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by emilenchev
2057 days ago
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Now make Google Search again with date restriction before 1 April 2020. "After two days of intense debate"
"the United Methodist Church has agreed to"
"one that is expected to end"
"in the creation of a new denomination" You will find and sources of GPT-3 text: After two days of intense debate, the United Methodist Church has agreed to a historic split – one that is expected to end in the creation of a new denomination, one that will be “theologically and socially conservative,” according to The Washington Post. The majority of delegates attending the church’s annual General Conference in May voted to strengthen a ban on the ordination of LGBTQ clergy and to write new rules that will “discipline” clergy who officiate at same-sex weddings. But those who opposed these measures have a new plan: They say they will form a separate denomination by 2020, calling their church the Christian Methodist denomination. The Post notes that the denomination, which claims 12.5 million members, was in the early 20th century the “largest Protestant denomination in the U.S.,” but that it has been shrinking in recent decades. The new split will be the second in the church’s history. The first occurred in 1968, when roughly 10 percent of the denomination left to form the Evangelical United Brethren Church. The Post notes that the proposed split “comes at a critical time for the church, which has been losing members for years,” which has been “pushed toward the brink of a schism over the role of LGBTQ people in the church.” Gay marriage is not the only issue that has divided the church. In 2016, the denomination was split over ordination of transgender clergy, with the North Pacific regional conference voting to ban them from serving as clergy, and the South Pacific regional conference voting to allow them. |
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So Yann LeCun is not right about GPT-3 here. They don't try to predict anything - especially "one word at time". They simply plagiarize big clusters from 5-7 words or whole sentence and do cosmetic modifications to them to be not recognized by direct searching with Google. When you plagiarize such big clusters written by humans it is normal output compile result of GPT-3 text to have human like look for readers. And they don't use statistic for nothing else except the plagiarism process itself. It will be strange ML algorithm to use phrases with low statistical value as "in the creation of a new denomination" or "progress to follow a straight line". ;-) When you can't emulate human brain processes you can always simulate human plagiarize traits. Especially when there are so many idiots who believe on closed open source code and don't ask elementary questions as "Why someone project suddenly will start to show such "astonishing" results exactly when he close the code behind it?"