February 2026

Recurrent and deep neural networks (RNNs/DNNs) are cornerstone architectures in machine learning. Remarkably, RNNs differ from DNNs only by weight sharing, as can be shown through unrolling in time. How does this structural similarity fit with the distinct functional properties these networks exhibit? To address this question, we here develop a unified mean-field theory for RNNs and DNNs in terms of representational kernels, describing fully trained networks in the feature learning ($μ$P) regime. This theory casts training as […]

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But the intellectually interesting part for me is something else. I now have something close to a magic box where I throw in a question and a first answer comes back basically for free, in terms of human effort. Before this, the way I’d explore a new idea is to either clumsily put something together myself or ask a student to run something short for signal, and if it’s there, we’d go deeper. That quick signal step, i.e., […]

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2025 is the year AI stopped feeling like a “tool you try” and started being treated as something engineering teams have to operate. In January, most engineering teams experienced AI through copilots and chat assistants. They were useful, sometimes impressive, but still easy to keep at arm’s length: a tab in your IDE, a prompt window on the side, a helper that sped up the parts of the job you already understood. By December, the center of gravity […]

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:::info Astounding Stories of Super-Science February, 2026, by Astounding Stories is part of HackerNoon’s Book Blog Post series. You can jump to any chapter in this book here. The Moors and the Fens, volume 1 (of 3) – Chapter III: Introduces Mr. Alfred Westwood Astounding Stories of Super-Science February 2026: The Moors and the Fens, volume 1 (of 3) – Chapter III Introduces Mr. Alfred Westwood By J. H. Riddell ::: One chilly day in that most depressing of […]

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As we move into 2026, the demand for fast, reliable, and real-time financial data continues to grow. Developers, analysts, and financial institutions increasingly rely on accurate market insights to build smarter tools and make informed decisions. Financial APIs are now transforming how market data is accessed, analyzed, and applied across global markets. Whether you are building a next-generation personal finance application or powering a high-frequency trading system, Stock Market Data APIs and Forex Data APIs play a critical […]

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The Day Your LLM Stops Talking and Starts Doing There’s a moment in every LLM project where you realize the “chat” part is the easy bit. The hard part is everything that happens between the user request and the final output: gathering missing facts, choosing which tools to call (and in what order), handling failures, remembering prior decisions, and not spiraling into confident nonsense when the world refuses to match the model’s assumptions. That’s the moment you’re no […]

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Mood instability is a key behavioral indicator of mental health, yet traditional assessments rely on infrequent and retrospective reports that fail to capture its continuous nature. Smartphone-based mobile sensing enables passive, in-the-wild mood inference from everyday behaviors; however, deploying such systems at scale remains challenging due to privacy constraints, uneven sensing availability, and substantial variability in behavioral patterns. In this work, we study mood inference using smartphone sensing data in a cross-country federated learning setting, where each country […]

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Claude Code is my daily driver for coding. It’s an agentic CLI tool from Anthropic that reads your codebase, edits files, runs commands — and it’s genuinely good at it. But it has one limitation that kept bothering me: it only talks to one API backend at a time. That’s fine until Anthropic is rate-limited. Or down. Or you want to try a cheaper provider for routine tasks. Or you want teammates on a different backend than your […]

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