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Evolutionary Stability Does Not Guarantee Learning Accessibility: A Multi-Agent Reinforcement Learning Perspective on Cooperation Emergence

Cooperation emergence is a central problem in multi-agent systems because decentralized agents must coordinate while adapting to the changing behavior of others. Evolutionary game theory identifies strategically stable outcomes, but stability under a population adjustment dynamic need not imply that finite-sample learning agents can reach the same outcome through local reward feedback. We study…

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

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Forget robots: The real AI threat is already here

Expert warns AI poses real danger to humanity, as OpenAI and Anthropic signal it is time to slow down and set boundaries before it is too late.

  • AI poses genuine threat to humanity, not development itself
  • Flawed AI decisions replicate biases in credit, employment
  • Governments, educators, companies must ensure AI benefits humanity

Andrew Kelley Interview: Why He Built Zig, Banned AI Contributions, and Moved Zig off GitHub

In a JetBrains interview, Zig creator Andrew Kelley expanded on the project’s formal ban on AI contributions and the motivation behind its migration off GitHub to Codeberg: automated code submissions…

  • Andrew Kelley bans AI contributions to Zig due to poor code quality and wasted review time.
  • Kelley emphasizes Zig's educational mission, focusing on growing actual engineers as contributors.

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