hyperintelligence for humanity
Joined January 2024
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Pinned Tweet
31 Oct 2025
We're excited to announce MultiNet v1.0 - the first cross-domain benchmark for multimodal AI systems.
Unlike existing evaluations that test models within single domains, MultiNet reveals what happens when AI systems encounter the full complexity of real-world tasks.
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Jun 5
Fig wants to directly support researchers working on foundationally new takes on frontier models - targeting hard problems like long horizon multi-environent action.
Reach out to contact @ fig . inc if you're working on these or related areas.
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?
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fig retweeted
Loved @pliang279’s #CVPR2026 talk on AI modalities beyond vision/language: touch, smell, etc. The vision-tactile retrieval work reinforces that good representations make hard-to-observe signals queryable. We’re applying a similar lens to trajectories at @figbrains. More soon!
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fig retweeted
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!
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Jun 3
Come meet the Fig team @ CVPR this week, today through Friday!
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!
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fig retweeted
Jun 3
I’ll be at CVPR in Denver, along w/ some brilliant colleagues 🚀
If you’re around anytime over the next few days and interested in computer control or long horizon robotics, please reach out - the @figbrains team is around! We’d love to give a sneak peek at what we’re building.
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!
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fig retweeted
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!
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fig retweeted
28 Nov 2025
Our next Frontiers Talk is on Tuesday, Dec 2 at 12 PM PDT.
@pranavguru13, Founding Research Engineer at @figbrains and lead for MultiNet at Manifold, will walk through how to build the next generation of multimodal benchmarks for functional intelligence.
Register below!
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28 Nov 2025
Get a sneak peek at our work on how to evaluate the next generation of multimodal models!
28 Nov 2025
Our next Frontiers Talk is on Tuesday, Dec 2 at 12 PM PDT.
@pranavguru13, Founding Research Engineer at @figbrains and lead for MultiNet at Manifold, will walk through how to build the next generation of multimodal benchmarks for functional intelligence.
Register below!
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fig retweeted
17 Nov 2025
Our next Frontiers Talk is this Friday, Nov 21 at 12 PM PDT!
@pranavguru13, Founding Research Engineer @figbrains and Research Lead for MultiNet at Manifold, will share how to build the next generation of multimodal benchmarks for functional intelligence.
Register below!
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fig retweeted
31 Oct 2025
Thrilled to share MultiNet v1.0 with the research community - a collaboration between research groups @figbrains, Manifold Research, @GeorgiaTech, and @MIT.
This benchmark reveals critical limitations in how current AI systems generalize across domains. 🧵
31 Oct 2025
We're excited to announce MultiNet v1.0 - the first cross-domain benchmark for multimodal AI systems.
Unlike existing evaluations that test models within single domains, MultiNet reveals what happens when AI systems encounter the full complexity of real-world tasks.
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402
31 Oct 2025
We're excited to announce MultiNet v1.0 - the first cross-domain benchmark for multimodal AI systems.
Unlike existing evaluations that test models within single domains, MultiNet reveals what happens when AI systems encounter the full complexity of real-world tasks.
1
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31 Oct 2025
The benchmark includes comprehensive evaluations of GPT-5, OpenVLA, Pi0, Magma, and other leading models - with open-source adaptations enabling testing on tasks far outside their original design.
Results show even our most advanced models struggle with true generalization.
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31 Oct 2025
We're grateful to work w/ research teams @ManifoldRG @GeorgiaTech and @MIT
Explore the benchmark: multinet.ai and let us know what you think!
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30 Oct 2025
A key question that keeps popping up in the course of our research is “What new scaling laws will we uncover?”
excited to share a brief preview of our early perspectives as we explore a new kind of phenomena we are calling “interaction laws”.
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