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The first product from Elon Musk-led xAI was announced on Friday, and the CEO has suggested that Tesla’s vehicles may natively run a smaller version of the AI assistant.

On Saturday, X user and Tesla enthusiast Chuck Cook spotted that Musk liked a post saying that a smaller, quantized version of the AI model Grōk would run natively on Tesla with local computing power. Following Cook’s mention, Musk noted that Teslas will likely come with the largest amount of usable inference compute in the world — as long as the vehicles’ AI computer can run the Grōk model.

Provided our vehicle AI computer is able to run the model, Tesla will probably have the most amount of true usable inference compute on Earth.

Tesla CEO Elon Musk recently had an opportunity to visit the Tesla Giga Berlin-Brandenburg plant in Grünheide near Berlin, Germany. Besides making some pronouncements about interior decor, Musk reportedly let on that the plant is expected to be engaged in making Tesla’s next-generation, affordable electric car model.

According to the Gigafactory Berlin News channel on Twitter/X, which covers plant-related news, Musk announced during his visit that the upcoming €25,000 electric car (known in the U.S. to be a $25,000 electric car) will be produced in Berlin.

Back in the old days, finding out your location on Earth was a pretty involved endeavor. You had to look at stars, use fancy gimballed equipment to track your motion, or simply be able to track your steps really really well. Eventually, GPS would come along and make all that a bit redundant for a lot of use cases. That was all well and good, until it started getting jammed all over the place to frustrate militaries using super-accurate satellite-guided weapons.

Today, there’s a great desire for more accurate navigational methods that don’t require outside communications that can easily be jammed. High-tech gyroscopes have long been a big part of that effort, allowing the construction of inertial navigation systems with greater accuracy than ever before.

Imagine trying to read a 2000-year old scroll from an ancient civilization. Now imagine that scroll is rolled up, and in a delicate, charred, carbonized form, having been engulfed by the fiery eruption of a volcano. The task would seem virtually impossible, and the information in the scroll lost forever. Right?|

As it turns out, new developments are changing that. Modern scanning techniques and machine learning tools have made it possible to read fragments of the heavily-damaged Herculaneum scrolls. Hopes are now that more of the ancient writings will be salvaged, giving us a new insight into the ancient past.

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