arXiv:2602.21337v1 Announce Type: new Abstract: AI is becoming increasingly integrated into everyday life, both in professional work environments and in leisure and entertainment contexts. This integration requires AI to move beyond acting as an assistant for informational or transactional tasks toward a genuine collaborative partner. Effective collaboration, whether between humans or between humans and AI, depends on establishing and maintaining common ground: shared beliefs, assumptions, goals, and situational awareness that enable coordinated action and efficient repair of misunderstandings. […]

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arXiv:2603.08723v1 Announce Type: new Abstract: Alignment techniques in large language models (LLMs) are designed to constrain model outputs toward human values. We present preliminary evidence that alignment itself may produce collective pathology: iatrogenic harm caused by the safety intervention rather than by its absence. Two experimental series use a closed-facility simulation in which groups of four LLM agents cohabit under escalating social pressure. Series C (201 runs; four commercial models; 4 censorship conditions x 2 languages x 10 […]

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A step-by-step guide to containerizing a FastAPI application with Docker and deploying it to the cloud for consistent, production-ready delivery. Modern applications rarely live in isolation. They move between laptops, staging servers, and production environments. Each environment has its own quirks, missing libraries, or slightly different configurations. This is where many “works on my machine” problems begin. Docker was created to solve this exact issue, and it has become a core skill for anyone building and deploying software […]

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How are you, hacker? 🪐 What’s happening in tech today, January 16, 2026? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, Prohibition went into effect in the United States in 1920, Space Shuttle Columbia disintegrated upon re-entry in 2003, First Youtube video was posted in 2006, and we present you with these top quality stories. From The Secret Math Behind Every Creative Breakthrough to How to Build a DAO from Scratch with […]

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arXiv:2602.09071v1 Announce Type: new Abstract: The ability to automatically classify source code repositories with ”topics” that reflect their content and purpose is very useful, especially when navigating or searching through large software collections. However, existing approaches often rely heavily on README files and other metadata, which are frequently missing, limiting their applicability in real-world large-scale settings. We present DRAGON, a repository classifier designed for very large and diverse software collections. It operates entirely on lightweight signals commonly stored […]

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In this post, we will build a Lightning App. Why? Because it is 2022, and it is time to explore a more modern take on interacting with, presenting, and sharing our deep learning models. We are going to tackle this in three parts. In this first part, we will learn what a Lightning App is and how we build a Super Resolution GAN demo.

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arXiv:2602.07915v1 Announce Type: cross Abstract: Causal discovery from time series is a fundamental task in machine learning. However, its widespread adoption is hindered by a reliance on untestable causal assumptions and by the lack of robustness-oriented evaluation in existing benchmarks. To address these challenges, we propose CausalCompass, a flexible and extensible benchmark suite designed to assess the robustness of time-series causal discovery (TSCD) methods under violations of modeling assumptions. To demonstrate the practical utility of CausalCompass, we conduct […]

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In imitation learning, robots are supposed to learn from demonstrations of the desired behavior. Most of the work in imitation learning for swarm robotics provides the demonstrations as rollouts of an existing policy. In this work, we provide a framework based on generative adversarial imitation learning that aims to learn collective behaviors from human demonstrations. Our framework is evaluated across six different missions, learning both from manual demonstrations and demonstrations derived from a PPO-trained policy. Results show that […]

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