AI 与写作2020gwern.net编辑精选
用 GPT-3 进行创意小说写作
GPT-3 Creative Fiction
导读
Gwern 的长文系统考察 GPT-3 在创意小说写作上的能力与边界:它能维持人设、写出讽刺腔调,也会整段复述训练数据里的歌词。HN 评论既贴出令人惊讶的生成片段,也指出“背课文”式的抄袭问题,值得写作者一读——它既是一面镜子,照出我们对“文风”的直觉,也提醒我们警惕陈词滥调与无意识的借用。
可以直接用的写作要点
- 01
让两个角色对同一件事采取完全相反的态度(一个亢奋宣讲、一个敷衍应付),幽默与人物性格会自然浮现,不必靠旁白解释。
- 02
把抽象情绪拆成具体的排比清单(免税、独裁、调情……),空泛的“自由”才落地成读者能感到的东西。
- 03
让克制的一方用极短的回应(“Sure, I guess.”)去衬托另一方的长篇独白,节奏对比本身就是刻画。
- 04
凡是被模型整段吐出的句子,往往是训练语料里最“顺口”的表达——写作者也该自查:这句是不是我借来的现成话?
HN 评论精选
对话两极反差+清单式排比,是制造黑色幽默和人物性格的高效手法。
它写出的《小马宝莉》同人小说有种让人不安的连贯与机锋:刚死去的教授兴奋地宣布自己从此不必再担心偶数、概率、战争和调情,获得“自由”;而公主只能不断敷衍“是啊”“大概吧”“你想让我说什么呢”。
mintplant查看英文原文
It writes uncomfortably coherent and witty fatalist My Little Pony fanfiction: > “I’m Princess Celestia, of Equestria.” the alicorn said, “It’s nice to meet you. And I’m very sorry for your untimely demise.” > “Heh. You’re telling me.” the Professor laughed, shaking his head. “I’m dead. I’m… dead. Do you know what that means?” > “I have an inkling.” Princess Celestia said, wincing. > “It means I don’t have to worry about even numbers anymore.” he said, nodding. “I don’t have to worry about probabilities anymore! I don’t have to worry about the upcoming war anymore! I don’t have to worry about anypony anymore!” he spread his hooves out at his sides, “I don’t have to do anything anymore! It’s beautiful!” > “Yes, yes, I’m sure it is.” Princess Celestia said, nodding along. > “Nothing matters now that I’m dead!” he cheered, “It’s great! I’m free! This is what it feels like to be liberated!” > “I can see that.” she said. > “I’m free from death!” he continued, “I’m free from taxes! I’m free from dictatorships! I’m free from flirting!” he laughed, “I’m free from everything! Isn’t it great?” > “Sure, I guess.” Princess Celestia shrugged. > “What do you think about all of this, Princess?” he asked. > “About what?” she replied. > “Well, I just thought you might have something to say about it all.” he told her. > “What would you like me to say?” she responded. > “Do you think death is awesome?” he questioned. > “Well… no.” she shook her head, “But I think the passage to it is.” > “Oh.” he said, “I see what you mean.”
模型会原样 regurgitate 训练语料中的名句,写作者同样要警惕无意识的陈词与借用。
在文中“苏斯博士《 Oh, the Places You'll Go 》”那一节,它直接照搬了披头士的歌词:“There's nothing you can know that isn't known…”
mej10查看英文原文
Straight up plagiarizes The Beatles here: https://www.gwern.net/GPT-3#dr.-seuss-oh-the-places-youll-go " There’s nothing you can know that isn’t known. Nothing you can see that isn’t shown. Nowhere you can be that isn’t where you’re meant to be. "
把时间维度纳入写作素材,能让文字抓住“当下感”而非泛泛而谈。
Carmack 提出:GPT-3 这类大模型把十年互联网文本当作独立同分布数据来训练;如果加入时间信息,它们或许能开始写出“明天的 reddit 或 twitter 热点”。
Reedx查看英文原文
Carmack posted (yesterday) an interesting thought on models like GPT-3: "Big AI models like GPT-3 train on massive internet text dumps, but the data is assumed to be independent and identically distributed. Incorporating time information for a decade of data might allow them to start writing tomorrow's reddit or twitter trends." https://twitter.com/ID_AA_Carmack/status/1278840413919551488
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