
Anthropic has introduced two new AI models, Claude Fable 5 and Claude Mythos 5, with the latter being restricted to select industry partners due to its advanced capabilities. Claude Fable 5, available to the public, includes safety measures that redirect certain queries to an older model to prevent misuse. This cautious release strategy highlights Anthropic's commitment to balancing innovation with security. The company aims to refine these safety mechanisms over time, ensuring broader access without compromising cybersecurity.
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© WIRED AIApple is set to enhance its Photos app with AI-driven features in iOS 27, offering users the ability to subtly improve their images while maintaining authenticity. The new tools, Extend and Spatial Reframe, allow for expanding and adjusting photo perspectives by generating additional pixels, but with restrictions to keep the main subject intact. Unlike competitors such as Google, Apple's approach focuses on subtle enhancements rather than extensive alterations. This development reflects Apple's dedication to preserving the genuine nature of captured moments while using AI to address common compositional challenges.
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© WIRED AIAnthropic has reversed a controversial policy that covertly limited the use of its AI model, Claude Fable 5, by researchers. Initially, the company had implemented invisible performance degradations to prevent the model from being used to develop competing AI systems, sparking backlash from the AI research community. Critics argued that this approach was hostile and undermined collaborative AI safety efforts. In response, Anthropic has made these safeguards visible, allowing users to be informed if their requests are rerouted or denied. This change aims to balance security concerns with transparency, though it may lead to more benign requests being flagged.
Claude Code's latest update introduces the Claude Fable 5, a Mythos-class model now safe for general use. This model surpasses previous offerings in capability, marking a significant step forward for developers using Claude Code. Additionally, the update resolves an issue with session transcripts not saving when launched from certain environments. This release enhances both the power and reliability of the Claude Code platform, offering developers a more robust toolset for their projects.
The latest b9590 release of llama.cpp addresses a critical issue where the LFM2 template handler was ignoring the json_schema from response_format, focusing solely on tool-calling grammar. This update ensures more robust handling of JSON schemas, which is crucial for developers relying on precise data formatting. The release also includes a variety of platform-specific builds, though some features like KleidiAI on macOS and SYCL on Windows remain disabled. This update is a step forward in refining the tool's functionality, particularly for those working with complex data structures.
The b9591 release of llama.cpp brings notable improvements to Multi-Task Processing (MTP) by removing padding and optimizing data handling. The update refines the ggml_gated_delta_net function, which now only requires the initial recurrent state and uses a snapshot count as an operational parameter, enhancing processing efficiency. These changes are implemented across all backends, addressing previous review comments and fixing CI build errors. With support for diverse hardware configurations, including macOS Apple Silicon, ROCm 7.2 on Ubuntu, and CUDA 12 and 13 on Windows, this release is a significant step forward for developers seeking improved performance and reliability.