The tendency of generative artificial intelligence (AI) sys tems to "hallucinate" false information is well-known; AI-generated cit ations to nonexistent sources have made their way into the reference list s of peer-reviewed publications. Here, I propose a solution to this pr oblem, taking inspiration from the T ransparency and Openness Promotion ( TOP) data sharing guidelines, the clash of generative AI with the Amer ican judiciary, and the precedent set by submissions of prior art to the Unite d States Patent and T rademark Office. Journals should require authors to sub mit the full text of each cited source along with their manuscripts, ther eby preventing authors from citing any material whose full text they cannot produce. This solution requires limited additional work on the part of aut hors or editors while effectively immunizing journals against hallucinat ed references. Within the same month, commenters on Pub-Peer raised concerns regarding the article's reference list.

Although the rise of Large Language Models (LLMs) in enterprise settings brings new opportunities and capabilities, it also brings challenges, such as the risk of generating inappropriate, biased, or misleading content that violates regulations and can have legal concerns. To alleviate this, we present "LLMGuard", a tool that monitors user interactions with an LLM application and flags content against specific behaviours or conversation topics. To do this robustly, LLMGuard employs an ensemble of detectors.

On Thursday, jurors convicted former crypto mogul Sam Bankman-Fried of defrauding his customers out of as much as $10 billion. He will likely spend the rest of his 30s--and possibly his 40s, 50s, and 60s--in prison. The judge is expected to sentence him in March. As former confidants and close friends testified against him during his monthlong trial, Bankman-Fried's parents, Joseph and Barbara, showed up day after day to support their son, whose crypto exchange FTX imploded late last year. The Stanford Law professors' hand gestures and facial expressions played prominently into journalists' recounts of the proceedings, offering the real-life version of the cutaway shot integral to any courtroom TV show.