跟读练习: 5 open source tools that replaced my $320/mo AI stack... - 通过视频学习英语口语
正在创建课程...
1
Recently, I did some math, and it made me realize how broken the world is.
2
A cursor, $20.
3
Claude Max, $100.
4
GPT Pro, another $100.
5
Gemini Ultra, another $100.
6
Not to mention 11 Labs, DeepSeq, and all the API keys I signed up for two years ago and forgot about.
7
My AI addiction got so expensive that I had to quit alcohol and Zin.
8
And I'm not the only one, because alcohol sales in the United States are currently sitting at historic lows.
9
And Big AI is the one to blame for this.
10
But that was my wake-up call, and since then, I've cancelled all these subscriptions, and now self-host the ultimate AI stack for developers that's not only cheaper, but far more productive.
11
In today's video, we'll look at a bunch of free and open-source projects you can run on your own server.
12
We'll make them work together, while still having the option to tap into the intelligence of big models like Claude and GPT Sol.
13
It is September 7th, 2026, and you're watching The Code Report.
14
The first tool we need to talk about is OLAMA, because every AI stack first needs a model.
15
For most people, this means sending your proprietary code to a trillion dollar corporation and trusting them to keep it totally safe, or you can use OLAMA and do everything locally.
16
I've talked about this tool many other times on the channel, and essentially it's like Docker for large language models.
17
It gives you a simple command line interface and API for downloading and running models on your own machine.
18
This is great if you want to try out the latest Chinese models or any other open weight models, and what's even better is that all your prompts stay private and the inference cost is zero,
19
which means the model continues to work even after your credit card is declined.
20
The big problem, though, is that you probably don't own the hardware to run anything close to state-of-the-art.
21
The small models will run almost anywhere, but running a frontier-sized model would require a small data center, and that's a big problem if you're a Vibe engineer who needs to write top-tier slot.
22
Luckily, there's a self-hostable solution to this called 9Router, which is an AI tool that sits between your AI tools and dozens of different model providers through one local endpoint.
23
Instead of juggling nine different API keys, 9Router provides one door with an OpenAI compatible proxy that allows you to point everything through localhost.
24
But the thing that's really cool about 9Router is fallback tiers.
25
On tier one, you might have an existing subscription like Claude Max that you already pay for.
26
Then on tier two, you might have a cheap pay-per-token OpenAI model as a backup.
27
Then tier three has all of free providers like Chinese models, vertex trial credits, and so on.
28
That means if you max out Claude Max, it'll automatically roll over to the next tier without you having to do anything.
29
But in addition to that, 9Router also tracks usage and will compress your tool output to reduce token consumption, which will ultimately save you a bunch of money.
30
But if you're still eating billions of tokens per day, then you need to know about Headroom, which is a context compression layer for AI agents.
31
You ask AI to center a div, and to do that, it reads 50,000 lines of your package lock JSON file, then it evaporates an Olympic-sized swimming pool worth of water,
32
just to realize it needs to install Tailwind CSS.
33
Headroom sits between your application and the model provider,
34
and compresses everything from tool outputs to log files and any other useless chunks before it actually goes to the model, which would be billable input tokens.
35
And one clever design feature of this tool is that it's reversible.
36
The compressed content that ships to the model is cached on your local machine, which means if the model ever needs it, it can always retrieve it.
37
This sounds awesome, but at this point, you might be wondering, where do I deploy all this stuff?
38
Well, the answer, of course, is Hostinger, the sponsor of today's video.
39
Not only is it one of the most affordable places to host your own virtual private server, but they also have an entire Docker catalog built into the panel,
40
which means every single open source project I talk about in this video can be hosted there with a single click.
41
In fact, you could have all these tools running and working together on the same VPS.
42
Head over to hostinger.com slash fireship and use my coupon code to save a bunch of money spinning up your own VPS.
43
Once you have that done, the next tool you'll want to install there is Diffy.
44
Everything we've talked about so far is infrastructure, but now it's time to build an actual app that'll make us rich.
45
Instead of trying to engineer everything through prompts, Diffy is a visual builder that allows us to drag nodes on a canvas.
46
This has been a game changer for Horse Tinder and its AI matchmaking feature.
47
The app will send Diffy each horse's profile information, then a visual workflow retrieves compatible horses from the database, and uses a large language model to explain each match.
48
Like Thunder and Butternuts are a 94% match because they both enjoy trail rides and biting children.
49
Then the entire workflow is exposed as an API, so the front-end application can just call it whenever a horse swipes right.
50
Amazing, but building apps as a human became outdated in Q2 2026 after the release of open hands
51
which is an open source tool
52
that allows you to fire yourself this tool is a top performing autonomous coding agent on swebench verified
53
which is the benchmark where models fix real github issues instead of trying to build
54
and fix things just open up github issues
55
and let open hands do all the work essentially it gives
56
you a command center where you can self-host an army of ai agents
57
that are always on and working in the background and because Because it's running on your own virtual private server, you have the option to run it with OpenAI or Anthropic models,
58
or use the local LLMs that you installed earlier with OLAMA.
59
And now at this point, we have our own private AI stack that could build any type of software you can imagine.
60
But this is just the tip of the iceberg, and there's tons of other open source applications in Hostinger's Docker catalog that you can install with zero hassle.
61
Check out the link below
62
and use coupon code Fireship to get your own virtual private server on Hostinger up and running right now.
63
This has been the Code Report, thanks for watching, and I will see you in the next one.
📺 同频道
C12
OpenAI’s lead engineer was secretly a spy...
Daily ConversationUniversity StudentsWorking Adults
C11
PostgreSQL in 100 Seconds
Daily ConversationWorking Adults
C11
Every app on Earth is now open source... whether it likes it or not
Daily ConversationWorking Adults
B23
Anthropic begged the world to stop AI… then shipped this
American AccentBusiness EnglishUniversity StudentsWorking Adults
C13
A $6.3 billion open-weight model just got embarrassed by the French...
Daily ConversationUniversity StudentsWorking Adults
B24
Raspberry Pi Explained in 100 Seconds
American AccentBusiness EnglishUniversity StudentsWorking Adults
C1100+ Docker Concepts you Need to Know
American AccentBusiness EnglishUniversity StudentsWorking Adults
B29
25 crazy software bugs explained
American AccentBusiness EnglishUniversity StudentsWorking Adults
B29
Git Explained in 100 Seconds
American AccentBusiness EnglishUniversity StudentsWorking Adults
B25
There's a new Linux distro in town for developers...
American AccentBusiness EnglishUniversity StudentsWorking Adults
B25
The "vibe coding" mind virus explained…
American AccentBusiness EnglishUniversity StudentsWorking Adults
B24
Linux got wrecked by backdoor attack
American AccentBusiness EnglishUniversity StudentsWorking Adults
B24
7 Programming myths that waste your time
American AccentBusiness EnglishUniversity StudentsWorking Adults
B23
OpenAI’s new browser feels familiar…
American AccentBusiness EnglishUniversity StudentsWorking Adults
C12
Meta's new model wants "deep access" to your personal life...
American AccentBusiness EnglishUniversity StudentsWorking Adults
C13
Did Google just kickstart the intelligence explosion?
American AccentBusiness EnglishDaily ConversationUniversity Students
B26
Intel chips can’t possibly be this bad… 100% crash rate?
American AccentBusiness EnglishUniversity StudentsWorking Adults
C17
The most interesting "hack" in history...
American AccentBusiness EnglishUniversity StudentsWorking Adults
C12
Godot in 100 Seconds
American AccentBusiness EnglishUniversity StudentsWorking Adults
B21
Grok 4 pushes humanity closer to AGI… but there’s a problem
American AccentBusiness EnglishUniversity StudentsWorking Adults
✨ 推荐视频
B23
165 句
How I'd Learn AI From Scratch in 2026 (skip the useless 80%)
American AccentBusiness EnglishUniversity StudentsWorking Adults
B21
311 句
I bought Black Market AI Tokens on Chinese Amazon
Business EnglishUniversity StudentsWorking Adults
C115
29 句
Amazon Athena explained in 120 seconds💡
Business EnglishUniversity StudentsWorking Adults
B24
180 句
Is AI Doom Real... or Just Good Marketing?
Business EnglishUniversity StudentsWorking Adults
B223 句
AI Made the Most Passive Side Hustle Even Easier
Business EnglishUniversity StudentsWorking Adults
B22
79 句
AI is flooding the internet—here’s what I’m protecting
American AccentBusiness EnglishUniversity StudentsWorking Adults
B2259 句
24h Inside $5M Silicon Valley AI Startup Building Personal Super Intelligence
Business EnglishUniversity StudentsWorking Adults
C11
78 句
How I deploy serverless containers for free
Business EnglishUniversity StudentsWorking Adults
B21
247 句
"This Doesn't Lie" | Build Your Own English Level Checker with Google AI Studio
Business EnglishUniversity StudentsWorking Adults
C12
182 句
We Let $200 GPT-Pro Think for 7 Days on Unsolved Math
Business EnglishUniversity StudentsWorking Adults
本课的词汇与口语要点
这节 B2 级别的口语课以视频“5 open source tools that replaced my $320/mo AI stack..”为素材。 视频中反复出现的词有：model, tool, tier, code, private。 这段视频共有 63 个句子、1161 个单词可供跟读。 讲话部分时长为 5:22。 说话人语速较快，每分钟约 217 个词，会出现较多连读和弱读。 只有 80% 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
视频中最难的 15 个单词，附发音和释义：
| 单词 | 发音 | 释义 |
|---|---|---|
| tier 名词 | /ˈtɪɚ/ | 層 /层, 排 |
| token 名词 | /ˈtoʊkən/ | 代幣 /代币, 籌碼 /筹码 |
| compress 动词 | /ˈkɑmpɹɛs/ | 壓縮 /压缩 |
| stack 名词 | /stæk/ | 堆 |
| install 动词 | /ɪnˈstɔl/ | 安裝 /安装 |
| hosting 名词 | /ˈhoʊstɪŋ/ | 寄存服務 /寄存服务 |
| workflow 名词 | /ˈwɝkfloʊ/ | 工作流 |
| retrieve 动词 | /ɹɪˈtɹiːv/ | 重拾 |
| coupon 名词 | /ˈkuːˌpɑn/ | 票證 /票证, 配給券 /配给券 |
| catalogue 名词 | /ˈkæt.əˌlɔɡ/ | 目錄 /目录 |
| compatible 形容词 | /kəmˈpæt.ə.bəl/ | 兼容的, 相容的 |
| subscription 名词 | /səbˈskɹɪpʃən/ | 訂閱 /订阅, 預訂 /预订 |
| cursor 名词 | /ˈkɜːsə/ | 遊標 /游标 or 游標 /游标, 光標 /光标 |
| endpoint 名词 | 端點 /端点 | |
| evaporate 动词 | /ɪˈvæp.ə.ɹeɪt/ | 蒸發掉 /蒸发掉, 揮發 /挥发 |
视频中出现的短语动词
| 单词 | 发音 | 释义 |
|---|---|---|
| check out 动词 | 退房 | |
| try out 动词 | 試用 /试用 | |
| wake up 动词 | /ˌweɪk ˈʌp/ | 醒, 醒來 /醒来 |
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 | I've cancelled · I've talked · we've talked |
| 被动语态 be + 过去分词 — 强调发生了什么，而不是谁做的 | is declined · is cached · can be hosted |
| 定语从句 who / which + 从句 — 补充说明人或事物 | consumption, which will · Headroom, which is · machine, which means |
需要注意的发音
说话人用了 13 次缩略和弱读形式，例如 you're, I've, we'll。请按听到的简短形式来说。
- “sh” 和 “zh” 音: subscription /səbˈskɹɪpʃən/, benchmark /ˈbɛn(t)ʃmɑːk/, cache /kæʃ/, compression /kəmˈpɹɛʃ.ən/, addiction /əˈdɪkˌʃən/
- 长单词——注意重音位置: compatible /kəmˈpæt.ə.bəl/, evaporate /ɪˈvæp.ə.ɹeɪt/, reversible /ɹəˈvɜː(ɹ)sɪbəl/, proprietary /pɹəˈpɹaɪ.ə.tə.ɹi/, autonomous /ɔˈtɑnəməs/
中文母语者容易读错的音：
- /v/ — 不要读成 /w/，上齿轻触下唇: provider /pɹəˈvaɪ.də(ɹ)/, retrieve /ɹɪˈtɹiːv/, evaporate /ɪˈvæp.ə.ɹeɪt/, reversible /ɹəˈvɜː(ɹ)sɪbəl/, vertex /ˈvɝˌtɛks/
- 词尾辅音 — 要读清楚，后面不要加元音: compress /ˈkɑmpɹɛs/, stack /stæk/, retrieve /ɹɪˈtɹiːv/, prompt /pɹɑmpt/, catalogue /ˈkæt.əˌlɔɡ/
- /r/ 和 /l/ 的区别: reversible /ɹəˈvɜː(ɹ)sɪbəl/, builder /ˈbɪl.dəɹ/
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 tier, token, compress 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。