Sean J. Taylor (@seanjtaylor) 's Twitter Profile
Sean J. Taylor

@seanjtaylor

Data Science at @OpenAI. Formerly @MotifAnalytics @Lyft and @Facebook. Keywords: Experiments, Causal Inference, Statistics, Machine Learning, Economics.

ID: 20963651

linkhttps://seanjtaylor.com calendar_today16-02-2009 04:55:26

18,18K Tweet

44,44K Followers

4,4K Following

Sean J. Taylor (@seanjtaylor) 's Twitter Profile Photo

It would be difficult to invent such a bizarre failure of leadership putting Oakland at grave risk, but here we are. Worth a read to understand the financial challenges we are facing.

Sean J. Taylor (@seanjtaylor) 's Twitter Profile Photo

It's been frustrating to watch as Oakland struggles with basic fiscal issues, which is why I'm voting "YES" for the mayor recall. There's a pretty compelling case for doing so (see this Op-Ed), and none of the counterarguments I've read address the substance of her performance.

Palladium Magazine (@palladiummag) 's Twitter Profile Photo

It is time to build a gargantuan, self-assembling space telescope that will allow us to see distant alien planets in as much detail as we see the Moon. SpaceX-driven decreases in cost to orbit make this possible. Read the new article by Casey Handmer, PhD here: palladiummag.com/2024/10/18/its…

John Horton (@johnjhorton) 's Twitter Profile Photo

This is interesting. The company A/B testing imperative (to guide decisions) might create a more reliable empirical 'literature' than the academic imperative (to publish papers)

Sean J. Taylor (@seanjtaylor) 's Twitter Profile Photo

Looking for talks for the Data Science & Algorithms track I'm hosting at Data Council next year. It's in Oakland April 22-24th. Submit your talk proposal here: datacouncil.ai/cfp-2025 It's a fun/friendly conference w/ an amazing lineup, hope to be reading your submission soon!

Gagan Biyani 🏛 (@gaganbiyani) 's Twitter Profile Photo

Empower Oakland has had 100,000+ views of it's voter guide since September. And another 100,000 via mail. There are 250k registered voters in Oakland. And this is our first cycle! Thanks for all the support everyone.

Sixty-Six Wards (@sixtysixwards) 's Twitter Profile Photo

At the end of work, the tracker has crossed 2016 turnout. Is that right? Am I full of shit? Let's find out together! As always, these last submissions are critical for our final estimate. Keep them coming to bit.ly/sixtysixturnout

At the end of work, the tracker has crossed 2016 turnout. Is that right? Am I full of shit? Let's find out together!

As always, these last submissions are critical for our final estimate. Keep them coming to 
bit.ly/sixtysixturnout
Joanne Jang (@joannejang) 's Twitter Profile Photo

🔪 chatgpt refusals & warnings 🙅‍♂️🙅‍♀️ has chatgpt ever refused to give you what you want for no good reason? or reasons you disagree with? please let us know and we'll do our best to fix it!

Martin Huber (@causalhuber) 's Twitter Profile Photo

Just submitted the final proofs of my new book, Impact Evaluation in Firms and Organizations, set to be published by The MIT Press @mitpress.bsky.social this summer! Compared to my first book, #CausalAnalysis, it’s shorter, less technical, and focused on business applications. Here’s the table of contents

Just submitted the final proofs of my new book, Impact Evaluation in Firms and Organizations, set to be published by <a href="/mitpress/">The MIT Press @mitpress.bsky.social</a> this summer! Compared to my first book, #CausalAnalysis, it’s shorter, less technical, and focused on business applications. Here’s the table of contents
Andrey Fradkin (@andreyfradkin) 's Twitter Profile Photo

This is a really great idea. A missing link in the economic impacts of AI world is translating scaling laws and model improvements into economic value improvements (WTP metrics). This is a first step.

Yiqing Xu (@xuyiqing) 's Twitter Profile Photo

We streamlined six new DID-like estimators and created this tutorial for implementation in R. yiqingxu.org/packages/fect/… Hope you no longer need to spend months figuring out what these estimators are and how to use them. w/ Ziyi Liu

We streamlined six new DID-like estimators and created this tutorial for implementation in R. 
yiqingxu.org/packages/fect/…

Hope you no longer need to spend months figuring out what these estimators are and how to use them. 

w/ <a href="/liuziyi233/">Ziyi Liu</a>
Heavybit (@heavybit) 's Twitter Profile Photo

🔓 We've got exclusive "behind the scenes" with this year's Data Council committee. Tune into Jesse Robbins' interview with Data Science & Algorithms track host Sean J. Taylor of OpenAI 👇🏼 heavybit.com/library/articl…

Heavybit (@heavybit) 's Twitter Profile Photo

Join Heavybit’s Jesse Robbins (Jesse Robbins) and Sean Taylor (Sean J. Taylor) of OpenAI for this exclusive sneak peek of the Data Science & Algorithms Track at this year’s Data Council. Hear how data science is evolving, why experimentation is more vital than ever, and how

Heavybit (@heavybit) 's Twitter Profile Photo

More than just talks, Data Council is where data scientists come to connect, learn, and validate their work. In this exclusive interview, hear how Sean Taylor (Sean J. Taylor) thinks about building a track that serves both early career folks and seasoned pros. 🎧

More than just talks, <a href="/DataCouncilAI/">Data Council</a> is where data scientists come to connect, learn, and validate their work. In this exclusive interview, hear how Sean Taylor (<a href="/seanjtaylor/">Sean J. Taylor</a>) thinks about building a track that serves both early career folks and seasoned pros.
🎧
Michelle Pokrass (@michpokrass) 's Twitter Profile Photo

beyond excited to release the gpt-4.1 family today! these models are really our love letter to developers: more of a focus on real world usage and utility, and less on benchmarks (although those turned out pretty great too).