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Read full article about: Google AI Search taps Gmail and Photos for personalized results

Google is connecting Gmail and Google Photos to its AI-powered search. Subscribers to Google AI Pro and Ultra in the US can now opt in to share their emails and photos for personalized search results.

The system reads hotel confirmations and analyzes vacation photos to suggest relevant restaurants or activities. For shopping queries, search results factor in brands you've purchased and your travel dates.

The feature, called "Personal Intelligence," is already available in Gemini and runs on the Gemini 3 model. It's opt-in only and Google acknowledges the system can make mistakes. Workspace business and education accounts are excluded entirely.

Read full article about: OpenAI's API business grew by $1 billion ARR last month

OpenAI's API business is growing rapidly, with CEO Sam Altman reporting that the company added over $1 billion in annual recurring revenue in just the last month.

OpenAI hit an ARR of over $20 billion by the end of 2025 - up from $6 billion in 2024 and $2 billion in 2023. ARR (Annual Recurring Revenue) represents the annualized value of recurring revenue from active subscriptions and contracts, typically excluding one-time payments.

The API growth Altman announced on X - roughly $1 billion in ARR in a single month - represents about five percent of the company's total ARR. That said, this figure reflects additional growth, not the API's share of overall revenue. How much of OpenAI's total ARR comes from API customers remains unclear.

On the other side of the ledger, OpenAI faces commitments of around $1.4 trillion for computing power over the coming years. To help cover these costs, the company is preparing to introduce ads in ChatGPT - despite Altman calling advertising a "last resort" just two years ago. The ads will initially roll out for free users and those on the new ChatGPT Go subscription tier.

Read full article about: Meta's AI lab ships first models internally after six months as CTO says big leaps for everyday users may be over

Meta Superintelligence Labs has completed its first internal AI models, Chief Technology Officer Andrew Bosworth revealed at the World Economic Forum in Davos. Speaking with Reuters, Bosworth said the models are "very good," but there's still "a tremendous amount of work to do post-training." He didn't share specifics about what the models can do.

Meta is reportedly developing a text model codenamed "Avocado" and an image and video model called "Mango." The new lab came after CEO Mark Zuckerberg restructured Meta's AI leadership following criticism of the company's Llama 4 model. Bosworth called 2025 a "tremendously chaotic year" for building out the new training infrastructure.

At an Axios event, Bosworth shared his broader take on AI development. He noted that for everyday queries, the improvements between model generations—like GPT-4 to GPT-5—are getting smaller. Specialized applications like legal analysis, health diagnostics, and personalization, however, continue to see significant gains. That's why he believes the industry's massive AI investments will pay off eventually.

Read full article about: Ollama brings local AI image generation to Mac

Ollama, the popular software for running AI models locally, now supports image generation on macOS. The feature is still experimental, with Windows and Linux support coming later. Two models are available at launch: Z-Image Turbo from Alibaba's Tongyi Lab is a 6-billion-parameter model that creates photorealistic images and can render text in both English and Chinese. The recently released Flux 2 Klein from Black Forest Labs is the German company's fastest image model yet, available in 4B and 9B variants.

Terminal-Fenster zeigt Ollama-Prompt für eine Katze mit "Hello"-Schild und das generierte KI-Bild im Interface.
Terminals such as Ghostty or iTerm2 display previews directly.

The 4B version of Flux 2 Klein runs on standard graphics cards with at least 13 GB VRAM, such as an Nvidia RTX 3090 or 4070. The smaller version is available for commercial use, while the larger version is restricted to non-commercial applications. Generated images save directly to the current directory, and users can tweak image size, step count, and seed values. Additional models and image editing features are planned.