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LLMs vulnerable to fundamental flaw; geothermal revived; AI chip boom boosts SK Hynix

Researchers have identified a fundamental flaw in large language models that makes them vulnerable to attacks, potentially allowing them to reveal sensitive information or instructions they are programmed to withhold. Separately, a company called Zanskar has successfully revived a failing geothermal plant in New Mexico by using advanced modeling and modern drilling techniques to find a new well site. Additionally, SK Hynix is experiencing a boom in AI chip production, leading to significant bonuses for its employees. AI

IMPACT Fundamental LLM vulnerabilities could necessitate new security paradigms, while AI chip demand continues to drive significant industry profits.

RANK_REASON The cluster covers multiple distinct news items from a newsletter, including a research finding about LLMs, a climate tech success story, and an industry business update, rather than a single originating event.

Read on MIT Technology Review →

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LLMs vulnerable to fundamental flaw; geothermal revived; AI chip boom boosts SK Hynix

COVERAGE [1]

  1. MIT Technology Review TIER_1 English(EN) · Charlotte Jee ·

    The Download: tricking LLMs, and reviving geothermal plants

    This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. A fundamental flaw leaves LLMs strikingly vulnerable to attack It is impossible to make large language models fully secure against…