Critiqs

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AI Brief

  • OpenAI, Anthropic and Meta push to build complex testing platforms where models learn via trial and error rather than fixed data.
  • Microsoft adds write, edit and simplify tools to the free version of Notepad for those using its newer service tier.
  • Surge, Scale AI, and others racing to supply simulated workspaces to major firms as demand for these grows fast.
  • Labs building these test settings foresee big costs in compute and design to make them realistic enough for daily use.
  • Major AI firms see gaps in current agents’ ability to do multi-step tasks reliably, pushing shift towards interactive training systems.

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