More than half of all agent activity focuses on cognitive work. Agent use is dominated by Productivity & Workflow (36% of queries) and Learning & Research (21%). Users rely on the assistant to think through something, synthesize findings, and take action on those learnings.
MARKET TRENDS
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Agent Query Patterns: Personal, Professional, and Educational Use Cases
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Most agent queries come from personal use (55%), followed by professional (30%) and educational (16%) contexts. New users often start with low-stakes questions like travel or trivia. Over time, they shift to more complex topics like productivity, learning, and career advice.
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Dense Models Beat MoE: Western AI Companies Strategic Shift
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It's a big macro trend shift as they revert back to old dense models, while still comparable or better than MoE baselines. "Leak" because the big Western companies figured it out a while ago, letting the OSS community & China go down the MoE path — notably more complex + ~worse
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Major MCP Milestone Achieved After One Year
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Huge step for MCP. It's always insane to remember that MCP has been around for only ~one year.
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Resemble AI’s DETECT-3B Omni: Multimodal Deepfake Detector
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Calling it now, this will be the industry standard Deepfake Detector. @resembleai AI released the first multimodal deepfake detector “DETECT-3B Omni” yesterday.
— AI Breakfast (@AiBreakfast) 9 décembre 2025
Audio, video, images. 98% accuracy.
$13M strategic funding, backed by Google. pic.twitter.com/AxLyZ7dQCLCalling it now, this will be the industry standard Deepfake Detector. @resembleai AI released the first multimodal deepfake detector “DETECT-3B Omni” yesterday. Audio, video, images. 98% accuracy. $13M strategic funding, backed by Google. 
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Open-Source Models Shift AI Differentiation to Expertise
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When powerful open-source models are accessible to all, differentiation shifts from the technology you choose to the expertise you build into them.@Konstantine Buhler, Partner at @sequoia, joins Kari Briski, VP of Generative AI Software for Enterprise at NVIDIA, to unpack how… pic.twitter.com/x4jiiE5hN2
— NVIDIA AI (@NVIDIAAI) 8 décembre 2025When powerful open-source models are accessible to all, differentiation shifts from the technology you choose to the expertise you build into them. @Konstantine Buhler, Partner at @sequoia
, joins Kari Briski, VP of Generative AI Software for Enterprise at NVIDIA, to unpack how -
Cost of AI analyzing X lists: $25 per 5000 posts
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How expensive is it to have AI analyze all my lists here on X? Turns out some of my lists get two new posts every second. It costs $25 to pull 5,000 posts from one list using @xAI
's new API. So it gets expensive quick. When I saw the first reports that @blevlabs
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AI Ecosystem Enters Next Chapter with Open Models
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The AI ecosystem is entering its next chapter, defined by open models, new applications, and unprecedented demand. Episode 1 kicks off our five-part recorded series from the #NVIDIAGTC Washington, D.C. Keynote Pregame Show, where leading founders and investors share how they see
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Unconventional AI raises $475M seed round at $4.5B valuation
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👀 Techmeme (@Techmeme) Unconventional AI raised a $475M seed led by a16z and Lightspeed at a $4.5B valuation to build a more energy-efficient AI computer, part of an up to $1B round (@rachelmetz / Bloomberg) bloomberg.com/news/articles/… techmeme.com/251208/p19#a251… 📥 Send tips! techmeme.com/contact — https://nitter.net/Techmeme/status/1998046963200041311#m
→ View original post on X — @rachelmetz, 2025-12-08 17:50 UTC