Co-CEO @yutori_ai. yutori.com. Previously: Senior Director, GenAI & FAIR at Meta, Associate Professor at Georgia Tech.
San Francisco, CA
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Today we’re introducing Navigator n2. It’s a frontier computer-use model, with just 27B parameters.
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Congrats @Jerr_Wu and team! 🚀
Today we're excited to announce @HalluminateAI's $30M Series A led by @oakhcft with participation from @YCombinator, @orangecollectv, @FTPartners, @heavybit, and more.
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Devi Parikh retweeted
Thanks to @hi_angelinayang and Two Set AI for having me on yesterday! I shared how we trained N2, our latest frontier-level computer-use model
Recording is up if you’re curious about the recipe!
piped.video/watch?v=BB0CaklB…
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Devi Parikh retweeted
Tomorrow, 10am PT: Skanda Vaidyanath from Yutori on how they trained Navigator n2, a 27B computer-use model that leads 4 of 5 industry benchmarks at $1.46 per task.
Free, live, with Q&A. luma.com/1bj2munj
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Devi Parikh retweeted
1/ Computer-use agents ≠ GUI agents.
Clicking is only one way to use a computer.
The best agents will code, call tools, use the CLI, and click—using everything a computer provides, and choosing the right interface for each step.
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I haven’t been crocheting as much. And most of it has been very satisfying discs of varying sizes and colors. But this one I am excited about!
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Computer-use in 2026
"What's left? The obvious answer is longer tasks. More steps, more hours. An agent that clicks for longer.
I think this is the wrong answer, ..."
"They can code. They can click. They can't choose."
"Choosing has to be trained, and it can only be trained where it matters."
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Frontier models: $13 to $40+ per task on OSWorld 2.0.
Yutori's Navigator n2: $1.46. 🎯
Served on Crusoe by a 14-person team with no inference stack of their own.
"Because Crusoe maximizes throughput, every token costs less." - @DhruvBatra_, @yutori_ai
↪ crusoe.ai/resources/customer…
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Devi Parikh retweeted
What are some Mac-specific tasks you'd like to see demoed? I'm in the midst of experimenting w/ n2 CUA local & welcome any ideas.
n2 can drive your Mac!
Use Yutori's MCP to run our latest Navigator computer-use model locally.
Here it is in iMovie, cutting a quick video recap from our recent event.
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n2 can drive your Mac!
Use Yutori's MCP to run our latest Navigator computer-use model locally.
Here it is in iMovie, cutting a quick video recap from our recent event.
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Horsepower helped us communicate the value add of a new technology (steam engines) relative to a familiar status quo (workhorses).
What's that unit of measurement for agents?
Excited to have my Mousepower talk live on @aiDotEngineer's YT channel (link below), but I have retrospective thoughts on this topic & here is what I'd change if I gave the talk again today:
1. Thesis wasn't stated simply enough: value of agents is limited by our ability to measure them, otherwise we can't justify the ROI of their token cost
2. Need an explicit connection to the discourse on verifiable domains, which we need not be limited to today's set as understanding customer mental models unlocks new ways to verify value (e.g. horsepower)
3. After reading a nice post by @jon_stokes on verifiable domains, I'm specifically interested in the n-order F/X of their "optimization pressure"
4. Also rambled too much, perhaps a function of the topic being too underbaked... will see if GPT voice can coach me for next time
Follow up incoming (someday).
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I asked @Muse to scan my email and tell me what it has learnt about me. One of the things it concluded was I am a snacks enthusiast. 💯 ✅
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A friend introduced me to junk journaling earlier this year. Turns out, I really like sticking flat things onto other flat things!
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Neat to be on the Top 100 Women in AI 2026 list and part of this picture along with so many familiar faces from different phases and slices of my professional life :)
🙏
womenaibuilders.org/top-100-…
P. S. Took me a while to spot me :)
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Highly recommend trying out nendo.world/.
I got this one made to see what I think of the quality, and I love it! I have now ordered several more. Several of my friends have also ordered a few.
Think your own art, your children's drawings, figurines of your loved ones doing their favorite things.
So much potential for delight!
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