Towards Universal Post-Training for Robotics — Perry Dong
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The Robotics and Physical AI Wave
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Training AI to Paint with Code
by Surya Narreddi

The Closure of the Internet
by Arctotherium

Scalable Behavior Cloning with Open Data, Training, and Evaluation
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The case for reasoning transparency
by Rohin Shah and Anca Dragan

Real-Time Action Chunking with Large Models
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Building Labs that Learn
by Periodic Labs

What can simulation do for robotic post-training? - Abhishek Gupta
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OM-1: Frontier Robot Intelligence, Learned Firsthand from Humans
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Where Does a Robot Think — On-Device vs Datacenter Inference
by Ivan Chiam

How Fast Can I Run My VLA? Demystifying VLA Inference Performance with VLA-Perf
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It’s the screens, stupid!
by Alexander Thompson

Hanlon's razor - Wikipedia
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Reindustrialisation, one software-first factory at a time
by Andrew Kramer

Lowering the Noise Floor on Robot Data
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Asymmetry of verification and verifier’s rule — Jason Wei
by Jason Wei

Smooth Exponentials for Robotics
by Eric Jang

The Hidden Pillar of Robotics
by Deepak Pathak and Abhinav Gupta

Introducing Auto Engineering for Robotics
by General Robotics

Robotics Needs Fewer Roboticists*
by Jacob Zietek

Jacob Zietek
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14 Reasons Robotics is Hard
by Steve Newman

The rise of physical AI: can robots save US manufacturing?
by Christian Davies

Not Just a Model, But a Product — DYNA
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Building a robotics research setup that lives next to my desk
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SHaRe-RL
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RIOS Intelligent Machines · 2018–2026
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From Human-in-the-Loop to AI-in-the-Loop: The AICC Experiment | Blog | Plus One Robotics
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uncertainty quantification as the first step toward observable robot policies
by aryan madhav verma

Cure all diseases
by Saloni Dattani

AGI Will Set Off an Industrial Explosion | AI Frontiers
by AI Frontiers

Dyna-2: A 1-Million-Hour Scaling Law for World-Action Models — DYNA
by Dyna

Drone-Bench
by Andon Labs

Reality has a surprising amount of detail
by John Salvatier

RL vs Next Token Prediction: Why should it be a dichotomy?
by Yong Zheng-Xin (Yong)

From REINFORCE to Dr. GRPO
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Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs
by Kyle O'Brien, Stephen Casper, Quentin Anthony, Tomek Korbak, Robert Kirk, Xander Davies, Ishan Mishra, Geoffrey Irving, Yarin Gal, Stella Biderman

Twelve ideas that could absorb hundreds of millions of dollars
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Why AI Hasn't Cured Anything...Yet, According to Jennifer Doudna | The Circuit
by Bloomberg Originals

GPC: Large-Scale Generative Pretraining for Transferable Motor Control
by Yi Shi, Yifeng Jiang, Chen Tessler, Xue Bin Peng

Lamarr.AI
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Notes on the Industry Job Search
by Alisa Liu

Thoughts Inspired by "Xiaomi's Entrepreneurial Thinking"
by Bojie Li

How Amazon’s Broken Returns Process Is Driving Sellers To Leave Amazon
by CBNC June '25

Agents' Last Exam
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The blood cancer that became solvable
by Works in Progress

Transformers without Normalization
by Jiachen Zhu, Xinlei Chen, Kaiming He, Yann LeCun, Zhuang Liu

Begin Proof — Noam Brown
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The $50,000 Underwater Drone - EP 66 Ulysses
by Kylie Robison