Tapping into the country’s strengths in manufacturing and engineering, NVIDIA is helping advance Korea’s physical AI ecosystem. The country’s industry leaders are applying accelerated computing, AI and simulation to everything from semiconductor manufacturing to robotics and a…
Korea Advances Physical AI Across Industries With NVIDIA Korea’s AI Ecosystem Advances and Secures Agentic AI With NVIDIA As AI agents take on more work, they need capable open models and security that advances alongside them. Hyundai Motor Group is exploring NVIDIA NemoClaw blueprints and the NVIDIA OpenShell runtime, while AIM Intelligence is integrating its Starfort platform with NVIDIA OpenSh…
From Chips to Skills, NVIDIA and Korea Expand Sovereign AI Collaboration NVIDIA and Korea’s Ministry of Science and ICT (MSIT) are expanding their collaboration across the country’s sovereign AI ecosystem, from AI semiconductors and data center infrastructure to talent, startups, models, agents and security. The collaboration lays the groundwork fo…
NVIDIA Dynamo Recipes Bring Korea’s Leading Open Models to Production NVIDIA is releasing Dynamo-optimized deployment recipes for Korea’s leading open models: A.X K2 from SK Telecom, K-EXAONE 2.0 from LG AI Research, Solar Open 2 from Upstage and Motif-3 from Motif Technologies. As models grow beyond the capacity of a single GPU, they must be sp…
A single AI model simulates the behavior of many substances, from sliding sand to folding proteins By learning how matter moves, the WorldParticle system could assist with developing soft robots, medicines, and more.
AI-assisted learning platform helps robots reason beyond literal commands The new approach, known as FLEX, could lead to more intuitive, interactive household and assistive robots.
Hide your slop PR descriptions behind Most of the changes I make to my projects these days come in the form of PRs opened for me by Claude Code or Codex. The PR is my unit of work - I use them to bundle commits together, iterating on them until a feature is complete, document decisions and then merge the finished …
The Huang Affair: What did they know and when did they know it? None of this was on my bingo card
How Stanford Teaches AI-Native Engineering — Mihail Eric, Monaco What happens when students can one-shot last year’s homework? Inside CS146S and the engineering team at Monaco.
[One Million AI Engineer Special] How Stanford Teaches AI-Native Engineering — Mihail Eric, Monaco What do you assign when a coding agent can finish last year’s homework in one prompt? In the second run of Stanford’s CS146S, Mihail Eric brought open-source maintainers into the course. Students have to learn an unfamiliar repo, propose a change, and ...
CS 2881 Fall 26: Lecture 6: Grading, Reward Hacking, and Alignment October 8, 2026 · John Schulman · Scribe notes by Idil Ada, Chenxi Ge, Joaquin, and Harry Hu Notes from CS 2881R: AI Alignment and Safety, Harvard, Fall 2026. Author Introductions Idil Ada: I am a Sophomore studying CS and Statistics. I am conducting AI safety research on how …
CS 2881 Fall 26: Lecture 5: Economics of AI October 1, 2026 · Erik Brynjolfsson and Chad Jones · Scribe notes by Kathryn, Eli, Sam, and Christopher Notes from CS 2881R: AI Alignment and Safety, Harvard, Fall 2026. Lecture video · Chad Jones’s slides · Experiment code Author Introductions Kathryn: Senior studying Compute…
CS 2881 Fall 26: Lecture 4: Recursive Self-Improvement and AI Trajectories September 24, 2026 · Dwarkesh Patel and Daniel Kokotajlo · Scribe notes by Adam, Noa, Radha, Rosa, Niranjan, and Wency Notes from CS 2881R: AI Alignment and Safety, Harvard, Fall 2026. Author Intros Adam: I'm an MS/MBA student at Harvard and previously I worked as an ML engine…
CS 2881 Fall 26: Lecture 2: Cyber Capabilities September 10, 2026 · Nicholas Carlini · Scribe notes by Lance Bae, Marina Lin, Sam Chen, and Raj Saha Notes from CS 2881R: AI Alignment and Safety, Harvard, Fall 2026. Author Introductions Lance: I am a Junior studying CS and Math. I think AI is cool. Marina: I’m a sophomore s…
Teaching AI to build scientific models AI for Science grantees Jakob Macke, Daniel Gedon, and Stefan Wahl on how AI is starting to change how scientific models are built and interpreted.
[AINews] Anthropic IPO: Whither Now? November 6, 2026 — ARC Prize tests Inkling 2 Small, and Thinking Machines explains how it caught early checkpoints bypassing guardrails.