Tags, decorators, UI updates, and major documentation improvements
Calculators, and standard library improvements, and experimental imports
While working on Squiggle, we’ve encountered many technical challenges in writing probabilistic functionality with Javascript. Some of these challenges are solved in Python and must be ported over, and some apply to all languages. We think the following tasks could be good fits for others to tackle. These are
Private Models and UI improvements
A free new platform for writing and sharing Squiggle code
A much better editor and viewer, function annotations, and lots more
This post was originally published on Nov 2020, on LessWrong. We’re moving this document here, to centralize our writing in one place. This piece is meant to be read after Squiggle: An Overview . It includes technical information I thought best separated out for readers familiar with coding. As such,
This post was originally published on Nov 2020, on LessWrong. We’re moving this document here, to centralize our writing in one place. I’ve spent a fair bit of time over the last several years iterating on a text-based probability distribution editor (the 5 to 10 input editor in
A short presentation from 2020 about a very early version of Squiggle
tl;dr: I present relative estimates for animal suffering and 2022 top Animal Charity Evaluators (ACE) charities. I am doing this to showcase a new tool from the Quantified Uncertainty Research Institute (QURI) and to present an alternative to ACE’s current rubric-based approach. Introduction and goals At QURI, we’
New functions, ESM Modules, a better Playground editor, several fixes
In the second half of 2022, we announced the Squiggle Experimentation Challenge and a $5k challenge to quantify the impact of 80,000 hours' top career paths. For the first contest, we got three long entries. For the second we got five, but most were fairly short. This post