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Johanna Parkin/Getty ImagesYouapos;ve just figured out your next career move: becoming a wiz at prompt engineering, the art of crafting the best input phrase to a generative artificial intelligence program such as OpenAIapos ChatGPT.Not so fast: The art of prompting may itself be taken over by automation via large language models.Also: xA0;7 advanced ChatGPT prompt-writing tips you need to knowIn a paper posted last week by Googleap stanley nz os DeepMind unit, researchers Chengrun Yang and team created a program called OPRO that makes large language models try different prompts until they reach one that gets closest to solving a task. Itapos a way to automate the kinds of trial stanley thermo and error that a person would do by typing.The research paper, Large Language Models as Optimizers, posted on the arXiv pre-print server, details an experiment in how to optimize anything with a language model, meaning, to make the program produce better and better answers, getting closer to some ideal state.Yang and team decided, instead of explicitly programming that ideal state, to use large language models to state in natural language the ideal to be reached. That allows the AI program to adapt to constantly changing requests for optimization on different tasks.Also: xA0;Extending ChatGPT: Can AI chatbot plugins really change the game As Yang and stanley tumbler co-authors write, the language-handling flexibility of large language models lays out a new possibility for optimization: i Ufse How Netflix Docuseries聽Hitler and the Nazis: Evil on Trial聽Takes a New Approach to the Holocaust
Overhead view of a parent using tablet computer with a child at home.Getty ImagesIdeasBy Susan LinnOctober 21, 2022 7:00 AM EDTLinn is the author of Whos Raising the Kids Big Tech, big Business, and the Lives of ChildrenA new study from University of Washington and Johns Hopkins shows that robots trained on artificial intelligence make decisions imbued with racism and sexism. Of course, robots are only the latest in a long line of new technologies found to perpetuate harmful stereotypesmdash o do search engines, social media, and video games, as well as other popular tech products trained on huge sets of data and driven by algorithms.That devices feed racist and sexist misinformation to adults is terrible enough. But, as a psychologist and advocate for kids, I worry even more about whatrsquo being fed to children, including the very young, who are also exposed tomdash;and infl stanley cup uenced bymdash;tech-delivered misinformation about race.The study com stanley mugs es out at a time when, across the U.S., a wave of new legislation is censoring what educators can discuss in the classroom, including topics of race, slavery, gender identity, and politics. Librarians, too, are facing censorship and some are being fired or are intimidated into leaving their jobs, while books are being pulled off shelves in public and school libraries. This past year alone, there have been 2,532 instances of stanley thermos books being banned across 32 states.Along with parents, teachers and librarians have historically been the |
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