If you had walked onto a trading floor thirty years ago, you would have heard noise before you saw anything. Phones ringing, ...
Agent skills shift AI agents toward procedural tasks with skill.md steps; progressive disclosure reduces context window bloat in real use.
Asianet Newsable on MSN
Moving from quantitative analysis to automated decision making
Today, serious trading runs on systems. Decisions are written in code. Orders are triggered automatically.
OpenAI brings its AI coding assistant Codex to Windows, allowing developers to run multiple AI agents and streamline complex programming workflows.
Sophie Koonin discusses the realities of large-scale technical migrations, using Monzo’s shift to TypeScript as a roadmap. She explains how to handle "bends in the road," from documentation and ...
Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower cost than frontier models.
Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
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