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Read full article about: ChatGPT becomes a full Chrome browser assistant that reads and acts on your open tabs

ChatGPT can now access open tabs right in the Chrome browser and take actions on them. Users can target open tabs with @chrome, while Chat mode pulls data from several tabs at once. Work mode lets the tool control tabs through Computer Use to send messages, fill out forms, download files, or group tabs. GPT-6 Astra is the best Computer Use model on the market right now, and it can handle complex workflows with many steps.

Your full chat history now sits in the upgraded ChatGPT sidebar right next to the web page you're viewing. In OpenAI's examples, the extension compares products across open tabs by size, material, shipping time, and return rules, sums up articles in plain language, or matches up price pages from different sellers. The updated Chrome extension works with all ChatGPT plans.

China plans to tighten export controls on open-weight models and 23 key AI technologies

China plans to restrict exports of 23 key AI technologies, including model weights, source code, and training methods for systems hitting 10^26 FLOPs or 2 trillion parameters. A fast-track rule will still clear open-source releases as soon as they are registered, but the move will likely push Western companies to double down on US open-weight models over Chinese alternatives.

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Read full article about: OpenAI's new Rosalind Academic Plan gives research labs up to 30 free seats for a year

OpenAI is launching the Rosalind Academic Plan, a free offering that's currently open only to research labs at US universities. Eligible labs get up to 30 free seats on the Business Standard plan for up to twelve months. API access isn't included.

The plan centers on GPT-Rosalind, an AI model built for the life sciences that OpenAI says supports deeper reasoning on complex biological questions. Through the Rosalind Workbench, the model connects to specialized tools for areas like medicinal chemistry, genomics, and lab experiments. Before granting access, OpenAI vets the institution, the lab's lead researcher, and the planned use. Once a lab is approved, the company monitors how the model is used.

According to OpenAI, approved researchers can work on sensitive scientific questions, but only within certain safeguards. For registered, highly sensitive applications, the safety checks factor in the approved research context, and OpenAI follows up with researchers when something is unclear. The company says it doesn't train on research data by default. Details on how to apply are in OpenAI's help center.

Read full article about: Anthropic gives METR inside access to audit its AI models and safety practices

Anthropic has given a team from the nonprofit METR inside access to review its AI models and safety practices, the company announced. Six METR staffers received company hardware, office space, and access to internal tools, which Anthropic says puts them roughly on par with its own risk teams.

Customer data, information covered by attorney-client privilege, and details about the model architecture remain off-limits. METR will publish its findings independently. Anthropic says it can ask for redactions in certain predefined categories, but METR is free to say publicly whether it thinks those redactions were justified.

Anthropic argues that not all safety-relevant information can be made public, either because it could help attackers or because it's commercially sensitive. The METR deal goes further than what the company has offered other outside reviewers. SecureBio, Accenture, and Faculty have so far received less access and tighter limits on what they can publish, and Anthropic has started early talks with Hugging Face. The move follows Anthropic's signing of the White House Accord on Super Intelligence, which includes a commitment to working with outside reviewers.

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Read full article about: Muse Spark Open is Meta's answer to Qwen, GLM, and Kimi in the open-weight race

After its Llama series, Meta is returning to open-weight territory with Muse Spark Open. Meta calls it the most capable US open-weight model, built for coding and agentic tasks, with 816 billion parameters (42 billion active), up to one million tokens of context, and support for text, image, video, and audio. On benchmarks like JobBench, MCP-Atlas, HLE-Diamond, and ZeroBench, Meta says it scores well ahead of Qwen 3.8, GLM 5.3, and Kimi K3 in several categories but still falls well short of Meta's paid Muse Wonder Full models.

Muse Spark Open benchmarked against other open models including Inkling, Nemotron 3 Ultra, Qwen 3.8, GLM 5.3, and Kimi K3. Meta says the model leads in Agentic, Knowledge & Reasoning, and Multimodal categories but falls behind some competitors on coding benchmarks. | Image: Meta

The model is optimized for Apple's M5 Ultra and runs locally on two Mac Studios with 512 GB of unified memory each, according to Meta. Weights are on Hugging Face. The license is free to use but requires the label "Built with Muse Spark Open." Providers pulling in more than $20 million a year who want to offer the model as an API service need a separate agreement with Meta. More details are in the research blog.

Comment Source: Meta
Read full article about: Black Forest Labs' open-weights image model FLUX 3 Image Klein runs on consumer GPUs with just 8 GB of VRAM

Black Forest Labs has released FLUX 3 Image Klein, a 5.6-billion-parameter open-weights model for text-to-image generation, image editing, and generation with up to ten reference images. It supports native 4K output, pixel-accurate editing, and bounding boxes for element placement. Black Forest Labs says it scores the highest Elo ratings among all open models in internal testing, beating closed competitors Ideogram V4.5 and even BFL's own FLUX.2 [pro]. It gains 91 Elo points over FLUX.2 [klein] with 38 percent fewer parameters than that model's 9 billion.

Sample images from Black Forest Labs. | Image: BFL

An INT8 build lets it run on NVIDIA GPUs with just 8 GB of VRAM, generating an image in under 9 seconds on an RTX 4070. The weights ship under the FLUX Kommunity License, free for commercial use by companies making under $5 million annually. The model is also available through the BFL API at $0.009 per 1,000 images, as a Playground, on Hugging Face Spaces, and locally via ComfyUI and Diffusers. LoRA training works from day one through Ostris AI Toolkit and NVIDIA NeMo AutoModel.

Comment Source: BFL

Google wants Gemini 4 Argon to be the only AI model robots need

Google’s Gemini 4 Argon controls robots, generates simulations from photos or sketches, and evaluates training videos. On Google’s own ERQA benchmark, it scores 87 percent. But the published example prompts show that the demos still need a lot of human guidance.

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