Meta released Muse Spark Open, an open-weight, natively multimodal foundation model designed for long-horizon, agentic and coding workloads. It has 816 billion parameters (42 billion active), a 1,000,000-token context window, and is optimized for multi-step reasoning, complex software engineering, and extended interactions. The model demonstrates on-device agentic capabilities - examples include shipping iOS changes to an open-source Mastodon client and driving DaVinci Resolve to review footage frame-by-frame - and targets desktop deployment by running across two Apple M5 Ultra Mac Studios using Meta’s MLX framework.
Weights and hosted access are available now through major cloud and platform partners, with downloads on Hugging Face, Amazon SageMaker, Google Cloud Model Garden and Microsoft Foundry Models, and hosted inference via Baseten, Fireworks AI, Groq, Modal, Nebius, OpenRouter and Together AI. It supports many inference engines (vLLM, SGLang, TensorRT-LLM, llama.cpp, Unsloth, Hugging Face Transformers) with Helion GPU kernels providing 1.03-3.95× kernel speedups and hardware optimizations across AMD, Apple, Intel and NVIDIA. Safety post-training and evaluations under Meta’s Superintelligence Scaling Framework met release thresholds; the model is distributed under the Muse Model License with limited commercial terms and is customizable via PyTorch tools (TorchTitan) and MLX for Apple silicon.
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Terence Tao discusses the allure of AI and large language models in advancing mathematics and science, comparing it to Borges's imagined Library of Babel containing all possible knowledge. He highlights how AI's potential to generate vast amounts of research could revolutionize scientific discovery, despite the challenges of sorting through misinformation. (terrytao.wordpress.com)
Companies rushed to adopt AI technology, leading to increased errors, low-quality work, and security risks. Some firms, like Meta, are now pulling back on AI integration to address these issues and reduce costs. (theguardian.com)
Accenture has limited employee spending on the AI tool Claude to $29 per month, down from as much as $1,000. Employees must now find ways to fund additional usage if they exceed the cap, reflecting broader industry cost-cutting measures on AI tools. (404media.co)
Muse Spark Open is the most capable open-weight AI model to date, optimized for desktop use on Apple M5 Ultra Macs. It excels at complex reasoning, coding, and agentic tasks, and is available for download and integration through multiple platforms. (research.meta.ai)
Flux 3 Image Klein is a 5.6 billion parameter model designed for text-to-image generation and image editing, accepting prompts and reference images to produce or modify images. It uses the Qwen3-VL-4B-Instruct text encoder and supports various applications, including fine-tuning and research. (huggingface.co)
AI safety concerns are shared by both independent researchers and industry leaders, with many experts warning of potential existential risks. These warnings are not driven by corporate motives, as even prominent AI pioneers have expressed genuine concern about AI's dangers. (astralcodexten.com)
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