
Automattic's board voted to remove WordPress co-founder Matt Mullenweg from his role, citing concerns over his public conduct and management style. Within 33 hours, Mullenweg mobilized support, replaced the board members, and assumed full control of the project, describing himself as a 'pirate.' The rapid reversal highlights significant tensions between the corporate entity Automattic and the broader WordPress open-source community regarding governance and leadership authority.
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© The Verge AIMeta is betting its future on a dedicated hardware form factor for its Muse agent with the Muse Charm. This standalone device removes the smartphone dependency that currently anchors most AI assistants, aiming to launch before the holidays. While the Rabbit R1 proved early AI hardware could flop due to capability gaps, Meta’s move signals a serious attempt to define the next computing platform. The inclusion of on-device sensors and direct server connectivity suggests they are prioritizing always-on availability over app-based workflows.
© TechCrunch AIYouTube is finally letting users curate their own discovery streams using natural language prompts powered by Gemini. This moves beyond simple keyword filtering into semantic understanding, allowing for nuanced requests like 'relaxing commentary' or specific commute contexts. It aligns YouTube with Bluesky and Threads in the race to democratize feed curation, acknowledging that one-size-fits-all algorithms no longer satisfy diverse user intents. The feature pins these custom streams to the home tab without disrupting the main recommendation engine, offering a parallel layer of control over the platform's massive 20 billion-video library.
The U.S. Transportation Command is shifting from static just-in-time scheduling to randomized, adaptive algorithms to protect supply chains from adversarial prediction. General Randall Reed highlighted that fixed routes expose transports to enemy machine learning models, so injecting controlled unpredictability into routing decisions creates a defensive barrier against hostile tracking. This approach integrates autonomous network healing and predictive demand planning to maintain flow under contested conditions, effectively treating logistics as a cyber-physical battlefield where data integrity and algorithmic agility are as critical as physical transport.