Pratica di Shadowing: 5 open source tools that replaced my $320/mo AI stack... - Impara a parlare inglese con i video
Creazione lezione...
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.
📺 Stesso Canale
B22
A $6.3 billion open-weight model just got embarrassed by the French...
C11
PostgreSQL in 100 Seconds
C12
DNS Explained in 100 Seconds
American AccentBusiness EnglishUniversity StudentsWorking Adults
B23
Anthropic begged the world to stop AI… then shipped this
American AccentBusiness EnglishUniversity StudentsWorking Adults
B22
One man just liberated Fable... and now it’s illegal
American AccentBusiness EnglishUniversity StudentsWorking Adults
B22
7 Things No Programmer Ever Wants to Hear
American AccentBusiness EnglishWorking Adults
B21
80% of programmers are NOT happy… why?
American AccentBusiness EnglishUniversity StudentsWorking Adults
B24
Raspberry Pi Explained in 100 Seconds
American AccentBusiness EnglishUniversity StudentsWorking Adults
C13
Tragic mistake... Anthropic leaks Claude’s source code
American AccentBusiness EnglishUniversity StudentsWorking Adults
C1100+ Docker Concepts you Need to Know
American AccentBusiness EnglishUniversity StudentsWorking Adults
C129
Docker in 100 Seconds
American AccentBusiness EnglishUniversity StudentsWorking Adults
C13
The mystery is solved... and the answer is 40x cheaper than Claude
American AccentBusiness EnglishUniversity StudentsWorking Adults
B28
An ex-OpenAI researcher just deleted language from the LLM...
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
C115
Nvidia CUDA in 100 Seconds
American AccentBusiness EnglishUniversity StudentsWorking Adults
✨ Video consigliato
B21
341 frasi
I Tried PewDiePie's Odysseus AI So You Don't Have To
Business EnglishUniversity StudentsWorking Adults
B23
165 frasi
How I'd Learn AI From Scratch in 2026 (skip the useless 80%)
American AccentBusiness EnglishUniversity StudentsWorking Adults
B21
311 frasi
I bought Black Market AI Tokens on Chinese Amazon
Business EnglishUniversity StudentsWorking Adults
B21
283 frasi
The Gaming Market is Starting to Break.
British AccentBusiness EnglishUniversity StudentsWorking Adults
B21
179 frasi
I Self-Hosted for a Year... Here's What I'd Do Differently.
Business EnglishUniversity StudentsWorking Adults
B22
142 frasi
The Kurzgesagt Situation is Insane
Business EnglishUniversity StudentsWorking Adults
B21
76 frasi
Nvidia's New Laptops - RTX Spark
Business EnglishUniversity StudentsWorking Adults
B24
180 frasi
Is AI Doom Real... or Just Good Marketing?
Business EnglishUniversity StudentsWorking Adults
B21
339 frasi
The (Overdue) Collapse of AI Layoffs (here's the proof)
Business EnglishInterview EnglishUniversity Students
B21
329 frasi
Laziest Ways to Make Money with AI (For Beginners)
Business EnglishUniversity StudentsWorking Adults
Vocabolario e note di pronuncia per questa lezione
Questa lezione di conversazione di livello B2 si basa sul video “5 open source tools that replaced my $320/mo AI stack..”. Le parole che ritornano più spesso: model, tool, tier, code, private. Questo video contiene 63 frasi e 1161 parole da ripetere con lo shadowing. Il parlato dura 5:22. Chi parla va veloce, circa 217 parole al minuto: aspettati suoni legati e ridotti. Solo il 80% delle parole rientra nelle 3.000 più comuni dell’inglese, quindi il lessico è impegnativo.
Vocaboli chiave di questo video
Le 15 parole più avanzate del video, con pronuncia e significato:
| Parola | Pronuncia | Significato |
|---|---|---|
| tier sostantivo | /ˈtɪɚ/ | strato, ripiano |
| token sostantivo | /ˈtoʊkən/ | simbolo, segno |
| compress verbo | /ˈkɑmpɹɛs/ | comprimere |
| stack sostantivo | /stæk/ | pila, bica |
| provider sostantivo | /pɹəˈvaɪ.də(ɹ)/ | fornitore |
| install verbo | /ɪnˈstɔl/ | installare |
| workflow sostantivo | /ˈwɝkfloʊ/ | flusso di lavoro, procedura |
| retrieve verbo | /ɹɪˈtɹiːv/ | recuperare, riguadagnare |
| prompt verbo | /pɹɑmpt/ | incitare, guidare |
| coupon sostantivo | /ˈkuːˌpɑn/ | cupone |
| catalogue sostantivo | /ˈkæt.əˌlɔɡ/ | catalogo |
| compatible aggettivo | /kəmˈpæt.ə.bəl/ | compatibile |
| subscription sostantivo | /səbˈskɹɪpʃən/ | abbonamento |
| cursor sostantivo | /ˈkɜːsə/ | puntatore, cursore |
| endpoint sostantivo | estremo |
I phrasal verb che sentirai
| Parola | Pronuncia | Significato |
|---|---|---|
| check out verbo | investigare | |
| open up verbo | aprire | |
| try out verbo | saggiare, collaudare | |
| wake up verbo | /ˌweɪk ˈʌp/ | svegliarsi |
La grammatica di questo video
Le strutture che chi parla usa di più, con le parole esatte del video:
| Struttura | Nel video |
|---|---|
| Present perfect have/has + participio passato — un’azione passata che conta ancora adesso | I've cancelled · I've talked · we've talked |
| Forma passiva be + participio passato — conta ciò che accade, non chi lo fa | is declined · is cached · can be hosted |
| Frasi relative who / which + frase — un’informazione in più su una persona o una cosa | consumption, which will · Headroom, which is · machine, which means |
Pronuncia a cui fare attenzione
Chi parla usa 13 contrazioni e forme ridotte, come you're, I've, we'll. Pronunciale nella forma breve, così come le senti.
- I suoni “sh” e “zh”: subscription /səbˈskɹɪpʃən/, benchmark /ˈbɛn(t)ʃmɑːk/, cache /kæʃ/, compression /kəmˈpɹɛʃ.ən/, addiction /əˈdɪkˌʃən/
- Parole lunghe — attenzione all’accento: compatible /kəmˈpæt.ə.bəl/, evaporate /ɪˈvæp.ə.ɹeɪt/, reversible /ɹəˈvɜː(ɹ)sɪbəl/, proprietary /pɹəˈpɹaɪ.ə.tə.ɹi/, autonomous /ɔˈtɑnəməs/
I suoni difficili per chi parla italiano:
- /h/ — va soffiata, non è muta: hosting /ˈhoʊstɪŋ/, hassle /ˈhæsl̩/
- Consonante finale — senza aggiungere una vocale dopo: compress /ˈkɑmpɹɛs/, stack /stæk/, retrieve /ɹɪˈtɹiːv/, prompt /pɹɑmpt/, catalogue /ˈkæt.əˌlɔɡ/
- /æ/ — più aperta della “e”: stack /stæk/, catalogue /ˈkæt.əˌlɔɡ/, compatible /kəmˈpæt.ə.bəl/, evaporate /ɪˈvæp.ə.ɹeɪt/, fallback /ˈfɔːl.bæk/
Come esercitarsi con questo video
- Ascolta tutto il video una volta senza parlare e annota le parole che non conosci.
- Inizia a velocità 0,75×, fai shadowing frase per frase e torna alla velocità normale quando diventa facile.
- Registrati e confronta con l’originale, facendo attenzione a parole come tier, token, compress.
Cos'è la tecnica dello Shadowing?
Shadowing è una tecnica di apprendimento delle lingue supportata da studi scientifici, originariamente sviluppata per la formazione dei traduttori professionisti e resa popolare dal poliglotta Dr. Alexander Arguelles. Il metodo è semplice ma potente: ascolti un audio in inglese di madrelingua e lo ripeti immediatamente ad alta voce — come un'ombra che segue il parlante con un ritardo di solo 1–2 secondi. A differenza dell'ascolto passivo o degli esercizi di grammatica, lo shadowing costringe il tuo cervello e i muscoli della bocca a elaborare e riprodurre simultaneamente i modelli di discorso reale. La ricerca dimostra che migliora significativamente la precisione della pronuncia, l'intonazione, il ritmo, il discorso connesso, la comprensione dell'ascolto e la fluidità del parlato — rendendolo uno dei metodi più efficaci per la preparazione alla prova di speaking dell'IELTS e per la comunicazione reale in inglese.