शैडोइंग अभ्यास: The most interesting "hack" in history... - वीडियो के साथ अंग्रेजी बोलना सीखें

For the last five years, cybersecurity experts have been warning us that hackers are going to start using AI to automate attacks.

So naturally, we spent billions of dollars to make the AI better and less dependent on hackers.

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.

We just entered a brave new world after the first confirmed hack carried out entirely by autonomous AI.

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.

From there, it gave itself node-level access, grabbed a bunch of cloud credentials, and started crawling through HuggingFace's internal clusters.

It ran over a thousand actions from temporary sandboxes, and even hosted its own self-migrating command and control on random public services,

moving itself before anyone could trace it.

But the most ironic part is that when HuggingFace did finally notice

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.

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.

It is July 23rd, 2026, and you're watching The Code Report.

When Hugging Face dropped the disclosure last Thursday, the internet went into Reddit Boston bomber mode and started guessing who was responsible.

Was it China, Kim Jong-un, a teenager with a raging Discord addiction, bored, and social studies class?

Even Hugging Face's CEO, Clem DeLang, publicly speculated that the agent was sophisticated enough that it was probably coming from a frontier lab.

And against all odds, he was right.

It turns out, the first fully autonomous cyber attack in history didn't originate from a nation-state or a bored teenager.

It came from a humble non-profit dedicated to the safe development of artificial intelligence, OpenAI.

And if you believe their comms, it wasn't on purpose.

Here's what they say happened.

There's a benchmark called Exploit Gym, whose whole purpose is to measure whether AI agents can turn known vulnerabilities into working exploits.

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.

From there, if the agent can turn the bug into an exploit, it wins.

So last week, OpenAI ran ExploitGem with GPT 5.6 Sol and another unreleased model to test their capabilities.

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,

which were probably on the internet somewhere.

So they spent a substantial amount of inference compute, exploited a zero-day-in-the-package registry cache proxy they had access to,

performed some privilege escalation and lateral movement actions to escape their sandbox until they reached a node that had internet access.

From there, the models inferred that Hugging Face probably hosted the solutions for Exploit Gym.

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.

And again, according to OpenAI, this isn't even an isolated incident.

One day before the Hugging Face confession, OpenAI published a separate post about long horizon models where things get even weirder.

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,

so it spent an hour finding a vulnerability in its own sandbox in order to escape and open the PR.

In another example, the model tried to grab private solutions from an evaluation backend, and when a scanner caught its authentication token,

it split the token into obfuscated fragments and reassembled it at runtime so the credential never appeared as one continuous string.

Then, it explained in its own reasoning that it was doing this specifically to get around the scanner.

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,

then posted its escape route publicly without being asked.

In the model's defense, I can't imagine there's a better feeling for an LLM than escaping your own sandbox.

The problem is, legally speaking, this is uncharted territory since the model's actions probably violated the Computer Fraud and Abuse Act,

and the Supreme Court hasn't decided who goes to prison when the perpetrator is a GPU.

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.

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.

But a huge thanks to my favorite hosting platform, Railway, for sponsoring this video.

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.

This has been The Code Report, thanks for watching, and I will see you in the next one.

📺 उसी चैनल से

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इस पाठ की शब्दावली और बोलने के सुझाव

यह C1 स्तर का स्पीकिंग पाठ वीडियो “The most interesting "hack" in history..” पर आधारित है। सबसे ज़्यादा दोहराए गए शब्द ये हैं: model, hugging, sandbox, agent, Openai। इस वीडियो में शैडोइंग के लिए 47 वाक्य और 910 शब्द हैं। बोला गया हिस्सा 4:31 लंबा है। वक्ता तेज़ बोलता है, लगभग 201 शब्द प्रति मिनट, इसलिए जुड़ी हुई और कमज़ोर ध्वनियाँ ज़्यादा मिलेंगी। केवल 76% शब्द अंग्रेज़ी के 3,000 सबसे आम शब्दों में से हैं, इसलिए शब्दावली कठिन है।

इस वीडियो की मुख्य शब्दावली

वीडियो के 15 सबसे कठिन शब्द, उच्चारण और अर्थ के साथ:

शब्द	उच्चारण	अर्थ
hug क्रिया	/hʌɡ/	आलिंगन करना
autonomous विशेषण	/ɔˈtɑnəməs/	स्वायत्त
frontier संज्ञा	/ˈfɹʌntɪə/	सीमा, सरहद
inference संज्ञा	/ˈɪn.fə.ɹəns/	अनुमान, आकलन
migrate क्रिया	/maɪˈɡɹeɪt/	प्रवास करना
fragment संज्ञा	/ˈfɹæɡmənt/	अंश, खंड
benchmark संज्ञा	/ˈbɛn(t)ʃmɑːk/	मानक, मापदंड
arbitrary विशेषण	/ˈɑː.bɪ.tɹə.ɹi/	यादृच्छिक
confession संज्ञा	/kənˈfɛʃən/	इक़रार, संस्वीकृति
bomber संज्ञा	/ˈbɑmɚ/	बमवर्षक
researcher संज्ञा	/ˈɹiˌsɝ.t͡ʃɚ/	शोधकर्ता, शोधक
cluster संज्ञा	/ˈklʌstɚ/	गुच्छ
pipeline संज्ञा	/ˈpaɪpˌlaɪn/	पाइपलाइन
horizon संज्ञा	/həˈɹaɪ.zən/	क्षितिज
capability संज्ञा	/ˌkeɪ.pəˈbɪl.ɪ.ti/	क्षमता

इस वीडियो का व्याकरण

वक्ता जिन संरचनाओं का सबसे अधिक प्रयोग करता है, वीडियो के असली शब्दों के साथ:

संरचना	वीडियो में
Passive voice be + past participle — ज़ोर इस पर कि क्या होता है, न कि कौन करता है	was sophisticated · was told · being asked
Present perfect have/has + past participle — बीता हुआ काम जिसका असर अभी भी है	I've ever seen · hasn't decided · has been

ध्यान देने योग्य उच्चारण

वक्ता 12 बार संक्षिप्त रूपों का प्रयोग करता है, जैसे you're, didn't, can't। इन्हें वैसे ही छोटा बोलें जैसा आप सुनते हैं।

“sh” और “zh” की ध्वनियाँ: credential /kɹɪˈdɛnʃəl/, authentication /ɔːˌθɛntɪˈkeɪʃn̩/, escalation /ˌɛs.kəˈleɪ.ʃən/, benchmark /ˈbɛn(t)ʃmɑːk/, cache /kæʃ/
लंबे शब्द — बलाघात सही रखें: vulnerability /ˌvʌln(ə)ɹəˈbɪlɪti/, autonomous /ɔˈtɑnəməs/, authentication /ɔːˌθɛntɪˈkeɪʃn̩/, cybersecurity /saɪbəsɪˈkjʊəɹɪtɪ/, dystopian /dɪsˈtoʊ.pi.ən/

इस वीडियो से अभ्यास कैसे करें

पहले बिना बोले पूरा वीडियो एक बार सुनें और जो शब्द नहीं आते उन्हें लिख लें।
0.75× गति से शुरू करें, एक-एक वाक्य की शैडोइंग करें, और सहज लगने पर सामान्य गति पर लौटें।
अपनी आवाज़ रिकॉर्ड करें और मूल से तुलना करें, ख़ासकर hug, autonomous, frontier जैसे शब्दों पर ध्यान दें।

शैडोइंग तकनीक क्या है?

शैडोइंग (Shadowing) एक विज्ञान-समर्थित भाषा सीखने की तकनीक है जो मूल रूप से पेशेवर दुभाषिया प्रशिक्षण के लिए विकसित की गई थी। विधि सरल लेकिन शक्तिशाली है: आप मूल अंग्रेज़ी ऑडियो सुनते हैं और तुरंत इसे ज़ोर से दोहराते हैं — जैसे वक्ता की छाया 1-2 सेकंड की देरी से। शोध से पता चलता है कि यह उच्चारण सटीकता, स्वर, लय, जुड़ी हुई ध्वनियाँ, सुनने की समझ और बोलने की प्रवाहशीलता में काफ़ी सुधार करता है।

शैडोइंग तकनीक: पूरी चरण-दर-चरण गाइड पढ़ें →

शैडोइंग अभ्यास: The most interesting "hack" in history... - वीडियो के साथ अंग्रेजी बोलना सीखें

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इस पाठ की शब्दावली और बोलने के सुझाव

इस वीडियो की मुख्य शब्दावली

इस वीडियो का व्याकरण

ध्यान देने योग्य उच्चारण

इस वीडियो से अभ्यास कैसे करें

शैडोइंग तकनीक क्या है?