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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.

Read full article about: OpenAI rolls out age prediction to apply teen safeguards in ChatGPT

OpenAI is rolling out age prediction in ChatGPT to identify when an account likely belongs to someone under 18, so the system can apply the right experience and safeguards for teens. The model analyzes behavioral patterns like usage times, how long the account has been active, and the age users entered at signup. When someone gets flagged as a minor, ChatGPT automatically enables safety features that block, among other things, graphic violence, sexual roleplay, depictions of self-harm, and content about extreme beauty standards.

The move follows OpenAI's announcement that adults will get access to some of this previously restricted content, making age verification a necessary first step. It also comes after cases of teenagers developing dangerous dependencies on AI chatbots, some with fatal outcomes.

Adults who get incorrectly flagged as minors can verify their age by taking a selfie through the Persona service. Parents get additional controls, including rest periods and notifications when the system detects signs of acute distress. The feature launches in the EU in the coming weeks. More details on OpenAI's help page.

Four years of war, millions of hours of drone footage: Ukraine shares data for AI training

Nearly four years of war have left Ukraine with an unlikely asset: millions of hours of drone footage and combat data. Now Kyiv plans to share them with allies as leverage. In the age of military AI, raw battlefield intelligence may prove more valuable than any weapons shipment.

Read full article about: Google's Gemini API requests more than double in five months, jumping from 35 billion to 85 billion

Google's Gemini API business is taking off. According to The Information, API requests shot up from around 35 billion in March to roughly 85 billion in August, more than doubling in just five months. The spike started after Google shipped its "breakthrough" model, Gemini 2.5, this spring, and continued climbing with Gemini 3. Gemini 2.5 is even turning a profit on operating costs, though not on research and development. Google plans to break down the numbers during its quarterly earnings call on February 4.

On the enterprise side, Google says Gemini Enterprise now has eight million subscribers across 1,500 companies, with another million signing up online. Reviews are mixed, though. Some users like how it connects to company data and find it handy for research and documents; internal surveys at one consulting firm show 83 percent satisfaction. But others say the product works fine for simple questions while falling short on specialized tasks and custom app development.

OpenAI says it could have grown even faster if only it had more compute

OpenAI says more compute means more revenue. The company’s new business figures show both tripling year over year, but with cash outflow expected to hit 115 billion dollars by 2029, the formula needs to hold up.

Thinking Machines could face tough questions from investors after talent exodus

The AI startup from former OpenAI CTO Mira Murati had a rough week. After firing a co-founder, several researchers left for their former employer. A planned funding round at a $50 billion valuation could be in jeopardy.

Read full article about: South Koreans now spend more on AI subscriptions than Netflix each month

South Koreans now spend more per month on AI subscriptions than on Netflix. According to Hankyung Aicel, payments for seven AI services, including ChatGPT and Gemini, hit an estimated 80.3 billion won (roughly $55-60 million) in December 2025. That's more than the average monthly Netflix subscription revenue in Korea during 2024, which came in at 75 billion won (around $50-55 million). One important caveat: the AI figure includes business payments, while Netflix is a consumer-only service.

Credit card payments for AI services jumped from 52,000 transactions in January 2024 to 1,666 million in December 2025. Private customers paid an average of 34,700 won (about $24), while businesses spent 107,400 won (roughly $74). ChatGPT dominated with 71.5 percent of all payments, followed by Gemini at 11.0 percent and Claude at 10.7 percent. According to Hankyung Aicel CEO Kim Hyung-min, Korea's subscription market continues to grow, and generative AI is becoming a regular subscription product.

For context: Netflix reports revenue per subscription of around $7 for Asia-Pacific, compared to roughly $17 in the US and Canada. That's significantly higher revenue per subscription per month.