Google's advanced AI model reportedly shelved, sparking questions about its future AI strategy.

Anthropic's coding assistant now proactively offers suggestions, shifting from a reactive tool to a more integrated development partner.

An experimental AI system, Leo/PSCLS, shows remarkable progress in generating coherent narratives as it processes more data.

The hype around AI agents is masking a simpler reality: most complex AI tasks are about orchestration, not just prompts.

As AI capabilities expand, a growing concern is that humans might lose critical thinking skills, becoming mere executors of AI directives.

Production AI agents require robust engineering, not just prompt engineering. They are complex distributed systems.

New research suggests AI's understanding of the world stems from its ability to distill complex information, not just accumulate it.

A year-long AI agent pilot faltered not because of the models or frameworks, but because the agents' knowledge was frozen in time.

AI coding assistants are hitting a context bottleneck. Structured data, not screenshots, is the key to higher quality code generation.

Generative AI models create novel content, unlike deterministic calculators, fundamentally changing problem-solving and information creation.