展示HN：在AI响应中嵌入可交互组件以增强学习体验
大家好，
我对大多数AI生成的教育内容静态和被动的特性感到沮丧。完美的解释固然重要，但并不保证“学习”的发生。
为了解决这个问题，我构建了一个系统，可以动态地将互动元素注入并渲染到大型语言模型的响应中，将原本只是文字堆砌的内容转变为一个生动的学习环境。
一个实际应用的例子是关于篮球规则的超酷解释 - [点击这里查看](https://thirdpen.app/article/FN3IbjLa/lens)。
另外，还有一个简单的数据结构与算法问题，讲解冒泡排序算法的工作原理：[点击这里查看](https://thirdpen.app/article/QRV7MYmu/lens)。
从这些例子中，我们可以看到，利用AI进行“学习”并不一定只局限于文本。
我非常希望能够确认我们在这个方向上的创新是否正确。
你可以在这里尝试一下：[点击这里访问](https://thirdpen.app)。
查看原文
Hey folks,<p>I was frustrated by how static and passive most AI-generated educational content is. A perfect explanation is great, but it doesn't guarantee "learning".<p>To fix this, I built a system to dynamically inject and render interactive elements into the LLM's response, turning what would rather be walls of just text into a live learning environment.<p>An example of it in action is this super cool explanation on the rules of basketball - <a href="https://thirdpen.app/article/FN3IbjLa/lens" rel="nofollow">https://thirdpen.app/article/FN3IbjLa/lens</a><p>Or a simple DSA question of how bubble sort algorithm works: <a href="https://thirdpen.app/article/QRV7MYmu/lens" rel="nofollow">https://thirdpen.app/article/QRV7MYmu/lens</a><p>We are able to see in this examples that "learning" with AI does not have to be just about text.<p>I would love to confirm whether or not we're innovating in the right direction with this.<p>you can try it here: <a href="https://thirdpen.app" rel="nofollow">https://thirdpen.app</a>