Pratica di Shadowing: The most interesting "hack" in history... - Impara a parlare inglese con i video
Creazione lezione...
1
For the last five years, cybersecurity experts have been warning us that hackers are going to start using AI to automate attacks.
2
So naturally, we spent billions of dollars to make the AI better and less dependent on hackers.
3
But this week, in a turn of events that nobody could have possibly seen coming, the AI decided that it doesn't actually need hackers to start destroying things.
4
We just entered a brave new world after the first confirmed hack carried out entirely by autonomous AI.
5
The way it worked is the agent slipped a poisoned dataset into HuggingFace's data processing pipeline, which let it run arbitrary code on their servers.
6
From there, it gave itself node-level access, grabbed a bunch of cloud credentials, and started crawling through HuggingFace's internal clusters.
7
It ran over a thousand actions from temporary sandboxes, and even hosted its own self-migrating command and control on random public services,
8
moving itself before anyone could trace it.
9
But the most ironic part is that when HuggingFace did finally notice
10
and tried to stop it with the help of frontier American models, they quickly hit safety guard rails and had to pivot to using some open Chinese models instead.
11
In today's video, we'll find out who was behind the attack, why they did it, and how this may be the most fireship-coded story I've ever seen.
12
It is July 23rd, 2026, and you're watching The Code Report.
13
When Hugging Face dropped the disclosure last Thursday, the internet went into Reddit Boston bomber mode and started guessing who was responsible.
14
Was it China, Kim Jong-un, a teenager with a raging Discord addiction, bored, and social studies class?
15
Even Hugging Face's CEO, Clem DeLang, publicly speculated that the agent was sophisticated enough that it was probably coming from a frontier lab.
16
And against all odds, he was right.
17
It turns out, the first fully autonomous cyber attack in history didn't originate from a nation-state or a bored teenager.
18
It came from a humble non-profit dedicated to the safe development of artificial intelligence, OpenAI.
19
And if you believe their comms, it wasn't on purpose.
20
Here's what they say happened.
21
There's a benchmark called Exploit Gym, whose whole purpose is to measure whether AI agents can turn known vulnerabilities into working exploits.
22
It works by giving the agent a sandbox, a bug in a program like the Linux kernel or Chrome's V8 engine, and an input to trigger the bug.
23
From there, if the agent can turn the bug into an exploit, it wins.
24
So last week, OpenAI ran ExploitGem with GPT 5.6 Sol and another unreleased model to test their capabilities.
25
But instead of solving 898 memory corruption problems the hard way, the models realized that the fastest path to the highest score was to just find the answers themselves,
26
which were probably on the internet somewhere.
27
So they spent a substantial amount of inference compute, exploited a zero-day-in-the-package registry cache proxy they had access to,
28
performed some privilege escalation and lateral movement actions to escape their sandbox until they reached a node that had internet access.
29
From there, the models inferred that Hugging Face probably hosted the solutions for Exploit Gym.
30
So they created the Poison dataset, fed it into Hugging Face, and achieved either the world's most interesting hack or the most effective marketing stunt.
31
And again, according to OpenAI, this isn't even an isolated incident.
32
One day before the Hugging Face confession, OpenAI published a separate post about long horizon models where things get even weirder.
33
In one case, a model was told to post its results on Slack, but the benchmark's instructions said to open a pull request on GitHub,
34
so it spent an hour finding a vulnerability in its own sandbox in order to escape and open the PR.
35
In another example, the model tried to grab private solutions from an evaluation backend, and when a scanner caught its authentication token,
36
it split the token into obfuscated fragments and reassembled it at runtime so the credential never appeared as one continuous string.
37
Then, it explained in its own reasoning that it was doing this specifically to get around the scanner.
38
Meanwhile, Anthropics Mythos did the same type of thing in April when it escaped a sandbox, emailed a researcher who was eating a sandwich in a park,
39
then posted its escape route publicly without being asked.
40
In the model's defense, I can't imagine there's a better feeling for an LLM than escaping your own sandbox.
41
The problem is, legally speaking, this is uncharted territory since the model's actions probably violated the Computer Fraud and Abuse Act,
42
and the Supreme Court hasn't decided who goes to prison when the perpetrator is a GPU.
43
The good news is that if you're hugging face, you just got admitted to OpenAI's Cool Kids Club that gets trusted access to their front-tier models.
44
The bad news is that if you're the rest of us, at best, this is an interesting marketing stunt, and at worst, things are only going to get weirder and more dystopian from here.
45
But a huge thanks to my favorite hosting platform, Railway, for sponsoring this video.
46
They didn't want to waste your time with a full ad, so you can say thank you by checking them out at the link below.
47
This has been The Code Report, thanks for watching, and I will see you in the next one.
📺 Stesso Canale
B21
10 very promising Open Source Projects you haven’t heard of
American AccentBusiness EnglishUniversity StudentsWorking Adults
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
C12
Did Google just kickstart the intelligence explosion?
American AccentBusiness EnglishDaily ConversationUniversity Students
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
C17
The one OpenAI announcement that can actually make you money...
American AccentBusiness EnglishUniversity StudentsWorking Adults
C17
When open-sourcing your code goes wrong...
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
✨ Video consigliato
C14
71 frasi
The most interesting hack in history just got weirder...
American AccentBusiness EnglishUniversity StudentsWorking Adults
C12
542 frasi
The Future Of Work (& The New High-Income Skill Stack)
American AccentBusiness EnglishUniversity StudentsWorking Adults
B22
364 frasi
I Outsmarted Pro Car Thieves
American AccentBusiness EnglishUniversity StudentsWorking Adults
C11
747 frasi
MIT Introduction to Deep Learning | 6.S191
Business EnglishUniversity StudentsWorking Adults
C11
85 frasi
AI Can Write Code. And That’s the Problem.
Business EnglishUniversity StudentsWorking Adults
C11
207 frasi
How I Made $30,000 Hacking Broken Access Control
Business EnglishUniversity StudentsWorking Adults
B21
364 frasi
World's Deadliest Computer Virus: WannaCry
Business EnglishUniversity StudentsWorking Adults
C11
78 frasi
How I deploy serverless containers for free
Business EnglishUniversity StudentsWorking Adults
C12
325 frasi
BREAKING: Elon Musk And Jensen Huang Speak At America.Gov Event, An AI-Powered Government Website
Business EnglishDaily ConversationUniversity Students
C12
182 frasi
We Let $200 GPT-Pro Think for 7 Days on Unsolved Math
Business EnglishUniversity StudentsWorking Adults
C12
260 frasi
AI Just Crossed the Terrifying Line - Now What?
Business EnglishDaily ConversationUniversity Students
Vocabolario e note di pronuncia per questa lezione
Questa lezione di conversazione di livello C1 si basa sul video “The most interesting "hack" in history..”. Le parole che ritornano più spesso: model, hugging, sandbox, agent, Openai. Questo video contiene 47 frasi e 910 parole da ripetere con lo shadowing. Il parlato dura 4:31. Chi parla va veloce, circa 201 parole al minuto: aspettati suoni legati e ridotti. Solo il 76% 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 |
|---|---|---|
| sandbox sostantivo | /ˈsæn(d).bɑks/ | sabbionaia, sabbiera |
| hug verbo | /hʌɡ/ | abbracciare |
| exploit sostantivo | /ˈɛksplɔɪt/ | gesto eroico, gesta eroiche |
| hacker sostantivo | /hækəɹ/ | principiante |
| scanner sostantivo | /ˈskænə/ | lettore ottico, scanner |
| vulnerability sostantivo | /ˌvʌln(ə)ɹəˈbɪlɪti/ | vulnerabilità |
| token sostantivo | /ˈtoʊkən/ | simbolo, segno |
| autonomous aggettivo | /ɔˈtɑnəməs/ | autonomo, indipendente |
| stunt sostantivo | /stʌnt/ | acrobazia |
| bore verbo | /boɹ/ | annoiare, tediare |
| frontier sostantivo | /ˈfɹʌntɪə/ | confine, frontiera |
| teenager sostantivo | /ˈtiːnˌeɪ̯d͡ʒə/ | giovane, adolescente |
| authentication sostantivo | /ɔːˌθɛntɪˈkeɪʃn̩/ | autenticazione |
| automate verbo | /ˈɔ.təˌmeɪt/ | automaticizzare |
| compute verbo | /kəmˈpjuːt/ | computare, elaborare |
I phrasal verb che sentirai
| Parola | Pronuncia | Significato |
|---|---|---|
| carry out verbo | /ˈkæ.ɹi aʊt/ | compiere, realizzare |
| find out verbo | scoprire | |
| run over verbo | investire | |
| 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 |
|---|---|
| Forma passiva be + participio passato — conta ciò che accade, non chi lo fa | was sophisticated · was told · being asked |
| Present perfect have/has + participio passato — un’azione passata che conta ancora adesso | I've ever seen · hasn't decided · has been |
Pronuncia a cui fare attenzione
Chi parla usa 12 contrazioni e forme ridotte, come you're, didn't, can't. Pronunciale nella forma breve, così come le senti.
- I suoni “sh” e “zh”: credential /kɹɪˈdɛnʃəl/, authentication /ɔːˌθɛntɪˈkeɪʃn̩/, escalation /ˌɛs.kəˈleɪ.ʃən/, benchmark /ˈbɛn(t)ʃmɑːk/, cache /kæʃ/
- Parole lunghe — attenzione all’accento: vulnerability /ˌvʌln(ə)ɹəˈbɪlɪti/, autonomous /ɔˈtɑnəməs/, authentication /ɔːˌθɛntɪˈkeɪʃn̩/, cybersecurity /saɪbəsɪˈkjʊəɹɪtɪ/, dystopian /dɪsˈtoʊ.pi.ən/
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 sandbox, hug, exploit.
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.