Physical AI

destro ai robots humans warehouse orchestration seed a loading dock with dock leveller

Destro AI’s Secret Sauce Is Getting Robots and Humans on the Same Page

Destro AI has raised an $8 million seed round led by Base10 Partners and Bonfire Ventures for software that directs warehouse robots, carts, trucks and people as one system. We explain MothershipOS and VisionOS, the Yusen Logistics cross-dock deployment growing from 3 robots to 43, why orchestration may matter more than better robots, two corrections to the coverage and the risks in the model.

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AMD Buys World Labs, the Firm Founded by AI ‘Godmother’ Fei-Fei Li, for $8.2 Billion

AMD has agreed to buy World Labs, the world-model start-up founded by Fei-Fei Li, the ‘godmother of AI’, in an all-stock deal worth about $8.2 billion, with Li becoming AMD’s chief scientist. We set out the terms, what World Labs builds, how its value climbed, why a chipmaker wants a model lab, where Nvidia fits and what it means for businesses.

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black forest labs europe ai optimism safety fears a fir tree of three stacked cones

AI Startup Urges Optimism From Europe Despite Safety Fears

Black Forest Labs chief executive Robin Rombach told AFP that Europe must swap “risk and fear” for optimism about AI, just as the industry’s safety debate peaks. We profile the Freiburg maker of FLUX, test its claim that open-weight models are safer against its own red-team figures, measure Europe’s capital gap with official data, and cover the EU AI Act changes, the Audi robot trials and the Scorsese row.

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safety-critical AI - safety critical ai shield ai waabi gm techcrunch disrupt 2026 a delta wing drone resting on a pedestal

Shield AI, Waabi, and General Motors on Building AI When Failure Is Not an Option at TechCrunch Disrupt 2026

Shield AI CTO Nathan Michael, Waabi CEO Raquel Urtasun and GM robotics strategy director Mikell Taylor share the Real World AI Stage at TechCrunch Disrupt 2026 (13-15 October, Moscone West) for “Building AI Systems When Failure Is Not an Option”. This article covers the session, each company’s record on validation, RAND’s miles-to-safety arithmetic, the standards behind a release decision and the questions founders should ask about safety-critical AI.

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physical ai hardware becomes the neural network a physical ai honeycomb cluster of seven hexagonal prisms

Toward Physical AI: When the Hardware Becomes the Neural Network

On 18 September 2026 Nature Reviews Physics published a 165-reference Perspective arguing that self-organising memristive networks can learn physically, with no separation between the model and the hardware running it. Six researchers from Los Alamos, INRiM Turin, UCLA, Politecnico di Torino, the University of Canterbury and the University of Sydney set out what has been measured: 93.4% on MNIST learned online on a nanowire device, reservoir computing that trains only a readout layer, and criticality as a tuning target. This piece separates the measured results from the ambition, sets the energy argument against the IEA’s data-centre projections, and lists the four open problems — variability, drift, scaling and readout — that stand between a review paper and a component you can buy.

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Mecka AI Nears $500M Valuation in Sequoia-Led Deal Amid Rush for Robot Training Data

On 11 September 2026 TechCrunch reported that Mecka AI, the Toronto and New York startup that pays people to record everyday tasks with body sensors and iPhones, is nearing a Sequoia-led round at about a $500 million valuation. The round size is unknown and the terms are not final. We read the report, the June funding coverage, Mecka AI’s own site, the EgoVerse paper it co-authored, the dataset explorer it hosts and the hiring page, and counted what agrees, what disagrees and what nobody has said.

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antioch agent browser robotics simulation testing a quadcopter drone body with four arms

Antioch Agent Runs Robotics Simulation From a Browser Tab. Antioch’s Own Pages Never Once Say “Browser”

Antioch Agent is the product name attached to the most interesting idea in robotics tooling this year: describe a test in plain language, and a machine builds the digital twin, writes the scenarios, runs them by the thousand, and reports what broke. Antioch, the New York company behind it, raised a $32 million Series A […]

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