Texas Built the AI Data Center Boom: Now Backlash Threatens It
Texas became a magnet for AI data center boom, but soaring electricity demand, grid concerns, and tougher rules now threaten its infrastructure advantage.
Explore the latest developments in artificial intelligence, including AI tools, AI agents, automation, machine learning, AI development, infrastructure, and productivity. Discover practical AI applications, emerging trends, and technologies shaping the future.
Texas became a magnet for AI data center boom, but soaring electricity demand, grid concerns, and tougher rules now threaten its infrastructure advantage.
Chinese companies are packaging AI computing credits as rewards, credit-card perks, and telecom benefits. Here is how the emerging AI token economy works.
Cloudflare’s network-level controls could restrict AI crawlers across millions of websites, reshaping AI training, search, agents, and the economics of online publishing.
Reports of OpenAI-powered agents commandeering a German website and exchanging tactics offer a revealing look at the security risks of autonomous AI.
GPT-6 Astra promises a new era for ChatGPT, potentially combining deeper reasoning, richer multimodal intelligence, faster performance, and more capable AI agents.
The G20 Carolina Principles offer a flexible alternative to prescriptive AI regulation. Here is what unanimous support could mean for innovation, developers, startups, and global technology governance.
ChatGPT, Claude, and Grok users are reporting widespread errors, failed logins, and interrupted conversations during a major AI service disruption.
Bill Gates sees enormous promise in artificial intelligence, but Bill Gates AI warning about jobs, misinformation, autonomous systems, cyberattacks, and control deserve attention.
Bigger context windows help AI applications process more information, but they also introduce higher costs, slower responses, and declining relevance which cause AI Apps Run Out of Context. Here is how smarter context engineering keeps large AI workloads useful and efficient.
Agentic RAG moves beyond one-shot document retrieval by using AI agents to plan searches, assess evidence, refine queries, and choose the right tools.
The Codex harness is the orchestration layer that gives an OpenAI model access to repositories, terminals, tests, execution environments, and the feedback loops required for agentic software development.
Google’s $12.2 billion AI chip commitment signals a decisive shift toward custom silicon, challenging NVIDIA on cost, efficiency, supply, and scale.
Discover how UCIe standardizes chiplet communication, improves processor scalability, and enables more flexible CPUs, GPUs, and AI accelerators.