1. X
  2. DatologyAI
Log inSign up
DatologyAI
230 posts
Image
user avatar
DatologyAI
@datologyai
DatologyAI builds tools to automatically select and optimize the best data on which to train AI models, leading to better, smaller models which train faster.
Redwood City, CA
datologyai.com
Joined September 2023
10
Following
3,085
Followers
AffiliatesAffiliatesRepliesRepliesMediaMedia

New to X?

Sign up now to get your own personalized timeline!

Create account

By signing up, you agree to the Terms of Service and Privacy Policy, including Cookie Use.

Terms·Privacy·Cookies·Accessibility·Ads Info·© 2026 X Corp.
Don't miss what's happening
People on X are the first to know.
Log inSign up
  • user avatar
    DatologyAI
    @datologyai
    15h
    This week's Summer of Data talk is live. Thanks to Furong Huang @furongh (Associate Professor at the University of Maryland) for stopping by to talk about building self-improving foundation models, models that can detect, explain, and recover from their own failures, and why
    Image
    00:00
    1.9K
    user avatar
    DatologyAI
    @datologyai
    15h
    Full Talk:
    203
  • user avatar
    DatologyAI
    @datologyai
    Jul 8
    This week's Summer of Data talk is live. Thanks to Syeda Nahida Akter @__SyedaAkter (CMU → NVIDIA) for coming by to talk about front-loading reasoning: teaching a model to reason during pretraining, not just after, and why that head start compounds. Full talk in the reply.
    Image
    00:00
    2.7K
    user avatar
    DatologyAI
    @datologyai
    Jul 8
    Full Talk:
    Image
    Syeda Nahida Akter | Front-Loading Reasoning: Why Reasoning Data Belongs in Pretraining
    From youtube.com
    305
  • user avatar
    DatologyAI
    @datologyai
    Jul 7
    The hottest release at ICML isn’t just another dataset—it’s our newest fidget spinner. We’ve upgraded this year’s design, and they’re waiting for you at the DatologyAI booth. If you’ve been collecting them throughout the year, you know the drill: gotta catch ’em all. Stop by,
    Image
    Image
    3.5K
  • DatologyAI reposted
    user avatar
    Ari Morcos
    DatologyAI
    @arimorcos
    Jul 6
    Just landed in Seoul for #ICML2026! Please reach out if you're interested in chatting about all things data, from filtering to scaling to synthetic, or if you'd like to learn more about working with us @datologyai to understand the fundamental principles of data curation!
    3.1K
  • user avatar
    DatologyAI
    @datologyai
    Jun 30
    Bogdan Gaza @hurrycane on what it takes to run a 20T-token data pipeline, live at @aiDotEngineer. Booth U-G3 to go deeper.
    Image
    2.2K
  • user avatar
    DatologyAI
    @datologyai
    Jun 30
    "If you choose your data correctly, you can bend the scaling laws. Data curation is the lever." @arimorcos live at @aiDotEngineer right now. Missed it? Come talk data quality at Booth U-G3.
    Image
    1.3K
  • user avatar
    DatologyAI
    @datologyai
    Jun 30
    Today at @aiDotEngineer. Two talks from the DatologyAI team: "Data Quality is the Compute Multiplier," Ari Morcos, 10:45am, Room 2016 "Running a 20T-Token Data Pipeline," Bogdan Gaza, 3:20pm, Expo Stage 3 SE. Booth U-G3 all day. @arimorcos @hurrycane
    Image
    516
  • user avatar
    DatologyAI
    @datologyai
    Jun 29
    This Tuesday at The AI Engineer World’s Fair in SF @aiDotEngineer, our co-founder & CEO @arimorcos takes the Data Quality stage for the keynote. "Data Quality is the Compute Multiplier": why better quality training data drives a better model with the same compute. Tue 6/30, 10:45
    Image
    2.7K
  • user avatar
    DatologyAI
    @datologyai
    Jun 26
    The first talk from the Summer of Data 2026 is live. Thanks to Konwoo Kim and Suhas Kotha (Stanford) for stopping by to talk about synthetic megadocs and squeezing more out of training compute. Full talk in the reply. @konwookim @kothasuhas
    Image
    00:00
    3.6K
    user avatar
    DatologyAI
    @datologyai
    Jun 26
    Full seminar talk here:
    429
  • user avatar
    DatologyAI
    @datologyai
    Jun 26
    Summer of Data is back for 2026. We invite researchers to our office to talk to our team about their work on data and model training, and then we post the talks so you can watch. Speakers from Stanford, MIT, NVIDIA, CMU, NYU, UMD, Tübingen, Wisconsin, and more. We are posting a
    Image
    1.4K
    user avatar
    DatologyAI
    @datologyai
    Jun 26
    Check the blog for updates each week:
    Image
    🌞 Summer of Data Seminar 2026: Deep in Data Research
    From datologyai.com
    469
    user avatar
    DatologyAI
    @datologyai
    Jun 26
    Or follow our YouTube channel
    Image
    youtube.com
    DatologyAI
    At DatologyAI, we are focused on building the world’s best platform for automated data curation at petabyte scale, helping customers to train models faster, to better performance, and enabling...
    311
  • user avatar
    DatologyAI
    @datologyai
    Jun 25
    New @datologyai research: 35× cheaper per correct answer through pretraining data curation alone. No parameter reduction or decoding tricks required. 🧵 A million correct answers cost ~$1.34 from our curated 4B, and ~$47 from verbose Qwen3.5-4B. Same answers.
    Image
    Image
    01:20
    user avatar
    Matthew Leavitt
    DatologyAI
    @leavittron
    Jun 25
    What if you could induce models to be more concise via pretraining data curation?
    1.4K
    user avatar
    DatologyAI
    @datologyai
    Jun 25
    Replying to @datologyai
    Thoughful pretraining curation allows the model to learn to be concise, so brevity is built into the weights, not bolted on at decode time.
    198
    user avatar
    DatologyAI
    @datologyai
    Jun 25
    📄 Paper: arxiv.org/abs/2606.25432 📝 Blog: datologyai.com/blog/brevity-i… Join us: datologyai.com/careers Become a customer: datologyai.com/contact
    126
  • user avatar
    DatologyAI
    @datologyai
    Jun 22
    The "you can only catch up by distilling from a frontier model" narrative is wrong. We curated the data for @Arceeai's Trinity Large entirely from public sources, zero closed-model APIs, and it's competitive with the open frontier. Better data does the work.
    Image
    00:00
    1.2K
    user avatar
    DatologyAI
    @datologyai
    Jun 22
    Full episode:
    281
Advertisement
Advertisement