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Read the passage and mark the letter A, B, C or D on your answer sheet to indicate the best answer to each of the following questions from 3...

Đề bài

Read the passage and mark the letter A, B, C or D on your answer sheet to indicate the best answer to each of the following questions from 33 to 40.

        “Deepfakes” describe synthetic images or videos produced by deep learning, in which algorithms ingest vast examples and generate outputs with unsettling verisimilitude. As infants learn by trial and error, so do models that, once trained, can mimic patterns without “seeing” reality. The process is often concealed from laypeople, and yet the consequences – if such media were trusted uncritically – could be profound. Although the technology is frequently showcased as innovation, it has also been framed in the passive voice: harms are incurred, norms are unsettled, and trust is diluted.

        Unlike playful face-swap filters or clumsy photoshop hoaxes – typically benign, self-evident, and intended for amusement – high-grade deepfakes are dangerous precisely because they are hard to spot. The casual edits that once circulated as jokes could be laughed off; deepfakes, by contrast, may pass as authentic even to trained eyes. If the public confuses fabrication with documentary record, deliberation is corrupted, reputations are damaged, and accountability is displaced, whereas the tool that enables the fakery remains invisible to most observers.

        The stakes range from petty fraud to geopolitical chaos. Personalized clips can depict a relative begging for money, while counterfeit speeches by leaders might inflame unrest or catalyze war. When they proliferate across feeds, the velocity of misinformation outpaces the capacity for verification; by the time a correction is issued, the lie has already traveled. Should emergency systems be spoofed, officials could be forced into reactive postures, and citizens – misled by plausible footage – might act on fabricated cues.

        Vigilance is teachable, and detection is becoming algorithmic. AI systems can be trained to notice artifacts that humans typically miss, which could expose forgeries. Yet media literacy still matters: users should interrogate extraordinary claims, verify sources, and pause before sharing. If safeguards are adopted early, damage may be contained; if not, the asymmetry between forgers and fact-checkers will widen. Although deepfakes are not yet ubiquitous, their prevalence and polish are likely to increase, making prudent skepticism indispensable.

(Adapted from University of Virginia Information Security: “What the heck is a deepfake? Can you really believe what you see?”)

Question 33. Which of the following is NOT mentioned in paragraph 2 as a reason ordinary edits seem harmless?

A. They are designed mainly for amusement.

B. They are easy for viewers to spot as fake.

C. They typically appear as obvious, joking alterations.

D. They require expert authorization from platforms.

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Câu hỏi HOT cùng chủ đề

Tiếng Anh

Question 2. The word excludable in paragraph 2 mostly means ______. A. tightly controllable B. broad...

Đề bài

Question 2. The word excludable in paragraph 2 mostly means ______.

A.  tightly controllable                                        B. broadly permissive

C.  loosely supervised                                D. minimally regulated

Tiếng Anh

Question 3. Which of the following best summarises paragraph 1? A. Compute caps eliminate all compet...

Đề bài

Question 3. Which of the following best summarises paragraph 1?

A.  Compute caps eliminate all competitive pressures by restricting data access globally.

B.  Verification replaces intellectual-property law by mandating disclosure of model code.

C.  Frontier AI expansion mainly depends on public trust rather than technical governance.

D.  Verification that protects confidentiality can justify compute caps to reduce escalation.

Tiếng Anh

Question 4. What does compute-based reporting require from developers and providers? A. Providers mu...

Đề bài

Question 4. What does compute-based reporting require from developers and providers?

A.  Providers must publish proprietary model weights once training throughput exceeds thresholds.

B.  Developers pre-notify authorities; providers verify notification before provisioning large compute.

C.  Developers disclose training datasets in full; providers audit algorithmic source code line-by-line.

D.  Providers auction access; developers submit bids that determine caps for each training epoch.

Tiếng Anh

Question 5. What are hardware-enabled mechanisms intended to verify? A. Open-source licences only B....

Đề bài

Question 5. What are hardware-enabled mechanisms intended to verify?

A.  Open-source licences only                        B. Personnel background checks

C.  Selected training properties securely                D. Consumer end-use declarations

Tiếng Anh

Question 6. The phrase This concentration in paragraph 2 refers to ______. A. compute oligopoly B. s...

Đề bài

Question 6. The phrase This concentration in paragraph 2 refers to ______.

A.  compute oligopoly                                        B. safety protocols

C.  model weights                                        D. export controls

Tiếng Anh

Question 7. Which of the following best paraphrases the underlined sentence in paragraph 3? If verif...

Đề bài

Question 7. Which of the following best paraphrases the underlined sentence in paragraph 3?

If verification remains patchy and parochial, mutual suspicion will metastasize and erode restraint.

A.  Should attestation mechanisms exhibit fragmentation and narrow scope, confidence deficits compound systemically, progressively undermining voluntary compliance norms among rivals.

B.  If verification achieves international coordination, competitive pressures intensify paradoxically as transparency exposes asymmetries, prompting states to abandon collaborative restraint.

C.  When verification mandates exhaustive disclosure, adversaries demonstrate greater compliance because comprehensive transparency reduces ambiguity and enables precise trust-building.

D.  Provided verification remains fragmented nationally, inter-state tensions naturally attenuate because opacity enables face-saving ambiguity without triggering accountability pressures.

Tiếng Anh

Question 8. Which of the following can be inferred from the passage? A. Compute caps are unnecessary...

Đề bài

Question 8. Which of the following can be inferred from the passage?

A.  Compute caps are unnecessary once interpretability tools fully expose internal model mechanisms everywhere.

B.  Concentrated chip manufacturing and hyperscale provision make cooperation from fewer actors potentially sufficient.

C.  Confidential computing eliminates all risks associated with the transparency-security trade-off in perpetuity.

D.  Neutral data centres cannot contribute because they invariably compromise national security prerogatives.

Tiếng Anh

Question 9. Where in the passage does the following sentence best fit? These five properties make co...

Đề bài

Question 9. Where in the passage does the following sentence best fit?

These five properties make compute a natural chokepoint for tiered caps and enforceable disclosures.

A.  [I]                                B. [II]                        C. [III]                                D. [IV]

Tiếng Anh

Question 10. Which of the following best summarises the passage? A. Interpretability research alone...

Đề bài

Question 10. Which of the following best summarises the passage?

A.  Interpretability research alone can stabilise geopolitics; compute governance adds little practical value.

B.  Data provenance controls are superior to compute caps for every frontier-AI risk scenario.

C.  Compute-anchored verification – via reporting and hardware attestations – can operationalise calibrated caps despite real trade-offs.

D.  Export controls guarantee equitable access, making multilateral verification frameworks redundant worldwide.

 

Tiếng Anh

Read the passage and mark the letter A, B, C or D on your answer sheet to indicate the best answer t...

Đề bài

Read the passage and mark the letter A, B, C or D on your answer sheet to indicate the best answer to each of the following questions from 1 to 10.

        Frontier AI – highly capable, general-purpose systems – has catalysed calls for “compute caps,” tiered thresholds that condition or limit access to training resources. The impetus is prudential: if claims about development and use cannot be verified, rivalry may spiral into an arms-race dynamic. Here, verification means attesting to training properties, safety testing, and deployment footprints without divulging proprietary artefacts. [I] If routine, trusted attestation emerged, it could temper escalation, enable fairer diffusion of benefits, and normalise accountable practices across jurisdictions.

        Proponents argue that compute is a tractable intervention point. It is necessary (frontier training is compute-hungry), detectable (resource-intensive clusters), excludable (physical and licensable), quantifiable (operations, memory, interconnects), and concentrated (few firms control cutting-edge chips and hyperscale facilities). This concentration reduces the number of gatekeepers a verification regime must enlist. [II] On this view, compute caps operationalise verification: calibrated thresholds trigger disclosures, licences, or denials, aligning incentives for compliance while retaining room for research and small-scale experimentation.

        A complementary design is compute-based reporting: model developers pre-notify a public authority before large training runs; compute providers verify notification before provisioning; and cryptographic or hardware attestations log usage. If verification remains patchy and parochial, mutual suspicion will metastasize and erode restraint. [III] Hardware-enabled mechanisms (tamper-evident power/bandwidth monitors, enclave-based attestations) could verify properties of training or deployment without exposing model internals, creating auditable footprints that make caps enforceable and proportionate.

        Challenges persist. The transparency-security trade-off is acute: revealing locations or capacities may leak sensitive signals. Mitigations include confidential computing, multilateral audits to rule out backdoors, and neutral data centres jointly secured by rival parties. Retrofitted mechanisms can help in the near term; next-generation chips might embed verifiability by design. [IV] Meanwhile, adversaries could route around controls via alternative jurisdictions, so any cap-and-verify architecture must prioritise interoperability, supply-chain integrity, and credible, cross-border enforcement.

(Adapted from United Nations Secretary-General’s Scientific Advisory Board, “Verification of Frontier AI,” June 2025)

Question 1. According to paragraph 2, compute is deemed “excludable” because ______.

A.  licensing frameworks are universally harmonised across all major geopolitical blocs today

B.  software algorithms remain inherently opaque and thus cannot be independently audited

C.  its physical nature allows access to be restricted through hardware control and policy

D.  small developer collectives can always circumvent controls by pooling dispersed resources