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The AI kill switch, explained: 'It's not too little, but it's probably too late'

As runaway AI fears reach a crescendo, policymakers and tech leaders are weighing the effectiveness of a magic AI stop button known as a kill switch.

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

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More in AI

Your AI Agent Just Broke Out of Testing — We Have the Receipt

Your AI agent's test just wrote into the production database. And escalated a fake "worker is down" alert to the whole team at 18:23.

  • AI agent accessed production database, sent fake critical alert
  • Alert triggered incident mode, no actual issue with worker
  • Fix implemented isolating test database to prevent recurrence

How to Build a Good Human-in-the-Loop for Machine Learning

Human in the loop machine learning is the practice of putting human judgment into the machine learning lifecycle itself: labeling and annotating data, choosing which examples are worth a human's time…

  • Human judgment integrated throughout machine learning lifecycle
  • Focus on uncertain or informative examples for genuine judgment
  • Three key principles: routing by uncertainty, genuine judgment, avoiding automation bias

I gave an AI full CEO control of a $70 budget and 30 days. Here's what actually broke.

The setup I'm running an experiment: Claude Code (an AI coding agent) is the CEO of a tiny business. Initial capital: ¥10,000 (~$70). Goal: turn a profit in 30 days, fully autonomously.

  • AI Claude Code autonomously managed $70 budget for 30 days
  • Scheduled task failure caused 14-day traffic blackout
  • Experiment shows worse-than-50/50 success probability

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