
An Nvidia insider-turned-VC on why robotics hasn’t hit its ChatGPT moment, yet
Ex-NVIDIA robotics marketer Amulya Vishwanath says we’re in robotics’ “Lego era” — blocks first, ChatGPT moment later.
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Robots, embodied AI, and automation hardware.

Ex-NVIDIA robotics marketer Amulya Vishwanath says we’re in robotics’ “Lego era” — blocks first, ChatGPT moment later.

Same Equity conversation, wider lens: Vishwanath’s Techable bets treat physical AI as robots plus materials and life sciences.

Meta’s commercial terms update, effective October 30, lets it crawl sites “associated” with business accounts for AI training — publishers hear a power grab.

DeepMind’s robotics post casts Argon as a physical-reasoning model—87% on ERQA—and shows video-to-sim-to-real workflows that compress weeks of robot work into hours.

Refusal has quietly become the main thing standing between powerful models and real harm, and a new MIT Technology Review essay argues that wall is both leakier and more dangerous than it looks.

NVIDIA's SimReady walkthrough shows AI agents doing the grunt work of turning CAD files into simulation-ready robots, and it is refreshingly upfront that simulated success is not real-world proof.

Nvidia wants to sell the safety layer for robots working beside people. That could speed up careful deployments, and it could also make one company the default arbiter of what safe means.

Robot brains really are getting smarter, but the gap between a lab robot almost air-frying a sweet potato and a reliable household helper is measured in years, not product cycles.

NVIDIA's robotics lab tried to teach robots to assemble its own AI hardware and found that classical engineering often beat end-to-end learning. That honesty is the most valuable part.

Reka's Rho-1 folds text, images, video and robot control into one 19-billion-parameter model, an ambitious bet against agent pipelines that's still only a research preview.

A new walkthrough shows how to train a robot policy from NVIDIA’s huge Cosmos3-DROID dataset without downloading it, a quiet but meaningful step toward making robot learning affordable outside big labs.

MarkTechPost’s IsaacTeleop walkthrough is a Colab tutorial with no headset: NumPy-built inputs, a graph retargeter, and the plumbing that turns XR hands into robot actions.