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Bernie Sanders has sent letters to Sam Altman, Dario Amodei, and Mark Zuckerberg urging an immediate pause on AI development, warning that the US Senate may take action if they refuse.
Meta released Muse Glimmer, an open-weight 30B-parameter AI model designed to run capable personal agents locally on consumer hardware, offering a concrete glimpse into Mark Zuckerberg's vision of distributed personal superintelligence.
Meta researchers introduce the Skaling law, a generalized scaling law that couples model capacity and data through a single interaction exponent, reducing prediction error by 1.5–3x and enabling roughly 10x less compute for full-grid extrapolation.
The Verge highlights four key takeaways from Mark Zuckerberg's lengthy AI manifesto, covering Meta's plans for community-friendly data centers, open AI for everyone, and reduced government oversight.
Meta commits again to strengthening the open source ecosystem, with Mark Zuckerberg sharing his philosophy on open source and superintelligence access for everyone.
Meta introduced Muse Glimmer, an open-weight 30B-parameter model distilled from Muse Spark for on-device agentic workflows, with ExecuTorch now supporting running it on NVIDIA GPUs and Apple silicon.
Mark Zuckerberg criticizes closed AI rivals as Meta shifts back to releasing open models, signaling a strategic push for open-source AI.
Zuckerberg released a 14-page memo on AI, sharing his vision for the future of artificial intelligence. The tweet links to the full memo at meta.com.
Mark Zuckerberg shares his perspective on releases, likely related to Meta's AI and product updates.
Article highlights the rivalry between Mark Zuckerberg's Meta and Dario Amodei's Anthropic in the AI space, referencing Meta's vision for the future.
Meta open-sourced Muse Glimmer, a 30B-parameter multimodal agentic model under Apache 2.0, optimized for local tool use and coding with 4-bit quantization fitting under 20GB for consumer GPUs. Zuckerberg also promised open-weight Muse Spark 1.2 and a $1B community fund for data-center regions.
Mark Zuckerberg published a long piece outlining Meta's vision for making superintelligence accessible to everyone, including proposals for sharing intermediate training checkpoints with governments and warnings that slowing American AI releases could harm leadership.
Meta announces a new open-weight model aimed at local agentic AI, with Mark Zuckerberg sharing his essay on Meta's AI philosophy.
Unsloth releases a GGUF-quantized version of Meta's Muse Glimmer 30B model, designed for local agentic tasks with multimodal input, tool use, and multi-step reasoning.
Meta announced it will open source its Muse Spark 1.2 and Muse Glimmer 30B models, described as the biggest open weights since Llama 4 and 3.
Meta is preparing to release the weights for Muse Spark 1.2, its latest foundation model, which will be available for broad use.
Meta announces a new open-source model, Muse Glimmer 30B, released under the Apache-2.0 license.
Meta announces a new open-source model optimized for on-device deployment, aiming to bring efficient AI inference to edge devices.
Meta introduces Muse Glimmer, a permissively licensed 30B-parameter model optimized for local agent workflows, coding, and tool use, with weights released on Hugging Face.
Meta presents Shape Your Feed (SYF), an LLM-based agentic framework for real-time conversational recommendation that co-curates content via multimodal input, agentic re-ranking, and self-evolution with DPO, achieving strong offline and online results.