This week
Suggest a nameObligation Marketing for AI Builders
The 7-Rung LadderThe 8-Type TaxonomyWrapper or WinnerThe Sample ColumnThe Signal
Updated through the day. Every headline links straight to the source. The two lines underneath are ours.
The core finding matters for anyone applying foundation models to specialized time-series problems: zero-shot doesn't work, but fine-tuning does and it's cheap. This is a pattern repeating across vertical tasks. If you're building medical forecasting or domain-specific prediction, spend the week validating your fine-tuning approach instead of betting on foundation model generalization.
The medical domain is now where real-time multimodal agent patterns get tested hardest. The latency work here—500ms to tens of milliseconds via KV cache reuse, 30% end-to-end improvement through streaming JSON—is directly applicable to any low-latency agent pipeline. The bigger pattern: specialized domains drive infrastructure innovation faster than general-purpose API consumers.