Can bigger-is-better 'scaling laws' keep AI improving forever? History says we can't be too sure

Phys.org — AI & Machine LearningSaturday, November 29, 2025 at 4:30:01 PM
Can bigger-is-better 'scaling laws' keep AI improving forever? History says we can't be too sure
  • OpenAI CEO Sam Altman has emphasized the importance of scaling laws in artificial intelligence (AI) development, suggesting that larger models could lead to continuous improvements in AI capabilities. However, historical precedents indicate that such assumptions may not hold true indefinitely, raising questions about the sustainability of AI advancements.
  • This focus on scaling laws is critical for OpenAI as it navigates the competitive landscape of AI technology, particularly following the transformative impact of ChatGPT on the market and its influence on investor behavior and stock valuations.
  • The ongoing discourse around AI scaling laws reflects broader concerns regarding the limitations of current AI models, including issues of user engagement and safety. As OpenAI continues to innovate, it faces challenges in balancing technological advancements with ethical considerations and user well-being, particularly in light of recent criticisms regarding the psychological effects of its products.
— via World Pulse Now AI Editorial System

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