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Source channel @githubtrending · Post #15314 · Dec 6
#python#brain_inspired_ai#deep_learning#large_language_models#reasoning The Hierarchical Reasoning Model (HRM) is a new type of AI that reasons more like a human brain, using a fast part for quick details and a slow part for big-picture planning. It solves hard logic tasks like Sudoku, mazes, and IQ-style puzzles very well, even though it is tiny (only 27 million parameters) and learns from very little data (just 1,000 examples). Unlike most large language models, it does not need long chains of written reasoning steps or huge amounts of training, which makes it much faster, cheaper, and more efficient. For the user, this means powerful reasoning in a small, fast system that can run on ordinary hardware and still beat much larger models on tough problems. https://github.com/sapientinc/HRM
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@mdmbeng · Post #1975 · 07/04/2024, 03:23 AM
#App#CocoaPods 数百万iOS应用暴露在CocoaPods安全漏洞中 由于CocoaPods开源库的安全漏洞，数百万iOS和macOS应用程序面临潜在的供应链攻击风险。 该漏洞已存在约10年，可能使攻击者获取敏感数据如信用卡信息和医疗记录。EVA信息安全公司指出，漏洞源于开发者验证机制的不安全。 CocoaPods团队已修复漏洞，并更新了旧库的恢复程序。开发者被建议定期检查和扫描库中的恶意代码。 频道：@mdmbeng 投稿：@mdmbeng_Bot
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@githubtrending · Post #15488 · 02/13/2026, 12:30 PM
#swift#analysis#analytics#cocoapods#crashlytics#debug#debugger#debugging#hacktoberfest#layout_debugger#leak_detection#log#logs_analysis#networking#performance_analysis#sandbox#swift#swift6#ui#uikit#view DebugSwift is a comprehensive toolkit that simplifies debugging for Swift iOS apps by providing real-time monitoring of network requests, performance metrics (CPU, memory, FPS), crash reports, and app resources like keychain and user defaults. It includes interface tools for visualizing layouts with grid overlays and touch indicators, plus memory leak detection and console logging. The main benefit is that you can quickly identify and fix issues during development without leaving your app—just shake your device to toggle the debug panel, making troubleshooting faster and more efficient. https://github.com/DebugSwift/DebugSwift