Luyện nói tiếng Anh bằng Shadowing qua video: The last real programmers are dying out...
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78 câu
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The programmer.
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Four years ago, science classified 10 known variants of this animal,
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and the taxonomy held up pretty well until an asteroid hit in 2023 and nearly wiped them off the Earth.
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Since then, the habitat has changed.
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9 out of 10 developers are now using AI to write their code, which means the one who doesn't is now endangered.
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Meanwhile, several new species have emerged recently, and in order to understand them,
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we need stereotypes, which experts still estimate are about 99 % accurate about 12 % of the time.
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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.
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First up, we have the non -technical vibe coder.
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This specimen doesn't know what a for loop is, and he doesn't really care.
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He describes himself as a founder
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and his entire tech stack is a chat window with a prompt that says it's still not working.
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He launches a SaaS on Tuesday, it gets hacked on Wednesday because the API keys are hard -coded on the front end,
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and on Thursday, he posts a thread about resilience.
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His natural predator is Edsger Dykstra, and his natural habitat is a screenshot of monthly recurring revenue
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that was also generated by AI because he doesn't know how to use dev tools.
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Evolutionary biologists have traced his lineage directly back to the boot camp programmer who normalized not understanding computer science fundamentals.
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Next, the closest living relative to the non -technical vibe coder is the prompt casino degenerate.
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This guy is technical, but only if it's easier than LeetCode Medium.
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He pulls the lever the agent spins, and about 60 % of the time,
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he gets a tasty piece of cheese he can make a PR out of.
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He spends $400 per month of his own money on coding agents
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because his company just set a $29 per month employee limit after agentic abuse.
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When the code is good, it's because he's a prompt engineer, and when it's bad, it's because Opus is nerfed.
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His family left him after
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he cashed out the kid's 529 college plans to give his agent full API access to his CalShe account,
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but that's okay because the latency with local voice models is low enough that it feels real.
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Next, the apex predator of the prompt casino degenerate, the swarm lord, who biologists classify as eusocial.
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This guy knows how to code and enjoy it, but he's gaslit himself into thinking he's never been more productive.
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He runs 12 agents in parallel from his phone, and his favorite thing to do while his agents work is tell you
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that he runs 12 agents in parallel from his phone.
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He hasn't looked at a line of code in years, but he has strong opinions about which model has the best taste.
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His natural predator is uptime, and his mating call is saying that writing software is a solved problem.
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The Swarmlord feasts on our next variant, the Slop Maintainer.
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This guy wrote a date formatting library in 2019 that now has 40 million weekly downloads and is critical web infrastructure.
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He gets hundreds of PRs per month that are each co -authored by Claude,
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and in October, he gets 10 ,000 more from junior devs in Bangalore, hoping to get a free t -shirt.
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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.
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His natural predator is a North Korean maintainer offering to help, and his mating call is threatening to archive the repo every other month.
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The maintainer never found out who sent those 10 ,000 PRs, but the biologists have, and they're calling him the unemployed junior.
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His whole life, he did everything right.
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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.
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He graduated in 2024, which was about six months after the last entry -level job on earth was filled.
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His GitHub contribution graph is a solid wall of green made entirely of readme typo fixes and Python projects from school.
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His natural habitat is a Discord server, and his natural predator is the non -technical vibe coder who can build everything he can,
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just with a marketing degree.
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His mating call is asking if anybody is hiring, and the guy who keeps saying no is our next specimen, the old jaded developer.
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This guy is in his mid -30s.
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He learned Grunt, then Gulp, then Webpack.
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He got excited for jQuery, then
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Angular, then React.
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He even stuck around for Hooks and Next .js, but now he's old, tired, and couldn't care less about benchmarks.
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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.
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The full extent of his AI usage is hitting
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Tab and GitHub Copilot, which he's gotten for free since 2023 because he contributed to Gatsby back in the day.
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He doesn't know there's a chat window in his IDE, he misses 100 seconds videos, and when co -pilots suggest something wrong,
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he just deletes it by hand like a monk raking gravel.
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He's not anti -AI, he just has a parent -teacher conference at 4pm, and is coaching his third graders basketball at 7.
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But you know who is anti -AI?
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Our final specimen, the purist.
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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.
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He hasn't had a job since MCP was released, which by the way he thinks is just Korba with worse security.
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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.
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His favorite books are Introduction to Algorithms and The Pragmatic Programmer,
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and nowadays he can be found in his natural habitat on Hacker News talking about the craft of writing software.
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Biologists estimate that there are fewer than 10 ,000 of these left in the wild, and their numbers are dwindling by the day.
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But no matter which stereotype you identify as, you need to check out Serp API, the sponsor of today's video.
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If you're building an AI app that needs live data, like prices or store hours,
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your LLM will start spitting out confidently wrong answers because of its stale -ass training data.
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The Serp API lets your agent pull real -time results from Google, Amazon, Maps, and over 100 other engines.
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It's all sourced from public pages and their own search index, so your agents are always working with data that's already public.
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And they just launched
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Extract API, so when your agent finds a page it needs,
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it can grab the whole thing as structured JSON or as clean markdown that won't nuke your context window.
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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,
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because even AI search engines need a real search engine to try it out for free with this QR code
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or at the link below.
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Thanks for watching and I will see you in the next one.
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Từ vựng và ghi chú luyện nói cho bài học này
Bài luyện nói này dựa trên video “The last real programmers are dying out..”. Những từ được nhắc lại nhiều nhất trong bài: agent, code, natural, Api, month. Video này có 78 câu và 1199 từ để luyện shadowing. Phần lời nói dài 5:55. Người nói nói nhanh, khoảng 203 từ mỗi phút, nên sẽ có nhiều chỗ nối âm và nuốt âm. Chỉ 77% số từ nằm trong 3.000 từ tiếng Anh thông dụng nhất, nên từ vựng khá khó.
Từ vựng quan trọng trong video
15 từ đáng học trong video, kèm phiên âm và nghĩa:
| Từ | Phiên âm | Nghĩa |
|---|---|---|
| predator danh từ | /ˈpɹɛd.ə.tɚ/ | động vật ăn thịt |
| programmer danh từ | /ˈpɹoʊɡɹæmɚ/ | lập trình viên |
| vibe danh từ | /vaɪb/ | cảm giác |
| server danh từ | /ˈsɝvɚ/ | trình chủ, máy chủ |
| estimate danh từ | /ˈɛs.tɪ.mət/ | ước lượng |
| developer danh từ | /dɪˈvɛləpɚ/ | nhà phát triển |
| casino danh từ | /kəˈsiːnəʊ/ | sòng bạc |
| variant danh từ | /ˈvæɹi.ənt/ | phương án, biến thể |
| relative danh từ | /ˈɹɛl.ə.tɪv/ | họ hàng, người thân |
| format danh từ | /ˈfɔːɹ.mæt/ | khổ (sách, giấy, bìa) |
| founder danh từ | /ˈfaʊ̯n.dəː/ | người sáng lập |
| infrastructure danh từ | /ˈɪnfɹəˌstɹʌkt͡ʃə/ | cơ sở hạ tầng |
| thread danh từ | /ˈθɹɛd/ | chỉ |
| solve động từ | /sɒlv/ | giải quyết |
| hire động từ | /ˈhaɪɹ/ | thuê, mướn |
Cụm động từ bạn sẽ nghe
| Từ | Nghĩa |
|---|---|
| check out động từ | tính tiền, trả phòng |
Ngữ pháp trong video
Những cấu trúc người nói dùng nhiều nhất, kèm đúng cụm từ trong video:
| Cấu trúc | Trong video |
|---|---|
| Thì hiện tại hoàn thành have/has + quá khứ phân từ — việc đã xảy ra nhưng còn liên quan đến hiện tại | has changed · have emerged · you've mutated |
| Câu bị động be + quá khứ phân từ — nhấn vào việc xảy ra, không phải người làm | is now endangered · was also generated · is nerfed |
| Mệnh đề quan hệ who / which + mệnh đề — thêm thông tin về người hoặc vật | code, which means · guy who keeps |
Phát âm cần chú ý
Người nói dùng 14 dạng rút gọn, ví dụ doesn't, hasn't, couldn't. Hãy nói theo dạng ngắn đúng như bạn nghe.
- Âm “th”: thread /ˈθɹɛd/, threaten /ˈθɹɛt.n̩/
- Âm “sh” và “zh”: contribution /ˌkɑntɹɪˈbjuʃən/, evolutionary /ˌiː.vəˈluː.ʃən.ɛɹ.i/, screenshot /ˈskriːn.ʃɑt/, benchmark /ˈbɛn(t)ʃmɑːk/
- Từ dài — đặt trọng âm cho đúng: developer /dɪˈvɛləpɚ/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, contribution /ˌkɑntɹɪˈbjuʃən/, fundamental /ˌfʌn.dəˈmɛn.təl/, evolutionary /ˌiː.vəˈluː.ʃən.ɛɹ.i/
Những âm người Việt thường gặp khó:
- Cụm phụ âm cuối — đọc đủ từng âm, đừng nuốt âm cuối: prompt /pɹɑmpt/, variant /ˈvæɹi.ənt/, extent /ɪkˈstɛnt/, solve /sɒlv/, craft /ˈkɹæft/
- Âm /tʃ/, /dʒ/ và /ʒ/ — tiếng Việt không có, đừng đọc thành “ch” hay “gi”: infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, usage /ˈjuːsɪd͡ʒ/, generate /ˈd͡ʒɛn.ə.ɹeɪt/, emerge /ɪˈmɝd͡ʒ/, endangered /ɪnˈdeɪn.d͡ʒɚd/
- Âm /æ/ — mở miệng rộng hơn âm “e”: habitat /ˈhæb.ɪ.tæt/, programmer /ˈpɹoʊɡɹæmɚ/, parallel /ˈpæ.ɹəˌlɛl/, variant /ˈvæɹi.ənt/, format /ˈfɔːɹ.mæt/
Cách luyện với video này
- Nghe hết video một lần, chưa cần nói, và ghi lại những từ bạn chưa biết.
- Bắt đầu ở tốc độ 0,75×, nói đuổi từng câu, rồi quay lại tốc độ bình thường khi đã quen.
- Ghi âm giọng mình rồi so với bản gốc, chú ý các từ như predator, programmer, vibe.
Phương Pháp Shadowing Là Gì?
Shadowing là kỹ thuật học ngôn ngữ có cơ sở khoa học, ban đầu được phát triển cho chương trình đào tạo phiên dịch viên chuyên nghiệp và được phổ biến rộng rãi bởi nhà đa ngôn ngữ học Dr. Alexander Arguelles. Nguyên lý cốt lõi đơn giản nhưng cực kỳ hiệu quả: bạn nghe tiếng Anh của người bản xứ và lặp lại to ngay lập tức — như một "cái bóng" (shadow) đuổi theo người nói với độ trễ chỉ 1–2 giây. Khác với luyện ngữ pháp hay học từ vựng bị động, Shadowing buộc não bộ và cơ miệng phải đồng thời xử lý và tái tạo ngôn ngữ thực tế. Các nghiên cứu khoa học xác nhận phương pháp này cải thiện đáng kể phát âm, ngữ điệu, nhịp điệu, nối âm, kỹ năng nghe và độ lưu loát khi nói — đặc biệt hiệu quả cho người luyện IELTS Speaking và muốn giao tiếp tiếng Anh tự nhiên như người bản ngữ.