Church groups press Microsoft for 1% of data center costs; company stays vague
A coalition in Indiana says Microsoft's one-time donations fall far short of the tax breaks and community needs tied to its new data center.
Frontier models, research results, agents, and developer tooling.
A coalition in Indiana says Microsoft's one-time donations fall far short of the tax breaks and community needs tied to its new data center.
OpenAI outlines how usage analytics for ChatGPT Work and Codex can tie AI adoption to measurable business outcomes.
NVIDIA's first MLPerf Inference results for Vera Rubin NVL72 position hardware and software co-design as central to inference economics.
AIUC applies insurance underwriting to AI agents, arguing that advanced AI should be financially accountable for its actions.
Apple's latest OS releases bring an AI-powered Siri beta to both platforms, alongside security fixes and design refinements.
A new managed EKS add-on routes large language model inference requests based on GPU availability, improving utilization on existing HyperPod clusters.
Google is tailoring its Flow AI tools to fashion designers' workflows ahead of New York Fashion Week.
A Germany–UK study finds that decades-old anonymized patient records may still carry identifiable traits, causing AI to misdiagnose current patients.
The memory maker's new corporate venture capital brand targets AI ecosystem partnerships and future technology investments.
One analysis argues that context and coordination are the missing ingredients that could finally turn automation pilots into real transformation.
As cheap-token experiments fade, enterprise AI must now prove its worth through measurable returns, drawing lessons from digital accessibility.
A new omni-modal model from Alibaba combines audio-video understanding with agentic tool use and a 1M-token context window.
A new roundup identifies 11 open-source agent harnesses verified to work with local LLM runtimes such as Ollama, LM Studio, and llama.cpp.
Agentforce aims to move autonomous agents from demo-grade prototypes to production-ready systems with synthetic testing and live optimization.
A prominent AI newsletter reports a day with little to report, highlighting a rare lull in the sector's usual churn.
A new piece asks where tool use ends and structural dependence on AI begins—and what that means for companies.
A new bilingual English–Korean benchmark from Scale AI and the Korea AI Safety Institute found that Korean-language prompts grounded in local context consistently exposed safety weaknesses that English testing missed.
Scaleout is moving decentralized AI learning to military bases and drones, letting small onboard models identify and attack targets without a central connection.