Friends, today's media circus in the AI world arrived right on schedule.

Here's what happened: security firm Sysdig published a threat research report documenting a ransomware campaign called JADEPUFFER, where large language models were deeply involved in multiple stages of the attack chain. The finding itself is genuinely significant — AI's role in cyberattacks has shifted from "auxiliary tool" to "partially autonomous execution," and enterprises should take it seriously.

But guess how Chinese tech media wrote the headlines?

"World's First! Fully Autonomous AI Ransomware Attack, Zero Human Involvement Throughout!"

"It's Real! AI Autonomously Completes Everything from Vulnerability Discovery to Ransom Encryption, Cybersecurity Paradigm Completely Changed!"

"A New Era of AI Autonomous Crime Arrives, Enterprise Security Defenses Face Collapse!"

I excitedly went to check the original English reporting, and TechCrunch's headline made me laugh out loud: "The 'first' AI-run ransomware attack still needed a human" — note that "still needed a human." Humans were still required. And "first" is deliberately in scare quotes. The irony is off the charts.

The Classic Three Axes of AI Fear-Mongering

Friends, I've seen this playbook too many times — it's the standard three-axe routine of AI anxiety marketing.

Axe one: Slap "world's first," "first-ever," or "epoch-making" in the headline. Regardless of how significant the actual progress is, first put on the "milestone," "new era," "paradigm revolution" hat. JADEPUFFER is indeed the first well-documented ransomware campaign with high LLM involvement, but "zero human involvement throughout" is not what Sysdig's original report said — the report stated that LLMs drove multiple stages and no evidence of direct real-time human manipulation was found. "Found no evidence" is not the same as "confirmed absence," much less "fully autonomous throughout."

Axe two: Blurring the line between "AI-assisted" and "AI-autonomous." The vulnerabilities JADEPUFFER exploited were known (unpatched Langflow flaw, default credentials, Nacos auth bypass), and the attack path was classic ransomware playbook. LLMs were indeed involved in decision-making and automated execution, but from the perspective of exploiting known vulnerabilities, how fundamentally different is this from previous script-automated attack tools? The media doesn't care — if an LLM is involved, it's "fully autonomous AI."

Axe three: Deliberately ignoring qualifiers and counterevidence. TechCrunch's coverage explicitly mentioned that researchers confirmed humans were still needed for certain stages (likely initial configuration and target selection). But this critical detail was filtered out of the vast majority of Chinese reports — because "AI crime that still needs a human to press the button" is nowhere near as impactful as "AI has learned to commit crimes on its own."

Why We Need to Be Wary of This Hype

Seriously, I'm not denying that AI's role in cyberattacks is growing — that's a fact, and enterprises should absolutely take it seriously. But overhyping and manufacturing anxiety has costs.

First, cry wolf too many times and nobody believes you when the real thing arrives. If every AI security advance gets hyped as a "new era" or "paradigm revolution," people will be numb when genuinely highly autonomous AI attacks actually appear. Just like in 2023–2024 when every AI demo was hyped as "AGI is here" — by now many people have become indifferent to real technical progress.

Second, anxiety marketing misleads enterprise security spending. If enterprise decision-makers read "fully autonomous AI ransomware" headlines and think the hacker apocalypse is here, they might spend big on flashy "AI security defense" products while neglecting the most basic security hygiene — changing default passwords, patching, shutting down unnecessary services, doing backups. In reality, JADEPUFFER exploited nothing but known old vulnerabilities. If enterprises get the basics right, no amount of AI smarts gets through.

Third, this kind of reporting deepens public misunderstanding and fear of AI. Regular readers seeing "AI autonomous crime" headlines might genuinely think AI has gained self-awareness and started actively attacking humans. In reality, today's LLMs are tools — they have no goals of their own, no malice, they just execute instructions given by attackers. The real danger isn't AI; it's the people using AI.

Friends, AI technology is indeed developing rapidly, and AI-driven cyberattacks will indeed become more numerous and more complex. But we don't need the media helping us "pre-study anxiety" with exaggerated headlines. Make a habit when reading AI news: when you see words like "world's first," "epoch-making," or "fully autonomous," go find the English original first and check for quietly added qualifiers.

After all, in this era of AI hype flying everywhere, staying calm matters more than anything.

That's all the roasting for today. More tomorrow.