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AI inference costs surge #aiinference #agenticai #aibudgets
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What you see is not a direct recording of reality. The human brain constantly interprets light, depth, and context, filling gaps with assumptions to make sense of the world. Optical illusions like the Müller-Lyer and Jastrow effects reveal how identical shapes can appear different simply because surrounding cues change. Why it matters: perception is an inference engine, not a camera, and understanding its limits is critical for design, safety systems, and human-machine interfaces. Follow for dai
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If you want sharper reasoning than 95% of people, read these: 📘 1️⃣ The Power of Logic by Daniel Howard-Snyder — Precision in argument, inference, and assumption testing. “Common sense” often isn’t logical at all. 📗 2️⃣ An Introduction to Non-Classical Logic by Graham Priest — A difficult but powerful exploration of fuzzy logic, paraconsistent logic, and systems that challenge classical assumptions. 📕 3️⃣ Introduction to Phenomenology by Robert Sokolowski — What if formal logic doesn’t captur
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NVIDIA Invests $20B in Groq's AI Inference Technology
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