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Fundamentals
Precision and Confusion in AI Language
The Illusion of Intelligence: Large Language Models vs Human Cognition
Confirmation Bias, Dunning-Kruger, and LLM Echo Chambers
Revisiting User-Induced Bias with OpenAI’s gpt-oss-20b
A High-Level Overview of Large Language Model Training
Quick Byte: What Is Quantization?
Pattern Priming in Prompting: How to Shape LLM Output with Statistical Cues
Why LLMs Aren’t Black Boxes
Looking Back at ELIZA
Beyond the Hype: A Technical Look at the Limits of Transformer AI
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