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Read full article about: Stability AI launches Brand Studio for brand-consistent image generation

Stability AI, once a major force in open-source AI with its Stable Diffusion image model, is shifting its focus to commercial products. The company's latest release is Brand Studio, a platform built for creative teams that need AI-generated visuals matching their brand identity.

At the core of Brand Studio is "Brand Central," where teams can train their own brand-specific image models and set up campaign templates. A "Producer Mode" turns text descriptions into step-by-step visual production plans and runs them automatically. The platform also includes Curated Model Routing, which picks the best-suited AI model for a given task, whether that's Stable Diffusion or a third-party model. Other additions include "Precision Inpainting" for making targeted edits to specific parts of an image. Brand Studio comes in a free Core version and a paid Enterprise plan.

Read full article about: One in four quotes in AI chatbot responses comes from journalism, Muckrack study finds

One in four quotes generated by AI systems comes from journalistic sources. That's the finding of PR database Muckrack, which evaluated 15 million quotes from AI responses across Gemini, Perplexity, Claude, and ChatGPT, as Press Gazette reports.

Trade publications and specialist journalists show up particularly often. Former Business Insider chief Henry Blodget is the most cited journalist worldwide. Reuters leads among publications globally, followed by Forbes. In the UK, The Guardian ranks first, followed by specialist magazine Homes and Gardens.

Rank Publication Subject area
1 reuters.com News
2 forbes.com Business
3 theguardian.com News
4 ft.com Business
5 cnbc.com Business

Muckrack sent millions of queries to all four AI services and tracked how often specific journalists and outlets appeared as linked sources. Based on the results, the company launched a new feature rating the "AI visibility" of journalists and publications across three tiers.

A separate analysis of Google's AI Overviews—AI-generated answers shown directly in search results—found that Facebook and Reddit are among the most cited sources across all queries.

Read full article about: Anthropic hires Microsoft's Azure AI chief to fix its infrastructure problems

Anthropic has hired Eric Boyd, a senior Microsoft executive, as its new head of infrastructure, Bloomberg reports. Boyd previously ran Microsoft's AI Platform, which powers the deployment of large language models for both customers and internal teams. Before Microsoft, he held leadership roles at Yahoo.

The hire comes at a critical time. Anthropic has been struggling to keep its services running smoothly as demand for products like Claude Code has surged. The company is planning $50 billion in investments in AI data centers across the US. Anthropic CTO Rahul Patil said Boyd's experience should help the company meet record demand worldwide.

Read full article about: Musk updates OpenAI lawsuit to redirect potential $150B in damages to the nonprofit foundation

Elon Musk has updated his lawsuit against OpenAI and Microsoft. He's now asking that any damages, potentially more than $150 billion, go not to him but to OpenAI's charitable foundation. He's also pushing for the removal of CEO Sam Altman from the foundation's board, according to the Wall Street Journal. Musk's lawyer, Marc Toberoff, said Musk "is not seeking a single dollar for himself."

Musk accuses OpenAI of abandoning its charitable mission and defrauding him as a donor by exploiting its nonprofit status. He wants Altman and OpenAI President Greg Brockman to turn over their shares and financial benefits to the foundation. The trial is set to begin in April in Oakland, California.

Musk argues OpenAI betrayed the mission he helped fund. However, early interview notes show he agreed to adding a for-profit unit in 2017 and actively discussed the transition while keeping the nonprofit in place.

OpenAI called the lawsuit on X "a harassment campaign driven by ego, jealousy and a desire to slow down a competitor." The company has also asked the attorneys general of Delaware and California to investigate Musk's behavior. OpenAI is currently valued at $852 billion and planning an IPO.

Read full article about: Microsoft's Bing team open-sources "Harrier" embedding model

Microsoft's Bing team (yes, really) has released "Harrier," an open-source embedding model. Harrier supports more than 100 languages, offers a 32,000-token context window, and was trained on over two billion examples plus synthetic data from GPT-5. According to the team, Harrier takes the top spot on the multilingual MTEB v2 benchmark and outperforms proprietary models from OpenAI and Amazon.

Rank (Borda) Model Zero-shot Active Params (B) Total Params (B) Embedding Dim Max Tokens
1 harrier-oss-v1-27b 78% 25.6 27.0 5376 131072
2 KaLM-Embedding-Gemma3-12B-2511 73% 10.8 11.8 3840 32768
3 llama-embed-nemotron-8b 99% 7.0 7.5 4096 32768
4 Qwen3-Embedding-8B 99% 6.9 7.6 4096 32768
5 gemini-embedding-001 99% 3072 2048
6 Qwen3-Embedding-4B 99% 3.6 4.0 2560 32768
7 Octen-Embedding-8B 99% 6.9 7.6 4096 32768
8 F2LLM-v2-14B 88% 13.2 14.0 5120 40960
9 F2LLM-v2-8B 88% 6.9 7.6 4096 40960
10 harrier-oss-v1-0.6b 78% 0.440 0.596 1024 32768

Alongside the full 27-billion-parameter model, the team released two smaller variants—0.6B and 270M—designed to run on less powerful hardware. All three models are available on Hugging Face under the MIT license. Going forward, the team plans to integrate the technology into Bing and into new grounding services for AI agents.

Embedding models handle the searching, retrieving, and organizing of information AI systems need for accurate answers. According to Microsoft, they're becoming increasingly critical as AI agents independently take on more complex, multi-step tasks.

Read full article about: Bezos' Project Prometheus hires xAI co-founder from OpenAI

Jeff Bezos' startup Project Prometheus has hired Kyle Kosic, a co-founder of Elon Musk's xAI who most recently worked at OpenAI, the Financial Times reports. Kosic led the infrastructure behind xAI's Colossus supercomputer and will continue working on AI infrastructure at Prometheus.

The startup, led by Bezos and former Google executive Vikram Bajaj, is building AI systems designed to understand the physical world with a focus on tasks in areas like engine design and engineering. Prometheus has already hired hundreds of employees across San Francisco, London, and Zurich. According to the FT, Bezos and Bajaj are looking to raise tens of billions of dollars for a permanent investment vehicle that would acquire stakes in companies across industries like aerospace and architecture.

Comment Source: FT
Read full article about: OpenAI, Anthropic, and Google team up against unauthorized Chinese model copying

OpenAI, Anthropic, and Google have started working together to combat the unauthorized copying of their AI models by Chinese competitors, according to Bloomberg. The three companies are sharing information through the "Frontier Model Forum," founded in 2023, to detect so-called adversarial distillation. In distillation, the outputs of an existing AI model are used to train a cheaper copycat model. One of the first examples was Stanford's Alpaca model, which demonstrated the feasibility of the approach, but the practice has since become a real problem for US companies.

US authorities estimate that adversarial distillation costs American AI labs billions of dollars in lost revenue each year, Bloomberg reports. OpenAI had already warned Congress in February that Deepseek was using increasingly sophisticated methods to extract data from US models. Anthropic identified Deepseek, Moonshot, and Minimax as actors involved in the practice. The collaboration mirrors how the cybersecurity industry operates, where companies routinely share attack data with each other.

Read full article about: Meta plans to open-source parts of its new AI models

Meta is planning to release versions of its new AI models as open source, according to Axios. These would be the first models developed under the leadership of Alexandr Wang, who joined Meta in 2025 as part of a nearly $15 billion deal with Scale AI.

Unlike its approach with the Llama models, though, Meta plans to keep some components proprietary and review safety risks before releasing anything. The largest models won't be made publicly available either.

According to the report, Wang sees Meta as a counterweight to Anthropic and OpenAI, which focus more heavily on government and enterprise customers. Meta's strategy instead centers on consumer reach through WhatsApp, Facebook, and Instagram. Axios's sources say Meta already knows the new models won't match the competition in every area.