Victoria X Lin

@VictoriaLinML

MTS @thinkymachines | Native Multimodal Intelligence Prev: @AIatMeta @SFResearch • PhD @uwcse

San Francisco Bay Area

victorialin.org

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Victoria X Lin
@VictoriaLinML
Jul 16
Inkling is a 975B-41B(A) MoE model that natively reasons across modalities (text, images and audio). It is intelligent and versatile🌱. I’ve had so much fun building it alongside an incredible team over the past few months and proud to openly share this work.
Thinking Machines
@thinkymachines
Jul 15
Today, we are introducing Inkling. Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available. thinkingmachines.ai/news/introduci… Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵
Made with AI
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Victoria X Lin
@VictoriaLinML
Aug 30
🧡 Love seeing the open-source spirit spread to robotics and embodied AI development!
Thomas Wolf
@Thom_Wolf
Aug 27
We have a huge news to share today! Today we are unveiling the first truly accessible RL robot - welcome Microduck A 25 cm tiny open-source biped with 15 actuators and packed with sensors (camera, speaker, LiDAR, NFC, bluetooth, wifi, etc) that you train yourself with
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Victoria X Lin
@VictoriaLinML
Aug 22
🪄 We invite you to try Inkling’s agentic performance on OpenRouter
Thinking Machines
@thinkymachines
Aug 21
We want to improve Inkling’s agentic performance. To help us understand its real-world behavior, we are making it available for free on OpenRouter (only with agentic harnesses) for the next few weeks, starting now. We’ll use the data, disassociated from accounts, to better it.
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Victoria X Lin
@VictoriaLinML
Jul 7
If you're excited about efficient parallel reasoning 🧠⚡ in LLMs, don't miss the ThreadWeaver paper presentation at #ICML2026. 🗓️Oral: Thu, Jul 9, 2026 • 10:15 AM – 10:30 AM KST 🗓️Poster: Thu, Jul 9, 2026 • 2:30 PM – 4:15 PM KST 📎 threadweaver-parallel.github.io Feel free to reach
Long Lian
@LongTonyLian
Jul 6
ThreadWeaver 🧵⚡️ is accepted for an oral presentation at #ICML2026 🎉 ThreadWeaver achieves faster reasoning end-to-end though multiple reasoning agents efficiently working together. Come to our talk at Thursday, Jul 9, 10 AM and poster at 2:30 PM!
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Victoria X Lin
@VictoriaLinML
Jul 3
The video of my Stanford CS25 guest lecture, From Language Models to Native Multimodal Intelligence, is now online. I discussed how the core ideas behind LLMs has shaped multimodal AI, from architectures to training paradigms and scaling, and where the next challenges may lie.
Stanford CS25: Transformers United V6 I From Language Models to Native Multimodal Intelligence
From youtube.com
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