🤖 Auto-Grading Old Hacker News Predictions with GPT Insight
An inventive use of large language models for cultural analysis—this project showcases AI’s ability to measure human foresight and historical trends in online communities.
Andrej Karpathy presents a project that leverages GPT-5.1 to retrospectively analyze decade-old Hacker News threads. The system grades user predictions for accuracy, highlights who was right or wrong in hindsight, and automates large-scale data collection, analysis, and visualization for thousands of archived discussions.
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🧠 Qwen3-Omni-Flash: Alibaba’s Next-Gen Multimodal AI Breakthrough
A significant step in Alibaba’s AI race, this release positions Qwen as a serious competitor to GPT and Gemini, pushing forward real-time, multilingual, multimodal intelligence.
Alibaba’s Qwen team introduces Qwen3-Omni-Flash-2025-12-01, a next-generation multimodal AI model that seamlessly handles text, image, audio, and video inputs. It enhances logical reasoning, multilingual fluency, and human-like speech synthesis, achieving stronger benchmark performance and finer prompt control across modalities.
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🧩 Edge Detection for Smarter Image Downsampling
A fun yet instructive project blending creative coding and computer vision, great for exploring how algorithms preserve structure in visual data.
Pixel Mosaic is an interactive visualization tool that lets users explore adaptive pixelation with edge detection. It offers fine-grained control over pixel size, color limits, and sharpness to preserve key visual features during downsampling.
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⚡ Get in Line – Building a Superfast SPSC Queue in Rust
A must-read for systems programmers—this post highlights the precision and rigor of Rust’s approach to concurrency and performance optimization.
This article walks through the creation of an ultra-low-latency single-producer single-consumer queue in Rust. It examines the balance between locks, atomic operations, and memory ordering to reach near-hardware performance levels.
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🔧 Common Lisp, ASDF, and Quicklisp: A Clear Guide to Packaging
A concise and practical roadmap for developers navigating Lisp’s powerful but intricate toolchain.
This detailed guide explains how Common Lisp’s ecosystem components—core language, ASDF for system definitions, and Quicklisp for dependency management—work together. It clarifies relationships between packages, systems, and modules, offering best practices for organization, portability, and modern development.
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