Inside the Shift Toward Multimodal-Native AI Products
Why teams are rethinking product architecture around models that natively handle text, image, and audio.
Longer-form editorial pieces on the ideas, debates, and questions shaping applied artificial intelligence.
Why teams are rethinking product architecture around models that natively handle text, image, and audio.
Cutting through the buzzword to look at how autonomous agents are actually deployed today.
A clear-eyed look at how LLMs are built, trained, and what their outputs do — and don't — represent.
A critical look at the limitations of leaderboard-driven model evaluation.
How red-teaming and model evaluation practices are converging across labs.
Why understanding how these systems work matters for everyone, not just practitioners.