Jev this, jev that, jeva tried it with graph as policy? Spent the weekend playing with GaP. In YAM moving-cube sim, here's the median pickup time - 5.42s with GaP + custom Rust executor + Jev - 8.79s with native GaP + Astra GaP gives you explicit decision nodes, dependencies and parallel execution. Jev makes decisions inside that graph much faster graph-robots.github.io/graph…

🤖 Should robots be generalists or specialists? At #IROS2026, @Ken_Goldberg & @andrea_bajcsy moderated one of the best debates in robotics. Matt Mason opened with a better question: “Should animals be humans?” 10 takeaways 🧵👇 1️⃣ @HarryXu12, for generalists: “Don’t build Excel. Build GPT.” We don’t know what we’ll need tomorrow, so buy generality just in case — and amortize it. The twist: GPT didn’t replace Excel. It learned to drive it. 2️⃣ @GeorgiaChal split “general” into 4 axes: Body. Scene. Contact. Task. “Breadth and reliability are measured per axis. One does not imply the other.” Her prediction: “The next task is the test.” 3️⃣ The most honest number of the day, from Georgia’s slides: A general model calling robot tools. Coarse block placement: 19/20 ✅ Precision insertion: 2/20 ❌ “Coarse pick and place works. Physical composition and precise contact not yet.” Tool use ≠ dexterity. 4️⃣ @KaterinaFragiadaki’s architecture: The generalist writes the curriculum. The specialist does the reps. Video → sim → RL on subgoals → specialist policies. No teleop. At deployment: “Fast specialists for the common case. Flexible generalists for the long tail.” 5️⃣ Specialist bench: “Fixture and conveyor are part of the intelligence.” A fixture is a prior. A conveyor is a scheduler. Strip them to look “general” and you’ve moved work onto a pricier learned controller. Optionality that hurts reliability isn’t intelligence. It’s cost. 6️⃣ A surgical robot doing one procedure 10,000 times learns exactly what can go wrong. “Generality is the enemy of certification.” From the floor: Are human drivers generalists or specialists? We certify generalists one task at a time. That’s what a license is. 7️⃣ Toshio Fukuda changed the register: “NON-AI matters.” Kizuki: help offered before it’s asked for. “Awareness comes from the body, not from the model.” Japan: ~29% aged 65+, ~570k care workers short by 2040. “If people live to 120, must our machines last that long?” 8️⃣ The floor fight: “A human is a generalist.” “We’re all human specialists.” The room accidentally re-derived pretrain-then-finetune. Veterans argued from what has shipped. Newcomers argued from what has scaled. Both are data. 9️⃣ The title asked for a side. The slides drew a stack: General planning + recovery on top. Fast, certifiable specialists below. A verifier is a fixture made of code. 🔟 The real question: How thick can the middle get before the body must specialize anyway? Generalist or specialist? Maybe the winning architecture is neither. It’s a stack. #IROS2026 #Robotics #PhysicalAI #RobotLearning #WorldModels

GPT-6 Astra can solve some seriously tricky spatial constraint tasks: from unlocking interlocked parts to threading a rope through three rings. Try it yourself now 👇 qinengwang-aiden.github.io/d…