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Replit introduces Free Mode, powered by GPT-5.6 Luna, allowing anyone to turn ideas into working software without worrying about token costs. The feature lowers the cost barrier for experimenting with AI-assisted software creation.
Callosum has raised $100 million in early financing to develop software that matches specific AI tasks with suitable models and chips. Backers include the UK’s public AI fund.
Moderna and Merck reported that a personalized mRNA therapy, intismeran, combined with Keytruda met key recurrence and distant-metastasis survival endpoints in a prespecified interim analysis. The approach uses AI to select up to 34 tumor-specific neoantigens for an individually manufactured treatment.
PTC has launched the FeatureScript MCP Server for its Onshape CAD/PDM platform. Engineers can use natural language and AI to create custom CAD features.
Google is introducing a button that lets readers mark publishers as preferred sources across Search, Discover, and Google News. The feature could help publishers recover traffic as AI-powered search generates fewer direct clicks to websites.
Moore Threads’ first post-IPO half-year report shows revenue rising 147% to RMB 1.736 billion, while attributable losses narrowed sharply. However, the improvement relies heavily on concentrated cloud-computing sales, government subsidies, investment gains, and IPO-funded cash reserves rather than a clear recovery in core operations.
Meta is expanding Pocket, an experimental AI-powered app for creating and sharing interactive games, to users across the U.S. The app was previously tested quietly in Brazil.
Chinese AI companies are optimising software to handle growing inference demand while access to high-end Nvidia processors remains limited. Domestic chips can support some inference workloads, but complex coding tasks still depend partly on scarce Nvidia capacity.
Meta has introduced a new Meta AI app for Mac that lets users interact with their applications through conversation. The app’s dictation feature is powered by Meta’s Muse Spark model.
This systematic review examines how large language models support mental-health applications, including social-media analysis, clinical conversational agents, therapy support, and psychoeducation. It also covers multimodal diagnosis, prompt engineering, interpretability, and the ethical and regulatory safeguards needed for responsible deployment.