
Rabbit has launched OS3, a new agentic operating system designed to run across multiple screens including desktops, browsers, and messaging apps like Telegram and iMessage. The platform utilizes a local agent node on Windows, Mac, or Linux to execute tasks autonomously, allowing users to control their computers via mobile devices. Unlike its previous hardware-centric approach, OS3 adopts a 'Bring Your Own Key' model, supporting various AI providers without requiring a subscription. The company is currently focusing on software development while phasing out R1 production.
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© WIRED AIThe Biological Computing Company is moving from stealth to a limited AWS preview, offering a video generation model powered by living rat neurons. This isn't just wetware hype; they claim five times faster inference than frontier open-source models by mapping visual data onto multi-electrode silicon arrays. With $50 million in funding and Jeff Dean’s backing, TBC is betting that biological neural patterns can solve the efficiency bottlenecks of current generative video pipelines. The real test is whether this 'wetware as a service' scales beyond short clips without losing fidelity.
© WIRED AIViture is pivoting from bulky VR displays to a sleek pair of smart glasses that map your life through audio alone. The Vonder device uses bone-conduction sensors to capture speech without cameras, building a personal memory graph that connects your daily experiences and goals. By routing queries through multiple LLMs like Claude and Gemini, it aims to act as an external brain rather than just a recorder. This approach sidesteps the privacy backlash plaguing Meta’s Ray-Bans by keeping data local and visual indicators subtle. It represents a distinct shift toward passive, audio-first AI companions that prioritize user comfort and discretion over constant surveillance.
© WIRED AICisco Talos has released CAIRN, an open-source framework designed to detect the digital fingerprints left by AI integration in malware. The tool successfully identified CLOSEDQUORUM, a Windows-based threat that autonomously polls four different LLMs—including DeepSeek and Gemini—to coordinate attacks without human intervention. This discovery shifts the narrative from theoretical AI threats to operational reality, proving that attackers are already building redundant, hive-mind infrastructures. For defenders, CAIRN provides the first systematic way to classify these emerging artifacts and track trends in autonomous cybercrime.
© TechCrunch AIMeta’s product head Nat Friedman confirmed that the viral AI agent Muse is heavily inspired by OpenClaw, validating user suspicions that the two share nearly identical system files and configuration structures. While Meta insists Muse was built from scratch to scale securely to billions of users, the admission underscores a recurring pattern where tech giants adopt successful open-source architectures for mass-market products. This isn't just about code reuse; it's about Meta legitimizing the personal agent paradigm by wrapping a niche developer tool in a consumer-friendly interface. The real story here is how quickly OpenClaw’s design philosophy became the industry standard, forcing even Meta to acknowledge its pioneering role in defining how these agents should behave.
© TechCrunch AIAstroForge is betting its future on a transformer-based control stack called Solo, aiming to fly the first fully autonomous spacecraft by 2027. This moves beyond traditional algorithms, using an intelligence layer trained on 2,500 sensors to handle anomaly resolution without Earth intervention. The decision stems from the prohibitive $200 million cost of building a global ground network and previous communication failures with their Odin prototype. By stripping radios for the Autonomy-1 mission, they are forcing the AI to solve problems in real-time, marking a significant shift toward onboard neural control in deep space.
AutoScheduler is bridging the gap between rigid enterprise systems and floor-level agility with a new app builder that lets logistics staff create tools from plain language. Unlike generic AI wrappers, this module sits on a semantic layer trained on six years of distribution data, connecting directly to WMS and ERP systems via mathematical solvers. Early deployments show operators building functional apps in under 15 minutes, with one case yielding six-figure annual savings through optimized replenishment tracking. This shifts warehouse automation from IT-led projects to operator-driven solutions, proving that domain-specific AI can outperform broad LLMs in complex industrial environments.