James Kujareevanich

Building industrial data layer for Physical RSI

[James Kujareevanich @jameskujkrub]

@paxtechnica hey Tim we are primarily focused on ego+wrist cam but we are about to deploye umi too! Dm me if interested to collab!

[James Kujareevanich @jameskujkrub]

Linewise Research team is cooking!

[linewise @linewiseAI]

One week of our video data: 16,190 hours. A full-time worker would need 8 years to watch it.

Our agent-native infra analyzes it in a day, with inference on @inco_ai: 31× the throughput per GPU at 1/15 the cost per hour of video.

[James Kujareevanich @jameskujkrub]

https://t.co/WmzMpmoqjM

[James Kujareevanich @jameskujkrub]

Vision Lab is now Linewise!! Back to its origin.

[Ben Lang @benln]

Pulled the fastest growing startups by hiring velocity over the past 90 days:

[James Kujareevanich @jameskujkrub]

@deedydas Please add @visionlabAI for Physical AI data!

[James Kujareevanich @jameskujkrub]

@z_aaa_th @rememberlenny @visionlabAI dm me and we can chat!

[James Kujareevanich @jameskujkrub]

@trycua Way to go 🔥🔥

[Physion Labs Official @Physion_Labs]

🚀🚀🚀We're excited to introduce Galileo 0 (https://t.co/rWeqZzMTx1) — our first research preview of a world critic for AI-generated video, which already outperforms Qwen 3.5-Plus, Gemini 3.1 Pro, Pegasus 1.2, and GPT 5.4 on physical consistency reasoning 🚀🚀🚀

Galileo doesn't just score outputs. It diagnoses them — identifying what failed, when it failed, where it happened, and why it broke the rules of the world.

This is a step toward a new paradigm: generate → critique → refine → repeat — where models don't just produce worlds, but learn to keep them consistent over time.

𝐖𝐡𝐚𝐭 𝐦𝐚𝐤𝐞𝐬 𝐭𝐡𝐢𝐬 𝐦𝐢𝐥𝐞𝐬𝐭𝐨𝐧𝐞 𝐞𝐯𝐞𝐧 𝐦𝐨𝐫𝐞 𝐦𝐞𝐚𝐧𝐢𝐧𝐠𝐟𝐮𝐥:
We built Galileo 0 — along with our datasets (including our public Physion-Eval benchmark), evaluation pipeline, and early pilots — with less than $200K total spend in 3 months.

No massive training clusters. No billion-dollar budgets. Just a small, relentless team, strong conviction — and yes, at one point, a five-day stretch of not showering to get this model out.

Because we believe reliability will become core infrastructure for world models.

In a world where billions are being poured into generation, the missing piece isn't more pixels — it's better critics 😊

#PhysionLabs #Galileo0 #WorldModels

[James Kujareevanich @jameskujkrub]

@EvelynZ5699647 amazing stuff!

[James Kujareevanich @jameskujkrub]

@junfanzhu98 would love to join!

[James Kujareevanich @jameskujkrub]

@space_colonist @AnthropicAI Amazing!

[James Kujareevanich @jameskujkrub]

@emily_yu Please include us! @visionlabAI we specialize in collecting in the wild datasets focused on manufacturing sectors - collaborated with 2 frontier labs

[James Kujareevanich @jameskujkrub]

We started off by building a “FactoryGPT” system to capture manufacturing knowledge and help frontline operators navigate the factory environments. What we didn’t expect was that this same knowledge would become incredibly valuable for training robots! @visionlabAI

[James Kujareevanich @jameskujkrub]

Vision Lab just launched on @ycombinator's Launch YC!

Vision Lab: The Industrial Data Layer for Robotics. Check them out: https://t.co/3FLfWQXz0w

[James Kujareevanich @jameskujkrub]

@Harsh0385962334 [email protected]

[James Kujareevanich @jameskujkrub]

HIRING FOUNDING MEMBER with experience working at or with companies such as Scale AI, Surge AI, Appen, Remotasks, Sama, Hive, or similar data labeling / data collection platforms.

WE ARE GROWING FAST.

$5k for successful referral! 🙏

[James Kujareevanich @jameskujkrub]

@ychngji6 wow, which engine do u use to generate the sim?

[James Kujareevanich @jameskujkrub]

@tomprimozic @luke_metro $5/hr 😂