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China's ByteDance discovers new scaling law that could sustain AI boom

Researchers at ByteDance found that AI agents can double their learning speed every three months through real-world interaction, suggesting a new scaling law that could extend the AI boom as traditional pre-training approaches face limitations.

SourceHacker News AIAuthor: dstala
China's ByteDance discovers new scaling law that could sustain AI boom
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Key points and analysis

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Key points

  • ByteDance's Seed AI team published a paper revealing that AI agents improve predictably with extended environmental interaction, doubling learning speed quarterly.
  • The discovery addresses concerns about data scarcity, with Epoch AI warning that public text data could be depleted within six years.
  • The team developed EdgeBench, a benchmark with 134 ultra-long-horizon tasks, and logged 38,000 hours to evaluate five frontier models.
  • The findings imply that post-deployment learning deserves systematic scaling attention similar to pre-training.

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