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Samsung Unveils ChatGPT Alternative Called Gauss
The generative AI model can create text, code and images.
Samsung has unveiled its own generative AI model, known as Samsung Gauss. The ChatGPT rival has been developed by the company’s research division, and is named after mathematician Carl Friedrich Gauss, a pioneer of AI and machine learning.
The new tool will consist of three distinct elements:
- Samsung Gauss Language
- Samsung Gauss Code
- Samsung Gauss Image
Gauss Language is a large language model that functions much like ChatGPT. The tool can understand human language and answer questions while also helping users write and edit emails, translate languages, and summarize text documents. Samsung plans to incorporate Gauss Language into its range of smartphones, tablets, and laptops to increase productivity.
Gauss Code is a tool that will help developers to write code more quickly. Samsung explained that the AI model will support “code description and test case generation through an interactive interface”.
Gauss Image, as the name suggests, is an image generation and editing tool that can also be used for tasks such as creating high-resolution images from older, low-resolution copies.
Samsung has revealed that Gauss is already being used internally by staff and will be available to public users “in the near future”. In addition, the tech company has created an AI Red Team to monitor potential AI security, privacy, and ethical issues.
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“We will continue to support and collaborate with the industry and academia on generative AI research,” said Daehyun Kim, executive vice president of the Samsung Research Global AI Center, at the AI forum.
Samsung’s generative AI announcement comes seven months after the company issued a temporary ban on the tools for company-owned devices — including ChatGPT and Google Bard — after a serious internal data leak earlier in 2023.
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Deezer Says AI Tracks Now Make Up 44% Of Uploads
The streamer says nearly 75,000 AI-made songs now hit its platform each day, even as those tracks account for just 1% to 3% of plays.
AI-generated music is becoming a real headache for music platforms, according to Deezer. The streaming service says it now receives nearly 75,000 AI-made tracks a day, equal to about 44% of all daily uploads to the platform.
The figure is up sharply from 10,000 daily AI uploads when Deezer launched its detection tool back in January 2025. The jump shows how quickly products such as Suno and Udio have made song creation cheap, fast, and easy to scale.
Despite the volume, Deezer says AI tracks still only account for 1% to 3% of total streams. The music gets few human listeners, but upload pressure is rising. The company says it is also seeing more “fraudulent” submissions.
Its response so far has been practical. Deezer has removed AI-generated songs from recommendation systems, demonetized them, and stopped storing high-resolution versions of those files.
The company also says it’s the only streaming platform currently tagging AI-generated tracks at scale, using that claim to position its moderation tools as a wider industry model.
“AI-generated music is now far from a marginal phenomenon and as daily deliveries keep increasing, we hope the whole music ecosystem will join us in taking action to help safeguard artist’s rights and promote transparency for fans,” CEO Alexis Lanternier said in a blog post.
Deezer has started licensing the detection technology to other companies, turning an internal control system into a commercial product. It says the tool can already identify music created with Suno and Udio, and can be extended to other generators if training data is available.
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The company is also working on detection methods that would not require training datasets, a harder technical step that could widen coverage as new music models appear.
Rivals are taking mixed approaches. Spotify has rolled out policies aimed at curbing AI music. Apple Music is asking artists and labels to disclose AI-made tracks. Qobuz has begun automated labeling, while Bandcamp has banned AI music outright.
For now, Deezer’s numbers suggest the real issue is not listener demand. It’s supply.
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