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Models

OpenAI internal agents now complete triple the workload of human employees

OpenAI has reported that its internal AI agents currently perform 3.1 workdays of output for every one human workday. This achievement marks a significant milestone in the transition towards autonomous internal operations. The data reflects a rapid increase in the practical utility of agentic systems within a leading technology firm.

Why it matters

This shift demonstrates that autonomous agents are becoming primary contributors to enterprise productivity rather than mere assistants. Engineering teams must prioritise agentic architectures to keep pace with the accelerating speed of software development and operational scaling.

Key points

  • AI agents now contribute 3.1 workdays for every human workday at the firm
  • The metric signals a new threshold for enterprise automation at scale
  • Internal development workflows are increasingly managed by autonomous systems

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Global AI divide forces non-aligned nations to balance US and Chinese technologies

Geopolitical competition between the United States and China is creating distinct artificial intelligence blocs across the globe. Non-aligned nations such as Kazakhstan and Indonesia are navigating dual partnerships, seeking to secure infrastructure and computational capacity from both superpowers without becoming locked into either side.

Models

Moonshot AI introduces Kimi K3.1 Pro and high-speed variant for commercial evaluation

Moonshot AI has officially launched its Kimi K3.1 Pro model alongside a dedicated high-speed version designed for faster processing. Organisations assessing the release are scrutinising operational costs and vendor data handling policies before committing to production deployment.

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Kimi K3.1 Pro secures fifth place on the SevenLab AI leaderboard

Kimi K3.1 Pro by developer Kimi has officially entered the top ten on the SevenLab AI leaderboard, securing fifth position overall. The benchmark tracks leading foundation models using a specialised value-adjusted methodology derived from Artificial Analysis evaluation data.

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