跟读练习: The last real programmers are dying out... - 通过视频学习英语口语

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The programmer.

Four years ago, science classified 10 known variants of this animal,

and the taxonomy held up pretty well until an asteroid hit in 2023 and nearly wiped them off the Earth.

Since then, the habitat has changed.

9 out of 10 developers are now using AI to write their code, which means the one who doesn't is now endangered.

Meanwhile, several new species have emerged recently, and in order to understand them,

we need stereotypes, which experts still estimate are about 99 % accurate about 12 % of the time.

In today's video, we'll look at the seven programmer stereotypes of 2026 to help you find out which one you've mutated into.

First up, we have the non -technical vibe coder.

This specimen doesn't know what a for loop is, and he doesn't really care.

He describes himself as a founder

and his entire tech stack is a chat window with a prompt that says it's still not working.

He launches a SaaS on Tuesday, it gets hacked on Wednesday because the API keys are hard -coded on the front end,

and on Thursday, he posts a thread about resilience.

His natural predator is Edsger Dykstra, and his natural habitat is a screenshot of monthly recurring revenue

that was also generated by AI because he doesn't know how to use dev tools.

Evolutionary biologists have traced his lineage directly back to the boot camp programmer who normalized not understanding computer science fundamentals.

Next, the closest living relative to the non -technical vibe coder is the prompt casino degenerate.

This guy is technical, but only if it's easier than LeetCode Medium.

He pulls the lever the agent spins, and about 60 % of the time,

he gets a tasty piece of cheese he can make a PR out of.

He spends $400 per month of his own money on coding agents

because his company just set a $29 per month employee limit after agentic abuse.

When the code is good, it's because he's a prompt engineer, and when it's bad, it's because Opus is nerfed.

His family left him after

he cashed out the kid's 529 college plans to give his agent full API access to his CalShe account,

but that's okay because the latency with local voice models is low enough that it feels real.

Next, the apex predator of the prompt casino degenerate, the swarm lord, who biologists classify as eusocial.

This guy knows how to code and enjoy it, but he's gaslit himself into thinking he's never been more productive.

He runs 12 agents in parallel from his phone, and his favorite thing to do while his agents work is tell you

that he runs 12 agents in parallel from his phone.

He hasn't looked at a line of code in years, but he has strong opinions about which model has the best taste.

His natural predator is uptime, and his mating call is saying that writing software is a solved problem.

The Swarmlord feasts on our next variant, the Slop Maintainer.

This guy wrote a date formatting library in 2019 that now has 40 million weekly downloads and is critical web infrastructure.

He gets hundreds of PRs per month that are each co -authored by Claude,

and in October, he gets 10 ,000 more from junior devs in Bangalore, hoping to get a free t -shirt.

He survives on the $95 he gets from his GitHub sponsors every month, while he watches the famous library maintainers make millions getting acquired by Shopify.

His natural predator is a North Korean maintainer offering to help, and his mating call is threatening to archive the repo every other month.

The maintainer never found out who sent those 10 ,000 PRs, but the biologists have, and they're calling him the unemployed junior.

His whole life, he did everything right.

Good grades, studied leak code, didn't kiss any girls, and he's been rejected by every AI screener that's come across his resume.

He graduated in 2024, which was about six months after the last entry -level job on earth was filled.

His GitHub contribution graph is a solid wall of green made entirely of readme typo fixes and Python projects from school.

His natural habitat is a Discord server, and his natural predator is the non -technical vibe coder who can build everything he can,

just with a marketing degree.

His mating call is asking if anybody is hiring, and the guy who keeps saying no is our next specimen, the old jaded developer.

This guy is in his mid -30s.

He learned Grunt, then Gulp, then Webpack.

He got excited for jQuery, then

Angular, then React.

He even stuck around for Hooks and Next .js, but now he's old, tired, and couldn't care less about benchmarks.

He's not going to learn your harness, he's not going to read your system prompt, and he's not going to run 12 of anything.

The full extent of his AI usage is hitting

Tab and GitHub Copilot, which he's gotten for free since 2023 because he contributed to Gatsby back in the day.

He doesn't know there's a chat window in his IDE, he misses 100 seconds videos, and when co -pilots suggest something wrong,

he just deletes it by hand like a monk raking gravel.

He's not anti -AI, he just has a parent -teacher conference at 4pm, and is coaching his third graders basketball at 7.

But you know who is anti -AI?

Our final specimen, the purist.

This man is the best in us, he's noble, brave, handsome, and has 20 years of experience in a world that no longer exists.

He hasn't had a job since MCP was released, which by the way he thinks is just Korba with worse security.

When he did have a job, he wrote every line by hand and would gladly tell you the big O of any slop you whipped up.

His favorite books are Introduction to Algorithms and The Pragmatic Programmer,

and nowadays he can be found in his natural habitat on Hacker News talking about the craft of writing software.

Biologists estimate that there are fewer than 10 ,000 of these left in the wild, and their numbers are dwindling by the day.

But no matter which stereotype you identify as, you need to check out Serp API, the sponsor of today's video.

If you're building an AI app that needs live data, like prices or store hours,

your LLM will start spitting out confidently wrong answers because of its stale -ass training data.

The Serp API lets your agent pull real -time results from Google, Amazon, Maps, and over 100 other engines.

It's all sourced from public pages and their own search index, so your agents are always working with data that's already public.

And they just launched

Extract API, so when your agent finds a page it needs,

it can grab the whole thing as structured JSON or as clean markdown that won't nuke your context window.

You can add it to Cloud Code, Cursor, and Codex through their MCP server, and SERP API is already used by companies like NVIDIA and Perplexity,

because even AI search engines need a real search engine to try it out for free with this QR code

or at the link below.

Thanks for watching and I will see you in the next one.

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FOR YOU

本课的词汇与口语要点

这节口语课以视频“The last real programmers are dying out..”为素材。视频中反复出现的词有：agent, code, natural, Api, month。这段视频共有 78 个句子、1199 个单词可供跟读。讲话部分时长为 5:55。说话人语速较快，每分钟约 203 个词，会出现较多连读和弱读。只有 77% 的单词属于英语最常用的 3,000 词，词汇难度较高。

视频中的重点词汇

视频中 15 个值得学习的单词，附发音和释义：

单词	发音	释义
predator 名词	/ˈpɹɛd.ə.tɚ/	掠食者, 天敵 /天敌
programmer 名词	/ˈpɹoʊɡɹæmɚ/	程序員 /程序员, 程式員 /程式员
vibe 名词	/vaɪb/	氛圍 /氛围
specimen 名词	/ˈspɛsɪmɪn/	樣本 /样本
server 名词	/ˈsɝvɚ/	服務器 /服务器, 伺服器
estimate 名词	/ˈɛs.tɪ.mət/	估計 /估计
parallel 形容词	/ˈpæ.ɹəˌlɛl/	平行的
casino 名词	/kəˈsiːnəʊ/	賭場 /赌场, 卡西諾 /卡西诺
sponsor 名词	/ˈspɒn.səː/	保證人 /保证人
variant 名词	/ˈvæɹi.ənt/	變體 /变体, 異體 /异体
meanwhile 副词	/ˈmiːnwaɪl/	同時 /同时
relative 名词	/ˈɹɛl.ə.tɪv/	親戚 /亲戚
extent 名词	/ɪkˈstɛnt/	範圍 /范围
format 名词	/ˈfɔːɹ.mæt/	格式, 開本 /开本
founder 名词	/ˈfaʊ̯n.dəː/	創辦人 /创办人, 創立者 /创立者

视频中出现的短语动词

单词	释义
find out 动词	找出, 查明
check out 动词	退房

视频中的语法

说话人最常用的结构，并附上视频中的原话：

结构	视频中的用法
现在完成时 have/has + 过去分词 — 过去发生但与现在仍有关联的事	has changed · have emerged · you've mutated
被动语态 be + 过去分词 — 强调发生了什么，而不是谁做的	is now endangered · was also generated · is nerfed
定语从句 who / which + 从句 — 补充说明人或事物	code, which means · guy who keeps

需要注意的发音

说话人用了 14 次缩略和弱读形式，例如 doesn't, hasn't, couldn't。请按听到的简短形式来说。

“th” 音: thread /ˈθɹɛd/, threaten /ˈθɹɛt.n̩/
“sh” 和 “zh” 音: contribution /ˌkɑntɹɪˈbjuʃən/, evolutionary /ˌiː.vəˈluː.ʃən.ɛɹ.i/, screenshot /ˈskriːn.ʃɑt/, benchmark /ˈbɛn(t)ʃmɑːk/
长单词——注意重音位置: developer /dɪˈvɛləpɚ/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, contribution /ˌkɑntɹɪˈbjuʃən/, fundamental /ˌfʌn.dəˈmɛn.təl/, evolutionary /ˌiː.vəˈluː.ʃən.ɛɹ.i/

中文母语者容易读错的音：

/v/ — 不要读成 /w/，上齿轻触下唇: vibe /vaɪb/, server /ˈsɝvɚ/, developer /dɪˈvɛləpɚ/, variant /ˈvæɹi.ənt/, relative /ˈɹɛl.ə.tɪv/
词尾辅音 — 要读清楚，后面不要加元音: prompt /pɹɑmpt/, habitat /ˈhæb.ɪ.tæt/, vibe /vaɪb/, estimate /ˈɛs.tɪ.mət/, variant /ˈvæɹi.ənt/
/r/ 和 /l/ 的区别: parallel /ˈpæ.ɹəˌlɛl/, relative /ˈɹɛl.ə.tɪv/, evolutionary /ˌiː.vəˈluː.ʃən.ɛɹ.i/, gravel /ˈɡɹævəl/, resilience /ɹɪˈzɪl.ɪ.əns/

如何用这段视频练习

先完整听一遍视频，不要开口，记下不认识的单词。
先用 0.75 倍速逐句跟读，熟练之后再回到正常速度。
录下自己的声音并与原声对比，特别注意 predator, programmer, vibe 这类单词。

什么是跟读法？

跟读法 (Shadowing) 是一种有科学依据的语言学习技巧，最初开发用于专业口译员的培训，并由多语言者Alexander Arguelles博士普及。这个方法简单而强大：您在听英语母语原声的同时立即大声重复——就像是一个延迟1-2秒紧跟说话者的影子。与被动听力或语法练习不同，跟读法强迫您的大脑和口腔肌肉同时处理并模仿真实的讲话模式。研究表明它能显着提高发音准确性，语调，节奏，连读，听力理解和口语流利度——使其成为雅思口语备考和真实英语交流最有效的方法之一。

影子跟读法: 阅读完整分步指南 →

跟读练习: The last real programmers are dying out... - 通过视频学习英语口语

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