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Applied AI·September 10, 2026·1 min read

AI can’t mark its own homework

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If AI is accelerating code output, the new bottleneck is independent verification — especially for UI and visual regressions that models are bad at catching on their own. Teams scaling AI-assisted development should be investing in repeatable, model-agnostic visual testing now, or they'll ship defects at the speed of generation.

Applied AI

Researchers fear there's a chance AI could kill us all. Here's how experts say that might play out.

An Anthropic researcher’s resignation and expert scenarios for AI-driven catastrophe move existential risk from fringe debate into mainstream governance pressure. For operators, the near-term impact is more scrutiny on deployment, evals, and kill-switches—assume regulators and large customers will start asking how you’d prevent loss-of-control failure modes, not just prompt leaks.