My morning thinking: very looking forward to the collaboration of Unitree and DeepSeek which is definitely being cooked. Their headquarters are 15.6 miles away from each other and subway system is great in Hangzhou. I bet I can just walk a unitree robot from Unitree to DS.

OpenAI just dropped a paper that reveals the blueprint for creating the best AI coder in the world. But here’s the kicker: this strategy isn’t just for coding—it’s the clearest path to AGI and beyond. Let’s break it down 🧵👇

Respect the hiring process

We knew very little about how LLMs actually work...until now. Anthropic just dropped the most insane research paper, detailing some of the ways AI "thinks." And it's completely different than we thought. Here are their wild findings: 🧵

🚨 70 million US workers are about to face their biggest workplace transmission due to AI agents. But nobody asks them what they want. While AI races to automate everything, we took a different approach: auditing what workers want vs. what AI can do across the US workforce.🧵

1/ 🔥 AI agents are reaching a breakthrough moment in cybersecurity. In our latest work: 🔓 CyberGym: AI agents discovered 15 zero-days in major open-source projects 💰 BountyBench: AI agents solved real-world bug bounty tasks worth tens of thousands of dollars 🤖

Drop everything you’re doing right now and watch Andrej Karpathy’s talk from YC startup school. “Software in the era of AI” It’s unbelievable.

I can't stop thinking about a paper I read on AI. It’s not about new tech or faster models. It’s about the fundamental economic rules of a world with two intelligent species—carbon and silicon. Reading it felt like watching a new color appear in the sky. 1/8 You've probably

Finally had a chance to listen through this pod with Sutton, which was interesting and amusing. As background, Sutton's "The Bitter Lesson" has become a bit of biblical text in frontier LLM circles. Researchers routinely talk about and ask whether this or that approach or idea

Thinking Machines I smell an agentic training trend coming soon

Tinker is cool. If you're a researcher/developer, tinker dramatically simplifies LLM post-training. You retain 90% of algorithmic creative control (usually related to data, loss function, the algorithm) while tinker handles the hard parts that you usually want to touch much less

6 months after our paper release, I still recall the debates on removing the length normalization term in DrGRPO. And people gradually think DrGRPO is just about removing the std, ignoring the most important and subtle (length) bias we tried to point out to the community. Even

Dude is literally scrolling twitter half the time

From what I know, we barely scratch the surface regarding understanding intelligence… next ten years will be a golden era of rediscovering intelligence for academia. At least my students and I are excited about things independent of what is currently popular.

Releasing a new "Agentic Reviewer" for research papers. I started coding this as a weekend project, and Yixing Jiang made it much better. I was inspired by a student who had a paper rejected 6 times over 3 years. Their feedback loop -- waiting ~6 months for feedback each time -- was