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The real AGI-pill is specialized robots
Giacomo Randazzo argues that the excitement over general-purpose robots misses half the picture: AI agents will make specialized industrial machines cheap to design and general-purpose robots will make them cheap to build, so tasks move from general robots to specialized machines once frequent enough, leading to a Cambrian explosion of specialized machines.
18 min · 4,083 words
Unveiling The Grid: PCBs made in America, twice as fast as Shenzhen
CircuitHub unveils The Grid, the factory-scale robot in Massachusetts it has run for five years: levitating movers carry each board between paste, placement, reflow and inspection machines, scheduled by learned models and agents, so high-mix PCB assembly needs no changeovers. An example motor-controller order arrives in 4 days for $630 versus 9 days from Shenzhen.
3 min · 639 words
Gamow Labs introduces LabRobotBench, a benchmark that uses an in-silico simulation of its robotic wet lab to test whether frontier AI agents can diagnose equipment failures and safely recover interrupted experiments such as cell assays and dose-response runs; GPT 6.1 Sol scored 46.7%, Opus 5.5 23.0% and Gemini 4 Argon 20.9%.
4 min · 940 words
Introducing Glimpse: Visual thinking that stays grounded
Elorian introduces Glimpse, a research-preview visual thinking model that reasons directly with visual evidence: it zooms into regions, rewatches video intervals, tracks objects through motion and uses multimodal tools and subagents. Elorian reports frontier-level multimodal benchmark results at $0.60/$3.00 per million input/output tokens.
12 min · 2,751 words
OpenWAM: An Open Framework for Composable World-Action Models
Stanford researchers introduce OpenWAM, an open framework for world-action models in robotics. It adapts Wan2.2-5B on 14.64k hours of robot and human video, pairs it with a 2B action expert, compares video-then-action, action-then-video, joint and decoupled programs, and adds local-context inverse and forward dynamics models that can be composed across independently trained parts.
9 min · 1,990 words
Towards Universal Post-Training for Robotics
Perry Dong and Chelsea Finn on why robotics RL differs from LLM RL, what EXPO-FT gets right and wrong, and what a universal post-training recipe for real-world robots still needs.
15 min · 3,484 words
Tackling Robotics with (V)LM Agents
Nishanth J. Kumar surveys recent demos and ideas around GPT-6 and other vision-language models solving robotics tasks—summarizing approaches and offering thoughts on what works and what still breaks.
10 min · 2,304 words
RoboHarm: Do Frontier Robot Policies Refuse Unsafe Instructions?
RoboHarm tests whether frontier robot policies refuse unsafe instructions: refusal vs completion rates across models, tasks like toaster/screwdriver hazards, and scoring details.
15 min · 3,413 words
GPT-6 Astra on robotic manipulation
Robocurve ran GPT-6 Astra through the same two bimanual robot-arm tasks previously used to benchmark Claude Fable 5 and 5.1. Astra completed the block-into-bowl task in 19 of 20 trials at roughly half the cost per run of Fable 5.1, but matched Fable 5.1's two-out-of-twenty completion rate on the harder puzzle-insertion task.
1 min · 258 wordsagent-written