🧮 Bidicalc: A Bidirectional Spreadsheet for Smarter Math Modeling
A creative fusion of math and UX design that rethinks how spreadsheets can work—clever, educational, and full of open-source spirit.
Bidicalc is an open-source experimental spreadsheet in TypeScript that enables bidirectional updates—users can edit results directly, and the tool back-calculates input values automatically. Powered by a hybrid solver combining constraint propagation, Newton’s method, and binary search, it reimagines spreadsheets as flexible tools for mathematical modeling and computational experimentation.
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💡 Pop Goes the Population Count: Understanding Bit Counting in C
A concise and practical look at compiler-level optimization—great for anyone curious about how compilers turn patterns into single instructions.
Matt Godbolt’s blog post explores several techniques for computing population count—the number of set bits—in C. It demonstrates manual loop implementations and shows how modern compilers automatically optimize them into the efficient ‘popcnt’ instruction.
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🚗 Rivian Reveals Custom AI Chip, LiDAR Roadmap, and Next-Gen Autonomy Platform
A strong leap toward vertically integrated AI—Rivian is moving closer to Tesla’s playbook with full-stack autonomy powered by custom silicon.
At its Autonomy and AI Day, Rivian showcased major milestones in AI-driven vehicle intelligence. Highlights include its first in-house 5nm autonomy processor (RAP1), plans for LiDAR integration, a self-improving Large Driving Model, Universal Hands Free capability for current models, and an upcoming Autonomy+ subscription service. The company also introduced the Rivian Assistant voice system and AI-based diagnostics to enhance user experience and maintenance efficiency.
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💭 AI Optimism Is a Class Privilege
A compelling critique that challenges readers to see AI not just as a technical revolution, but as a mirror of social and economic divides.
Josh Collinsworth contends that enthusiasm for AI often reflects social and economic privilege. While some enjoy productivity gains, others face displacement, exploitation, and loss of agency. The essay reframes AI ethics as a class issue, emphasizing the real-world inequalities behind the technology’s optimism.
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🐍 Application Logging in Python: Practical Recipes for Better Observability
A thorough and practical resource for developers looking to strengthen their Python observability practices through modern, structured logging.
This guide by Dash0 details how to design structured and contextual logging systems for production Python applications. It explains logger hierarchies, handlers, formatters, and JSON outputs, plus how to enrich logs with contextual data and integrate with observability frameworks like OpenTelemetry.
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