A lot of recent AI work uses the language of causality more confidently than the evidence supports. Latent prediction, object masking, action-conditioned rollouts, and counterfactual-style benchmarks are all useful signals. But none of them, by themselves, show that a model has learned causal mechanisms. That distinction matters. A
Live demo: https://html-preview.github.io/?url=https://gist.githubusercontent.com/ayushmi/634dfe4b402d743aaf6f62bc1eea1245/raw/fe4edf0563047503fcce95d8aaa4535029c4f819/swarm.html Source: 10,000 robots with collision avoidance in WebGPU in HTML10,000 robots with collision avoidance in WebGPU in HTML - swarm.htmlGist262588213843476 I wanted to run a plain web browser based WebGPU
I have lost more hours than I want to admit to problems that turned out not to be the network or the app or the API, but just bad time. We already have NTP, PTP (IEEE-1588), linuxptp, real grandmasters, fancy NICs. That’s not what this is about. I
Our unsafe motion alert fired before the guard-door event - logs said so, the real bug was software time, not the model. What we were running In UEDC (Universal Edge Device Connector - our edge device software) we fuse two streams: * RTSP camera frames - Rust RTSP adapter on the edge, Go
Imagine walking into a factory where every machine knows what the others are doing, not through dashboards, but through instinct. A conveyor slows down because it feels a delay downstream. A robotic arm adjusts its torque because a sensor on the previous line hinted at a different material softness. A
Everyone in our industry is racing to train bigger models. The chatter is all about parameter counts, GPU clusters, and novel architectures. We're building ever-more-powerful brains in a frantic race for AGI or market dominance. But we're building them in the dark. A large
The first time I deployed code to an actual factory floor, I learned that "edge compute" doesn’t live in climate-controlled racks. It lives next to dust, grease, and forklifts. The idealized world of distributed systems I had studied-clean APIs, reliable networks, consistent power-was a