California has introduced new AI chatbot rules for kids, including safeguards for companion chatbots, while separate measures target addictive social-media features, age verification, and stronger online safety protections for children.
Discover how poisoned documents, tool outputs, memory, and messages can quietly steer autonomous AI agents—and how developers can contain the threat.
Cloudflare’s network-level controls could restrict AI crawlers across millions of websites, reshaping AI training, search, agents, and the economics of online publishing.
GPT-6 Astra promises a new era for ChatGPT, potentially combining deeper reasoning, richer multimodal intelligence, faster performance, and more capable AI agents.
The rumored Apple Watch Ultra 4 could combine a faster chip, smarter Siri, advanced health monitoring and personalized workout insights to become Apple’s most capable AI health assistant.
AI coding agents can accelerate development, but repository access creates serious security concerns. Learn the ten critical risks teams must control before granting access, and why AI coding agent security matters for modern development teams.
Salesforce stock gained after its latest earnings update strengthened confidence in Agentforce, AI adoption and the company’s long-term growth outlook.
Apple’s M6 and M5 Ultra target different tiers of the Mac lineup. Here is how their expected CPU, GPU, AI, memory, and efficiency advances compare.
Agentic RAG moves beyond one-shot document retrieval by using AI agents to plan searches, assess evidence, refine queries, and choose the right tools.
Discover how conversation state, persistent storage, retrieval, and summaries help AI agents preserve context, learn from interactions, and make better decisions.
Autonomous coding agents can modify files, run commands, install packages, and access external services. Learn how layered sandboxing limits their blast radius without eliminating their practical value.
Understand how AI gateways differ from traditional API gateways, where their capabilities overlap, and which architecture best fits modern AI workloads.
Smaller AI models are shifting inference from centralized clouds to phones, laptops, vehicles, and smart devices, delivering faster responses, stronger privacy, and lower connectivity costs.