A fundamental flaw leaves LLMs strikingly vulnerable to attack

A fundamental flaw leaves LLMs strikingly vulnerable to attack. It is impossible to make large language models fully secure against hacks because of a fundamental flaw in how they work, a team of researchers argue in a paper presented at the International Conference on Machine Learning, a top AI conference, this month.

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Trechos de apoio da pauta: It is impossible to make large language models fully secure against hacks because of a fundamental flaw in how they work, a team of researchers argue in a paper presented at the International Conference on Machine Learning, a top AI conference, this month. The claim has huge implications for the safety of this technology, which is being used in more and more applications, from government and military systems to online shopping and health care.

• Ponto de atenção: fundamental.
• Ponto de atenção: flaw.
• Ponto de atenção: leaves.

Em resumo, a leitura editorial acompanha o impacto do tema no nicho Tech.

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