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AI Appears to Rapidly Be Approaching Brick Wall Where It Can't Get Smarter


Research indicates AI may hit a bottleneck in intelligence as companies like OpenAI are depleting available human-written training data. With diminishing new content and lawsuits over data use, AI advancement could stall. Larger models like GPT-4 may exhaust data sources by 2026, while training on AI-generated data could lead to quality erosion, creating an 'autophagous loop.' Despite challenges, efficiency improvements in AI could negate the need for vast training data.

  • AI may approach an intelligence bottleneck
  • Training data for AI is rapidly depleting
  • Large models could run out of data by 2026
  • AI-generated data could erode output quality
  • Efficiency improvements in AI could help