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Samsung Releases Food, An AI-Powered Smart Recipe App
The app uses a database from Samsung-owned Whisk, whose website now redirects to the new app.
Tech giant Samsung has unveiled a new app, known as Food, offering “personalized, AI-powered food and recipes” in eight languages and 104 countries.
The app uses the Whisk food database — also owned by Samsung and now rebranded — and seems a smart move for the Korean electronics giant, considering its vast range of domestic appliances.
Food allows users to search some 160,000 international recipes, which can be saved and curated into eating plans. The app works on smartphones as well as Samsung Family Hub appliances such as fridges and freezers, allowing families to plan ingredient lists and grocery deliveries.
Food can provide recipe recommendations based on available items and has a “personalize recipe” function that uses AI to create bespoke vegan or vegetarian versions of popular dishes. Nutritional breakdowns can be viewed at any time, and users can add items directly to shopping carts at e-commerce checkouts. In addition, using connected cooking, ovens can be preheated and timer set on compatible devices.
Samsung has ambitions to add over one million users to the app worldwide. Although numerous recipe apps already exist (Paprika, Mealtime, Yummly, etc..), Samsung may have an edge due to its position in the smart appliances sector, making it a known quantity to consumers.
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Integration with Samsung Health is also planned for future updates, syncing with parameters like BMI and calorie consumption, plus offering diet management suggestions. By 2024, the app will also incorporate AI vision tech, allowing Samsung Food to recognize items through smartphone cameras and provide instant nutrition information.
Samsung Food is available to download now on Android and iOS, or you can head to the official website to create an account.
News
NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
The chipmaker has significantly expanded OpenAI’s latest model across teams from engineering to HR under tight internal controls.
NVIDIA has started rolling out OpenAI’s GPT-5.5 model through the Codex coding agent to more than 10,000 employees, extending the tool well beyond software teams and into core business functions.
The deployment covers engineering, product, legal, marketing, finance, sales, HR, operations and developer programs. Staff are using Codex for coding, internal research and routine knowledge work as companies test whether AI agents can move from demos to daily use.
GPT-5.5 is running on NVIDIA’s GB200 NVL72 rack-scale systems, linking OpenAI’s newest model directly to the chipmaker’s latest infrastructure push. NVIDIA said the systems cut cost per million tokens by 35 times and raise token output per second per megawatt by 50 times versus earlier generations.
Inside the company, it says the effects are immediate. Debugging work that once took days is being finished in hours and experiments across large codebases that used to stretch over weeks are now handled overnight. Teams are also building features from natural-language prompts with fewer failed runs.
In a company-wide note urging staff to adopt the tool, CEO Jensen Huang wrote: “Let’s jump to lightspeed. Welcome to the age of AI.”
Security remains central to the rollout. Codex can connect through Secure Shell to approved cloud virtual machines, allowing agents to work with company data without moving it outside approved environments. NVIDIA said it assigned cloud VMs to employees so agents run in isolated sandboxes with full audit trails.
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The company added that the setup uses a zero-data-retention policy. Access to production systems is read-only through command-line tools and internal automation layers.
The move also highlights NVIDIA’s long relationship with OpenAI. NVIDIA said the partnership began in 2016, when Huang personally delivered the first DGX-1 AI supercomputer to OpenAI’s San Francisco office.
The two companies have since worked across hardware and model deployment. NVIDIA also said OpenAI plans to deploy more than 10 gigawatts of NVIDIA systems for future AI infrastructure.
For Gulf markets pouring money into sovereign AI and enterprise automation, the signal is clear: internal AI agents are moving from pilot phase to standard tooling.
NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
Deezer Says AI Tracks Now Make Up 44% Of Uploads
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