Economics might seem -- from the outside -- like it's about competition. But really it's about creating the miracle of cooperation, where folks from all around the world enrich your day in a million tiny ways. It's that beauty that I'm worried about losing.
11.04.2025 22:16 β π 339 π 77 π¬ 19 π 8
behold the CONNECTED SPLATTERPIE
kneel before my works, ye mighty, and despair
30.03.2025 21:00 β π 394 π 68 π¬ 34 π 23
βResponsible AIβ is a bad word at NIST now.
14.03.2025 23:37 β π 24 π 5 π¬ 2 π 0
Editorial: A president just disrespected America in the Oval Office. It wasnβt Zelensky
Itβs time to say it plainly. Americaβs leadership has switched sides in the war. The American people have not, and they should speak up.
In the past several weeks, the U.S. leadership has demonstrate...
NEW: A searing editorial in the The Kyiv Independent.
βItβs time to say it plainly. Americaβs leadership has switched sides in the war. The American people have not, and they should speak up.
βA president just disrespected America in the Oval Office. It wasnβt Zelensky.β
@kyivindependent.com
28.02.2025 22:45 β π 67706 π 19229 π¬ 1257 π 1039
New paper <3
Interested in inference-time scaling? In-context Learning? Mech Interp?
LMs can solve novel in-context tasks, with sufficient examples (longer contexts). Why? Bc they dynamically form *in-context representations*!
1/N
05.01.2025 15:49 β π 53 π 16 π¬ 2 π 1
Synthetically generated text for supervised text analysis | Political Analysis | Cambridge Core
Synthetically generated text for supervised text analysis
New paper in Political Analysis on synthetic text data for training classifiers. Main idea: generate training examples with LLMs, then fit classifiers on synthetic (+real) text. Paper has validations and guidance.
Blog: andrewhalterman.com/post/synthet...
Paper: www.cambridge.org/core/journal...
31.01.2025 17:07 β π 14 π 4 π¬ 1 π 1
What are some of the things you've learned about how LLMs (and LLM-powered systems like ChatGPT) work that were non-obvious but most helped you build a more effective mental model of how to use them?
04.01.2025 20:40 β π 350 π 31 π¬ 109 π 14
Zero-Cost Custom Feeds on Bluesky
A simple stack for generating custom feeds for Bluesky programmatically without a backend server
Wrote down the process to build your own custom feeds for Bluesky programmatically in Python and run it 100% free
Uses @skyfeed.app + @github.com actions to do periodic filtering and re-ranking and @cloudflare.social static pages to provide data to @bsky.app
01.12.2024 14:42 β π 136 π 25 π¬ 10 π 2
Thereβs something fundamentally wacky going on here. That a) thereβs an arrow of time in language is cool but b) that the magnitude varies a lot between languages? Wacky.
12.02.2024 22:02 β π 22 π 7 π¬ 6 π 1
What's new with ML in production
What's different about LLMs versus traditional ML
New post: Have been meaning to write something around what has fundamentally changed around the process of putting ML into prod now that we have LLMs. TL;DR: It's still just compression, we just don't control as much anymore.
vickiboykis.com/2024/01/15/w...
18.01.2024 20:45 β π 22 π 7 π¬ 1 π 1
Prodigy in 2023: LLMs, task routers, QA and plugins Β· Explosion
We have made a ton of new updates in Prodigy this year with v1.12, v1.13, and v1.14 releases. So we decided to write a post about them.
In 2023, we rolled out Prodigy v1.12-1.14 packed with new features like spacy-llm integration, prompt engineering, QA support like IAA metrics, task routing, and new plugins such as PDF and Hugging Face π€.
We highlight the many updates in our new blog post π
explosion.ai/blog/prodigy...
29.11.2023 15:34 β π 5 π 5 π¬ 1 π 0
The PyData NYC video from "Half hour of labeling power: Can we beat GPT?" by @ryanwesslen.bsky.social & me is now live!
We show how to use LLMs to speed up annotation, collect 1.2k examples & beat our baseline.
πΊ Video: www.youtube.com/watch?v=Ta45...
π Slides: speakerdeck.com/inesmontani/...
27.11.2023 12:09 β π 5 π 3 π¬ 0 π 0
Deck the halls with NLP! @explosion-ai.bsky.social'sπ t-shirts, tot bags, or mugs are sure to bring a touch of skeleton swagger this holiday season
20.11.2023 13:47 β π 6 π 1 π¬ 0 π 0
Hello NYC β¨ Looking forward to seeing everyone at PyData NYC next week!
We'll have an @explosion-ai.bsky.social booth again with brand new swag, and @ryanwesslen.bsky.social & I will start the conf with our tutorial "Half hour of labeling power: Can we beat GPT?": nyc2023.pydata.org/cfp/talk/WQY...
29.10.2023 14:50 β π 4 π 3 π¬ 1 π 0
Announcing β¨Prodigy-HF β¨
It's a new plugin that allows you to train @huggingface.bsky.social NER models directly on annotated data in Prodigy. It also provides a recipe to upload annotations to Hugging Face HUB!
25.10.2023 13:52 β π 5 π 4 π¬ 2 π 1
Interesting attempt to categorize LLM hallucinations (from an international team including Stanford and Amazon) arxiv.org/abs/2310.04988
24.10.2023 12:20 β π 0 π 2 π¬ 0 π 1
We've recently introduced Prodigy Plugins which extend the features of Prodigy by adding direct support for 3rd party integrations. One of these plugins is P...
Prodigy-PDF for PDF annotation and OCR - Prodigy Shorts
I added support for PDFs for Prodi.gy in the past few weeks. So I figured I'd record a small demo.
www.youtube.com/watch?v=rwyz...
If folks are interested in working on detection models for PDFs -> let me know if there's recipes missing!
24.10.2023 15:29 β π 4 π 2 π¬ 0 π 0
I wonder if people can guess what plugin I'll add next to prodi.gy.
23.10.2023 11:32 β π 1 π 1 π¬ 0 π 0
We recently released β¨ Prodigy-ANN β¨ that allows you to use contextual search to find relevant subsets of data to annotate first.
To help explain this new feature, @koaning.bsky.social made a small demo to highlight the new feature π
youtu.be/jyu2nbjwfXw
20.10.2023 13:56 β π 2 π 1 π¬ 1 π 1
Prodigy interface with PDF-Prodigy OCR extension example
The new OCR feature uses Pytesseract under the hood to attach parsed text to segments that you've annotated with the `pdf.image.manual` recipe.
If you want to learn more, the docs have plenty of extra info: π
prodi.gy/docs/plugins...
19.10.2023 12:47 β π 0 π 1 π¬ 1 π 0
An example output of Prodigy's inter-annotator agreement command with annotation and agreement statistics.
Curious if your annotators are on the same page? Prodigy has just released v1.14.3 with built-in inter-annotator agreement (IAA) metrics to track and measure their agreement. In this π§΅, we'll review Prodigy's document-level IAA metrics. prodi.gy/docs/metrics
18.10.2023 14:34 β π 5 π 3 π¬ 1 π 0
Econ professor at Michigan β Senior fellow, Brookings β Intro econ textbook author β Think Like An Economist podcast β An economist willing to admit that the glass really is half full β Find me: https://linktr.ee/justinwolfers
AI Security @ NVIDIA
OSS Security @ Project Jupyter and NumFOCUS
https://developer.nvidia.com/blog/author/jolucas/
Tenure-track faculty at the Max Planck Institute for Software Systems
Previously postdoc at UW and AI2, working on Natural Language Processing
Recruiting PhD students!
π https://lasharavichander.github.io/
PhD candidate at EPFL doing research in #NLProc
π©π»βπ» https://agromanou.github.io/
PhD student @uwnlp.bsky.social
Helping machines make sense of the world. Asst Prof @icepfl.bsky.social; Before: @stanfordnlp.bsky.social @uwnlp.bsky.social AI2 #NLProc #AI
Website: https://atcbosselut.github.io/
First we build Pydantic, next Pydantic Logfire - uncomplicated observability
Researcher on social media misinformation and manipulation, director of the Observatory on Social Media (OSoMe.iu.edu, pronounced βawesomeβ) at Indiana University
PhD Student Stanford w/ Noah Goodman, studying reasoning, discovery, and interaction. Trying to build machines that understand people.
StanfordNLP, Stanford AI Lab
president of @eurasiagroup.net and @gzeromedia.com political scientist, author.
if you're not following some people you dislike, you're doing it wrong. i'm happy to help.
Delivered effective, efficient, and secure digital services for the American people until we were forced to stop on March 1, 2025. Not an official government account. Reposts are not endorsements. Our new website: https://18f.org/ #AltGov
computational cog sci β’ problem solving and social cognition β’ asst prof at NYU β’ https://codec-lab.github.io/
computational cognitive science he/him
UC Berkeley
ScienceHomecoming
http://colala.berkeley.edu/people/piantadosi/
Professor of Natural and Artificial Intelligence @Stanford. Safety and alignment @GoogleDeepMind.
I study how people solve big problems with small brains. Starting at Dartmouth in 2026βI'm recruiting!
https://fredcallaway.com
Tom Griffiths' Computational Cognitive Science Lab at Princeton. Studying the computational problems human minds have to solve.
Language and thought in brains and in machines. Assistant Prof @ Georgia Tech Psychology. Previously a postdoc @ MIT Quest for Intelligence, PhD @ MIT Brain and Cognitive Sciences. She/her
https://www.language-intelligence-thought.net