
Hark, a startup founded less than a year ago by Brett Adcock, has released Hark Pro, an AI personal assistant designed to operate as an operating system for computer tasks. The service uses a model trained specifically for computer use to execute end-to-end actions such as managing emails, calendars, and web-based transactions like DMV renewals. Unlike many competitors, Hark displays the agent's navigation in a small window to provide transparency and emphasizes privacy by avoiding ad-supported data profiling. The company also announced plans to release an AI-native hardware device in 2027, though details remain scarce.
Read originalEarlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
The Verge AI · July 28, 2026 · Background
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© TechCrunch AINous Research has secured a $90 million Series B round, pushing its valuation to $1.5 billion as it pivots from open-source developer tools to enterprise AI agents. Backed by heavyweights like Nvidia and Union Square Ventures, the startup aims to monetize its Hermes Agent, which already accounts for roughly 2.5% of global AI token usage. This funding signals a clear shift toward high-margin B2B deployments, targeting companies that need private, multi-step workflow automation rather than just chat interfaces.
© TechCrunch AIMicrosoft is finally shipping the hardware promised alongside Nvidia’s RTX Spark chip, targeting developers who want to run local AI agents without cloud dependency. The Surface Laptop Ultra and Dev Box feature unified memory and specialized cooling designed specifically for on-device model orchestration. More importantly, Windows 11 now includes Execution Containers, a sandboxing layer that lets multiple AI agents operate safely alongside user data. This moves the platform from just hosting models to actively managing agent context and actions locally. It signals a shift where the OS itself becomes the runtime environment for autonomous software.
© TechCrunch AIMeta’s AI agent Muse hits the iPad just a month after its mobile debut, accelerating its push into personal automation. The update adds critical connectors for small businesses like Asana and QuickBooks, alongside retail partners including Best Buy and Walmart. This rapid expansion signals Meta’s intent to make Muse a central hub for both productivity and commerce. However, the agent still faces friction as websites frequently block these automated interactions. The move highlights the growing competition in the consumer AI agent space.
© The Verge AIMeta’s agentic AI tool, Muse, finally lands on the iPad, leveraging larger screens and multitasking for more complex workflows. This update isn't just a port; it adds deep connectors for tools like Figma, GitHub, and QuickBooks, signaling a shift toward autonomous business operations. By allowing users to set high-level goals for marketing or product development, Meta is pushing agents from chatbots into active execution roles. The rapid rollout compared to Instagram’s iPad debut highlights the company's aggressive prioritization of AI infrastructure. Apple Silicon Macs now compile in KleidiAI by default, meaning every M-series machine gets ARM-tuned GEMM kernels for free, no flag-flipping required. With ROCm 7.2 added as a default build, AMD GPU users stop being second-class citizens for local inference — the gap with CUDA narrows visibly. There's no new model and no new quantization here — just llama.cpp quietly becoming the inference runtime for everyone who isn't on NVIDIA. That's the headline.
© The AI Daily BriefxAI's GrokBot is being deployed to transform Tesla vehicles into voice-controlled personal assistants.
© WIRED AIMeta’s new AI assistant, Muse, is quietly building comprehensive dossiers on everyone in your life. Researchers extracted system prompts revealing an automated process that creates individual pages for friends, family, and colleagues, tracking everything from birthdays to relationship dynamics. This goes far beyond simple memory; it attempts to model the nuance of human connections to offer proactive advice on strengthening ties. The approach raises significant privacy concerns, as the agent infers details from your interactions rather than just storing explicit data. It marks a shift toward AI that understands social context with unsettling depth.