ฝึกพูดภาษาอังกฤษด้วยเทคนิค Shadowing จากวิดีโอ: Every app on Earth is now open source... whether it likes it or not

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63 ประโยค
หากประโยคสั้นหรือยาวเกินไป กดที่ Edit เพื่อปรับแก้
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Last week, a developer got so tired of Adobe's predatory business model
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that he decided to rebuild seven of its Creative Cloud apps with Rust, like Photoshop, Illustrator, and Premiere, then open -sourced them and gave them away for free.
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The project is called ArtCraft, and the developer's name is Brandon Thomas, who, after being hit with Adobe's cancellation fee more than once,
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opened up Cloud, then reverse -engineered Adobe's 30 -plus -year codebase from scratch, and the apps even run on Linux, a platform Adobe has never officially supported.
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What's crazy, though, is that you, the human being watching this video, can do the same thing thanks to an unrelated project called Reverse Engineer Anything.
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It's been going viral on the internet lately because it can easily decompile any native binaries you can get your hands on.
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We're talking stripped ELF, PE, and Mako executables, JVM bytecode with obfuscated constant pools, ECMA 335 -compliant .NET assemblies,
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bare metal firmware with architecture -specific instruction sets, and even OCI container layers entangled in declarative infrastructure manifests.
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In layman's terms, that means virtually every app in the world is now open source, whether it wants to be or not.
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In today's video, we'll attempt to reverse engineer anything and everything
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and find out if this is the final nail in the coffin for software as we know it.
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It is October 12th, 2026, and we're watching the Code Report.
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So is it really true that one person plus Claude made the entire Adobe suite obsolete overnight?
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Well, on the surface, yes.
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As you can see on the website, you can download a Rust -based version of any Adobe program for free right now.
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That's awesome, but after trying it out myself, I realized there's one small catch.
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The software is a nearly unusable pile of vibe -coded horse shit.
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Now, I begrudgingly pay Adobe at $69 tribute every month to use Premiere to edit these videos for you guys, and I was thrilled to finally see an open -source alternative.
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And let's just ignore the fact that DaVinci Resolve has been an open -source alternative for over 20 years now.
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And when I first opened Filmcraft, I was thrilled to see that the UI was nearly a 1 -to -1 clone of Premiere, so I could get to work immediately without any learning curve.
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My plan was to edit this video with it, but the cracks became visible immediately.
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Like, after dragging a clip of some lame stock video onto the timeline, and hitting play, there was a massive lag in the audio bars,
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and just overall slowness and lagginess despite being vibe -coded in Rust, which I've been told is a blazingly fast programming language.
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So then, I tried implementing some transitions between clips, and they were just nowhere near the quality of Premiere, which you can clearly see with this glitch transition side -by -side.
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And for someone like me, who's a once -in -a -generation cinematic visionary, who many have called the Stanley Kubrick of sponsored shitposts.
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The sad reality is that film craft is just not good enough yet, but I sincerely hope it gets there someday because f* Adobe.
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But then that got me thinking, what if instead of trying to use off -brand Premiere, I just reverse engineer it myself and make it simpler
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because Premiere has hundreds of features that I don't use that just get in the way.
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Luckily, there's a new project in town that can help us do that called reverse engineer anything.
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Adobe Premiere is primarily written in C and C++, and crazy smart Asians on H1B visas have been writing its code for decades.
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Now, its actual source code is top -secret Adobe intellectual property, but in order to actually run it on your machine, they need to compile that code into a native binary of ones and zeros.
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This stuff is almost unreadable to humans, but with a lot of painstaking work, it is technically possible to map these ones and zeros back into something that resembles human -readable source code,
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and the REA project can do that for people who can't even count to three in binary.
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First, we set it up by running it with Node .js and the npx command, and then because I'm a loser on Microsoft Windows, we'll configure REA's Ghidra integration,
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which is actually the tool that deserves the most credit here, and can do a read -only analysis of native EXEs and DLLs.
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Then from there, we can just use it like any other AI agent
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and tell it to inspect the locally installed version of Adobe Premiere.
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In this case, I'll have it inspect Adobe's timeline integration and try to figure out how it does this one specific feature.
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A while later, we get back a bunch of C -like pseudocode, along with assembly, string, symbols, calls, and references, which to an obsolete HTML programmer is all pretty useless.
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However, we can now take this garbage code
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and pass it off to our favorite coding agent to re -implement the exact same feature in Rust.
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And thanks to reverse engineering, I'll eventually be able to build my own version of Premiere Lite that's not only free, but only has the actual features I want to use.
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But as a cheapskate developer, I'm not stopping there.
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I think it's crazy
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that any real Vibe developer in 2026 is still paying money for developer tools when that money should be spent burning tokens.
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For example, let's take a look at an ancient technology called Supabase, which is basically a wrapper on top of AWS that provides a UI for your database.
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Even though it's mostly open source, it has a ton of features I don't want.
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So what I'm doing instead is using the networking feature in REA to analyze API interactions and UI changes,
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which has allowed me to build a better backend that I'm calling stud base, which is not only perfectly tailored to the needs of horse tender and donker,
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but is also orders of magnitude cheaper and faster according to this benchmark I just made up.
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Trust me, bro.
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You can trust these Trust Me Bro benchmarks.
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And another thing you can trust is Appify, the sponsor of today's video.
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Their MCP server lets you connect your agent to thousands of tools called Actors.
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They can do things like scrape live data from YouTube or monitor your competitors' prices on Amazon.
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But right now, I'm using it to track the most liked posts on the donkeys of Instagram hashtag
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so I can invite the most desirable asses to sign up on Donker.
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It only takes one line to connect to the server, and I could explain what I wanted it to do in natural language. From there, my agent started using the relevant Appify tools to return to
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the structured data I needed in order to help these gay donkeys find love.
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But the most impressive part was how few tokens it took, because Appify's MCP server only exposes a handful of core tools, it then finds the best one for your job,
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and runs it in the background to avoid token bloat.
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You get $25 in free credits to try it out by using the code Fireship25 at the link below.
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This has been The Code Report, thanks for watching, and I will see you in the next one.

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คำศัพท์และข้อสังเกตด้านการพูดสำหรับบทเรียนนี้

บทเรียนฝึกพูดนี้ใช้วิดีโอ “Every app on Earth is now open source... whether it likes it or not” เป็นสื่อ คำที่ถูกพูดซ้ำบ่อยที่สุด: Premiere, Adobe, code, reverse, feature วิดีโอนี้มี 63 ประโยค และ 1233 คำ สำหรับฝึกพูดตาม ช่วงที่มีเสียงพูดยาว 5:54 ผู้พูดพูดเร็ว ประมาณ 209 คำต่อนาที จึงมีการเชื่อมเสียงและลดเสียงค่อนข้างมาก มีเพียง 76% ของคำที่อยู่ใน 3,000 คำที่ใช้บ่อยที่สุดในภาษาอังกฤษ คำศัพท์จึงค่อนข้างยาก

คำศัพท์สำคัญในวิดีโอนี้

คำที่ควรเรียนรู้ 15 คำจากวิดีโอ พร้อมคำอ่านและความหมาย:

คำศัพท์คำอ่านความหมาย
server คำนาม/ˈsɝvɚ/เซิร์ฟเวอร์
connect คำกริยา/kəˈnɛkt/เชื่อม, ต่อ
edit คำกริยา/ˈɛdɪt/แก้ไข
donkey คำนาม/ˈdɑŋ.ki/ลา
ignore คำกริยา/ɪɡˈnɔː/เมิน
infrastructure คำนาม/ˈɪnfɹəˌstɹʌkt͡ʃə/โครงสร้างพื้นฐาน
architecture คำนาม/ˈɑː.kɪˌtɛk.t͡ʃə/สถาปัตยกรรม
layer คำนาม/ˈleɪ̯ɚ/ชั้น
string คำนาม/stɹɪŋ/ด้าย, เชือก
monitor คำนาม/ˈmɑ.nɪ.tɚ/จอภาพ, หน้าจอ
strip คำกริยา/ˈstɹɪp/แก้ผ้า, เปลื้องผ้า
database คำนาม/ˈdeɪtəˌbeɪs/ฐานข้อมูล
symbol คำนาม/ˈsɪmbəl/สัญลักษณ์
invite คำกริยา/ɪnˈvaɪt/เชิญ
drag คำกริยา/dɹæɡ/ลาก

ไวยากรณ์ในวิดีโอนี้

โครงสร้างที่ผู้พูดใช้บ่อยที่สุด พร้อมคำพูดจริงจากวิดีโอ:

โครงสร้างในวิดีโอ
Present perfect continuous have/has been + -ing — การกระทำที่เริ่มก่อนหน้านี้และยังดำเนินอยู่It's been going · have been writing
Present perfect have/has + กริยาช่อง 3 — เหตุการณ์ในอดีตที่ยังเกี่ยวข้องกับปัจจุบันhas been · I've been told · have called
Passive voice be + กริยาช่อง 3 — เน้นสิ่งที่เกิดขึ้น ไม่ใช่ผู้กระทำis called · was thrilled · I've been told
Relative clauses who / which + อนุประโยค — ข้อมูลเพิ่มเติมเกี่ยวกับคนหรือสิ่งของpeople who can · Supabase, which is · base, which is

การออกเสียงที่ควรระวัง

ผู้พูดใช้รูปย่อและรูปลดเสียง 15 ครั้ง เช่น I'm, don't, I'll ให้พูดแบบสั้นตามที่ได้ยิน

  • เสียง “sh” และ “zh”: transition /tɹænˈzɪʃ.ən/, integration /ˌɪn.tɪˈɡɹeɪ.ʃən/, benchmark /ˈbɛn(t)ʃmɑːk/, interaction /ˌɪn.təˈɹæk.ʃən/, instruction /ɪnˈstɹʌkʃən/
  • คำยาว — ลงเสียงหนักให้ถูกพยางค์: developer /dɪˈvɛləpɚ/, integration /ˌɪn.tɪˈɡɹeɪ.ʃən/, primarily /ˈpɹaɪ.mə.ɹə.li/, infrastructure /ˈɪnfɹəˌstɹʌkt͡ʃə/, architecture /ˈɑː.kɪˌtɛk.t͡ʃə/

เสียงที่คนไทยมักออกเสียงยาก:

  • เสียงท้ายคำ — ออกเสียงให้ครบ ไม่เปลี่ยนเป็นตัวสะกดแบบไทย: reverse /ɹɪˈvɝs/, thrill /θɹɪl/, impressive /ɪmˈpɹɛsɪv/, visible /ˈvɪzɪb(ə)l/, database /ˈdeɪtəˌbeɪs/
  • /v/ — ไม่ใช่ /w/ ให้ฟันบนแตะริมฝีปากล่าง: reverse /ɹɪˈvɝs/, developer /dɪˈvɛləpɚ/, server /ˈsɝvɚ/, vibe /vaɪb/, impressive /ɪmˈpɹɛsɪv/
  • /z/ — เสียงก้อง ไม่ใช่ /s/: transition /tɹænˈzɪʃ.ən/, visible /ˈvɪzɪb(ə)l/, visa /ˈviːzə/, loser /luzɚ/, expose /ɪkˈspoʊz/

วิธีฝึกกับวิดีโอนี้

  1. ฟังวิดีโอให้จบหนึ่งรอบโดยยังไม่ต้องพูด แล้วจดคำที่ยังไม่รู้จัก
  2. เริ่มที่ความเร็ว 0.75× พูดตามทีละประโยค แล้วกลับไปใช้ความเร็วปกติเมื่อเริ่มคล่อง
  3. อัดเสียงตัวเองแล้วเทียบกับต้นฉบับ โดยสังเกตคำอย่าง server, connect, edit เป็นพิเศษ

เทคนิค Shadowing คืออะไร?

Shadowing เป็นเทคนิคการเรียนรู้ภาษาที่ได้รับการรับรองทางวิทยาศาสตร์ พัฒนาขึ้นสำหรับการฝึกนักแปลมืออาชีพ วิธีการนี้เรียบง่ายแต่ทรงพลัง: คุณฟังเสียงภาษาอังกฤษจากเจ้าของภาษาและพูดตามทันที — เหมือนเงาที่ตามผู้พูดด้วยช่วงเวลาห่าง 1-2 วินาที การวิจัยแสดงว่าเทคนิคนี้ปรับปรุงความแม่นยำในการออกเสียง ทำนองเสียง จังหวะ การเชื่อมเสียง การฟังเข้าใจ และความคล่องแคล่วในการพูดได้อย่างมีนัยสำคัญ

เทคนิค shadowing: อ่านคู่มือฉบับเต็มทีละขั้นตอน →