tweetindex

EleutherAI

@AiEleuther · joined 23 Aug 2022

A non-profit research lab focused on interpretability, alignment, and ethics of AI. Creators of Pythia, VQGAN-CLIP, and using SAEs for interp

28 740Followers
105Following
951Posts total
231.8KViews on collected posts

Against accounts of the same size

7 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views4 567this account2 578median for 10K–100K
Reach, %15.89%this account7.77%median for 10K–100K
Engagement, %0.52%this account1.47%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post4 5672 5781.77×
Reach (views ÷ followers)15.89%7.77%2.05×
Engagement rate0.52%1.47%0.35×

Others in this range →   Compare with another account →   How these benchmarks are built →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

182.7K6 Jun
4.6K29 Jul
2.8K
2.9K4 Aug
14.5K10 Aug
2.9K
14.7K21 Aug
6.8K22 Aug

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.47%6 Jun
0.61%29 Jul
0.11%
0.48%4 Aug
0.40%10 Aug
0.52%
0.95%21 Aug
1.06%22 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.47%.

What the audience does

Likes57.5%902 in total
Reposts13.1%206 in total
Replies2.2%34 in total
Quotes2.7%42 in total
Bookmarks24.5%385 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Latest posts

AI2 models 🤝 EleutherAI interp tooling Open science 6.8K views · 60 likes · 7 reposts · 5 replies 22 Aug 2026 What kinds of training data shape different model capabilities? A @GeorgiaTech team used our fully open model flow to trace Olmo’s performance on social/general reasoning and social-science/STEM knowledge tests back to the types of text it trained on. 🧵 https://t.co/qrPoTrdj2B 14.7K views · 113 likes · 20 reposts · 3 replies 21 Aug 2026 Don’t miss our latest collaboration with @huggingface on building more open data! 2.9K views · 14 likes · 1 reposts · 0 replies 10 Aug 2026 Are open OCR models good enough to unlock historical knowledge? @vanstriendaniel and I built a leaderboard to find out: 14 open models scored on 2,165 expert-transcribed pages from @BioDivLibrary. Meet FineBooks, from @huggingface and @AiEleuther! https://t.co/cKTAxpy7oJ 14.5K views · 39 likes · 16 reposts · 1 replies 10 Aug 2026 Frontier models are quite scary and dangerous, but hoping that powerful offensive capabilities are not used for ill is foolish. Open sharing of tooling and info is the bedrock of cybersec, and we are proud to be a part of a collation working to use AI to improve the ecosystem. ht 2.9K views · 10 likes · 2 reposts · 1 replies 04 Aug 2026 Wonderful to see this work start to take off! 2.8K views · 3 likes · 0 reposts · 0 replies 29 Jul 2026 🚀 Exciting to see Evaluating Evaluations in the media! Over the past weeks, our initiative has been featured by both @IBMResearch and @mozilla, highlighting the importance of evaluations for measuring AI progress. 📖 Mozilla: https://t.co/tHnvYEx2gk 1/3 4.6K views · 21 likes · 3 reposts · 2 replies 29 Jul 2026 Can you train a performant language models without using unlicensed text? We are thrilled to announce the Common Pile v0.1, an 8TB dataset of openly licensed and public domain text. We train 7B models for 1T and 2T tokens and match the performance similar models like LLaMA 1&amp 182.7K views · 642 likes · 157 reposts · 22 replies 06 Jun 2025

Similar accounts