bloomberg-6a04f108·2 events·first seen Aliases: Bloomberg
Bloomberg has open-sourced Causal-TS, a Python library for causal discovery in high-dimensional and nonstationary multivariate time series. The library implements four specialized algorithms (CDNOTS, CDNOTS+, CEDAR, GRACE) plus wrappers for established methods, with a unified conditional independence test layer GPU-accelerated via PyTorch. It includes a regime discovery pipeline for structural breaks, synthetic data generators, CLI tooling, and optional DoWhy integration for end-to-end causal effect estimation.
Anthropic is donating the Model Context Protocol (MCP) to the newly established Agentic AI Foundation (AAIF), a directed fund under the Linux Foundation co-founded by Anthropic, Block, and OpenAI, with support from Google, Microsoft, AWS, Cloudflare, and Bloomberg. MCP has reached significant adoption milestones including 10,000+ active public servers, 97M+ monthly SDK downloads, and integration into ChatGPT, Gemini, Microsoft Copilot, and Visual Studio Code. The AAIF will also house Block's goose and OpenAI's AGENTS.md as founding projects, aiming to foster open, vendor-neutral standards for agentic AI. MCP governance will remain community-driven with existing maintainers continuing their roles.