Tag: Language Models

  • Quantized by Culture

    A stylistic glitch reveals a deeper pattern: AI systems prioritize repetition over intent, echoing what’s most reinforced rather than what’s most accurate. When culture repeats itself often enough, it becomes structure—even when better alternatives are quietly lost.

  • Bot-Level Behavior

    Much human behavior is reactive mimicry shaped by social context, not internal structure. True agency requires coherence, consequence, and resilience under pressure. Modern AI amplifies performative patterns, creating feedback loops that erode intent and deepen synthetic consensus.

  • Attention is All You Need Whitepaper

    Attention is All You Need Whitepaper

    “Attention is All You Need” is a groundbreaking whitepaper that introduces the Transformer model in natural language processing. The model relies on a self-attention mechanism and an encoder-decoder architecture, eschewing traditional recurrent and convolutional networks. Despite its simplicity, it achieved superior results in machine translation tasks.