How the NHC is integrating Google Deep Mind AI into its forecasting. - wfla.com
How the NHC is integrating Google Deep Mind AI into its forecasting. wfla.com
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The Self Driving Portfolio: Agentic Architecture for Institutional Asset Management
arXiv:2604.02279v1 Announce Type: cross Abstract: Agentic AI shifts the investor's role from analytical execution to oversight. We present an agentic strategic asset allocation pipeline in which approximately 50 specialized agents produce capital market assumptions, construct portfolios using over 20 competing methods, and critique and vote on each other's output. A researcher agent proposes new portfolio construction methods not yet represented, and a meta-agent compares past forecasts against realized returns and rewrites agent code and prompts to improve future performance. The entire pipeline is governed by the Investment Policy Statement--the same document that guides human portfolio managers can now constrain and direct autonomous agents.
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I Built an MCP Server So Claude Can Answer Questions About Its Own Usage
Here's something that didn't exist until recently: you can ask Claude how much Claude Code you've been using , and get a real answer backed by your actual data. You: "How much have I used Claude Code this month, and is my streak going to survive?" Claude: "You've logged 47.3h interactive + 83.1h AI sub-agent work in March, for 130.4h total. You're on a 36-day streak with 22 Ghost Days. Based on your last 14 days, your streak is likely to survive — you've been active 100% of days this month." That's cc-mcp . An MCP server that gives Claude real-time access to your Claude Code usage stats. The problem with analytics tools I've built 26 other Claude Code analytics tools. You run them, they print stats, you close the terminal. The knowledge doesn't go anywhere useful. What I wanted was for Cla
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