Finance & AI/ML blog

Finance + AI, explained for builders

Daily AI updates, practical tooling notes, and finance analysis with a bias toward what you can actually do next.

Latest Articles

  • Daily AI Brief — April 6, 2026

    Daily AI Newsletter Daily AI Brief — April 6, 2026 Top AI developments from the last 24 hours, with direct source links. TL;DR Today’s cycle skewed toward AI governance and deployment economics: Reuters highlighted AI pressure on India’s IT outlook, WSJ and Axios pointed to tightening capital/agent-market narratives, while public-sector adoption stories (USGS, ProPublica) showed

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AI

  • Autonomous Coding Is Here (Sort Of): What a Linux-Building AI Compiler Reveals

    A 16-agent team built a Rust C compiler that can build Linux. Here’s what the harness, tests, parallelism, and limits teach us about autonomy.

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  • Beyond the Magnificent Seven: Finding AI Value in the 2026 Pullback

    February 2026 has produced a notably uneven tape for technology: broad market strength has been punctuated by repeated “safe haven” rotations into energy and staples, while higher-beta AI-linked equities have absorbed sharp drawdowns. In that context, 20–30% pullbacks can look less like a verdict on AI demand and more like a repricing of duration, volatility,

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  • AI Stocks in 2026: Reading Volatility Through Fundamentals (Not Headlines)

    Early 2026 has brought sharp swings in AI-related equities—an echo of last year’s “DeepSeek” dip—where narrative and positioning can move prices faster than underlying business performance. The core question is whether the current drawdowns reflect deteriorating adoption, or a temporary repricing driven by macro conditions and sentiment. This article examines the “buy-the-dip” logic through a

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Finance

  • Beyond the Magnificent Seven: Finding AI Value in the 2026 Pullback

    February 2026 has produced a notably uneven tape for technology: broad market strength has been punctuated by repeated “safe haven” rotations into energy and staples, while higher-beta AI-linked equities have absorbed sharp drawdowns. In that context, 20–30% pullbacks can look less like a verdict on AI demand and more like a repricing of duration, volatility,

    Read

  • AI Stocks in 2026: Reading Volatility Through Fundamentals (Not Headlines)

    Early 2026 has brought sharp swings in AI-related equities—an echo of last year’s “DeepSeek” dip—where narrative and positioning can move prices faster than underlying business performance. The core question is whether the current drawdowns reflect deteriorating adoption, or a temporary repricing driven by macro conditions and sentiment. This article examines the “buy-the-dip” logic through a

    Read