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While Grok Steals Tech Headlines, Apple Quietly Asks Google To Use Gemini In iPhone

In a significant development, Apple is reportedly in talks with Google to integrate the Gemini AI engine into iPhones, allowing Apple to license Google's generative AI models for new iPhone software features this year.

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by Chris Dannen
While Grok Steals Tech Headlines, Apple Quietly Asks Google To Use Gemini In iPhone

In a significant development, Apple is reportedly in talks with Google to integrate the Gemini AI engine into iPhones, allowing Apple to license Google's generative AI models for new iPhone software features this year. Apple has also held discussions with OpenAI, considering the use of their model as well.

Meanwhile, Elon Musk's AI company, xAI, has open-sourced the base code of their Grok AI model on GitHub. The 314 billion parameter Mixture-of-Expert model, licensed under Apache License 2.0, allows for commercial use cases. This move follows similar actions by companies like Meta and Google, who have also open-sourced their AI models. Musk, currently involved in a legal battle with OpenAI, announced the open-sourcing of Grok on his social network X last week.

Chinese automakers are integrating camera drones into their electric cars, targeting content creators who want to capture videos of themselves driving. These systems enable one-click filming of a moving vehicle, with the action viewable live on the car's interior display and recorded for posterity. Some luxury vehicles from major Chinese automakers come equipped with drones from DJI or GDU Tech, and there is hope for Tesla Cybertruck owners as a Chinese drone-docking company claims to fit its Dcap drone carrier to the truck's front trunk.

Lastly, Nvidia, the company behind the most sought-after hardware in the world, is expected to unveil the next generation of its chip, the B100, at the annual GPU Technology Conference (GTC) in San Jose, California. The B100 is rumored to be Nvidia's first multi-die chip, potentially making it even more powerful than its predecessor, the H100. The high demand for Nvidia's H100 chips has raised concerns about potential shortages, prompting some competitors to develop their own versions of the chips to stay competitive in the AI race.

Chris Dannen profile image
by Chris Dannen

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