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China AI Model Stocks’ $150 Billion Drop Shows No Sign of Easing

There’s no end in sight for the selloff in China’s artificial intelligence model developer stocks, with competition growing ever more heated and the threat of rival listings next year.

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

Read the original at bloomberg.com →

More in AI

Beyond Copilots: What AI Agents Need to Understand Cloud Operations

Why useful infrastructure investigations depend on operational context, clear boundaries, and verifiable evidence. Giving an AI agent access to infrastructure tools creates possibilities.

  • Opsphere addresses AI agents' need to understand cloud operations in live environments.
  • Agents require contextual understanding, not just tool access, to avoid incorrect conclusions.

GitHub's New Whitespace Preferences: How to Review AI Code in Two Passes

A cleaner diff can help you understand a change. Before you merge, check what your review settings left out. You ask AI to fix one bug. It returns a change that also reformats half the file.

  • GitHub introduced new whitespace preferences for pull-request reviews.
  • First pass focuses on intended behavior and desired outcome.
  • Second pass reviews full diff, catching overlooked modifications.

AI code review on GitHub: what the platform decides for you

Search for how to add an AI reviewer to GitHub and you land on a pile of tool READMEs, a Reddit thread asking whether any of them are worth it, and GitHub's own Copilot documentation. Each one describes the product. None of them describe the layer underneath, which is where the behavior of the reviewer actually gets decided.

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