🔧 Addressing the Adding Situation: How Compilers Optimize Arithmetic
A fascinating insight into compiler craftsmanship—Godbolt shows how subtle hardware limitations inspire creative optimization strategies in modern code generation.
In this Advent of Compiler Optimisations 2025 entry, Matt Godbolt explains how x86 compilers exploit the ‘lea’ (Load Effective Address) instruction to perform additions efficiently. Because x86 supports only two operands per instruction, ‘lea’ serves as a smart workaround for multi-operand arithmetic, reducing instruction count and preserving registers for later use.
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🤖 Google, Nvidia, and OpenAI: The New Power Struggle in AI
A sharp strategic read that captures how the balance of power in AI is shifting from sheer model performance to ecosystem control and business model execution. It’s a must-read for those tracking the intersection of infrastructure, platforms, and product strategy in the AI economy.
Ben Thompson’s Stratechery article analyzes the rivalry between Google, Nvidia, and OpenAI as a modern ‘hero’s journey.’ He explains how Google’s Gemini 3 revival threatens Nvidia’s hardware dominance and OpenAI’s leadership in model innovation. Nvidia could lose ground if Google’s TPUs succeed, while OpenAI’s reliance on user growth without a strong monetization model may erode its edge. Ultimately, OpenAI’s greatest strength—its vast ChatGPT user base—might not be enough without a sustainable business strategy.
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🦀 MADstack: Rust Web Stack with AI Components
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