February 2026

Hi all, We’ve been thinking about a core limitation in current mobile AI assistants: Most systems (e.g., Apple Intelligence, Google Assistant–style integrations) rely on predefined schemas and coordinated APIs. Apps must explicitly implement the assistant’s specification. This limits extensibility and makes the ecosystem tightly controlled. On the other hand, GUI-based agents (e.g., AppAgent, AutoDroid, droidrun) rely on screenshots + accessibility, which gives broad power but weak capability boundaries. So we built Mobile-MCP, an Android-native realization of the Model […]

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Handling missing data is a central challenge in quantitative research, particularly when datasets exhibit complex dependency structures, such as nonlinear relationships and interactions. Multiple imputation (MI) via fully conditional specification (FCS), as implemented in the mice R package, is widely used but relies on user-specified models that may fail to capture complex dependency structures, especially in high-dimensional settings, or on more sophisticated algorithms that are considered data-hungry. This paper investigates the performance of TabPFN, a transformer-based, pretrained foundation […]

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In February 2026, something extraordinary happened in China. An AI chatbot launched a Lunar New Year promotion offering free bubble tea. Within 9 hours, more than 10 million orders flooded in. The total transaction value reached approximately 250 million yuan, or $36 million. Stores ran out of ingredients. Delivery riders queued for hours. Servers buckled. Cafes temporarily shut down. This was not a cyberattack. It was an AI-driven stress test of the physical economy. And the physical economy […]

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Differentially private federated learning (DP-FL) enables clients to collaboratively train machine learning models while preserving the privacy of their local data. However, most existing DP-FL approaches assume that all clients share a uniform privacy budget, an assumption that does not hold in real-world scenarios where privacy requirements vary widely. This privacy heterogeneity poses a significant challenge: conventional client selection strategies, which typically rely on data quantity, cannot distinguish between clients providing high-quality updates and those introducing substantial noise […]

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Residential proxies are one of the most misunderstood tools in modern web development.  Some developers associate them only with scraping, others think they are a niche security trick, and many simply avoid them because the terminology sounds complex.  In reality, residential proxies are a practical infrastructure component that solves real engineering problems related to access, reliability, testing, and data collection.  If you build applications that interact with the public internet, understanding how residential proxies work can help you […]

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You might have heard Linux Torvalds’ name a dozen times, but you might not have heard of Richard Stallman. And that is a pity! (This is a longer story, so please stay to the end about the 2026 interview that almost happened.) In the sprawling, sterilized history of the digital age, Richard Matthew Stallman (RMS) exists as a singular, indigestible singularity. He is the ghost in the machine of modern computing, a figure whose code runs the internet […]

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This guide builds a content analysis system using Strands multi-agent swarms (sentiment, toxicity, and analysis agents via Ollama Llama 3.1), plus automated evaluation with LLM as judge scoring correctness and relevance.

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Common Golang code bugs to point out quickly during code reviews.

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Buy Now, Pay Later in 2026 is neither a button nor a product anymore. Instead, it’s a real-time probability engine deciding whether you’re a fraud bot, a high-risk borrower, or somebody worth extending credit to.

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If effort were purely romantic, it wouldn’t fail so often. What if the real issue isn’t love, but lack of structure?

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