Anthropic‘s IPO prospectus runs roughly 300 pages. Somewhere inside a document designed to raise billions of dollars, the company formally warns that its technology could result in catastrophic or existential harm.
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Tensor Auto Inc., an American physical AI company and developer of the Tensor Robocar, and Munich taxi operator Münchner Taxi Zentrum (MTZ) announced a letter of intent (LOI) on October 27, 2026, to deploy Tensor Robocars as autonomous taxis in Germany, with an initial fleet of up to 500 vehicles in German cities and MTZ…
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Tensor Auto Inc., an American physical AI company and developer of the Tensor Robocar, and Munich taxi operator Münchner Taxi Zentrum (MTZ) announced a letter of intent (LOI) on October 27, 2026, to deploy Tensor Robocars as autonomous taxis in Germany, with an initial fleet of up to 500 vehicles in German cities and MTZ…
Stellantis has selected Amperity to help connect customer information across its brands and touchpoints, giving teams a more consistent foundation for personalized engagement. The October 27 announcement puts customer identity and context at the center of the automaker’s data transformation, covering relationships that span vehicles, households, dealers, and years of ownership.
Cupertino is known as Apple’s headquarters location and is a city in Santa Clara County. Cupertino attracts professionals working in technology and related industries, alongside families drawn to its schools and residential neighbourhoods. Its appeal includes its schools, residential neighbourhoods, access to technology employment and location in the San Francisco Bay Area. Buyers therefore pay…
Earlier this month, the UN announced the planet will tip past 1.5 ˚C of warming, “likely within the next few years,” squashing any lingering hope that nations would cut emissions fast enough to achieve the loftiest goal of the Paris climate agreement.
Overall accuracy is a weighted average — and the weights are whatever your evaluation set happens to contain. If your eval set is 90% group A and 10% group B, a model scoring 95% on A but only 60% on B still reports a comfortable 91.5% overall:
I’m tasked with building agents to augment some of our internal work. These agents need to research the internet, talk to internal recipe for prompt injection disasters. As Simon Willison calls it, the lethal trifecta
Not every modelcall needs to generate text. Routing is often a small decision hidden inside a large agentic system, yet many systems ask a decoder language model to generate that choice token by token.