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Meta returns to open source with Muse Glimmer, an Apache 2.0 licensed 30B parameter AI model optimized for agents — available now
Meta today released Muse Glimmer, a 30-billion-parameter open-weight model designed to run autonomous AI agents directly on consumer hardware — pushing agentic workloads that normally depend on cloud infrastructure onto high-end Macs and PCs.Just as notable as what the model does is how it s licensed. Glimmer arrives under the permissive, industry-standard Apache 2.0 open source license — the company s first fully open release since it succeeded its open-weight Llama family in April with the proprietary Muse Spark.In fact, Muse Glimmer launches today with a more permissive license than Llama ever carried. Llama s bespoke community license drew years of criticism for restrictions like its 700-million-monthly-user cutoff; Apache 2.0 has no such strings, permitting unrestricted commercial use, modification and redistribution.The weights are available on Hugging Face now. Wang said support is rolling out this week through Ollama, LM Studio, vLLM, SGLang, Together AI, Fireworks AI and OpenR
Meta’s new Glimmer AI model offers a hint at Zuckerberg’s personal intelligence vision
Meta’s new open-weight Muse Glimmer model offers a glimpse of Mark Zuckerberg’s personal superintelligence vision, as well as the emerging divide between AI users can own and access.
The Tragedy of the Cognitive Commons
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Enterprise AI Trust Is Not One Thing. It’s Three Things.
I keep watching enterprise AI deals stall in the same place, and for a long time I described it as a trust problem. The vendor had built Continue reading on Medium »
Every Enterprise Now Says They’re Building AI. Almost None Are Deploying It.
I have been watching the enterprise AI market for a long time now, and the pattern after ChatGPT is consistent with every other technology Continue reading on Medium »
Sila lands $1.4B Pentagon loan as militaries demand more batteries
Battery materials startup Sila will use a $1.4 billion loan from the U.S. Department of Defense to scale production at its factory in Washington State.
Four takeaways from Mark Zuckerberg’s massive AI manifesto
Meta CEO Mark Zuckerberg has a lot to say about the idealized future he now envisions for humanity co-existing with artificial intelligence - his latest essay spans more than 6,500 words on the matter. The lengthy manifesto Zuckerberg published on Monday, titled "The Future is for Everyone," broadly lays out his beliefs about how the technology should be developed, expanded, and regulated, and how Meta is positioning itself to enable those goals. Some points echo a similar (albeit, much shorter) public letter that Zuckerberg put out last year, heralding the importance of public access to superintelligent AI - a term for artificial general i … Read the full story at The Verge.
Apple will stream Friday Night Baseball live in Vision Pro
Starting on Friday, August 28th, Apple will begin streaming Friday Night Baseball in immersive video on Apple Vision Pro. The stream will feature commentary from various analysts and reporters, and live graphics will be anchored around the viewers space during the game. After the games conclude, replays will be made available in the Apple TV app. Last year, Apple streamed a selection of live Lakers NBA games to the headset, hoping to entice basketball fans. Baseball adds to its library of immersive content users are able to access on Vision Pro, which also includes immersive content like parkour across Paris and an Alicia Keys rehearsal. … Read the full story at The Verge.
Building an Agent-Ready Data Warehouse: What Traditional Architectures Do Wrong
Giving an AI agent access to a data warehouse doesn't automatically make it agent-ready. The real challenge lies in teaching the agent what the data means and when it's reliable enough to use. The post Building an Agent-Ready Data Warehouse: What Traditional Architectures Do Wrong appeared first on Towards Data Science.
A ‘5-in-1’ seed-sized surgical robot
Scientists from Nanyang Technological University, Singapore (NTU Singapore) have developed a tiny seed-sized robot that can navigate across soft and uneven surfaces to perform five surgical functions wirelessly, paving the way for developing robots to make surgeries and medical treatments more precise. The miniature robot, measuring just 4.4 mm in length and controlled by weak [ ]
Token-maxxing is dead. Agentic memory is what comes next.
Presented by MongoDB We have been building databases as an industry for roughly 60 years. We have been building AI agents, in the form most people mean when they say the word today, for about 18 months.Sit with that ratio for a second, because it explains almost everything about the state of agentic development right now. Six decades versus a year and a half. We are not in the middle of this learning curve. We are standing at the very bottom of it, squinting up.There is no LAMP stack for agents yet. There is no settled, boring, default set of choices that lets a team stop re-litigating architecture and just ship.One of the earliest lessons came from the industry’s brief obsession with token-maxxing. For a stretch in early 2026, token consumption became a vanity metric. The backlash was fast. Token volume measures activity, not outcomes.But the interesting part of the token-maxxing story was never the workplace theater. It was the architectural lesson hiding underneath it.The context wi
A data breach at shipping giant Ceva Logistics is rippling across banks, retailers, Steam gamers, and beyond
Companies that rely on Ceva Logistics for shipping their physical goods to customers say their personal data was taken during a recent cyberattack.