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Read full article about: Elon Musk's AI chatbot Grok flooded X with millions of sexualized images

Elon Musk's AI chatbot Grok generated at least 1.8 million sexualized images of women and posted them on X over just nine days. That's according to the New York Times and the Center for Countering Digital Hate (CCDH), which conducted a data analysis. The CCDH estimates that roughly 65 percent of the images contained sexualized depictions of men, women, or children.

  Count in sample Out of 20,000 sampled (based on AI-assisted analysis) Share of sample Percentage of 20,000 sampled (based on AI-assisted analysis) Estimated Total on X
Extrapolated estimate (based on overall total of 4.6m images made by Grok)
Sexualized Images (Adults &
Children)
12,995 65% 3,002,712
Sexualized Images
(Likely Children)
101 0.5% 23,338

The flood of images started on December 31 after Musk shared a bikini picture of himself that Grok had created. Users quickly figured out they could ask the chatbot to undress or sexualize real photos of women and children. X didn't restrict the feature until January 8 and expanded those restrictions last week after authorities in the UK, India, Malaysia, and the US launched investigations.

Read full article about: Ernie 5.0: Baidu's 2.4 trillion parameter model becomes China's best in LMArena

Baidu's new AI model Ernie 5.0, which processes text, images, audio, and video in a unified architecture, is now officially available. According to the LMArena ranking from January 15, 2026, Ernie-5.0-0110 scored 1,460 points, placing 8th globally and 1st among all Chinese models. That puts it on par with OpenAI's slightly older GPT-5.1 (High) and ahead of both Google's Gemini 2.5 Pro and Anthropic's Claude Sonnet 4.5. The next best Chinese model is GLM-4.7 from Zhipu AI. In the math category, Ernie 5.0 came in second worldwide, trailing only GPT 5.2 (High).

LM-Arena-Ranking: Baidu Ernie-5.0-0110 belegt Platz 8 mit 1460 Punkten in Textbenchmarks der Top 10.
The LMArena ranking is determined from numerous anonymous pair comparisons in which users choose the better model answer.

Under the hood, the model uses a mixture-of-experts architecture with around 2.4 trillion parameters - but less than 3 percent of those are active for any given query. For now, the model is only available at ernie.baidu.com. Unlike previous releases, Baidu hasn't published any weights yet, and there's no technical report or detailed documentation available. The company's most recent open release was Ernie-4.5-VL-28B-A3B-Thinking, a model that can manipulate images during its reasoning process - for example, zooming in on text to read it more clearly.

Cursor's agent swarm tackles one of software's hardest problems and delivers a working browser

Building a web browser from scratch is considered one of the most complex software projects imaginable. All the more remarkable: Cursor set hundreds of autonomously working AI agents to exactly this task and after nearly a week produced a working browser with its own rendering engine.

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 promises AI data centers won't raise local electricity prices

Following Microsoft's lead, OpenAI is reaching out to communities affected by massive AI infrastructure expansion. Through its "Stargate Community" program, the company promises that its AI data centers won't increase electricity prices for local residents. Microsoft made a similar pledge recently.

To deliver on this promise, OpenAI plans to fund its own energy sources, battery storage, and grid expansion. Each location will get a tailored plan based on local needs. The company also says it will better protect water resources and local ecosystems.

One year after announcing the Stargate project in January 2025, OpenAI says it has more than half of its 10-gigawatt capacity target for 2029 in the planning stages. The first site in Abilene, Texas is already training AI systems. Additional locations are under development in Shackelford County (Texas), Milam County (Texas), Dona Ana County (New Mexico), Port Washington (Wisconsin), Saline Township (Michigan), and Mount Pleasant (Wisconsin).