Category: GPTs
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The Rise of the AI Prophetes: Translating the Machine Oracle
Wisdom from the Past, Guidance for the Future Throughout history, societies have sought wisdom from oracles, prophets, and divination systems. Two of the most famous examples of this are the Oracle of Delphi in ancient Greece and the I Ching in China. These systems were not merely about predicting the future but served as mechanisms…
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When AI Masters Competitive Programming: Why Generalists Outperform Specialists
AI Joins the Competitive Coding Arena For years, competitive programming has been a playground for the sharpest human minds, where coders battle against the clock to solve complex algorithmic puzzles. It’s a test of pure computational reasoning—one that many believed would remain a human stronghold. But OpenAI’s latest research suggests otherwise. In the paper “Competitive…
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AI as an Employee: Why Risk Management for AI Should Mirror Human Accountability
Why the Regulatory Frenzy? The rapid advancement of artificial intelligence has ignited widespread debate about its regulation, accountability, and societal impact. In response, the European Union has introduced the EU Artificial Intelligence Act, a comprehensive legal framework designed to ensure AI is deployed safely and ethically. While well-intentioned, this regulatory push raises a fundamental question:…
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How DeepSeek’s Mathematical Optimizations Complement NVIDIA’s NCCL for Efficient AI Training
As artificial intelligence models grow in scale, the efficiency of both computation and communication becomes critical. Large-scale training across multiple GPUs requires sophisticated optimizations not only in model architecture but also in inter-GPU communication. DeepSeek, a powerful AI model, employs a series of mathematical tricks that enhance efficiency, and these techniques are closely tied to…
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When Metrics Go Wrong: A Tale of Goodhart’s Law and AI Misalignment
Picture this: A well-meaning manager decides to measure programmer productivity by counting lines of code written. Soon enough, developers start writing unnecessarily verbose code, splitting single-line operations across multiple lines, and copying-and-pasting redundant functions. The codebase bloats, maintenance becomes a nightmare, and actual productivity plummets. Welcome to Goodhart’s Law in action: “When a measure becomes…