Manifold Research
502 posts
@ManifoldRG
We're a mission driven R&D institute dedicated to advancing fundamental discoveries and carrying them to real-world impact. https://t.co/ITVo4NcEVP
Would training a computer-control model on data built to target its systematic weaknesses actually make it better? We built new browser-use models to find out - and our research revealed surprising results. Sharing new Models, Dataset, Paper, and Data Pipeline below. This work was done by the @figbrains team in collaboration with @ManifoldRG
Are there any major cos in the space debris cleanup/satellite collision avoidance space? Now that space is a thing, I'm trying to figure out if it makes sense to invest in utilities that have parallels on Earth & how quickly those markets will grow. What else should I look at?
Computer Control models can score 90%+ on standard benchmarks, but will fail when you set page zoom to 70%. We're built GUI-DR, an OS pipeline that can restyle, reposition, and remove DOM elements on real webpages to reveal model weaknesses that fixed-scene benchmarks miss.
This week at #CVPR2026 we presented MultiNet v1.0 at the MMFM workshop. It is a benchmark built around a question most evaluations skip: what happens to a multimodal model when you take it out of the one domain it was trained for and ask it to handle everything at once?
Headed to #CVPR2026! I'll be there on behalf of @figbrains and @ManifoldRG, presenting our research on next-generation multimodal models and evaluation systems. If you're into multimodal models, VLAs, or how we actually evaluate them, come say hi - I'd love to talk!
We built MultiNet v1.0 to test how well frontier models generalize across domains from text to robotics to gameplay and found surprising patterns of failure. We're presenting at the #CVPR2026 MMFM workshop @ 3PM, room Four Seasons 4. Come hear where & how they break!
Join us for our first ever Vision Weekend in the UK! 2026 marks 40 years of Foresight. Over three days, we will gather leading researchers, builders, and funders to look forward: exploring what scientific and technological frontiers will shape the coming decades, and how to make them reality. June 5–7 | London Confirmed speakers include: • Ed Boyden (MIT) on biologically accurate brain simulation • Greg Wayne (Google DeepMind) on universal AI assistants • Jano Costard (SPRIND) on challenges as a tool for breakthrough innovation • Christine Peterson (Foresight Institute) on Foresight, 40 years later • Dorothy Chou (Google DeepMind) on capital for the long game: financing durable innovation in an age of hype • Irina Rish (Mila) on beyond scaling: toward continual and adaptive intelligence • Chris Rozell (Georgia Tech) on closed-loop neuroengineering: algorithms that learn from the brain in real time • Lee Cronin (University of Glasgow) • Mehmet Fisek (Meridial) on Focused Research Organisation mission and setup • Zoë Brammer (Google DeepMind) on AI for science 2030 • João Pedro de Magalhães (University of Birmingham) on hacking aging biology and many more. Get your tickets: foresight.org/events/vision-… Powered by: @apolloaievals @ARIA_research @e184media @CUHPartners @RenPhilanthropy @SPRIND @andnowstudio
