😂 Kagi Bloopers – When Search Results Go Hilariously Wrong
A playful yet transparent initiative that shows Kagi’s openness to user feedback and its willingness to laugh at itself while improving search quality.
Kagi presents a fun collection of quirky and unexpected search results submitted by users. This section showcases the lighter side of search engine behavior while engaging the community to share their own discoveries.
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🧩 Show HN: Tiny Diffusion – A Character-Level Text Diffusion Model from Scratch
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⚡ 10 Smart Patterns for Faster Python Code
A must-read for Python developers focused on performance — blending practical optimization habits with solid language fundamentals. Also highlights PyCharm’s AI-assisted refactoring capabilities.
JetBrains’ PyCharm blog features deep learning engineer Dido Grigorov explaining ten effective ways to accelerate Python code. The article covers using sets for faster lookups, reducing data copies, applying __slots__ for memory savings, leveraging math and bisect modules, and minimizing exceptions or redundant function calls in loops. Each tip is benchmark-backed to improve performance without sacrificing code clarity.
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