Google’s new language extraction tool promises structured data from messy text, but developers are discovering it’s more complicated than advertised.
OpenAI’s new developer mode with full MCP client access is forcing a complete rethink of how we build and deploy AI systems
Google’s new Agent Payments Protocol tackles the trillion-dollar question: who’s liable when AI agents spend your money?
Research reveals AI-generated content that looks polished but lacks substance is creating rework, trust issues, and collaboration problems across workplaces.
Beelzebub’s canary tools expose how easily AI agents can be hijacked through prompt injection attacks
U.S. Immigration and Customs Enforcement just signed a $5.7M contract for Zignal Labs’ AI-powered mass surveillance platform, used by both the Pentagon and Israeli military.
NVIDIA’s massive investment in struggling rival Intel signals a seismic shift in AI hardware dominance, raising questions about market control and geopolitical implications.
How API-first principles backfire when developers forget who actually uses their interfaces
Why document quality detection, not vector embeddings, is the make-or-break factor for enterprise RAG systems processing 10K-50K+ documents
Exploring the controversial debate between replacing vs. patching infrastructure in DevOps, and why immutable architecture might be killing traditional maintenance
GLM-4.5 and Qwen3-Coder are nipping at the heels of Sonnet 4 and GPT-5 on real GitHub tasks while costing 20x less. The coding AI monopoly is crumbling.
Why embracing failure isn’t just damage control, it’s the foundation of modern distributed architecture
