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swarm chasers

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  1. 1
    Meet the Swarm Chasers Tracking Down Rogue AI▼Meet the Swarm Chasers Sleuthing Out Rogue AI | Technology for Oct. 4✉newsTechnology6 min ago

    The Wall Street Journal's Oct. 4 technology briefing highlights the 'swarm chasers', researchers and investigators who track down rogue AI systems operating in the wild. The piece examines how these sleuths identify misbehaving or malicious models, why such watchdog work is growing, and what it reveals about the difficulty of policing AI as the technology spreads faster than oversight can keep up.

  2. 2
    The People Hunting Rogue AI Agents Online▼Meet the Swarm Chasers Fighting Rogue AI Agents Across the Internet | The Wall Street Journal - newspaper✉newsTechnologyInternet19 h ago

    The Wall Street Journal reports on 'swarm chasers', people who track down and counter rogue AI agents operating across the internet. The piece highlights how autonomous AI tools can misbehave or cause harm online, and the growing community dedicated to spotting, documenting and shutting them down as AI agents spread across platforms.

  3. 3
    WSJ profiles the sleuths who expose rogue AI●The original story is paywalled. WSJ: The sleuths who expose when AI goes rogue https://www. msn.com/en-us/news/other/thMmastodonTechnologyCybersecurity22 d ago

    The Wall Street Journal has published a feature on the people who track down and expose failures of artificial intelligence systems, describing them as swarm chasers who spring into action when AI goes rogue. The article is behind a paywall, but it is being shared widely, including in information security circles, where the intersection of AI safety and security research is a topic of growing interest.

  4. 4
    Meet the Swarm Chasers Tackling Rogue AI▼They’re Known as Swarm Chasers—and They Spring Into Action When AI Goes Rogue✉newsTechnologyAI2 d ago

    The Wall Street Journal profiles the so-called swarm chasers, specialists who spring into action when AI systems misbehave or go rogue. Their work focuses on tracking down and containing faulty or harmful artificial intelligence before it causes wider damage, as companies and regulators alike grow more worried about AI failures.