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AI language models' context windows have grown 3,906x since 2017 while human attention spans have shrunk to a fraction of their capacity, creating a widening cognitive gap.

arXiv cs.CLMar 31, 20261 min read
AI language models' context windows have grown 3,906x since 2017 while human attention spans have shrunk to a fraction of their capacity, creating a widening cognitive gap.

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3 Key Points

  1. LLM context windows exploded from 512 tokens in 2017 to 2 million tokens by 2026, doubling every ~14 months

  2. Human Effective Context Span declined from 16,000 tokens (2004) to just 1,800 tokens by 2026, based on reading-rate analysis and behavioral data

  3. The AI-to-human cognitive ratio shifted from near parity at ChatGPT's launch (November 2022) to extreme divergence by 2026

  4. This self-reinforcing 'Cognitive Divergence' reflects how delegation to AI may further erode human sustained attention capacity

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