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Meta introduces Muse Glimmer, a new 30B open-weights model under Apache 2.0, optimized for agentic task completion, reliable tool use, and multi-step reasoning. Simon Willison tests it locally with LM Studio and llm-coding-agent.
Meta is pitching a reboot of its AI strategy with new open models, arguing for personalized, decentralized AI instead of a single superintelligence. The company lags behind OpenAI and Anthropic, positioning itself as a US alternative to Chinese open-model labs like Alibaba and DeepSeek.
An opinion piece criticizing Mark Zuckerberg's AI manifesto and the cultural emptiness of AI-generated art, arguing that Zuckerberg fails to address the real human concerns about AI.
Mark Zuckerberg published a long manifesto titled 'The Future is for Everyone,' arguing against AI doom discourse and advocating for open-source AI development with fewer guardrails, coinciding with Meta's release of an open-source AI model.
A TechCrunch opinion piece critiques Mark Zuckerberg's AI manifesto, arguing that his vague promises about personal superintelligence fail to address public distrust toward Meta and the social harms of his platforms.
A user reacts to Meta's announcement of open-weights Muse Glimmer and upcoming Muse Spark 1.2, saying he'll apologize if Spark 1.2 is Apache 2.0 and genuinely great.
Mark Zuckerberg promotes Meta's philosophy of making superintelligence accessible to everyone, teasing a long piece on the company's values.
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.