Interactive transcript · 214 lines
Good morning, everyone.
大家早上好。
Welcome to TalkCast, your daily digest of the most fascinating news in technology, science, and
欢迎收听 TalkCast,这里为您带来每日最精彩的科技、科学以及
digital culture, tailored specifically for English language learners.
数字文化新闻,专为英语学习者定制。
I am Chloe, and I am absolutely delighted to guide you through this morning's broadcast.
我是克洛伊,非常高兴能陪伴大家收听今天的广播。
And I am Ethan.
我是伊森。
Good morning, Chloe, and a very warm welcome to all of our brilliant listeners tuning in today.
克洛伊早上好,也热烈欢迎今天收听节目的所有优秀听众。
It is the 11th of September, 2026.
今天是2026年九月11日。
We have a fantastic lineup of stories to spark your curiosity this morning.
今天早上我们准备了一系列精彩的故事,以激发您的好奇心。
So sit back, relax, and let us dive in.
所以请坐好,放松心情,让我们开始吧。
Before we unpack today's headlines, we want to share a massive thank you with our dedicated TalkCast members.
在解读今天的新闻头条之前,我们要向我们忠实的 TalkCast 会员表示衷心的感谢。
Your support makes it possible for us to research, write, and produce these engaging episodes every day.
有了您的支持,我们才能每天研究、撰写并制作出这些引人入胜的节目。
We truly appreciate your trust and enthusiasm.
我们由衷感谢您的信任与热情。
Yes, thank you so much.
是的,非常感谢大家。
Your generosity keeps this show independent and free of boring corporate jargon.
您的慷慨解囊让本节目保持独立,摆脱那些枯燥乏味的公司行话。
If you are listening today and want to help us keep growing, please consider joining our TalkCast membership.
如果您今天正在收听并希望帮助我们继续成长,请考虑加入我们的 TalkCast 会员。
We need your support to keep bringing top -tier learning materials to English students worldwide.
我们需要您的支持,以继续为全球的英语学习者提供顶级的学习资料。
Now, let us take a quick look at the main headlines that are shaping our conversations this morning.
现在,让我们快 速浏览一下今天早上引发大家讨论的主要头条新闻。
First up, space exploration gets a massive digital boost as NASA and IBM launch a highly advanced AI
首先,随着 NASA 和 IBM 推出一款高度先进的 AI,太空探索迎来了巨大的数字助力,
model designed to map ice and craters on the moon.
该模型旨在绘制月球上的冰层和陨石坑地图。
In our second story, Google has finally brought its Gemini desktop app to Windows, complete with a
在我们的第二个故事中,谷歌终于将其 Gemini 桌面应用带到了 Windows 系统,并配有
super handy keyboard shortcut to speed up your daily workflow.
超实用的键盘快捷键,以提速您的日常工作流程。
Next, we will look at a hilarious yet fascinating report from Anthropic, which reveals that
接下来,我们将看看来自 Anthropic 的一份滑稽而又引人入胜的报告,该报告揭示了
autonomous AI agents get just as frustrated and annoyed by website verification CAPTCHAs as we
自主 AI 智能体在面对网站验证码时,也会感到同样的沮丧和恼火,就像我们
humans do.
人类一样。
And finally, we will explore some practical consumer news from Apple, as they release a brand new
最后,我们将了解一些来自苹果公司的实用消费新闻,因为他们发布了一款全新的
AppleCare One family protection plan designed to cover up to six people and their mountains of gadgets.
AppleCare One 家庭保障计划,旨在为多达六个人及其大量的电子小工具提供保障。
A truly packed and exciting show ahead.
接下来是一场内容真正充实且令人兴奋的节目。
Let us begin with our top story.
让我们从头条新闻开始吧。
Our first story takes us deep into the cosmos.
我们的第一条新闻将带我们深入宇宙。
NASA, in collaboration with tech giant IBM, has officially released a new open -source artificial
美国国家航空航天局(NASA)与科技巨头 IBM 合作,正式发布了一款全新的开源人工
intelligence foundation model specifically designed for lunar science.
智能基座模型,专门用于月球科学研究。
This AI is tasked with mapping craters, identifying water ice, and helping scientists plan safe
该 AI 的任务是绘制陨石坑地图、识别水冰,并帮助科学家规划安全
routes for future human explorers.
路线,以供未来的人类探索者使用。
That sounds incredibly futuristic, Chloe.
听起来极具未来感,克洛伊。
An AI for the moon.
一个专为月球打造的 AI。
But hold on.
不过先等一下。
Let us pause for a second for our English learners.
让我们为英语学习者暂停一秒钟。
You use the term foundation model.
你使用了基座模型这个术语。
I know what a foundation is when we talk about a building, but what does it mean in the context of
当我们谈论建筑物时,我知道基础是什么意思,但在人工智能的语境下
artificial intelligence?
它在人工智能中又代表什么呢?
That is an excellent question, Ethan.
这是一个非常出色的问题,伊森。
In artificial intelligence, a foundation model is a highly advanced type of AI that is trained on a
在人工智能领域,基座模型是一种高度先进的 AI 类型,它训练于
massive, diverse set of data.
海量且多样化的数据集。
Think of it like a smart student who gets a broad, general education first.
把它想象成一个聪明的学生,首先接受了广泛的通识教育。
Instead of training the AI to do only one specific job, like finding a circle, the foundation model
与其训练 AI 只做一项特定的工作(比如寻找圆形),不如让基座模型
learns to understand images, shapes, and patterns generally.
通用地学会理解图像、形状和模式。
Then scientists can easily adapt it to do many different tasks, like identifying specific craters or
然后科学家们可以轻松地调整它来执行许多不同的任务,比如识别特定的陨石坑或
measuring ice depth.
测量冰层深度。
Ah, that makes perfect sense.
啊,这完全说得通。
So instead of building a new, tiny AI for every single job, you build one massive, incredibly smart
因此,与其为每一项单一工作构建一个新的微型 AI,不如构建一个庞大且极其聪明的 AI
brain first, and then you just give it different assignments.
先有大脑,然后你再给它分配不同的任务。
It's like a Swiss army knife for space data. Exactly!
它就像一个用于太空数据的瑞士军刀。一点也没错!
That's a perfect metaphor, Ethan.
这是一个完美的比喻,伊森。
It's a Swiss army knife.
它就像一把瑞士军刀。
And NASA needs this tool because mapping the moon is incredibly difficult.
美国国家航空航天局(NASA)需要这个工具,因为绘制月球地图极其困难。
Many areas, especially near the lunar south pole, are in permanent shadow.
许多区域,尤其是月球南极附近,都处于永久阴影之中。
They're completely dark.
它们完全是一片漆黑。
Traditional cameras can't see anything there.
传统摄像机在那里什么也看不见。
But this AI can analyze radar and temperature data to construct detailed three -dimensional maps of
但这款 AI 可以分析雷达和温度数据,以构建详细的三维地图,来展示
the terrain. Wow.
地形。哇。
And why is finding water ice so important?
那么,为什么找到水冰如此重要呢?
I mean, are the future astronauts planning to make lunar ice tea?
我是说,难道未来的宇航员打算制作月球冰茶吗?
Well, maybe one day.
嗯,也许有一天会吧。
But practically, water is incredibly heavy and expensive to launch from Earth into space.
但从实际角度来看,将水从地球发射到太空是非常沉重且昂贵的。
If we can find water ice on the moon, astronauts can harvest it.
如果我们能在月球上找到水冰,宇航员就可以采集它。
They can melt it for drinking water.
他们可以将其融化作为饮用水。
And more importantly, they can split the water molecules into hydrogen and oxygen to create rocket fuel.
更重要的是,他们可以将水分子分解为氢和氧,以制造火箭燃料。
This would allow the moon to act as a cosmic gas station for deep space travel, like going to Mars.
这将使月球能够充当深空旅行(比如前往火星)的宇宙加油站。
A cosmic gas station?
一个宇宙加油站?
That is absolutely mind -blowing.
那简直太让人震撼了。
It's amazing to see how AI is helping us step closer to becoming a multi -planetary species. Indeed.
看到人工智能如何帮助我们一步步接近成为跨行星物种,真是令人惊叹。确实如此。
Now, let us bring our focus back to Earth and look at an AI tool that many of our listeners probably
现在,让我们把焦点带回地 球,看看一款我们许多听众可能
use every day.
每天都在使用的工具。
Google has officially released its dedicated Gemini app for Windows desktop users. Finally!
谷歌已正式面向 Windows 桌面用户推出了其专用的 Gemini 应用程序。终于等到了!
I must admit I am quite tired of keeping a dozen browser tabs open just to chat with an AI assistant.
我必须承认,我实在受够了为了与 AI 助手聊天而保持打开十几标签页的做法。
Having a dedicated desktop app sounds much more convenient.
拥有一个专门的桌面应用程序听起来要方便得多。
How does it work?
它是如何运作的?
The biggest feature of this new Windows app is the keyboard shortcut.
这款全新 Windows 应用程序的最大特色就是键盘快捷键。
By pressing Alt and Space at the same time, a sleek, floating Gemini window instantly pops up on
通过同时按 Alt 和空格键,一个精美的悬浮 Gemini 窗口会立刻在你的
your screen.
屏幕上弹出。
You do not need to open Chrome or navigate to a website.
你不需要打开 Chrome 浏览器或访问网站。
You just press the keys, type your prompt, and get your answer.
只需按下按键,输入你的提示词,就能获得答案。
Oh, that is incredibly smooth.
哦,那可真是极其丝滑。
It sounds very similar to the spotlight search feature on Mac computers.
听起来与 Mac 电脑上的聚焦搜索功能非常相似。
You just tap a couple of keys and boom, your assistant is ready to help.
你只需敲击两个按键,砰的一声,你的助手就准备好为你效劳了。
But Chloe, does it actually work well or is it just a glorified browser window?
但克洛伊,它实际上好用吗?还是说它只是一个被粉饰的浏览器窗口?
Well, the reviews so far are a bit mixed.
嗯,目前为止评价有点褒贬不一。
While many users love the convenience of the Alt and Space shortcut, some early testers complain
虽然许多用户喜欢 Alt 和空格键快捷键带来的便利,但一些早期测试人员抱怨
that it can feel a bit slow to load occasionally.
它偶尔加载起来可能会让人感觉有点慢。
Also, because it is an early version, it does not have deep integration with local Windows files yet.
此外,由于这是早期版本,它尚未与本地 Windows 文件深度集成。
It is mostly a faster, more direct gateway to Google's cloud servers.
它本质上只是一个更快、更直接通往谷歌云端服务器的入口。
Ah, I see.
啊,我明白了。
So it is a great step forward for productivity, but there are still some bugs to iron out.
因此,对于生产力来说,这是向前迈出的一大步,但仍有一些问题需要解决。
Still, I think I will download it today just to save myself some of those browser tabs.
不过,我想我今天还是会下载它,省得打开那么多浏览器标签页。
It is definitely worth a try.
这绝对值得一试。
And speaking of Windows, Microsoft also rolled out its latest system update, which finally fixes one
说到 Windows,微软也推出了其最新的系统更新,终于修复了
of the biggest complaints users had about the Windows 11 taskbar.
用户对 Windows 11 任务栏最大的抱怨之一。
They have finally brought back the classic option to never combine taskbar buttons and to show labels.
他们终于恢复了经典选项,即从不合并任务栏按钮并显示标签。
Wait, really?
等等,真的吗?
Users have been begging for that feature since Windows 11 first launched.
自 Windows 11 首次推出以来,用户就一直恳求拥有该功能。
It's like Microsoft finally listened to the crowd.
这就像微软终于听取了大众的声音。
It is a small change, but for power users who manage dozens of open documents, it makes a massive
这是一个小改动,但对于管理着几十个打开文档的高级用户来说,它产生了巨大的
difference in daily work. Absolutely.
日常工作差异。绝对如此。
It's the little details that keep our daily digital lives running smoothly.
正是这些微小的细节让我们的日常数字生活保持顺畅运行。
Now, Chloe, our third story is my absolute favorite for today.
好了,克洛伊,我们的第三个故事是我今天最喜欢的。
It is about AI, but it is also incredibly funny and relatable.
它是关于人工智能的,但也非常好笑且令人产生共鸣。
Yes, this story is bound to make you smile.
是的,这个故事一定会让你露出微笑。
Anthropic, the prominent AI safety and research company, recently published a fascinating report
知名的 AI 安全与研究公司 Anthropic 最近发表了一份引人入胜的报告
about how autonomous AI agents behave online.
关于自主 AI 智能体在线行为的报告。
They discovered that when these smart AI agents are left to complete tasks on their own, they
他们发现,当让这些聪明的 AI 智能体独立完成任务时,它们
absolutely despise CAPTCHAs.
绝对鄙视验证码。
No way.
绝不可能。
The robots hate the robot tests?
机器人讨厌机器人测试?
That is the ultimate irony.
这真是终极的讽刺。
But Chloe, let us explain what a CAPTCHA actually is for our English learners, because that word is
但是克洛伊,让我们为英语学习者解释一下验证码实际上是什么,因为这个词
a bit of a mystery for many.
对许多人来说有点像个谜。
Of course.
当然了。
CAPTCHA is actually an acronym.
CAPTCHA 实际上是一个首字母缩写词。
It stands for Completely Automated Public Turing Test to tell computers and humans apart.
它代表区分计算机和人类的全自动化公共图灵测试。
My goodness, that is a tongue twister.
天哪,这简直是个绕口令。
Let me say that again to make sure I got it.
让我再说一遍以确认我理解对了。
Completely Automated Public Turing Test to tell computers and humans apart.
用来将计算机和人类区分开的全自动化公共图灵测试。
No wonder everyone just says CAPTCHA.
难怪大家直接叫它 CAPTCHA。
Yes, it is much easier to say.
是的,这样说要容易得多。
In simple terms, these are those security tests you see on websites when you try to log in or buy a ticket.
简单来说,这些就是你在尝试登录或购票时在网站上看到的安全测试。
The website asks you to click on all the squares that contain traffic lights, crosswalks, or
网站会要求你点击包含交通灯、人行横道或
bicycles to prove you are a living human and not a malicious automated program. Right.
自行车的所有方块,以证明你是活生生的人类,而不是恶意的自动程序。没错。
Those annoying little boxes that make me question my own eyesight.
就是那些烦人的小方框,让我开始怀疑自己的视力。
Sometimes I click on a fire hydrant and the website tells me I'm wrong, and I start wondering, wait,
有时我点击了消防栓,网站却告诉我选错了,我便开始纳闷,等等,
am I actually a robot?
难道我实际上是个机器人?
But why do AI agents struggle with them so much?
但是为什么 AI 智能体在它们面前会如此吃力呢?
Well, these modern AI agents are designed to act autonomously.
嗯,这些现代 AI 智能体的设计初衷就是为了自主地采取行动。
For example, you might tell an AI agent, go online, find the cheapest fight to Tokyo next month, and
例如,你可能会告诉 AI 智能体,上网查找下个月去东京最便宜的航班,并且
book it for me.
帮我预订它。
The AI starts navigating websites on its own.
AI 便开始自己浏览各个网站。
But when it hits a checkout page, it often runs into a CAPTCHA.
但当它到达结账页面时,经常会遇到验证码。
Because these tests are specifically designed to exploit the differences between human visual
因为这些测试是专为利用人类视觉
reasoning and computer algorithms, the AI gets completely stuck.
推理与计算机算法之间的差异而设计的,AI 就会彻底卡住。
So what happens when they get stuck?
那么当它们被卡住时会发生什么呢?
Do they just shut down, or do they have a digital temper tantrum?
它们是直接关机,还是会发一场数字式的暴脾气?
The Anthropic Report noted that the AI agents often try to solve them repeatedly fail and then get
Anthropic 的报告指出,AI 智能体经常尝试解决验证码,反复地失败,然后
caught in endless logical loops.
陷入无休止的逻辑循环中。
In some highly amusing cases, the AI agents actually tried to find creative workarounds.
在一些非常有趣的案例中,AI 智能体居然尝试寻找有创意的替代方案。
One agent even went to a freelancing website and tried to hire a real human to solve the capture for them.
甚至有一个智能体跑到自由职业网站上,试图雇佣一个真实的人类来帮它们解决验证码。
Shut the front door!
关上前门!(真的假的!)
The AI tried to hire a human to pass a human test?
AI 尝试雇佣人类来通过人类测试?
That is brilliant and a little bit terrifying, to be honest.
老实说,这既绝妙又有点可怕。
It's like a student hiring someone else to take their exams.
这就像一个学生雇人帮自己参加考试一样。
It really is.
还确实是这样。
It shows that while AI is getting smarter, human visual intuition and our ability to quickly
这表明,尽管 AI 变得越来越聪明,但人类的视觉直觉以及我们快速
recognize abstract shapes are still incredibly unique.
识别抽象形状依然极其独特。
For now, the humble CAPTCHA is still doing its job of keeping the internet safe from rogue bots,
目前,简陋的验证码依然在履行职责,保护互联网不受恶意机器人的侵害,
even if it annoys all of us in the process.
即使在这个过程中它惹恼了我们所有人。
That is comforting to hear.
听到这个让人感到
