Generative AI

Freepik releases an ‘open’ AI image generator trained on licensed data

Freepik, the online graphic design platform, unveiled a new “open” AI image model on Tuesday that the company says was trained exclusively on commercially licensed, “safe-for-work” images. The model, called F Lite, contains around 10 billion parameters — parameters being the internal components that make up the model. F Lite was developed in partnership with

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Reddit’s conversational AI search tool leverages Google Gemini

Reddit Answers, the platform’s conversational AI search tool, gets an upgrade through an integration with Google Gemini. This comes over a year after Reddit expanded its partnership with Google Cloud to access its Vertex AI platform to build AI agents. Google and Reddit announced the update on Wednesday, explaining that by incorporating Gemini on Vertex AI,

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Waymo may use interior camera data to train generative AI models, but riders will be able to opt out

Waymo is preparing to use data from its robotaxis, including video from interior cameras tied to rider identities, to train generative AI models, according to an unreleased version of its privacy policy found by researcher Jane Manchun Wong, raising fresh questions about how much of a rider’s behavior inside autonomous vehicles could be repurposed for

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Waymo may use interior camera data to train generative AI models, sell ads

Waymo is preparing to use data from its robotaxis, including video from interior cameras tied to rider identities, to train generative AI models, according to an unreleased version of its privacy policy found by researcher Jane Manchun Wong.  The draft language reveals Waymo may also share this data to personalize ads, raising fresh questions about

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DeepSeek: Everything you need to know about the AI chatbot app

DeepSeek has gone viral. Chinese AI lab DeepSeek broke into the mainstream consciousness this week after its chatbot app rose to the top of the Apple App Store charts (and Google Play, as well). DeepSeek’s AI models, which were trained using compute-efficient techniques, have led Wall Street analysts — and technologists — to question whether the U.S. can maintain its

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