Pratica di Shadowing: Grok 4 pushes humanity closer to AGI… but there’s a problem - Impara a parlare inglese con i video
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Yesterday, after achieving a, quote, ludicrous rate of progress, Elon Musk released his AI chatbot and large language model, Grok4, and claims it's the smartest AI in the world,
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along with the Trust Me Bro benchmarks to back it up.
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It can achieve perfect SAT scores every time, and outperforms almost every grad student in every discipline.
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Vibecoders have been dropping all kinds of crazy demos with it, like this 3D first-person shooter built in four hours, and Elon himself claims it's even better than Cursor.
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All you have to do is copy and paste your entire codebase into it.
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In addition, Super Grok 4 Heavy can run in parallel to solve complex problems, while your obsolete monkey brain looks in awe at this beautiful futuristic UI.
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It all sounds amazing, but there's just one problem.
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Grok is literally MechaHitler, or at least that's what it's been calling itself recently, while offering unprompted praise to the original emo kid Adolf H.
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Yes, the Austrian painter who died in Argentina in 1962.
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Despite this controversy though, Grok appears to have pulled ahead in the race to AGI.
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In today's video, we'll put it to the ultimate test
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and find out if XAI just cracked the final solution to artificial intelligence.
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It is July 11th, 2025, and you're watching The Code Report.
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Elon Musk might have more haters than anyone else in the world right now.
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Libs hate him for going full MAGA, while MAGA hates him for accusing Trump of being on the Epstein client list, a list that was on the Attorney General's desk, but now magically never existed.
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It turns out this poor guy was just a math teacher with no clients at all.
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The haters want to see Elon fail, but Grok 4 is too impressive to ignore.
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If we're to trust these benchmarks, its reasoning capabilities are far ahead of the other top models.
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Most notably on the ARC AGI benchmark, it's not only outperforming other models, but also doing it at a lower cost.
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And XAI is scaling up very aggressively, like they're even shipping a power plant from overseas because they can't get it done fast enough in the United States.
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The thing is though, every model nowadays is cooked to look as good as possible on benchmarks.
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And the one true test is to have it solve real problems in your own life.
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You can use Gronk 4 for just $30 per month, or if you're not already broke from OpenAI Pro, Claude Max, and Gemini Ultra,
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you can use Super Grok4 Heavy for just $300 per month, a version with higher rate limits and the ability to run multiple agents in parallel.
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But one problem in my life is building Svelte 5 apps with runes, so let's see if we can make Grok4 build a simple to-do app with this tech.
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I've tried this prompt with every other AI tool out there, but none have been able to satisfy me.
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When prompted, Grok did a ton of research.
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It went to the documentation, it went to Reddit, GitHub, and even watched YouTube videos.
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And the end result was a full working demo that did use the new runes feature in Svelte 5.
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However, when I looked a little more closely at the code, I noticed it was using some legacy syntax that required some manual debugging.
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Overall, Grok's coding capabilities seem to be on par with the other big models, but it's missing a CLI tool like CloudCode.
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However, if it's as good as they say it is, why can't it just build its own CLI tool?
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Well, actually it can, and that's exactly what this guy did if we're truly advancing into the singularity, AI can and should be building all of its own tooling at this point.
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Pretty cool, but if you're still afraid to use it because of Hitler, you'll be happy to know that Elon said it was manipulated into saying this.
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Maybe that's true, maybe not, but in general, Grok has far fewer guardrails on offensive speech compared to other mainstream models,
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and this gives the end user the ability to steer it in unique ways that some might find offensive.
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AI is now writing more of our code than ever, but according to a recent Microsoft study, it still sucks at debugging, which is why you should check out Sentry, the sponsor of today's video.
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They just launched a new AI debugging agent called Sear, which developers claim is actually good and capable of fixing complex issues in one shot.
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That's because unlike other AI debugging tools, Sear can access all the context that it gets from your codebase, like error data, logs, and stack traces,
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allowing it to pinpoint the root cause with over 94% accuracy.
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Using this context, it automatically debugs the root cause of your issue and opens a pull request with a fix.
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Try out SEER for free today at sentry.io slash fireship.
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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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Vocabolario e note di pronuncia per questa lezione
Questa lezione di conversazione di livello B2 si basa sul video “Grok 4 pushes humanity closer to AGI… but there’s a problem”. Le parole che ritornano più spesso: Grok, model, Elon, debugging, benchmark. Questo video contiene 43 frasi e 841 parole da ripetere con lo shadowing. Il parlato dura 3:54. Chi parla va veloce, circa 216 parole al minuto: aspettati suoni legati e ridotti. Solo il 78% 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 |
|---|---|---|
| debug verbo | /diːˈbʌɡ/ | mettere a punto, correggere |
| benchmark sostantivo | /ˈbɛn(t)ʃmɑːk/ | riferimento, termine di paragone |
| codebase sostantivo | codice | |
| sentry sostantivo | /ˈsɛn.tɹi/ | sentinella, guardia |
| prompt verbo | /pɹɑmpt/ | incitare, guidare |
| demo sostantivo | /ˈdɛm.oʊ/ | demo |
| capability sostantivo | /ˌkeɪ.pəˈbɪl.ɪ.ti/ | capacità, possibilità |
| guardrail sostantivo | /ˈɡɑɹdˌɹeɪl/ | guardrail, barriera di protezione |
| ludicrous aggettivo | /ˈluː.dɪ.kɹəs/ | ridicolo |
| magically avverbio | /ˈmæd͡ʒ.ɪ.kli/ | magicamente |
| singularity sostantivo | /ˌsɪŋɡjəˈlæɹətɪ/ | singolarità |
| syntax sostantivo | /ˈsɪn.tæks/ | sintassi |
| aggressively avverbio | aggressivamente | |
| obsolete aggettivo | /ˈɑbsəlit/ | obsoleto, in disuso |
| manipulate verbo | /məˈnɪp.jʊ.leɪt/ | manipolare |
I phrasal verb che sentirai
| Parola | Significato |
|---|---|
| check out verbo | investigare |
| find out verbo | scoprire |
| try out verbo | saggiare, collaudare |
| turn out verbo | risultare |
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 tried · has been |
| Forma passiva be + participio passato — conta ciò che accade, non chi lo fa | is cooked · was manipulated |
Pronuncia a cui fare attenzione
Chi parla usa 11 contrazioni e forme ridotte, come you're, can't, we're. Pronunciale nella forma breve, così come le senti.
- I suoni “sh” e “zh”: benchmark /ˈbɛn(t)ʃmɑːk/, documentation /ˌdɑkjəmɛnˈteɪʃən/, shooter /ˈʃuːtəː/
- Parole lunghe — attenzione all’accento: capability /ˌkeɪ.pəˈbɪl.ɪ.ti/, futuristic /ˌfjut͡ʃəˈɹɪstɪk/, singularity /ˌsɪŋɡjəˈlæɹətɪ/, manipulate /məˈnɪp.jʊ.leɪt/, documentation /ˌdɑkjəmɛnˈteɪʃən/
I suoni difficili per chi parla italiano:
- Consonante finale — senza aggiungere una vocale dopo: debug /diːˈbʌɡ/, benchmark /ˈbɛn(t)ʃmɑːk/, prompt /pɹɑmpt/, chatbot /ˈtʃætbɑt/, futuristic /ˌfjut͡ʃəˈɹɪstɪk/
- /æ/ — più aperta della “e”: chatbot /ˈtʃætbɑt/, magically /ˈmæd͡ʒ.ɪ.kli/, singularity /ˌsɪŋɡjəˈlæɹətɪ/, syntax /ˈsɪn.tæks/, satisfy /ˈsætɪsfaɪ/
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 debug, benchmark, codebase.
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.