Victoria X Lin

MTS @thinkymachines | Native Multimodal Intelligence

Prev: @AIatMeta @SFResearch • PhD @uwcse

[Victoria X Lin @VictoriaLinML]

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]

Today, we are introducing Inkling.

Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available.

https://t.co/Ghebq5mG30

Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵

[Richard Socher @RichardSocher]

Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.

• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months

Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.

[Stonehenge U.K @ST0NEHENGE]

October Autumnal Milky Way over Stonehenge 🤩 Photo credit Nick Bull 🙏
#MilkyWay #Stonehenge #Astrophotography #NightSky #Wiltshire #Salisbury #UKAstro #LongExposure #StonehengeDronescapes #Stars #StarsEverywhere #october #autumn

[Jeremy Bernstein @jxbz]

We are making lots of improvements to Tinker. Now we have a new optimizer to try out!

[Stonehenge U.K @ST0NEHENGE]

The 2026 Perseid Meteor Shower at Stonehenge tonight ☄️🔥✨Photo Credit Nick Bull 🙏

[Victoria X Lin @VictoriaLinML]

🧡 Love seeing the open-source spirit spread to robotics and embodied AI development!

[Thomas Wolf @Thom_Wolf]

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 reinforcement learning.

It's also playable out of the box with more than half a dozen fun and playful pre-trained policies to have it walk, sit, crouch, roller-skate, pick up objects with its articulated beak, and recover on its own.

And all for less than $400.

See all the details, play with the simulator and order it at: https://t.co/n1Btgs6vKw

(video with sound on 🔊)

[Victoria X Lin @VictoriaLinML]

🪄 We invite you to try Inkling’s agentic performance on OpenRouter

[Thinking Machines @thinkymachines]

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.

[Jeff Dean @JeffDean]

Tomorrow will be my last day at Google after 27 years, and watching it grow from 25 people to 190,000+ has been an amazing journey. Below is a note I shared with many people internally at Google today. An excerpt is:

It has been an absolute pleasure to work with you and to help build some of the most widely used and impactful products of all time. As a kid, I dreamed of helping build software that would be used by many people, and Google now has thirteen products used by more than a billion people (amazing!). Our work has had a tremendous impact in the world, and I have been lucky enough to collaborate and form friendships with many colleagues that I deeply admire, respect, and enjoy. It still brings me joy every time I see people out in the world using our products to find information, handle email, translate documents, watch videos, learn new things, navigate and understand the physical world, browse the web, use their phone, run large-scale computations on our infrastructure, ride in an autonomous vehicle, or perform complex tasks with the help of our AI systems. I hope you all share this sense of joy, because it is a shared accomplishment! Thank you to all of my colleagues at Google over many years!

Now I'm excited to go start @DiscoLoopAI with my longtime friends and colleagues @Sanjay_Ghemawat, @OriolVinyalsML, and @quocleix.

(Updated post: slightly redacted to not have some personal info)

[Victoria X Lin @VictoriaLinML]

@zhngjn805444524 Looking forward to what you find out: https://t.co/TcMOzWUUus

[Victoria X Lin @VictoriaLinML]

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]

Today, we are introducing Inkling.

Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available.

https://t.co/Ghebq5mG30

Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵

[Mira Murati @miramurati]

Inkling-Small is comparable to Inkling at a quarter the size. Weights are open, fine-tunable on Tinker today. Look forward to seeing what people make with it.

[NVIDIA AI @NVIDIAAI]

Another open-weight release from @thinkymachines 👀 Inkling-Small is here.

With native reasoning over audio and images and variable thinking effort, it's a great choice for fine-tuning, with NVIDIA NeMo on NVIDIA DGX Station.

NVFP4 checkpoint here: https://t.co/oJDeCVGy5p

[Thinking Machines @thinkymachines]

Today, we are releasing Inkling-Small.

Inkling-Small achieves comparable performance to Inkling at a quarter of its size. It features 276B total parameters, 12B active. We are making the full weights available.

https://t.co/BtYNcpkDRA

Fine-tune it on Tinker today, or chat with it in text, image, and audio on Tinker Playground.

[Horace He @cHHillee]

Presenting my grand unified theory of ML researcher impact: Your impact is directly proportional to how much pain you cause to infra.

Fundamentally, you can only inflict pain upon infra if your approach actually works. And the better your approach works the more pain infra is forced to endure.

So, to give some examples:
- MoE's add a ton of data-dependent computation => pain (shazeer++)
- GDN/KDA are the most complex architecture I've been forced to care about and a very annoying matrix inversion => pain (sonta++)
- Muon is much more annoying than Adam and causes annoying restrictions on parallelism => pain (keller/jeremy++)
- RL scaling forced many researchers to care about LLM inference and RL infra as a category => pain (tworek++)

Even papers like Attention Is All You Need have lead to significant pain! Before transformers were invented everyone was running small jobs and I never needed to think about kv-caches or 6D parallelism.

[熊师傅 weight decay 了吗 @bigeagle_xd]

Fun fact: I'm responsible of editing the limitations part, and this final line was written by Zhilin himself.

[Yue Yang @YueYangAI]

Inkling is very good at using tools to solve vision tasks.

In this demo, Inkling relies solely on Python tools to generate segmentation masks, iteratively zooming in, cropping, and refining object boundaries.

Plug Inkling into your multimodal agent workflow!
https://t.co/rWEAnwqb73

[Keiran Paster @keirp1]

The progress has been extremely fast. Most of all, I am happy to be surrounded by good people on a critical mission.

Please hold us to your highest standards and share your feedback as you get to know Inkling!

[Martin Ziqiao Ma @ziqiao_ma]

Meet Inkling, our open-weights model built to reason across words, images, sound, and tasks. I'm too tired to find the words, so I'll let Inkling speak for me.

[Victoria X Lin @VictoriaLinML]

@jonlachman Same here!

[Long Lian @LongTonyLian]

Honored to be in the agentic efforts in Inkling. I felt those sleepless nights were well-spent.

Inkling is just a checkpoint of our progress for the foundation model effort started this January. This is just a preview, and the best is yet to come. ✨

[Saurabh Garg @saurabh_garg67]

Training Inkling was a lot of fun, we hope tinkering with it is too!