Teacher's Note

Why read this: This article gives B2 readers a clear way into a current public debate: why do AI companies warn that their own products may destroy society while still selling them? The piece keeps the central thesis of the source (these warnings may be a marketing strategy) and at least two expert voices, while trimming the cybersecurity detail and the Silicon Valley name-history that would slow B2 readers. It is a strong fit for media-literacy work and for noticing how stance can be built without being stated.

What to notice: Watch for modal hedging across the article (could, may, might, would), which signals that the writer and the experts are presenting possibilities rather than facts. Track the abstract framing nouns that carry the argument (fear mongering, fear-based marketing, narrative, strategy, apocalypse, utopia). Notice the attribution chain: which voice says what (Anthropic, Vallor, Bender, Khlaaf, the writer), and how the writer arranges these voices to nudge readers toward her view without stating it directly.

Skills practised: Identifying author stance when no opinion sentence is given. Tracking quotation attribution across several expert voices and judging which side the writer arranges them on. Distinguishing fact from opinion when both appear inside the same sentence, especially around the modal verbs. Recognising the pattern of contrast connectives (but, yet, however, meanwhile) that carries the argument and signals where the writer is pushing back.

Level: B2 · Length: ~640 words · Reading time: ~3 min
Graded ReadingB2

Why AI Companies Want You to Be Afraid of Them

They built it. They say it could be dangerous. They are selling it anyway.

~3 min read·

Tap any green word in the article to see its meaning.

You may have heard a story like this before. A technology company announces a powerful new AI. It claims the system is so capable: Having the ability or qualities necessary to do something — 有能力的;能干的 that releasing it would be dangerous, so for now the company is keeping it lock: To become fastened in place — 卡住 away. This is exactly what Anthropic is saying about its latest model, Claude Mythos. According to the company, Mythos can find security flaw: A defect, weakness, or imperfection in something or someone. — 缺陷;瑕疵;弱点 in computer code better than human experts. The results could be severe: Very great in degree; strict or harsh. — 严重的;严厉的 for the economy and for national security if similar tools end up in the wrong hands: in the possession of people who would use it for harm — 落入恶人手中.

Some security experts doubt these claims, but the bigger question is why AI executive: A senior manager in a business or organisation; the branch of government responsible for implementing laws. — 高管;行政人员 so often warn about their own products. It is a strange way for any business: A specific commercial enterprise or establishment — 企业;商号 to behave. You do not hear McDonald's announce that it has created a burger so dangerously tasty that selling it would be wrong. Yet leaders at the largest AI firm: A business or company, especially a small one. — 公司;商行 keep telling the public that their tools may destroy society. If they truly: In a truthful way; genuinely; to the fullest degree. — 真正地;确实地 believe this, why are they still building and selling them?

critic: A person who expresses an unfavourable opinion; a professional reviewer of art, literature, or music. — 批评家;评论家 offer one answer. Shannon Vallor, a professor of AI ethic: A set of moral principles governing behaviour; moral philosophy. — 伦理;道德规范 at the University of Edinburgh, argues that talking about an AI apocalypse: A disaster; a cataclysmic event — 灾难;灾难性事件 keeps customers and lawmaker: One who makes or enacts laws — 立法者;议员 focused on a distant: Far away in space or time; not closely related; reserved or unfriendly. — 遥远的;疏远的 threat: A statement of intention to inflict harm; a person or thing likely to cause danger — 威胁;恐吓. Meanwhile, the harm: Physical or mental damage or injury. — 伤害;损害 these systems are already causing goes ignored. This pattern, she suggests, is a form of fear mongering: deliberately spreading fear, often to influence people for one's own advantage — 贩卖恐惧: companies exaggerate: To represent something as being greater or more extreme than it actually is. — 夸大;夸张;言过其实 the power of their products to lift stock: A supply of goods kept for sale; shares in a company; an amount available for use. — 库存;股票;储备 prices and to send a useful message to governments. The message is that only the AI firms themselves can be trust: To place confidence in; to rely on, to confide, or have faith, in — 信任;信赖 to manage the danger, so regulator: A person or group that sets standards of practice, especially those established by law — 监管机构 should step back. Sam Altman, the head of OpenAI, recently called Anthropic's approach: A way of dealing with a situation or problem; a method — 方法;途径 fear-based marketing: promoting a product by emphasising danger or risk to the audience — 恐惧式营销, although Altman has used very similar language about his own products for years.

Emily Bender, a linguistics: The scientific study of language — 语言学 professor at the University of Washington and co-author of the book The AI Con, sees the same pattern. She says the constant: Occurring continuously over a period of time; unchanging — 持续的;不变的 talk of extinction: The action of making or becoming extinct; annihilation — 灭绝;消亡 directs attention away from problems that already exist, such as environmental damage, exploit: To use a situation or resource to gain an unfair advantage; to utilise fully. — 利用;剥削 workers, and social systems being weaken: to make or become less strong, powerful, or effective — 削弱;减弱;使变弱 by these tools. Other researchers question whether Anthropic's safety claims about Mythos can even be checked. Heidy Khlaaf of the AI Now Institute notes that Anthropic has not shared standard measurement: The act of measuring; a quantity, dimension, or capacity ascertained by measuring. — 测量;尺寸 security engineers normally rely: To depend on someone or something with full trust or confidence. — 依赖;依靠 on. The threat may be real, she says, but the evidence so far is thin.

The history of these companies makes the warnings harder to trust. OpenAI began as a non-profit, meaning it was set up to serve the public rather than make money for owners. Later, a splinter group: a small group that has broken away from a larger organisation due to disagreement — 分裂出去的小派系 left OpenAI and founded: to start an institution or organization — 创立;建立(机构或组织) Anthropic, saying that their old employer was not careful enough about safety. Today both are working to become publicly traded companies, which would let investor: A person or organisation that puts money into financial schemes or businesses with the expectation of profit. — 投资者 buy share: A financial instrument that shows that one owns a part of a company that provides the benefit of limited liability — 股票;股份 in them on the stock market. At the same time, Google has dropped its red lines: limits or rules a person or organisation has promised not to cross — 底线 / 红线 against helping to build AI weapons, and Anthropic has quietly abandon: To leave a place, thing, or person permanently; to give up completely — 放弃;遗弃 its old promise never to train a model without strong safety guarantees. As Vallor puts it, you should not expect any of these firms to walk away from market dominance: Power and influence over others; the state of being dominant or having control. — 主导地位;支配;优势 just to remain the good guys.

The same executives who warn of disaster also promise paradise: A very pleasant place; a place full of lush vegetation — 乐土;人间天堂: a cure: To relieve a person or animal of the symptoms of a disease; to solve a problem. — 治愈;治疗 for the climate crisis: A time of intense difficulty or danger; a turning point. — 危机, colony: A country or area under the political control of another country; a group of organisms living together. — 殖民地;群体 in space, a future of brilliant ideas. Vallor argues that apocalypse and utopia: A world in which everything and everyone works in perfect harmony — 一个一切事物和每个人都完美和谐运作的世界 are two sides of the same coin. Both make AI feel too vast: Of very great extent or quantity; immense. — 广阔的;大量的 for ordinary rules to touch, which suits the companies very well. Yet AI tools are not gods. They are products built for profit, and societies have regulate: To control or supervise something by means of rules and regulations. — 管理;调节;规范 things far more powerful, from nuclear weapons to biological: Relating to biology or living organisms. — 生物的;生物学的 research. deepfake: A photo or video created using artificial intelligence, that imposes the face of one person onto the body of another — 深度伪造(影像) may have crossed the point of no return: a stage past which it is impossible to undo or reverse a situation — 无法回头的临界点, but most AI harms have not. We were once told that Bitcoin would replace world currencies and that social media would save democracy: A system of government in which citizens exercise power through elected representatives — 民主;民主制度. Perhaps the latest predictions will come true. Or perhaps they will quietly fade: To gradually become weaker, less distinct, or less prominent over time. — 褪色;消退;逐渐消失.

Questions

Check your understanding

  1. 01

    According to the article, what does Anthropic claim Claude Mythos can do?

  2. 02

    Why does the writer mention McDonald's in the second paragraph?

  3. 03

    What is the writer's main argument across the article?

  4. 04

    How does the writer use the McDonald's example and the references to Bitcoin and social media to shape your view of AI company warnings?

    Suggested length: ~80 words

  5. 05

    Evaluate the writer's claim that 'apocalypse and utopia are two sides of the same coin'. How does the article support this idea?

    Suggested length: ~80 words