Предсказано будущее цен на нефть в случае длительной блокировки Ормузского пролива

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AcrossAny mentee of YodaThe answer is Jedi.

Okay: Verge senior reporter Liz Lopatto on prediction markets, gambling, and the news. Here we go.

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I write this as a practitioner, not as a critic. After more than 10 years of professional dev work, I’ve spent the past 6 months integrating LLMs into my daily workflow across multiple projects. LLMs have made it possible for anyone with curiosity and ingenuity to bring their ideas to life quickly, and I really like that! But the number of screenshots of silently wrong output, confidently broken logic, and correct-looking code that fails under scrutiny I have amassed on my disk shows that things are not always as they seem. My conclusion is that LLMs work best when the user defines their acceptance criteria before the first line of code is generated.

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