This article applies scaling laws and unit economics to data collection in robotics, arguing that raw data volume isn’t the key metric. It breaks robot data into observational, interventional, and deployment streams, then shows how novelty and diversity drive model performance per dollar.

TLDR AI’s June 22 issue spotlights Sakana Fugu’s system for coordinating expert models, Mercury 2’s diffusion-based fast reasoning, and Nobel laureate John Jumper’s switch from DeepMind to Anthropic. It also examines audits of diffusion models, the US export controls halting Claude deployments, advances in loop engineering and robotics, and includes a European AI doomsday scenario alongside industry job notes.

This issue highlights five shifts in AI-driven software engineering from Cursor’s Developer Habits Report, along with SpaceX’s record $75 billion IPO and Jeff Bezos’s new startup Prometheus aiming to build an “artificial general engineer.” It also covers advances in vertical AI agents, NASA’s improved Deep Space Network for Artemis II, cute home robots by Familiar Machines, Homebrew 6.0.0 updates, and perspectives on AI’s limits in replacing developers.

South Korea is steering its AI strategy toward “Physical AI,” backing robotics, smart manufacturing, and embodied agents with coordinated industrial policy. Non-Korean speakers face an information blackout on patents, research, and grants, so Fulcrum offers translated, structured intelligence to help foreign investors and companies spot trends and act fast.

Intel is collaborating with Elon Musk's Terafab project to build a semiconductor manufacturing facility in Texas. This initiative aims to produce a terawatt of computing power annually for AI systems, supporting advancements in robotics and autonomous vehicles. Intel's participation also strengthens its foundry business in the growing AI market.