跟讀練習: The last real programmers are dying out... - 通過影片學習英語口語

選擇練習模式

每種模式都會開啟全屏練習室。

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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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本課的詞彙與口語要點

這節口語課以影片“The last real programmers are dying out..”為素材。影片中反覆出現的詞有：agent, code, natural, Api, month。這段影片共有 78 個句子、1199 個單詞可供跟讀。講話部分時長為 5:55。說話人語速較快，每分鐘約 203 個詞，會出現較多連讀和弱讀。只有 77% 的單詞屬於英語最常用的 3,000 詞，詞彙難度較高。

影片中的重點詞彙

影片中 15 個值得學習的單詞，附發音和釋義：

單詞	發音	釋義
predator 名詞	/ˈpɹɛd.ə.tɚ/	掠食者, 天敵 /天敵
programmer 名詞	/ˈpɹoʊɡɹæmɚ/	程式設計師 /程式設計師, 程式員 /程式員
vibe 名詞	/vaɪb/	氛圍 /氛圍
specimen 名詞	/ˈspɛsɪmɪn/	樣本 /樣本
server 名詞	/ˈsɝvɚ/	伺服器 /伺服器, 伺服器
estimate 名詞	/ˈɛs.tɪ.mət/	估計 /估計
parallel 形容詞	/ˈpæ.ɹəˌlɛl/	平行的
casino 名詞	/kəˈsiːnəʊ/	賭場 /賭場, 卡西諾 /卡西諾
sponsor 名詞	/ˈspɒn.səː/	保證人 /保證人
variant 名詞	/ˈvæɹi.ənt/	變體 /變體, 異體 /異體
meanwhile 副詞	/ˈmiːnwaɪl/	同時 /同時
relative 名詞	/ˈɹɛl.ə.tɪv/	親戚 /親戚
extent 名詞	/ɪkˈstɛnt/	範圍 /範圍
format 名詞	/ˈfɔːɹ.mæt/	格式, 開本 /開本
founder 名詞	/ˈfaʊ̯n.dəː/	創辦人 /創辦人, 創立者 /創立者

影片中出現的短語動詞

單詞	釋義
find out 動詞	找出, 查明
check out 動詞	退房

影片中的語法

說話人最常用的結構，並附上影片中的原話：

結構	影片中的用法
現在完成時 have/has + 過去分詞 — 過去發生但與現在仍有關聯的事	has changed · have emerged · you've mutated
被動語態 be + 過去分詞 — 強調發生了什麼，而不是誰做的	is now endangered · was also generated · is nerfed
定語從句 who / which + 從句 — 補充說明人或事物	code, which means · guy who keeps

需要注意的發音

說話人用了 14 次縮略和弱讀形式，例如 doesn't, hasn't, couldn't。請按聽到的簡短形式來說。

“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/
長單詞——注意重音位置: developer /dɪˈvɛləpɚ/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, contribution /ˌkɑntɹɪˈbjuʃən/, fundamental /ˌfʌn.dəˈmɛn.təl/, evolutionary /ˌiː.vəˈluː.ʃən.ɛɹ.i/

中文母語者容易讀錯的音：

/v/ — 不要讀成 /w/，上齒輕觸下唇: vibe /vaɪb/, server /ˈsɝvɚ/, developer /dɪˈvɛləpɚ/, variant /ˈvæɹi.ənt/, relative /ˈɹɛl.ə.tɪv/
詞尾子音 — 要讀清楚，後面不要加母音: prompt /pɹɑmpt/, habitat /ˈhæb.ɪ.tæt/, vibe /vaɪb/, estimate /ˈɛs.tɪ.mət/, variant /ˈvæɹi.ənt/
/r/ 和 /l/ 的區別: parallel /ˈpæ.ɹəˌlɛl/, relative /ˈɹɛl.ə.tɪv/, evolutionary /ˌiː.vəˈluː.ʃən.ɛɹ.i/, gravel /ˈɡɹævəl/, resilience /ɹɪˈzɪl.ɪ.əns/

如何用這段影片練習

先完整聽一遍影片，不要開口，記下不認識的單詞。
先用 0.75 倍速逐句跟讀，熟練之後再回到正常速度。
錄下自己的聲音並與原聲對比，特別注意 predator, programmer, vibe 這類單詞。

什麼是跟讀法？

跟讀法 (Shadowing) 是一種有科學依據的語言學習技巧，最初開發用於專業口譯員的培訓，並由多語言者Alexander Arguelles博士普及。這個方法簡單而強大：您在聽英語母語原聲的同時立即大聲重複——就像是一個延遲1-2秒緊跟說話者的影子。與被動聽力或語法練習不同，跟讀法強迫您的大腦和口腔肌肉同時處理並模模擬實的講話模式。研究表明它能顯著提高發音準確性，語調，節奏，連讀，聽力理解和口語流利度——使其成為雅思口語備考和真實英語交流最有效的方法之一。

影子跟讀法: 閱讀完整分步指南 →

跟讀練習: The last real programmers are dying out... - 通過影片學習英語口語

選擇練習模式

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