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0Episode: Qwen 3.8-Max: When AI Works for Days Straight
Duration: approximately 8 minutes
Level: B1 (Intermediate)
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[Mike]: Welcome back to "Learn English with Podcasts"! Sarah, quick question - if you had to build a website, could you finish it in one night?
zh:欢迎回到"Learn English with Podcasts"！Sarah，问你个快问快答——如果让你建一个网站，你能一晚上做完吗？
[Sarah]: One night? I'd need a week, at least! Why do you ask?
zh:一个晚上？我至少需要一周！为什么这么问？
[Mike]: Because there's a new AI model that can work for days without stopping. It's called Qwen 3.8-Max.
zh:因为有一个新的 AI 模型可以连续工作好几天不停歇，它叫 Qwen 3.8-Max。
[Sarah]: Wait, work for days? Like, it doesn't need breaks?
zh:等等，工作好几天？就像它不需要休息？
[Mike]: Exactly! It was given an empty folder and a simple goal: build a project from zero. And it worked by itself for about sixteen days.
zh:没错！有人给了它一个空文件夹和简单的目标：从零开始建一个项目。它自己独立工作了大约十六天。
[Sarah]: Sixteen days? That sounds like a real employee, not a chatbot!
zh:十六天？这听起来像一个真正的员工，而不是聊天机器人！
[Mike]: That's exactly the point. During that time, it wrote over two hundred and sixty commits and opened more than a hundred pull requests - all by itself.
zh:这正是关键所在。那段时间里，它自己写了 260 多次提交，开了 100 多个 pull request——全都是自己完成的。
[Sarah]: Hold on, I know those terms from software work. So it's really doing real programming, not just answering questions?
zh:等等，这些术语我在软件工作里见过。所以它真的在做真正的编程，不只是回答问题？
[Mike]: Right! It plans, writes code, runs tests, finds bugs, and fixes them. Nobody helps it. It just keeps going.
zh:对！它做规划、写代码、跑测试、找 bug，然后修复。没有人帮它，它就一直干下去。
[Sarah]: That's honestly a little scary. But also kind of cool. What else can it do?
zh:说实话这有点吓人，但也有点酷。它还能做什么？
[Mike]: Here's my favorite part - it can run a small business for a whole year. In a test, it managed online shops with real buying and selling.
zh:这是我最喜欢的一点——它可以经营一个小生意整整一年。在一项测试里，它管理着有真实买卖的网店。
[Sarah]: A whole year of business? What does it have to do every day?
zh:一整年的生意？它每天都要做什么？
[Mike]: Everything. Choosing products to sell, talking prices with suppliers, managing the stock, and handling returns.
zh:所有事情。选品、和供应商谈价格、管理库存、处理退货。
[Sarah]: So it's like playing a giant shopping game, but the money is fake... wait, was the money real?
zh:所以这就像玩一个大型购物游戏，但钱是假的……等等，钱是真的吗？
[Mike]: No, it was a simulation. But the result was amazing - it turned one hundred thousand dollars into over four hundred thousand dollars.
zh:不，那是模拟的。但结果很惊人——它把十万美元变成了四十多万美元。
[Sarah]: Four times the money in a year?! My savings don't grow that fast!
zh:一年赚四倍？！我的存款都没涨这么快！
[Mike]: Ha! The interesting thing is why. It learned from experience. When it got a good price from one supplier, it used that skill on similar products too.
zh:哈！有趣的是原因。它会从经验中学习。当它从某个供应商拿到好价格，它会把这种技巧用在类似的产品上。
[Sarah]: Oh, so it improves as it goes along, like a person getting better at their job.
zh:哦，所以它边做边进步，就像一个人越来越熟悉自己的工作。
[Mike]: Exactly. That's called learning from feedback. It's the difference between a new worker and an experienced one.
zh:没错。这就叫从反馈中学习。这正是新手员工和经验丰富员工的区别。
[Sarah]: You mentioned it builds software. What about really hard problems, like scientific research?
zh:你提到了它做软件开发。那真正难的问题呢，比如科学研究？
[Mike]: Fun fact - it reproduced a whole research paper by itself. It wrote seven thousand lines of code and did thirty-three rounds of training.
zh:有趣的事实——它自己复现了一整篇研究论文。它写了七千行代码，做了三十三轮训练。
[Sarah]: Seven thousand lines of code... and I struggle with my to-do list.
zh:七千行代码……而我连待办清单都搞不定。
[Mike]: And after that, it actually came up with a new method that was even better than the paper's original one!
zh:而且之后，它还真想出了一种比论文原方法更优的新方法！
[Sarah]: Wait, so it reproduced the research AND improved it? That's like a student finishing homework and then writing a better textbook.
zh:等等，所以它复现了研究还改进了它？这就像一个学生做完作业，然后写出了一本更好的教材。
[Mike]: I love that example! Let me give you one more - it even designed a real chip, from the first idea to the final design.
zh:我喜欢这个例子！再给你一个——它甚至设计了一颗真实的芯片，从最初的想法到最终设计。
[Sarah]: A chip? Like the ones inside our phones?
zh:芯片？像手机里面的那种吗？
[Mike]: The very same kind! It started with over eight thousand parts and optimized the design down to under seven hundred.
zh:就是那种！它从八千多个零件开始，把设计优化到七百以下。
[Sarah]: That's like packing for a trip and getting rid of nine tenths of your luggage.
zh:这就像旅行打包，然后把九成的行李都扔掉了。
[Mike]: Exactly! Smaller, faster, and better - that's what a great design means.
zh:没错！更小、更快、更好——这就是优秀设计的意义。
[Sarah]: Okay, I have to ask - is this the biggest, most powerful AI ever?
zh:好了，我得问一句——这是不是史上最强大、最强的 AI？
[Mike]: It's the company's most powerful model so far, with trillions of parameters. And here's the fun twist - they're going to open source it next week.
zh:这是该公司迄今最强大的模型，参数达到数万亿级别。而且有趣的是——他们下周就要开源它。
[Sarah]: Open source? So other people can use it and improve it?
zh:开源？所以其他人可以使用和改进它？
[Mike]: Yes! That's what makes this exciting. It's not locked away - developers all over the world can build with it.
zh:是的！这正是让人兴奋的地方。它没有被锁起来——全世界开发者都可以用它来构建。
[Sarah]: You know what this means for us regular people? Soon, having an AI that can work all night might be as normal as having a washing machine.
zh:你知道这对我们普通人意味着什么吗？很快，有一个能熬夜干活的 AI 可能会像有一台洗衣机一样平常。
[Mike]: Hmm, but my washing machine never learned to negotiate with suppliers.
zh:嗯，但我的洗衣机可从来没学会跟供应商砍价。
[Sarah]: True! But hey, maybe next year it will. Thanks for the update, Mike. What a time to be alive.
zh:说得对！不过也许明年它就会了。谢谢你带来这些消息，Mike。活在这个时代真棒。
[Mike]: Absolutely. See you next time on "Learn English with Podcasts"!
zh:没错。下期"Learn English with Podcasts"再见！
