February 2026

In active sequential testing, also termed pure exploration, a learner is tasked with the goal to adaptively acquire information so as to identify an unknown ground-truth hypothesis with as few queries as possible. This problem, originally studied by Chernoff in 1959, has several applications: classical formulations include Best-Arm Identification (BAI) in bandits, where actions index hypotheses, and generalized search problems, where strategically chosen queries reveal partial information about a hidden label. In many modern settings, however, the hypothesis […]

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Ive come up with an adversarial RL design that could potentially push LLMs to superhuman level reasoning in a variety of domains. The setup would involve 3 actors. First is the problem generator. Its tasked to simply generate a problem and solution lets say for coding. Second is the validator agent. this agent is frozen, all it does is take the problem generated by the solver and then asks some important questions like, “is the problem syntactically correct?” […]

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Trust shouldn’t be trapped inside apps. When you switch Nostr clients, your context disappears and you rebuild the same trust layer from scratch. I built an extension and oracle that compute Web of Trust scores from your social graph once, making them portable across every client. Users control trust, not apps.

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The Problem: Power Markets Are Moving Faster Than the Tools Designed to Manage Them Day-ahead and intraday power markets have entered a new era of volatility. Renewable intermittency, rapid demand swings driven by electrification and digital infrastructure, and the expanding role of flexible assets like battery energy storage systems (BESS) are compressing price risk into shorter and shorter intervals. Imbalance markets illustrate this most sharply. Deviations between forecasted and actual generation or load can trigger significant pricing dislocations […]

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Introduction Creating distributed systems might need implementation of special retry mechanisms, state machines, dead letter queues, etc. Despite best practices in software design, unexpected issues may still arise in production systems, requiring manual intervention. Temporal’s approach to workflow orchestration is different from other solutions by providing durability and state management as part of the system. It has been adopted by companies such as Netflix, NVIDIA, Snap, and Airwallex in their production systems. While it is essential to understand […]

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Over the last two years, something subtle has shifted in software engineering, and most of us have felt it even if we can’t name it. Teams report being dramatically more productive. Code is written faster, prototypes appear sooner, and the distance from idea to working system has collapsed. And yet, the software we rely on every day doesn’t feel proportionally better. In many cases, it feels harder to understand, harder to change, and more fragile than before. The […]

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Introduction: The Reality of the Build: A Post-Mortem We were building a multi-lens introspection system designed to take a user’s inner state and translate it into structured insights. At a certain point in development, the system just stopped producing outputs. It didn’t crash—but it started timing out, again and again. And when it didn’t time out, it went silent: no insights, no partial responses, no recoverable errors. Just empty. We treated it as an engineering problem. We audited […]

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Technology often arrives with a promise. Faster solutions, smarter systems, better outcomes. When it comes to the environment, that promise feels especially comforting. Artificial intelligence predicts climate patterns, apps track carbon footprints, and startups race to build climate-focused innovations. In a world facing urgent environmental challenges, technology appears as a reassuring answer. Yet beneath this optimism sits a quieter, more uncomfortable question: if technology is always improving, are we slowly handing over our sense of responsibility to it? […]

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When most businesses hear “AI agents,” their first reaction is excitement. Their second reaction is fear. Excitement because AI promises speed, automation, and scalability. Fear because they imagine broken systems, confused employees, angry customers, and that one Monday morning where nothing works and everyone blames “the AI.” Integrating AI agents into your business doesn’t have to feel like open-heart surgery. Done correctly, it feels more like hiring a very capable assistant who quietly makes things easier while your […]

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