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Meet Atoms: A Vibe Coding Tool That Uses AI Agents to Build, Deploy, and Market Your App (No Code)
Atoms is a vibe coding tool using AI agents to build, deploy, and market apps without code, handling demand validation, SEO, ads, and scaling.
I Let Siri AI Show Me Around San Francisco
I tested Apple's revamped Siri AI as my San Francisco tour guide—finding it conversational, ever-present, and genuinely useful for navigation and recommendation...
AI Is Hurting Apple in More Ways Than One: It May Force iPhone Price Increases
AI memory chip shortage, dubbed 'RAMageddon,' may force Apple to increase iPhone, Mac, and iPad prices as costs quadruple.
No More Lightbulbs, Much More Sports: Five Predictions for Roku’s Future
Fox's acquisition shifts Roku from IoT to live sports, with a new sports hub, global expansion, and a data-driven ad powerhouse by 2026.
OpenAI Bolsters Ranks with AI Pioneer and Policy Expert Ahead of IPO
OpenAI hires AI pioneer Noam Shazeer and policy expert Dean Ball ahead of IPO, bolstering leadership amid talent exchanges and shaping frontier AI policy.
SpaceX IPO: Everything You Need to Know
SpaceX’s historic $75B IPO goes live on NASDAQ as SPCX. Get key numbers, voting power details, and how to track the stock.
Moonshot AI Unveils Kimi K2.7-Code: A Coding Model with +21.8% Improvement on Kimi Code Bench v2 Over K2.6
Moonshot AI launches Kimi K2.7-Code, a coding LLM with a 21.8% improvement over K2.6 on Kimi Code Bench v2, boosting code generation and debugging.
OpenAI Faces Investigation from State Attorneys General
A coalition of state attorneys general investigates OpenAI, probing advertising, user data, and child safety, adding to growing legal challenges in 2026.
Jeff Bezos’ AI Startup Targets ‘Artificial General Engineer’ for Robotics and Drug Design
Bezos' AI startup Prometheus aims to build an 'artificial general engineer' for robotics, drug design, and manufacturing, unifying specialized tools.
ToolSense: A Diagnostic Framework for Auditing Parametric Tool Knowledge in LLMs
ToolSense diagnoses whether LLMs truly understand tools in agent systems, revealing a 50-64% performance gap between benchmark and real-world retrieval.