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English(EN) I gave my language's spec to 36 AI sessions that had never seen it. Here is what they got wrong.

设计师测试 AI 为新语言生成代码,发现缺陷和改进之处

一位设计师测试了 AI 模型为他创建的一种名为 Kaury 的新编程语言生成代码的效果。他发现,虽然一些 AI 会话第一次就能生成功能性代码,但许多会话在语法、关键字使用和字体排序方面都出现了错误。在改进了语言规范,使其更具容错性并提供更清晰的错误消息后,AI 模型表现明显更好,大多数会话都能成功编译代码。 AI

影响 凸显了当前 AI 在理解和生成新语言或未充分说明的语言代码方面的局限性,表明需要更清晰的规范和更好的错误处理。

排序理由 该项目描述了一项测试 AI 模型为一种新颖的编程语言生成代码的能力的实验,详细说明了结果和随后的语言修改。[lever_c_demoted from research: ic=1 ai=1.0]

在 dev.to — LLM tag 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

设计师测试 AI 为新语言生成代码,发现缺陷和改进之处

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11 / 100
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该项目描述了一项测试 AI 模型为一种新颖的编程语言生成代码的能力的实验,详细说明了结果和随后的语言修改。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
product, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
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High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

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报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Theo ·

    我将我语言的规范给了36个从未见过它的AI会话。以下是它们出错的地方。

    <p>Kaury is a small language that turns one <code>.kaury</code> file into a complete website: pages, styles, logic, forms that send e-mails, 3D scenes. The output is server-rendered HTML with a sitemap, structured data and an <code>llms.txt</code>.</p> <p>This is a whole site:<br…