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The voice layer 100,000+ developers use daily recently launched on Android. Now it's on every platform.
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The voice layer 100,000+ developers use daily recently launched on Android. Now it's on every platform.
Apple's upcoming foldable iPhone will have an iPad-like layout when opened. It will be able to run apps side-by-side for the first time. The interior foldable display will be roughly the size of an iPad mini. The external screen will be about the size of the display on a small iPhone. Apple is developing new iOS app layouts so developers can adapt their software to the new interface.
Elon Musk has revealed a new joint project between Tesla and xAI called 'Macrohard' or 'Digital Optimus' aimed at creating a system capable of emulating the functions of software companies. The project pairs xAI's Grok with a Tesla-developed AI agent that processes real-time computer screen video and keyboard and mouse actions. The system will run on Tesla's in-house AI4 chip paired with xAI's Nvidia-based server hardware. xAI applied for a trademark for 'Macrohard' in August 2025.
Anduril is acquiring ExoAnalytic Solutions, a space intelligence firm that operates a network of sensors that monitor the movements of satellites above Earth. The acquisition will more than double Anduril's staff dedicated to space projects. Anduril is best known for developing autonomous weapons such as cruise missiles, jet-powered missile interceptors, and underwater drones. The purchase of ExoAnalytic will accelerate Anduril's work on supporting national security space customers.
AI-based tools can now help scientists design original antibodies on computers. Antibodies are among the most versatile tools in biology. Before AI, scientists searching for a useful antibody would have to screen billions of candidates in laboratory assays to identify just a handful with a high affinity for a target. Now, suitable binders can be found after just tens of attempts rather than billions. This post shows readers the modern computational process for designing antibodies from scratch.
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Thanks to advances in WebAssembly, it is now possible to spin up a web server, a database, and a full WordPress installation within a browser in about 30 seconds. WordPress has now launched a site that does exactly that. Users can launch it to build sites and cross-publish apps to the web, desktop, and iOS. WordPress plans to add features like peer-to-peer sync, version control integration, and cloud publishing.
The JavaScript Temporal object, a full replacement for the Date object, enables date and time management in various scenarios, such as time zone and calendar representation, wall-clock time conversions, arithmetics, and formatting. It has an intricate and powerful API that exposes over 200 utility methods via several classes. Implementing Temporal was a challenge as it was a very large proposal that brought more challenges to JavaScript than any other proposal in the programming language's history. This post takes readers through the journey of how Temporal came to be.
Individual AI is the vector by which most of the world's businesses will first experience the transformative magic of AI. However, productive individuals do not make productive firms. There is a gaping need for institutional intelligence that creates coordination, finds signal, creates objectivity, optimizes for edge, and scales revenue. Organizations need an institutional AI purpose-built for domain-specific problems that individual AIs can leverage as a tool.
Companies are hiring again, but at a lower rate than before. AI is helping teams ship with smaller headcounts. Most organizations aren't laying workers off or restructuring, just hiring less than planned. AI is taking jobs, just invisibly, one unposted job at a time.
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Nvidia has been pitching NemoClaw to various corporate partners ahead of its annual developer conference next week.
For the vast majority of inference calls, the model is interchangeable, and customers buy on price.
Meta's new chips are part of an effort to diversify its hardware sources, reduce reliance on outside chipmakers, and bring down costs.
Generative models are useful when the relative cost of encoding the work in a prompt and verifying the output is low, and the process used to complete the work doesn't matter.
Token economics break product feedback loops by introducing a competing optimization target, leading teams to stop asking what developers need and focus on supporting the token narrative.
Developers take pride in the code they write, but builders take pride in what gets built, even if it was built through commanding a fleet of agents.