm. [[Link]](https://blog.twitter.com/engineering/en_us/topics/open-source/2023/twitter-recommendation-algorithm) [[Hacker News discussion]](https://news.ycombinator.com/item?id=35391433) | ||
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**Metaculus** Crowd-sourcing forecasts on real events. [[Link]](https://www.metaculus.com/) [[Hacker News discussion]](https://news.ycombinator.com/item?id=36740385) | ||
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**Pol.is** Mapping debates with an informal argument model. Focus groups at scale. Has been used in digital democracy experiments in Taiwan. [[Link]](https://pol.is/home) |