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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.
News
Nano Banana 2 Arrives In MENA For Google Gemini Users
Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.
Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.
The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.
Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.
The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.
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Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.
By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.
The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.
