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@Lenny Rachitsky (@lennysan)
Lenny Rachitsky分享AI设计8大技巧
Lenny Rachitsky推荐Anshu的文章，指出AI模型具有创造力但常被抑制，并列出8种技术如使用种子字符串、更激进的提示、子代理反馈循环等，以释放AI的设计潜力。
AI推荐理由 Lenny Rachitsky分享Anshu关于AI设计潜力的文章，提出8种技术释放AI创造力，包括使用种子字符串、子代理反馈循环等。内容具体，有实践指导价值，但属于转述，非原创。
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我一直以为AI在设计方面很糟糕，但读了今天@anshuc的🤯帖子后，我意识到我只是做错了。"AI模型能够产生惊人的创造力，但这种创造力被扼杀了。LLM被训练为下一个令牌预测器：它们查看一段文本并预测接下来通常会出现什么。伟大的设计恰恰与此相反。伟大的设计打破规则，用令人难忘、出人意料的选择取悦用户。" @anshuc在Apple领导设计和工程团队长达12年。用他的话来说："大多数人只看到AI创造潜力的1%。我想向您展示如何挖掘另外的99%。" 他打破这1%的8种技巧：1. 使用种子字符串注入多样性 2. 在提示中更加雄心勃勃 3. 与子代理创建正反馈循环 4. 使用图像生成来丰富设计 5. 使用视频生成 6. 删除不增加价值的元素 7. 去除AI痕迹 8. 手动重写文案 在此处阅读帖子：lennysnewsletter.com/p/how-to-turn-…K P.S. 这个设计是由AI制作的👇 💬117🔄227❤️3298👀1018577📊1867 ⚡ 由xgo.ing提供支持
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I'd always thought AI was terrible at design, but after reading today's 🤯 post by @anshuc, I realized I was just doing it wrong. "AI models are capable of amazing creativity, but that creativity gets stifled. LLMs are trained to be next-token predictors: they look at a sequence of text and predict what typically comes next. Great design is exactly the opposite of this. Great design bends the rules and delights users with memorable, unexpected choices." @anshuc led design and engineering teams at Apple for 12 years. In his words: "Most people only see 1% of AI's creative potential. I want to show you how to tap into the other 99%." His 8 techniques for breaking out of the 1%: 1. Use seed strings to inject variety 2. Be much more ambitious with your prompts 3. Create positive feedback loops with subagents 4. Use image generation to enrich designs 5. Use video generation 6. Cut out elements that don’t add value 7. Remove AI tells 8. Rewrite copy by hand Read the post here:lennysnewsletter.com/p/how-to-turn-…K P.S. This design was made by AI 👇 💬117🔄227❤️3298👀1018577📊1867 ⚡ Powered by xgo.ing