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Teams are ditching million-dollar AI bills for models like Kimi K2. Here’s why the economics no longer work for closed-source AI.
Google’s new language extraction tool promises structured data from messy text, but developers are discovering it’s more complicated than advertised.
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.
Why document quality detection, not vector embeddings, is the make-or-break factor for enterprise RAG systems processing 10K-50K+ documents
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.
AI lowers the drawbridge to coding, music, and art, but the same drawbridge crushes the apprentices who used to earn their keep inside the castle walls.
Alibaba’s trillion-parameter Qwen3-Max is crushing coding benchmarks and reshaping the AI landscape, but is it all smoke and mirrors?
Bill Gates claims AI can’t replace human programmers for a century, sparking debate about what makes coding uniquely human versus machine-automatable.
