Next Newsletter

Next Newsletter

723 bookmarks
Custom sorting
The Matrix Arcade
The Matrix Arcade
A Visual Explorable of Matrices and Linear Transformations
·yizhe-ang.github.io·
The Matrix Arcade
Important stuff most people get wrong
Important stuff most people get wrong
Gapminder Worldview Upgrader - Get rid of your misconceptions about global development!
·upgrader.gapminder.org·
Important stuff most people get wrong
gmailr 2.0.0
gmailr 2.0.0
gmailr 2.0.0 streamlines the auth process and makes it easier to use gmailr in a cloud or deployed context.
·tidyverse.org·
gmailr 2.0.0
Miami, Austin or Denver: Where Would Your Paycheck Go Further?
Miami, Austin or Denver: Where Would Your Paycheck Go Further?
Billionaires know they are. Low-wage workers are very well aware that they aren’t. But vast swaths of America’s “regular rich” don’t feel that way, and it’s keeping everybody down.
·bloomberg.com·
Miami, Austin or Denver: Where Would Your Paycheck Go Further?
Date Me Directory
Date Me Directory
Date Me Docs are long-form, earnest dating profiles for serious romantic partners.
·dateme.directory·
Date Me Directory
The other greenhouse gas
The other greenhouse gas
How methane from food waste contributes to global warming and why small efforts to stop it can make a big difference.
·reuters.com·
The other greenhouse gas
TweetNLP
TweetNLP
·tweetnlp.org·
TweetNLP
[98] Evidence of Fraud in an Influential Field Experiment About Dishonesty - Data Colada
[98] Evidence of Fraud in an Influential Field Experiment About Dishonesty - Data Colada
This post is co-authored with a team of researchers who have chosen to remain anonymous. They uncovered most of the evidence reported in this post. These researchers are not connected in any way to the papers described herein. *** In 2012, Shu, Mazar, Gino, Ariely, and Bazerman published a three-study paper in PNAS (.htm) reporting...
·datacolada.org·
[98] Evidence of Fraud in an Influential Field Experiment About Dishonesty - Data Colada
The People in The Food Apps
The People in The Food Apps
Examining food delivery platforms & why you should care about them.
·thedivtagguy.com·
The People in The Food Apps
Safe for Swimming?
Safe for Swimming?
America's beaches are favorite places to relax ... when the water is safe. Where is water pollution harming our ability to enjoy the beach? And what can we do to stop it?
·environmentamerica.org·
Safe for Swimming?
danswer-ai/danswer: Ask Questions in natural language and get Answers backed by private sources. Connects to tools like Slack, GitHub, Confluence, etc.
danswer-ai/danswer: Ask Questions in natural language and get Answers backed by private sources. Connects to tools like Slack, GitHub, Confluence, etc.
Ask Questions in natural language and get Answers backed by private sources. Connects to tools like Slack, GitHub, Confluence, etc. - danswer-ai/danswer: Ask Questions in natural language and get A...
·github.com·
danswer-ai/danswer: Ask Questions in natural language and get Answers backed by private sources. Connects to tools like Slack, GitHub, Confluence, etc.
Llama 2 - Meta AI
Llama 2 - Meta AI
Llama 2 — The next generation of our open source large language model, available for free for research and commercial use.
·ai.meta.com·
Llama 2 - Meta AI
(1) A comparative study among CSV, feather, pickle, and parquet for loading/saving data | LinkedIn
(1) A comparative study among CSV, feather, pickle, and parquet for loading/saving data | LinkedIn
Introduction In computer science, extract, transform, load (ETL) is a three-phase process where data is extracted, transformed, and loaded into an output data container. Nowadays, data is growing exponentially and taking up a lot of space on our data storage devices, such as hard disk drives (HDD) a
·linkedin.com·
(1) A comparative study among CSV, feather, pickle, and parquet for loading/saving data | LinkedIn
The workers at the frontlines of the AI revolution
The workers at the frontlines of the AI revolution
The global labor force of outsourced and contract workers are early adopters of generative AI — and the most at risk.
·restofworld.org·
The workers at the frontlines of the AI revolution
Introducing Superalignment
Introducing Superalignment
We need scientific and technical breakthroughs to steer and control AI systems much smarter than us. To solve this problem within four years, we’re starting a new team, co-led by Ilya Sutskever and Jan Leike, and dedicating 20% of the compute we’ve secured to date to this effort. We’re looking for excellent ML researchers and engineers to join us.
·openai.com·
Introducing Superalignment