Log inSign up
Mobius Labs
420 posts
Mobius Labs profile banner
@Mobius_Labs

Mobius Labs

@Mobius_Labs
Multimodal AI for the world's scale. Proponents of Open Source and Open Intelligence. mobiusml.github.io/blog/ for some of our recent work.
Berlin, Germany
mobiuslabs.com
Joined April 2018
213
Following
3,287
Followers
RepliesRepliesRepostsRepostsMediaMediaArticlesArticles

Log in or sign up for X

See what’s happening and join the conversation

Continue with phone
or
Log in with username or email
Terms·Privacy·Cookies·Accessibility·Ads Info·© 2026 X Corp.
  • Pinned
    @Mobius_Labs
    Mobius Labs
    @Mobius_Labs
    Oct 23, 2025
    @Dropbox is acquiring our IP, and the Mobius core tech team is joining them. A huge milestone for us!
    Image
    With Mobius Labs' Aana models, we're bringing deeper multimodal understanding to Dropbox Dash
    From dropbox.tech
    2
  • @Mobius_Labs
    Mobius Labs
    @Mobius_Labs
    Dec 3, 2025
    If you’re at @EurIPSConf this week and looking for your next ML role, ping us. Few of us from @Dropbox including @mobicham @appughar will be there Happy to chat about roles in multimodal, search, and video-AI.
    @Mobius_Labs
    Mobius Labs
    @Mobius_Labs
    Nov 21, 2025
    Replying to @Mobius_Labs
    Looking for people with experience in : Building and scaling multimodal ML systems, Retrieval, ranking, and creative search problems, Turning prototypes into polished products 🌍 Remote (Germany or Denmark) Apply here: jobs.dropbox.com/listing/7384405 (Please use the link, not DMs!)
  • @Mobius_Labs
    Mobius Labs
    @Mobius_Labs
    Nov 21, 2025
    We are looking for a Machine Learning Engineer (IC3) to join our Multimedia AI team at Dropbox! You’ll work on the ML behind Dropbox Dash, building real multimodal search experiences across images, video, and text — and ship things that millions of people actually use.
    1
  • @Mobius_Labs
    Mobius Labs
    @Mobius_Labs
    Jun 27, 2025
    FP4 weights meets high accuracy: Logit‐distillation bias correction for MXFP4 & NVFP4. On Llama-3.1-8B recovers ≥99% relative quality. Details at: mobiusml.github.io/fp4_blogpost/
    1
  • @Mobius_Labs
    Mobius Labs
    @Mobius_Labs
    May 13, 2025
    GemLite now supports @vllm_project vllm V1, which brings up to 1.25x faster inference speed vs V0!
    Image
    Release v0.4.6 · dropbox/gemlite
    From github.com
    1
Advertisement
Advertisement