Arijit Ray

@ARRay693

Research Scientist @Google Cloud AI Research | Teaching AI to complete tasks that humans need but don’t want to do.

SF, CA

arijitray.com

Joined November 2015

830 Following

203 Followers

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Arijit Ray
@ARRay693
Oct 23
AI can write code, build websites, even do research. But can it help build the physical world? Super excited to share what we have been working on: PLE, Physical-Engineering's Last Exam. Visual, spatial, physics, language & code reasoning all in one task. Truly AI-complete. 💫 🧵
Chen-Yu Lee
@chl260
Oct 23
HLE tested knowledge. ALE tested digital work. PLE tests the work that builds the physical world. Today we’re releasing Physical-Engineering’s Last Exam (PLE) from Google Cloud AI Research. All frontier models scored under 50% 🧵
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Arijit Ray
@ARRay693
Feb 18
"It is by logic that we prove, but by [abstract] intuition that we discover." - Henri Poincaré. When faced with a complex problem, we pause, we think. Not exactly in words, not exactly in images — in something more abstract, something harder to name. So, for truly
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Arijit Ray
@ARRay693
Nov 10, 2025
Game your benchmark first (and de-bias it) before others do!
Ellis Brown
@_ellisbrown
Nov 10, 2025
🌶️ hot take 🌶️ > we should normalize training on the test set yes, you read that right. no, I'm not joking. and, yes... I have taken ML 101 👉 here's why this is crucial for future multimodal LLM research [1/n] 🧵
Arijit Ray
@ARRay693
Nov 7, 2025
SIMS-V offers free (simulated) rich accurate video annotations for object relationships, distances, and temporal tracking—capabilities often lacking in existing video training datasets. 🎞️💫 Mix it into your data and boost your model's performance on video reasoning tasks! Code
Ellis Brown
@_ellisbrown
Nov 7, 2025
MLLMs are great at understanding videos, but struggle with spatial reasoning—like estimating distances or tracking objects across time. the bottleneck? getting precise 3D spatial annotations on real videos is expensive and error-prone. introducing SIMS-V 🤖 [1/n]
Arijit Ray
@ARRay693
Nov 7, 2025
We live, feel, and create by perceiving the world as visual spaces unfolding through time — videos. Our memories and even our language are spatial: mind-palaces, mind-maps, "taking steps in the right direction..." Super excited to see Cambrian-S pushing this frontier! And,
Saining Xie
@sainingxie
Nov 7, 2025
Introducing Cambrian-S it’s a position, a dataset, a benchmark, and a model but above all, it represents our first steps toward exploring spatial supersensing in video. 🧶
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