{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-07-23T06:40:50.084Z","headline":"AI语音诈骗：退休老人因合成女儿哭声被骗1.5万美元","description":"2025年夏季，美国佛罗里达州一名退休老人接到\"女儿\"哭诉车祸需保释金的电话，一小时内取现1.5万美元交给冒充法院的快递员--实际上，哭声是从一段音频片段合成的AI语音。FBI 2026年4月报告首次将AI欺诈列为独立类别，2025年收到超2.2万起AI相关投诉，调整后损失超8.93亿美元，其中60岁以上受害者占3.52亿美元。","url":"https://www.aioga.com/news/cmrmbtk3z0002bivco9advwbd/","mainEntityOfPage":"https://www.aioga.com/news/cmrmbtk3z0002bivco9advwbd/","datePublished":"2026-07-15T16:25:19.955Z","dateModified":"2026-07-15T16:25:19.955Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://smarterarticles.co.uk/the-three-second-theft-why-ai-voice-fraud-outruns-every-defence","https://aihot.virxact.com/items/cmrmbtk3z0002bivco9advwbd"],"canonicalUrl":"https://www.aioga.com/news/cmrmbtk3z0002bivco9advwbd/","directAnswer":{"@type":"Answer","text":"材料称，佛罗里达州退休老人莎伦·布赖特韦尔接到合成其女儿哭声的诈骗电话，在对方虚构车祸、保释金和保密要求后，于一小时内取出1.5万美元并交给冒充法院关联人员的快递员。","url":"https://www.aioga.com/news/cmrmbtk3z0002bivco9advwbd/","dateCreated":"2026-07-15T16:25:19.955Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"smarterarticles.co.uk source article","url":"https://smarterarticles.co.uk/the-three-second-theft-why-ai-voice-fraud-outruns-every-defence","datePublished":"2026-07-15T16:25:19.955Z","provider":{"@type":"Organization","name":"smarterarticles.co.uk","url":"https://smarterarticles.co.uk/the-three-second-theft-why-ai-voice-fraud-outruns-every-defence"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cmrmbtk3z0002bivco9advwbd","datePublished":"2026-07-15T16:25:19.955Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cmrmbtk3z0002bivco9advwbd"}}],"aggregationSource":"Hacker News 热门（buzzing.cc 中文翻译）","originalPublisher":{"name":"smarterarticles.co.uk","url":"https://smarterarticles.co.uk/the-three-second-theft-why-ai-voice-fraud-outruns-every-defence"},"article":{"id":"cmrmbtk3z0002bivco9advwbd","slug":"cmrmbtk3z0002bivco9advwbd","url":"https://www.aioga.com/news/cmrmbtk3z0002bivco9advwbd/","title":"AI语音诈骗：退休老人因合成女儿哭声被骗1.5万美元","title_en":"《三秒盗窃：为何人工智能语音诈骗总能突破所有防线》","summary":"2025年夏季，美国佛罗里达州一名退休老人接到\"女儿\"哭诉车祸需保释金的电话，一小时内取现1.5万美元交给冒充法院的快递员--实际上，哭声是从一段音频片段合成的AI语音。FBI 2026年4月报告首次将AI欺诈列为独立类别，2025年收到超2.2万起AI相关投诉，调整后损失超8.93亿美元，其中60岁以上受害者占3.52亿美元。","source":"Hacker News 热门（buzzing.cc 中文翻译）","sourceUrl":"https://smarterarticles.co.uk/the-three-second-theft-why-ai-voice-fraud-outruns-every-defence","aiHotUrl":"https://aihot.virxact.com/items/cmrmbtk3z0002bivco9advwbd","publishedAt":"2026-07-15T16:25:19.955Z","category":"技巧观点","score":72,"selected":true,"articleBody":["Sharon Brightwell heard her daughter crying down the line, and that was the end of any defence she might have mounted. The voice belonged to April, or so every instinct insisted: the same timbre, the same broken rhythm of a young woman in distress. The voice said she had been texting while driving, that she had hit a pregnant woman, that her phone had been seized by police. A man then took over the call, identifying himself as April's attorney, and explained that bail would cost fifteen thousand dollars in cash. He warned Brightwell not to tell the bank what the money was for, because it might damage her daughter's credit. Within the hour, the retiree from Dover, Florida had withdrawn the money and handed it to a courier she believed was connected to the courts. Only when she reached the real April, who had spent the morning at work and never been near a car accident, did she understand that her daughter had not made the call. No human had. The crying had been synthesised from a fragment of audio, and the daughter she thought she was rescuing existed only as a pattern of numbers in someone else's machine.","Brightwell's loss, reported across American local news in the summer of 2025, is now one of the most ordinary crimes in the United States. It is also one of the most technically advanced. The collision of those two facts — that a fraud requiring the absolute frontier of machine learning can be perpetrated against an ordinary grandmother in her kitchen, at scale, for the price of nothing — is the defining feature of a problem that law enforcement, banks, telecoms companies and regulators have spent two years failing to contain. The question is no longer whether the technology works. It works appallingly well. The question is what meaningful protection requires when the gap between the sophistication of the attack and the awareness of the target is measured not in months but in years.","In April 2026, the FBI's Internet Crime Complaint Center published its annual report on the previous year's online crime, and for the first time in the report's twenty-six-year history it broke out artificial-intelligence-enabled fraud as a distinct category. The numbers were stark. The bureau logged more than 22,000 complaints with an AI nexus and adjusted losses exceeding 893 million dollars. Of that sum, the report attributed 352 million dollars in losses to victims aged sixty and over, making older adults the single most heavily targeted demographic in AI-enabled financial crime. The AI figure sat inside a far larger total: cybercrime losses across the United States rose 26 per cent in a single year to 20.9 billion dollars, with Americans aged sixty and older accounting for 7.7 billion of that — a roughly 60 per cent jump on the previous year.","The FBI was candid that even these figures understate the problem. AI attribution in the report reflects only what victims recognised and reported, and most victims of a cloned-voice call never learn that a machine was involved at all. They believe, as Sharon Brightwell initially believed, that they spoke to their own child. The 893 million dollars is therefore best read as a floor, not a ceiling — the visible portion of a category that is, by its nature, designed to remain invisible to the people it harms. That the FBI felt compelled to create the category at all is itself a signal. Crime statistics are conservative instruments; agencies do not redraw twenty-six-year-old reporting taxonomies for a passing fashion. The new line in the ledger is an admission that a tool which barely existed in consumer form three years ago has become a mainstream instrument of theft.","Internationally, the picture is larger and worsening. In March 2026, INTERPOL published the second edition of its Global Financial Fraud Threat Assessment, estimating worldwide losses to financial fraud at 442 billion dollars in 2025 — a sum comparable to the entire annual economic output of Denmark. The organisation rated the threat trajectory as escalating and described what it called the “industrialisation of fraud”: the migration of scamming from opportunistic individuals to organised, transnational operations that intersect with human trafficking and cybercrime. Crucially, INTERPOL found that AI-enhanced fraud is roughly four and a half times more profitable than its traditional equivalent, and that so-called agentic AI systems can now autonomously plan and execute entire fraud campaigns, from reconnaissance through to the ransom demand. The economics, in other words, have inverted. For the first time, deception at industrial scale costs almost nothing to manufacture and returns a fortune.","The technical capability at the centre of the grandparent scam is brutally simple to describe. A modern AI voice-cloning system requires as little as three seconds of audio to produce a synthetic voice that is, for practical purposes, indistinguishable from the original. Three seconds is the length of a voicemail greeting, a snatch of a podcast, the audio under a birthday video posted to a public Instagram account. The raw material is not stolen from a secure database; it is volunteered, every day, by the ordinary act of living a recorded life. A grandchild who appears in a single TikTok clip has supplied everything a fraudster needs to manufacture their own kidnapping.","What makes the threat acute is not merely that the cloning works but that the tools to do it are cheap, abundant and almost entirely unpoliced. In March 2025, Consumer Reports assessed the voice-cloning products of six companies — Descript, ElevenLabs, Lovo, PlayHT, Resemble AI and Speechify — and concluded that a majority lacked any meaningful safeguard against fraud or misuse. Four of the products, the organisation found, required only that a user tick a box affirming they had the legal right to clone the voice in question. None of those four employed any technical mechanism to confirm that the speaker had actually consented, or to restrict cloning to the user's own voice. Four of the six companies required nothing more than a name or an email address to open an account. The investigation's blunt conclusion, amplified by NBC News and The Register, was that the industry had built a tool capable of impersonating anyone and then placed it behind a self-attestation checkbox.","ElevenLabs, one of the most prominent providers, points to a multi-layered safety programme: a prohibited-use policy that bans impersonation, a public AI speech classifier that can identify audio likely to have originated from its system, traceability that links generated content back to the account that produced it, and “no-go voices” safeguards that block the cloning of certain protected figures around election cycles. These are not trivial measures, and they are more than several competitors offer. But they share a structural weakness: almost all of them operate after the fact. They help investigators establish provenance once a fraud has already occurred and a victim has already lost their savings. They do very little to prevent the three-second clone from being generated in the first place, because the thing that would prevent it — robust, mandatory verification that the person being cloned has consented — is precisely the friction that a competitive, fast-moving market is reluctant to impose on itself. When a safeguard costs a company conversions and protects only the customers of its rivals, the market will not supply it voluntarily. It has not.","If there is a single moment that captures why detection-based defences are failing, it arrived in a New York Times profile published in June 2026. Its subject was Hany Farid, the University of California, Berkeley professor who is, by broad consensus, the world's foremost authority on deepfake forensics. For more than two decades Farid had built a career on the ability to separate the real from the synthetic, fielding requests from governments, human-rights organisations, journalists and law enforcement. Lately, the Times reported, he had begun failing his own tests. “I feel like I'm going blind,” he said. The man best equipped on Earth to distinguish a genuine recording from an AI-generated one could no longer reliably do so.","That admission ought to end a certain kind of conversation. For years, the implicit promise of the response to synthetic media has been that detection would keep pace with generation — that for every more convincing fake, there would be a more sensitive detector, and that the arms race, though uncomfortable, was at least winnable. Farid's confession is evidence that, in the audio domain at least, the race has been lost. When the foremost detector in the field is reduced to a coin-toss, the strategy of catching fakes after they have been made and circulated is not a strategy at all. It is a hope. And a fraud that depends on twenty minutes of panic does not give a victim, or their bank, twenty minutes to run a forensic analysis that even Hany Farid would no longer trust.","This is the first and most important thing that meaningful protection requires us to accept: detection cannot be the load-bearing defence. A grandmother on the phone with a sobbing voice cannot be expected to perform forensic analysis that the discipline's leading expert has effectively abandoned. Any plan that ultimately rests on the target, or anyone else, being able to tell the difference between a real voice and a cloned one is already obsolete. The implication runs deeper than telephone fraud. If the world's authority on detecting synthetic audio cannot trust his own judgement, then every downstream system that quietly assumes a human can serve as a fallback verifier — the bank teller who is told to “use discretion,” the relative urged to “listen carefully for anything off” — rests on a foundation that has already crumbled.","It is tempting, and wrong, to attribute the targeting of older adults to naivety. The brief that prompts this article identifies a more uncomfortable truth: the characteristics that make older people disproportionately vulnerable are not deficiencies of intelligence but features of a life well lived. They tend to hold higher average savings balances, the accumulated product of decades of work, which makes them efficient targets — a single successful call can yield far more than one aimed at a younger person. They were raised in, and still operate within, established patterns of trust-based communication, in which a phone call from a distressed relative is answered as a genuine emergency rather than interrogated as a potential attack. They are, through no fault of their own, relatively unfamiliar with the existence of AI voice synthesis, having spent most of their lives in a world where a voice on the line was definitionally a person on the line. And they are exposed, like every parent and grandparent, to the particular emotional architecture of the family-emergency scenario, in which the instinct to protect a child overrides every slower, more sceptical faculty.","Academic research has begun to formalise this. An arXiv paper published in June 2026 noted plainly that “older adults remain disproportionately vulnerable to AI-enhanced scams.” A separate study from a team led by Yixin Zou, also published in early 2026, examined fraud interventions designed specifically for older adults amid escalating AI sophistication, developing a role-based simulation tool called ROLESafe that improved participants' ability to identify fraud when they learned by playing the part of victim or helper rather than passive observer. And a third paper, from researchers at the firm Charm Security, proposed a Human Vulnerabilities and Exploits Framework — a structured catalogue, modelled on the software-security world's vulnerability databases, for classifying the cognitive and social mechanisms that fraud systems exploit. The framework's premise is itself a quiet indictment: the security industry has spent decades cataloguing and patching the weaknesses of machines while leaving the weaknesses of people undocumented and unmanaged. The grandparent scam succeeds because it attacks the one part of the system for which no patch has ever been written.","This is why awareness campaigns aimed at older adults, while necessary, cannot be sufficient. The emotional mechanism the scam exploits is not a gap in knowledge that a leaflet can fill; it is the love a person has for their grandchild, weaponised. You can tell someone a hundred times that voices can be faked, and in the moment a cloned voice screams for help, the knowledge will not arrive in time. The AFP wire story carried by The Straits Times and the Manila Times in June 2026 quoted Amit Gupta of the voice-security firm Pindrop putting the matter precisely: “The objective is not perfect voice replication. The objective is creating enough emotional uncertainty and urgency that the victim acts before verifying.” A defence built around the assumption that victims will verify is a defence built against the very weakness the attack is engineered to bypass.","The most chilling testimony in that wire story came not from an elderly victim but from a lawyer. Gary Schildhorn, a Philadelphia attorney who was himself targeted by a cloned-voice scam, said that even with hindsight and professional scepticism he could not shake the certainty of what he had heard: “I will go to my grave swearing that it was your voice.” That sentence ought to be read by anyone tempted to believe that vigilance is the answer. Schildhorn is a trained advocate, paid to interrogate evidence and disbelieve plausible stories, and the clone defeated him as completely as it defeated a panicked grandmother. The vulnerability the fraud exploits is not located only in the elderly, or the credulous, or the technologically illiterate. It is located in the human auditory system itself, which evolved over millennia to treat a recognised voice as proof of a recognised person — and which is now, for the first time in that long history, systematically and exploitably wrong.","The data on older adults reinforces rather than contradicts this reframing. The FTC's December 2025 report to Congress found that total fraud losses reported by people aged sixty and over had roughly quadrupled between 2020 and 2024, reaching about 2.4 billion dollars, with 68 per cent of that sum attributable to individual losses of 100,000 dollars or more. The agency's own estimate of the true annual cost, accounting for the chronic underreporting that shame and embarrassment guarantee, ranged as high as 81.5 billion dollars. These are not the numbers of a credulous minority being separated from pocket money. They are the numbers of a generation's accumulated savings being drained through a mechanism specifically calibrated to their patterns of trust, their financial position and their place at the emotional centre of a family.","Brian Long, the chief executive of the security firm Adaptive Security, distilled the new economics for AFP in a single sentence: “One guy in a room with a keyboard can make an infinite number of attackers.” That is the asymmetry in its purest form. On one side stands an automated system that can generate a convincing clone in seconds, dial thousands of numbers, and conduct each conversation with synthesised emotion, for a marginal cost approaching zero. On the other stands an individual human being, often elderly, alone, and given roughly the length of a panicked phone call to mount a defence that the world's leading forensic scientist could not.","The most widely circulated piece of advice, repeated by the FBI, the American Bankers Association and consumer advocates throughout 2026, is to agree a family “safe word” — a secret phrase known only to relatives, to be demanded in any emergency call. If the voice cannot produce it, hang up and call back on a known number. The advice is sound. It is also, as a systemic defence, hopelessly inadequate, and it is worth being clear about why.","A safe word works only if every member of a family adopts it, remembers it, and has the presence of mind to demand it in a moment engineered to obliterate presence of mind. It places the entire burden of defeating an industrial, automated, billion-dollar criminal apparatus on the cognitive discipline of a frightened individual at the worst moment of their week. It assumes that the eighty-year-old whose median reported loss, according to FTC data released in late 2025, exceeds 1,600 dollars will, while hearing her grandchild scream, calmly recall a protocol and execute it. Some will. Many, by design, will not. A defence that works only when the target performs flawlessly under maximum stress is not a defence; it is a way of allocating blame to the victim after the fact.","This is the deeper objection to placing protection in the hands of families and individuals. It transfers responsibility for a failure of the technological and financial system onto the people least equipped to bear it, and then, when they fail, treats their failure as a personal one. The voice-cloning tools were built and sold by companies. The calls are carried by telecommunications networks. The money moves through banks. Each of those parties operates at the chokepoints where the fraud could actually be interdicted at scale. The grandmother in her kitchen does not. Meaningful protection requires moving the burden from the end of the chain, where it currently sits, to the points in the middle where it belongs. A society that responds to an industrialised threat by issuing better advice to its most vulnerable members has confused the publication of guidance with the provision of protection.","Consider the three institutional chokepoints in turn, because each illustrates both the promise and the present failure of structural defence.","The third chokepoint — and the most promising — is the bank. This is where the money actually moves, and therefore where interdiction has the greatest mechanical leverage. The United Kingdom offers the clearest natural experiment. In October 2024, the Payment Systems Regulator made reimbursement for authorised push payment fraud mandatory: where a victim is tricked into authorising a transfer to a fraudster, the sending and receiving banks must now reimburse them, splitting the liability fifty-fifty, up to 85,000 pounds, within five business days, with the consumer-negligence exception explicitly barred for vulnerable customers. Confirmation of Payee, the account-name-checking service, now runs on billions of transactions. The PSR's own dashboard showed that in the fifteen months to the end of December 2025, 89 per cent of money lost to such scams — some 243 million pounds — was reimbursed, against a 65 per cent rate before the rules took effect.","Pull these threads together and a coherent picture emerges of what would actually work, as distinct from what merely sounds reassuring.","It requires, first, abandoning detection as the primary line of defence. Hany Farid's blindness is not a temporary setback to be solved by a better classifier; it is a permanent structural condition of a world in which generation has outrun discrimination. Any plan whose final safeguard is someone, somewhere, telling the real from the fake has already failed.","It requires, second, regulating the supply of the weapon. The Consumer Reports finding that voice-cloning tools sit behind a self-attestation checkbox is a policy choice, not a law of nature. Mandatory, verifiable consent before a voice can be cloned — of the kind Descript and Resemble AI have partially implemented and the others have not — is technically feasible and would not abolish the legitimate uses of the technology. The European Union's AI Act, whose obligations for general-purpose models began applying through 2025 and 2026, and state statutes such as Tennessee's ELVIS Act, which requires written consent to clone a voice, are early gestures towards treating voice synthesis as the regulated capability it has become. They remain far ahead of enforcement and far behind the threat.","It requires, third, placing the burden of interdiction on the institutions that occupy the chokepoints — and, where they will not act voluntarily, compelling them through liability. The British reimbursement regime is imperfect and incomplete, but it demonstrates the mechanism: when banks own the loss, banks build the friction. Telecoms carriers that profit from carrying calls should bear a corresponding duty to authenticate and, where possible, flag them. Platforms that sell cloning should bear a duty to verify consent. The common principle is that responsibility ought to sit with the party that has both the capability to prevent the harm and the commercial benefit from the activity that causes it — which, in every case, is an institution, and in no case is an eighty-year-old answering her phone.","It requires, fourth, treating the human vulnerability as a thing to be managed rather than a thing to be blamed. The Charm Security framework's insight — that the cognitive and emotional mechanisms exploited by fraud deserve the same systematic cataloguing as software flaws — should inform how banks design their interventions, how carriers design their warnings, and how public bodies design education that goes beyond leaflets to the kind of role-based rehearsal that the ROLESafe research found actually changes behaviour. Awareness campaigns and family safe words are not worthless. They are simply the last and weakest line, useful only as a backstop to structural defences that do the real work.","The deepest reason the defensive gap is measured in years rather than months is that the attack is a technology problem and the defence is an institutional one. Cloning a voice takes three seconds and improves monthly. Passing a reimbursement regulation, rewiring a banking system's fraud controls, mandating consent verification across an industry, and closing the non-IP loophole in a national telephone network take years, because they require law, coordination, money and the overcoming of every commercial interest that profits from the status quo. The asymmetry is not merely technical; it is the asymmetry between how fast a machine can be built and how slowly a society can respond.","Sharon Brightwell got some of her money back, eventually, through the diligence of investigators and her bank. Many do not. The 352 million dollars the FBI attributes to older victims of AI fraud, and the far larger sum it cannot see, represent a transfer of wealth from the people who can least afford to lose it to the most efficient criminal enterprise yet devised. Closing the gap will not come from teaching grandmothers to doubt the sound of their grandchildren's voices. It will come from deciding, as a matter of law and engineering, that the institutions standing between the clone and the cash are responsible for what passes through their hands. Until that decision is made, the three-second theft will remain the easiest serious crime in the world to commit, and the hardest for its victims to be believed about — because the evidence, by design, sounds exactly like someone they love.","Tim Green UK-based Systems Theorist & Independent Technology Writer","Tim explores the intersections of artificial intelligence, decentralised cognition, and posthuman ethics. His work, published at smarterarticles.co.uk：https://smarterarticles.co.uk, challenges dominant narratives of technological progress while proposing interdisciplinary frameworks for collective intelligence and digital stewardship.","His writing has been featured on Ground News and shared by independent researchers across both academic and technological communities.","ORCID: 0009-0002-0156-9795：https://orcid.org/0009-0002-0156-9795 Email: tim@smarterarticles.co.uk：mailto:tim@smarterarticles.co.uk","Listen to the free weekly SmarterArticles Podcast：https://www.smarterarticles.fm","Discuss...：https://remark.as/p/smarterarticles.co.uk/the-three-second-theft-why-ai-voice-fraud-outruns-every-defence","published with write.as：https://write.as/"],"articleImages":[{"sourceUrl":"https://i.snap.as/IJsCIeqg.png","alt":"","afterParagraph":0,"url":"/media/articles/cmrmbtk3z0002bivco9advwbd/95a0af6efe2a46a0.png"},{"sourceUrl":"https://profile.smarterarticles.co.uk/tim_100.png","alt":"Tim Green","afterParagraph":28,"url":"/media/articles/cmrmbtk3z0002bivco9advwbd/38fdc3e963efde0e.png"}],"mediaStatus":"ok","articleBodyZh":["莎伦·布赖特韦尔听到电话那端女儿的哭声，那一刻结束了她可能采取的任何防御。每一种本能都在告诉她，那声音属于艾普丽尔：相同的声调，相同的年轻女性痛苦不安的断裂节奏。声音说她在开车时发短信，撞到了一名孕妇，手机已被警方查封。随后，一个男人接管了电话，自称是艾普丽尔的律师，并解释说保释金需要现金一万五千美元。他警告布赖特韦尔不要告诉银行钱的用途，因为这可能会损害她女儿的信用。在一个小时内，这位来自佛罗里达州多佛的退休老人取出了钱，并交给了她认为与法院有关的快递员。直到她找到了真实的艾普丽尔——整上午都在上班，从未接近过车祸——她才明白女儿没有打过这个电话。没有任何人打过。哭声是从一段音频片段合成的，而她以为自己在救援的女儿，只存在于别人机器中的数字模式中。","2025年夏天，美国地方新闻报道了布赖特韦尔的损失，如今已成为美国最普通的犯罪之一。这也是技术上最先进的犯罪之一。这两个事实的碰撞——需要机器学习的绝对前沿技术才能实施的诈骗，可以针对普通奶奶在她的厨房里大规模发动，成本几乎为零——构成了执法部门、银行、电信公司和监管机构两年来无法控制的问题的核心特征。问题不再是技术是否有效。它令人震惊地非常有效。问题是，当攻击的复杂程度与目标的认知之间的差距以年，而非月为单位衡量时，真正具有意义的保护需要什么。","2026年4月，联邦调查局（FBI）的互联网犯罪投诉中心发布了上一年的网络犯罪年度报告，这是该报告26年历史上首次将人工智能相关的诈骗作为一个独立类别进行统计。数字令人震惊。局方记录了超过22,000起涉及人工智能的投诉，调整后的损失总额超过8.93亿美元。在这笔损失中，报告将3.52亿美元归因于60岁及以上的受害者，使老年人成为人工智能金融犯罪中最主要的目标群体。人工智能相关数额仅是更大总额的一部分：美国全国的网络犯罪损失在一年内增加了26%，达到209亿美元，60岁及以上的美国人占其中的77亿美元——比上一年大约增长了60%。","FBI坦言，即便是这些数字也低估了问题。报告中的人工智能归因仅反映了受害者认识到并报告的情况，而大多数被克隆语音电话欺骗的受害者根本不会意识到机器的参与。他们会像Sharon Brightwell最初相信的那样，以为自己在与自己的孩子通话。因此，8.93亿美元应被视为下限而非上限——这是一个本质上设计为对受害者隐形的类别的可见部分。FBI迫于形势而必须创建这个类别，这本身就是一个信号。犯罪统计数据是保守的工具；机构不会因为一时时尚而重新绘制一个有26年历史的报告分类系统。账目中新增加的这一行，实际上承认了一种三年前在消费领域几乎不存在的工具，如今已经成为主流盗窃手段。","在国际上，形势更大且恶化。2026年3月，国际刑警组织发布了第二版全球金融欺诈威胁评估报告，估计2025年全球因金融欺诈造成的损失达4420亿美元——这一数字相当于丹麦全年经济总产出的总和。该组织将威胁趋势评定为上升，并描述了所谓的“欺诈工业化”：欺诈从机会主义个人行为转向与人口贩运和网络犯罪交汇的有组织的跨国行动。关键的是，国际刑警组织发现，借助人工智能的欺诈比传统欺诈的盈利大约高四倍半，并且所谓的自主型人工智能系统现在可以自主策划和执行整个欺诈行动，从侦查到赎金要求。换句话说，其经济学已发生逆转。工业规模的欺骗首次几乎零成本制造，却能带来巨额回报。","贯穿祖孙骗术的核心技术能力描述起来极其简单。现代人工智能语音克隆系统只需三秒的音频，就能生成在实际使用中几乎无法与原声区分的合成语音。三秒的长度可能是一段语音邮箱问候、一小段播客音频，或发布在公开Instagram账号上的生日视频音频。原始材料并非从安全数据库中被窃取，而是每天通过普通的记录生活行为自愿提供。一个出现在单个TikTok视频中的孙子孙女，就为骗子提供了制造自己绑架骗局所需要的一切。","威胁之所以急迫，不仅仅是因为克隆技术可行，还因为实现它的工具廉价、丰富且几乎完全没有监管。2025年3月，《消费者报告》评估了六家公司的语音克隆产品——Descript、ElevenLabs、Lovo、PlayHT、Resemble AI 和 Speechify——并得出结论称，绝大多数产品缺乏任何有效的防止欺诈或滥用的保护措施。该机构发现，其中四款产品仅要求用户勾选一个方框，确认他们有合法权利克隆所涉及的语音。这四款产品中没有任何一款使用任何技术手段来确认发声者确已同意，或限制克隆仅用于用户自己的声音。六家公司中有四家仅需用户名或电子邮件地址即可开设账户。调查的直白结论，由NBC新闻和《注册报》放大报道，是该行业已经研发出一种能够模仿任何人的工具，而且只需用户自我声明勾选一个复选框即可使用。","ElevenLabs，作为最知名的服务商之一，提出了多层次的安全计划：禁止滥用政策禁止冒用身份、公开的AI语音分类器可以识别可能由其系统生成的音频、可追溯性将生成内容链接回产生该内容的账户、以及“禁用语音”保护措施，在选举周期内阻止克隆某些受保护的公众人物的声音。这些措施并非小事，并且比一些竞争对手提供的更多。但它们存在结构性弱点：几乎所有措施都是事后操作。它们帮助调查人员在欺诈已经发生、受害者已经失去储蓄后，确定来源。它们对防止三秒钟的克隆在一开始被生成几乎没有作用，因为阻止克隆发生的关键——被克隆者已明确同意的强制性、稳健的验证——恰恰是一个竞争激烈、快速发展的市场不愿意强加给自己的摩擦。当一项保护措施只会导致公司失去转换率，却只能保护竞争对手的客户时，市场不会自愿提供。事实也是如此。","如果有一个瞬间能够说明基于检测的防御为什么会失败，那么它就是出现在2026年6月《纽约时报》的一篇专题报道中。报道的主角是哈尼·法里德（Hany Farid），加州大学伯克利分校的教授，他被广泛认为是全球深度伪造取证领域的首席权威。二十多年来，法里德一直以区分真实与合成内容的能力建立了自己的职业生涯，接受过政府、人权组织、记者和执法部门的请求。最近，《纽约时报》报道说，他开始在自己的测试中失败。“我感觉自己快看不见了，”他说。地球上最有能力区分真实录音和AI生成内容的人已经无法可靠地区分了。","这个承认本应终结某种类型的讨论。多年来，对合成媒体的应对隐含承诺一直是检测能够跟上生成的步伐——即每出现一个更具说服力的伪造，就会有一个更敏感的检测器，而这场军备竞赛虽然令人不适，但至少是可赢的。法里德的坦白证明，至少在音频领域，这场竞赛已经失败。当该领域最顶尖的检测者也只能依靠抛硬币做判断时，那种在伪造生成和传播后才去捕捉的策略根本不算策略。它只是一种希望。而一种依赖二十分钟恐慌的欺诈行为，不会给受害者或其银行二十分钟时间进行即使是哈尼·法里德也不再信任的取证分析。","这是有意义的保护要求我们首先接受的最重要的一点：检测不能成为承重防御。一位正在电话中听到哭泣声音的祖母，不可能被期望进行该学科领先专家已经有效放弃的取证分析。任何最终依赖目标个体或其他人能够区分真实声音与克隆声音的计划，已经过时。这一含义不仅限于电话诈骗。如果全球音频合成检测权威都无法信任自己的判断，那么每一个默默假设人类可以充当备用验证者的下游系统——银行柜员被告知“自行斟酌”，亲属被敦促“仔细听是否有异常”——都建立在一个已经崩塌的基础上。","将针对老年人的行为归因于天真是诱人但错误的。本文章所依据的简介指出了一个更令人不舒服的事实：使老年人特别容易受到攻击的特征并不是智力缺陷，而是经过充实生活之后的特征。他们通常拥有较高的平均储蓄余额，这是几十年劳动积累的结果，这使他们成为高效的目标——一次成功的电话可能带来的收益远超过针对年轻人的一次尝试。他们是在既定的信任型交流模式中成长，并且仍在其中运作的，这种模式下，对焦虑亲友的电话，会被视为真实的紧急情况而非潜在的攻击来盘问。他们由于自身原因并不熟悉AI语音合成的存在，毕生生活在一个电话里的声音就是电话那端真实人的世界中。同时，他们也像每个父母和祖父母一样，会暴露在家庭紧急情况的特定情感架构中，在这种情况下，保护子女的本能会盖过所有较慢、更怀疑的判断。","学术研究已经开始将这一现象形式化。2026年6月发表在arXiv上的一篇论文直接指出，“老年人仍然在AI增强的诈骗中处于不成比例的脆弱状态。”另一项由邹益新领导的团队在2026年初发表的研究，针对在日益复杂的AI环境下专门为老年人设计的欺诈干预措施，开发了一种基于角色的模拟工具ROLESafe，该工具通过让参与者扮演受害者或帮助者而非被动观察者，从而提高了他们识别欺诈的能力。第三篇论文来自Charm Security公司的研究人员，他们提出了一个“人类脆弱性与利用框架”——一个结构化的分类表，基于软件安全领域的漏洞数据库，用于分类诈骗系统所利用的认知和社会机制。该框架的前提本身就是一种沉默的控诉：安全行业几十年来一直在记录和修补机器的弱点，却忽视了对人的弱点进行记录和管理。祖父母诈骗之所以成功，是因为它攻击了系统中从未被修补的那一部分。","这就是为什么面向老年人的宣传活动虽然必要，但并不足够。诈骗利用的情绪机制不是宣传单能够填补的知识空白；它是一个人对孙子的爱被武器化。你可以告诉某人一百次，声音可能被伪造，可在那一刻，当克隆的声音呼救时，知识不会及时到达。新加坡海峡时报和马尼拉时报在2026年6月转载的AFP电讯引用了语音安全公司Pindrop的阿米特·古普塔的话，精确地指出了问题：“目标不是完美复刻声音。目标是创造足够的情绪不确定性和紧迫感，使受害者在核实之前就采取行动。”以受害者会核实为前提的防御，是对攻击所设计绕过的弱点所构建的防御。","那篇电讯报道中最令人毛骨悚然的证词并非来自一位年老的受害者，而是一位律师。费城律师加里·希尔德霍恩本人也曾成为克隆语音诈骗的目标，他说，即便事后回想并怀有职业怀疑，他仍无法摆脱自己听到的声音的确定性：“我会带着誓言上路，那就是你的声音。”任何倾向于认为警惕就能解决问题的人都应该读懂这句话。希尔德霍恩是一位受过培训的律师，受薪于讯问证据和怀疑合理故事，但克隆声音同样彻底击败了他，就像击败惊慌的祖母一样。该诈骗利用的脆弱性不仅存在于老年人、轻信者或技术不熟练者中。它存在于人类的听觉系统本身，这一系统经过数千年的进化，把熟悉的声音视为熟悉的人的证明——而现在，在这漫长历史的第一次，它被系统性且可利用地误导了。","有关老年人的数据强化了这一重构观点，而非与之矛盾。联邦贸易委员会（FTC）在2025年12月向国会提交的报告发现，2020年至2024年间，60岁及以上人群报告的诈骗总损失大约增加了四倍，达到了约24亿美元，其中68%的金额来自个人损失10万美元或以上。考虑到羞耻和尴尬导致的长期未报告，机构自身对实际年度损失的估计高达815亿美元。这些数字并不是轻信少数人而被夺走零用钱的情况，而是一代人积累的储蓄通过一种专门针对他们的信任模式、财务状况和家庭情感中心位置设计的机制被掏空的数字。","安全公司Adaptive Security的首席执行官布赖恩·朗（Brian Long）向法新社简明扼要地总结了这种新经济：“一个房间里带着键盘的人可以制造无限数量的攻击者。”这就是不对称性的最纯粹形式。一方面是一个自动化系统，可以在几秒钟内生成一个逼真的克隆，拨打成千上万个号码，并用合成情绪进行每一次对话，其边际成本几乎为零。另一方面是一个个体人类，通常年迈、孤独，只能在一次恐慌电话的长度内进行防御，而即便是世界顶尖的法医科学家也无力做到。","2026年，美国联邦调查局、美国银行家协会和消费者权益组织广泛传播的建议是，家庭应商定一个“安全词”——只有家人知道的秘密短语，在任何紧急电话中都需要提供。如果声音无法说出该短语，则挂断并拨打已知号码。这个建议是合理的。它也同时作为一种系统性防御措施，显得完全不足，并且值得明确说明原因。","安全词只有在每个家庭成员都采纳、记住它，并且有足够的冷静在刻意要求使用时才有效，而这正是刻意摧毁冷静的。它把击败一个工业化、自动化、价值数十亿美元的犯罪机器的全部重担，都放在了一个在一周中最糟糕时刻，恐惧的个体进行认知训练。它假设这位80岁的老人，根据2025年底发布的联邦贸易委员会数据，其中位数报告损失超过1600美元，会在听到孙子尖叫时，冷静地回忆起一套程序并执行。有些人会。很多人，出于设计，不会。只有在目标在最大压力下完美表现时才有效的防御不是防御;这是一种事后将责任归咎于受害者的方式。","这正是将保护交给家庭和个人更深层次的反对。它将技术和金融体系失败的责任转嫁给最不具备承担责任的人，而当他们失败时，又将失败视为个人的失败。语音克隆工具由公司制造和销售。这些通话由电信网络承载。资金通过银行流动。这些各方都处于关键节点，欺诈实际上可以大规模被拦截。奶奶在厨房里却没有。有意义的保护需要将负担从链条末端的位置转移到它应在的中间点。一个通过向最脆弱成员提供更好建议来应对工业化威胁的社会，混淆了发布指导意见与提供保护。","逐一考虑这三个制度性瓶颈，因为每个瓶颈都展示了结构性防御的前景与当前的失败。","第三个瓶颈——也是最有希望的——是银行。这是金钱实际流动的地方，因此也是拦截机制作用最强的地方。英国提供了最清晰的自然实验。2024年10月，支付系统监管机构（Payment Systems Regulator, PSR）要求对授权推送支付（APP）诈骗进行必需的赔偿：如果受害者被欺骗授权向欺诈者转账，汇出和接收银行现在必须对其进行赔偿，责任各承担一半，上限为85,000英镑，并在五个工作日内完成，同时明确禁止对弱势客户适用消费者疏忽例外条款。账户名称确认服务（Confirmation of Payee）现在在数十亿笔交易中运行。PSR自有的仪表盘显示，截至2025年12月底的15个月内，因这种诈骗损失的钱款中有89%——约2.43亿英镑——得到了赔偿，而在规则生效前，赔偿率为65%。","综合这些线索，就能勾勒出一个连贯的图景，展示什么才是真正有效的，而不仅仅是听起来令人安心的措施。","首先，它要求放弃将检测作为主要防线。Hany Farid所说的盲点并不是可以通过更好的分类器解决的暂时性挫折；它是生成技术已经超越识别能力的世界中的永久结构性状况。任何最终防护依赖于某人在某地分辨真假内容的计划，都已经失败。","第二，它要求规范武器的供应。消费者报告（Consumer Reports）指出语音克隆工具隐藏在自我证明的复选框背后，这是政策选择，而非自然法则。在语音被克隆之前强制要求可验证的同意——Descript和Resemble AI部分实现了这种措施，而其他公司尚未——在技术上是可行的，并不会取消该技术的合法用途。欧盟的《人工智能法》（AI Act），其对通用模型的义务在2025年和2026年开始实施，以及州法律如田纳西州的ELVIS法案，要求书面同意才能克隆语音，都是将语音合成作为一种需监管能力的早期尝试。它们在执法方面仍远未跟上威胁的发展步伐。","第三，它要求将阻止责任的负担放在占据关键节点的机构上——在它们不自愿行动时，通过责任强制执行。英国的赔偿机制并不完美也不完整，但它展示了这一机制：当银行承担损失时，银行就会建立阻力。通过通话获利的电信运营商应承担相应的责任，对通话进行身份验证并在可能的情况下标识。出售克隆服务的平台应承担验证同意的责任。共同的原则是，责任应当落在既有能力防止危害又从引起危害的活动中获得商业利益的一方——在每种情况下，这都是机构，而不是一个八十岁的老太太接听电话。","第四，它要求将人类脆弱性视为需要管理的对象，而不是需要指责的对象。Charm Security 框架的洞见——欺诈所利用的认知和情绪机制应像软件缺陷一样被系统化记录——应当指导银行如何设计干预措施，运营商如何设计警告，以及公共机构如何设计教育，从而超越传单，实行 ROLESafe 研究发现能够实际改变行为的角色扮演演练。宣传活动和家庭安全用语并非无用，它们只是最后的、最弱的防线，仅作为结构性防御的备用，而结构性防御才是真正发挥作用的部分。","防御差距以年计而非月计的最深层原因是，攻击是技术问题而防御是制度问题。克隆一个声音只需三秒钟，并且每月都有改进。而制定赔偿法规、改造银行系统的欺诈控制、在整个行业强制执行同意验证、以及关闭国家电话网络中的非知识产权漏洞则需要数年，因为它们涉及法律、协调、资金以及克服所有从现状中获利的商业利益。这种不对称不仅是技术上的；它是不对称的表现，是机器构建的速度和社会应对速度之间的差异。","沙朗·布赖特韦尔（Sharon Brightwell）最终通过调查人员和她的银行的尽职努力收回了一部分钱。很多人却没有。联邦调查局（FBI）将3.52亿美元归因于老年AI诈骗受害者，而他们无法统计的更大金额，代表着财富从那些最不可能承受损失的人手中，转移到有史以来最高效的犯罪企业手中。弥合这一差距，并不是通过教祖母怀疑孙辈声音的真实性来实现的。它将通过法律和工程方式作出决策——即位于克隆与现金之间的机构，应对其处理的资金负责。在这一决策作出之前，这种“三秒钟盗窃”仍将是世界上最容易实施的严重犯罪，同时也是受害者最难被相信的犯罪——因为证据本身设计得完全像他们所爱之人的声音。","Tim Green 英国系统理论家与独立技术作家","Tim 探索人工智能、去中心化认知与后人类伦理的交汇点。他的作品发表于 smarterarticles.co.uk：https://smarterarticles.co.uk，挑战科技进步的主流叙事，同时提出跨学科的集体智能和数字管理框架。","他的文章曾在 Ground News 上刊登，并被学术和技术社区的独立研究者分享。","ORCID: 0009-0002-0156-9795：https://orcid.org/0009-0002-0156-9795 邮箱：tim@smarterarticles.co.uk：mailto:tim@smarterarticles.co.uk","收听每周免费的 SmarterArticles 播客：https://www.smarterarticles.fm","讨论...：https://remark.as/p/smarterarticles.co.uk/the-three-second-theft-why-ai-voice-fraud-outruns-every-defence","发表于 write.as：https://write.as/"],"translationStatus":"translated","bodyOrigin":"source-page","editorial":{"summary":"材料称，佛罗里达州退休老人莎伦·布赖特韦尔接到合成其女儿哭声的诈骗电话，在对方虚构车祸、保释金和保密要求后，于一小时内取出1.5万美元并交给冒充法院关联人员的快递员。","background":"正文称，合成哭声来自一段音频片段。FBI在2026年4月发布的上一年度报告中首次单列AI欺诈，记录逾2.2万起相关投诉及超过8.93亿美元调整后损失，其中60岁以上受害者损失为3.52亿美元。","viewpoint":"Aioga判断，此案的关键风险不只在于语音合成效果，还在于诈骗者同时利用亲属遇险、限时交款、冒充律师及要求隐瞒用途等手段压缩核验空间。任何仅凭声音确认身份的流程都值得重新审视。","implications":"材料显示，部分语音克隆产品主要依赖用户自我声明授权，且若干追踪与识别措施偏向事后溯源。Aioga判断，平台、银行和通信服务若缺少生成前授权核验及转账前独立确认，可能难以及时阻断此类诈骗。","nextStep":"Aioga建议，接到亲属遇险并索要现金的电话时，应先挂断，再通过已知号码直接联系本人或其他亲属核验；不要按来电者要求向银行隐瞒用途。相关平台也值得关注克隆授权验证和生成内容追踪机制。","evidenceRefs":["title","summary","articleBody","source"],"status":"published","aiGenerated":true,"autoApproved":true,"generatedBy":"aioga-editorial:gpt-5.6-sol","reviewedBy":"aioga-editorial-review:gpt-5.6-sol","generatedAt":"2026-07-22T23:29:27.134Z","sourceHash":"67a6238bda831902","review":{"approved":true,"groundedness":96,"clarity":94,"duplicationRisk":18,"blockingIssues":[],"notes":["“合成其女儿哭声”可更严谨地表述为“用音频片段合成模仿其女儿的哭声”，以避免暗示原始音频本身就是哭声。","“生成前授权核验及转账前独立确认”属于基于材料作出的风险治理建议，候选内容已用“Aioga判断”和“可能”明确标示，未冒充来源事实。"]},"validation":{"passed":true,"mode":"ai-auto","revisions":0,"checks":["schema","length","source-attribution","low-source-overlap","no-html","independent-ai-review"]}},"tags":["技巧观点","Hacker News 热门（buzzing.cc 中文翻译）"],"translations":{"zh-CN":{"title":"AI语音诈骗：退休老人因合成女儿哭声被骗1.5万美元","summary":"2025年夏季，美国佛罗里达州一名退休老人接到\"女儿\"哭诉车祸需保释金的电话，一小时内取现1.5万美元交给冒充法院的快递员--实际上，哭声是从一段音频片段合成的AI语音。FBI 2026年4月报告首次将AI欺诈列为独立类别，2025年收到超2.2万起AI相关投诉，调整后损失超8.93亿美元，其中60岁以上受害者占3.52亿美元。","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"AI语音诈骗：退休老人因合成女儿哭声被骗1.5万美元 - Aioga AI资讯","description":"2025年夏季，美国佛罗里达州一名退休老人接到\"女儿\"哭诉车祸需保释金的电话，一小时内取现1.5万美元交给冒充法院的快递员--实际上，哭声是从一段音频片段合成的AI语音。FBI 2026年4月报告首次将AI欺诈列为独立类别，2025年收到超2.2万起AI相关投诉，调整后损失超8.93亿美元，其中60岁以上受害者占3.52亿美元。","url":"https://www.aioga.com/news/cmrmbtk3z0002bivco9advwbd/"},"en":{"title":"AI voice scam: A retired elderly man was scammed out of $15,000 for synthesizing his daughter's crying voice","summary":"In the summer of 2025, a retired elderly man in Florida, USA, received a crying call from his \"daughter\" about a car accident requiring bail. Within an hour, $15,000 was withdrawn and handed to a courier impersonating the court—in reality, the crying was an AI voice synthesized from an audio clip. The FBI's April 2026 report classified AI fraud as an independent category for the first time, receiving over 22,000 AI-related complaints in 2025 and resulting in adjusted losses exceeding $893 million, with victims aged 60 and above accounting for $352 million.","category":"Insights","source":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"AI voice scam: A retired elderly man was scammed out of $15,000 for synthesizing his daughter's crying voice - Aioga AI News","description":"In the summer of 2025, a retired elderly man in Florida, USA, received a crying call from his \"daughter\" about a car accident requiring bail. Within an hour, $15,000 was withdrawn ","url":"https://www.aioga.com/en/news/cmrmbtk3z0002bivco9advwbd/","contentTranslated":true,"sourceHash":"c8ae97172478e0c5","translatedAt":"2026-07-19T13:34:04.372Z"},"ja":{"title":"AI音声詐欺:退職した高齢男性が娘の泣き声を合成したことで15,000ドルを騙し取られました","summary":"2025年夏、アメリカ・フロリダ州の退職した高齢男性が、「娘」から保釈が必要な交通事故について泣き叫ぶ電話を受けました。1時間以内に15,000ドルが引き出され、裁判所を装った宅配業者に渡されましたが、実際にはその泣き声は音声クリップから合成されたAI音声でした。 FBIの2026年4月の報告書は、AI詐欺を初めて独立したカテゴリーとして分類し、2025年には22,000件以上のAI関連苦情を受け取り、調整後損失は8億9300万ドルを超え、被害者は60歳以上で3億5,200万ドルを占めています。","category":"ヒントと視点","source":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"AI音声詐欺:退職した高齢男性が娘の泣き声を合成したことで15,000ドルを騙し取られました - Aioga AIニュース","description":"2025年夏、アメリカ・フロリダ州の退職した高齢男性が、「娘」から保釈が必要な交通事故について泣き叫ぶ電話を受けました。1時間以内に15,000ドルが引き出され、裁判所を装った宅配業者に渡されましたが、実際にはその泣き声は音声クリップから合成されたAI音声でした。 FBIの2026年4月の報告書は、AI詐欺を初めて独立したカテゴリーとして分類し、2025年に","url":"https://www.aioga.com/ja/news/cmrmbtk3z0002bivco9advwbd/","contentTranslated":true,"sourceHash":"c8ae97172478e0c5","translatedAt":"2026-07-19T13:34:04.580Z"},"ko":{"title":"AI 음성 사기: 은퇴한 노인 남성이 딸의 울음 소리를 합성했다는 이유로 15,000달러를 사기당했습니다","summary":"2025년 여름, 미국 플로리다의 한 은퇴한 노인 남성이 '딸'로부터 보석이 필요한 교통사고에 대해 울음 전화를 받았습니다. 한 시간 이내에 15,000달러가 인출되어 법원을 가장한 택배원에게 전달되었는데, 실제로는 그 울음소리가 오디오 클립을 합성한 AI 음성이었습니다. FBI의 2026년 4월 보고서는 처음으로 AI 사기를 독립 범주로 분류했으며, 2025년 AI 관련 신고가 22,000건 이상을 접수했고, 조정 후 손실은 8억 9,300만 달러를 초과했으며, 피해자는 3억 5,200만 달러에 달했습니다.","category":"인사이트","source":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"AI 음성 사기: 은퇴한 노인 남성이 딸의 울음 소리를 합성했다는 이유로 15,000달러를 사기당했습니다 - Aioga AI 뉴스","description":"2025년 여름, 미국 플로리다의 한 은퇴한 노인 남성이 '딸'로부터 보석이 필요한 교통사고에 대해 울음 전화를 받았습니다. 한 시간 이내에 15,000달러가 인출되어 법원을 가장한 택배원에게 전달되었는데, 실제로는 그 울음소리가 오디오 클립을 합성한 AI 음성이었습니다. FBI의 2026년 4월 보고서는 처음으로 AI ","url":"https://www.aioga.com/ko/news/cmrmbtk3z0002bivco9advwbd/","contentTranslated":true,"sourceHash":"c8ae97172478e0c5","translatedAt":"2026-07-19T13:34:04.538Z"},"es":{"title":"Estafa de voz con IA: Un anciano jubilado fue estafado con 15.000 dólares por sintetizar la voz llorosa de su hija","summary":"En el verano de 2025, un anciano jubilado en Florida, EE. UU., recibió una llamada llorosa de su \"hija\" sobre un accidente de coche que requería la libertad bajo fianza. En menos de una hora, se retiraron 15.000 dólares y se entregaron a un mensajero que se hacía pasar por el tribunal; en realidad, el llanto era una voz de IA sintetizada a partir de un fragmento de audio. El informe del FBI de abril de 2026 clasificó el fraude por IA como una categoría independiente por primera vez, recibiendo más de 22.000 quejas relacionadas con IA en 2025 y resultando en pérdidas ajustadas superiores a 893 millones de dólares, con víctimas de 60 años o más que 352 millones de dólares.","category":"Ideas","source":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Estafa de voz con IA: Un anciano jubilado fue estafado con 15.000 dólares por sintetizar la voz llorosa de su hija - Aioga Noticias de IA","description":"En el verano de 2025, un anciano jubilado en Florida, EE. UU., recibió una llamada llorosa de su \"hija\" sobre un accidente de coche que requería la libertad bajo fianza. En menos d","url":"https://www.aioga.com/es/news/cmrmbtk3z0002bivco9advwbd/","contentTranslated":true,"sourceHash":"c8ae97172478e0c5","translatedAt":"2026-07-19T13:34:04.677Z"},"fr":{"title":"Arnaque à la voix IA : Un vieil homme à la retraite a été escroqué de 15 000 $ pour avoir synthétisé la voix en pleurs de sa fille","summary":"À l’été 2025, un vieil homme à la retraite en Floride, aux États-Unis, a reçu un appel en pleurs de sa « fille » au sujet d’un accident de voiture nécessitant une libération sous caution. En moins d’une heure, 15 000 $ ont été retirés et remis à un coursier se faisant passer pour le tribunal — en réalité, les pleurs étaient une voix IA synthétisée à partir d’un extrait audio. Le rapport du FBI d’avril 2026 a classé la fraude par IA comme une catégorie indépendante pour la première fois, recevant plus de 22 000 plaintes liées à l’IA en 2025 et entraînant des pertes ajustées dépassant 893 millions de dollars, les victimes de 60 ans et plus représentant 352 millions de dollars.","category":"Analyses","source":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Arnaque à la voix IA : Un vieil homme à la retraite a été escroqué de 15 000 $ pour avoir synthétisé la voix en pleurs de sa fille - Aioga Actualités IA","description":"À l’été 2025, un vieil homme à la retraite en Floride, aux États-Unis, a reçu un appel en pleurs de sa « fille » au sujet d’un accident de voiture nécessitant une libération sous c","url":"https://www.aioga.com/fr/news/cmrmbtk3z0002bivco9advwbd/","contentTranslated":true,"sourceHash":"c8ae97172478e0c5","translatedAt":"2026-07-19T13:34:04.600Z"},"de":{"title":"KI-Stimmenbetrug: Ein pensionierter älterer Mann wurde um 15.000 Dollar betrogen, weil er die weinende Stimme seiner Tochter synthetisiert hatte","summary":"Im Sommer 2025 erhielt ein pensionierter älterer Mann in Florida, USA, einen weinenden Anruf von seiner \"Tochter\" wegen eines Autounfalls, der Kaution erforderte. Innerhalb einer Stunde wurden 15.000 Dollar abgehoben und einem Kurier übergeben, der das Gericht imitierte – in Wirklichkeit war das Weinen eine KI-Stimme, die aus einem Audioclip synthetisiert wurde. Der FBI-Bericht vom April 2026 klassifizierte KI-Betrug erstmals als eigenständige Kategorie, erhielt 2025 über 22.000 KI-bezogene Beschwerden und führte zu bereinigten Verlusten von über 893 Millionen US-Dollar, wobei Opfer ab 60 Jahren 352 Millionen Dollar ausmachten.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"KI-Stimmenbetrug: Ein pensionierter älterer Mann wurde um 15.000 Dollar betrogen, weil er die weinende Stimme seiner Tochter synthetisiert hatte - Aioga KI-News","description":"Im Sommer 2025 erhielt ein pensionierter älterer Mann in Florida, USA, einen weinenden Anruf von seiner \"Tochter\" wegen eines Autounfalls, der Kaution erforderte. Innerhalb einer S","url":"https://www.aioga.com/de/news/cmrmbtk3z0002bivco9advwbd/","contentTranslated":true,"sourceHash":"c8ae97172478e0c5","translatedAt":"2026-07-19T13:34:10.277Z"},"pt-BR":{"title":"Golpe de voz por IA: Um idoso aposentado foi enganado em $15.000 por sintetizar a voz chorando da filha","summary":"No verão de 2025, um idoso aposentado na Flórida, EUA, recebeu uma ligação chorando de sua \"filha\" sobre um acidente de carro que exigiu fiança. Em menos de uma hora, $15.000 foram retirados e entregues a um mensageiro que se fazia passar pelo tribunal — na realidade, o choro era uma voz de IA sintetizada a partir de um áudio. O relatório do FBI de abril de 2026 classificou a fraude por IA como uma categoria independente pela primeira vez, recebendo mais de 22.000 reclamações relacionadas a IA em 2025 e resultando em prejuízos ajustados superiores a 893 milhões de dólares, com vítimas com 60 anos ou mais representando 352 milhões de dólares.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Golpe de voz por IA: Um idoso aposentado foi enganado em $15.000 por sintetizar a voz chorando da filha - Aioga Notícias de IA","description":"No verão de 2025, um idoso aposentado na Flórida, EUA, recebeu uma ligação chorando de sua \"filha\" sobre um acidente de carro que exigiu fiança. Em menos de uma hora, $15.000 foram","url":"https://www.aioga.com/pt-BR/news/cmrmbtk3z0002bivco9advwbd/","contentTranslated":true,"sourceHash":"c8ae97172478e0c5","translatedAt":"2026-07-19T13:34:07.000Z"},"ru":{"title":"Мошенничество с голосом ИИ: пенсионера-пенсионера обманули на $15,000 за синтез плачущего голоса своей дочери","summary":"Летом 2025 года пенсионер из Флориды, США, получил плачущий звонок от своей «дочери» по поводу автомобильной аварии, требующей залога. В течение часа было снято 15 000 долларов и передано курьеру, выдавшему себя за суда — на самом деле плач был голосом искусственного интеллекта, синтезированным из аудиофрагмента. Апрельский отчёт ФБР за 2026 год впервые классифицировал мошенничество с ИИ как независимую категорию, получив более 22 000 жалоб, связанных с ИИ, в 2025 году и приведя к скорректированным убыткам более 893 миллионов долларов, при этом жертвам в возрасте 60 лет и старше приходится 352 миллиона долларов.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Мошенничество с голосом ИИ: пенсионера-пенсионера обманули на $15,000 за синтез плачущего голоса своей дочери - Aioga Новости ИИ","description":"Летом 2025 года пенсионер из Флориды, США, получил плачущий звонок от своей «дочери» по поводу автомобильной аварии, требующей залога. В течение часа было снято 15 000 долларов и п","url":"https://www.aioga.com/ru/news/cmrmbtk3z0002bivco9advwbd/","contentTranslated":true,"sourceHash":"c8ae97172478e0c5","translatedAt":"2026-07-19T13:34:07.272Z"},"ar":{"title":"احتيال صوتي بالذكاء الاصطناعي: رجل مسن متقاعد تعرض للاحتيال وأخذ 15,000 دولار بسبب تجميعه لصوت بكاء ابنته","summary":"في صيف عام 2025، تلقى رجل مسن متقاعد في فلوريدا، الولايات المتحدة الأمريكية، مكالمة بكاء من \"ابنته\" بشأن حادث سيارة يتطلب الإفراج بكفالة. خلال ساعة، تم سحب مبلغ 15,000 دولار وتسليمه إلى ساعي ينتحل شخصية المحكمة—في الواقع، كان البكاء صوتا اصطناعيا تم تصنيعه من مقطع صوتي. صنف تقرير مكتب التحقيقات الفيدرالي في أبريل 2026 الاحتيال في الذكاء الاصطناعي كفئة مستقلة لأول مرة، حيث تلقى أكثر من 22,000 شكوى متعلقة بالذكاء الاصطناعي في عام 2025، مما أدى إلى خسائر معدلة تجاوزت 893 مليون دولار، مع الضحايا الذين تبلغ أعمارهم 60 عاما فأكثر وبلغت الإيرادات 352 مليون دولار.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"احتيال صوتي بالذكاء الاصطناعي: رجل مسن متقاعد تعرض للاحتيال وأخذ 15,000 دولار بسبب تجميعه لصوت بكاء ابنته - Aioga أخبار الذكاء الاصطناعي","description":"في صيف عام 2025، تلقى رجل مسن متقاعد في فلوريدا، الولايات المتحدة الأمريكية، مكالمة بكاء من \"ابنته\" بشأن حادث سيارة يتطلب الإفراج بكفالة. خلال ساعة، تم سحب مبلغ 15,000 دولار وتسليم","url":"https://www.aioga.com/ar/news/cmrmbtk3z0002bivco9advwbd/","contentTranslated":true,"sourceHash":"c8ae97172478e0c5","translatedAt":"2026-07-19T13:34:10.128Z"},"hi":{"title":"एआई वॉयस स्कैम: एक सेवानिवृत्त बुजुर्ग व्यक्ति को अपनी बेटी की रोने वाली आवाज को संश्लेषित करने के लिए $ 15,000 से घोटाला किया गया था","summary":"2025 की गर्मियों में, फ्लोरिडा, यूएसए में एक सेवानिवृत्त बुजुर्ग व्यक्ति को उसकी \"बेटी\" से एक कार दुर्घटना के बारे में रोने का फोन आया, जिसके लिए जमानत की आवश्यकता थी। एक घंटे के भीतर, $15,000 वापस ले लिए गए और अदालत का प्रतिरूपण करने वाले एक कूरियर को सौंप दिया गया - वास्तव में, रोना एक ऑडियो क्लिप से संश्लेषित एक एआई आवाज थी। एफबीआई की अप्रैल 2026 की रिपोर्ट ने पहली बार एआई धोखाधड़ी को एक स्वतंत्र श्रेणी के रूप में वर्गीकृत किया, 2025 में 22,000 से अधिक एआई-संबंधित शिकायतें प्राप्त हुईं और इसके परिणामस्वरूप समायोजित नुकसान $893 मिलियन से अधिक हो गया, जिसमें 60 वर्ष और उससे अधिक आयु के पीड़ितों का हिसाब $352 मिलियन था।","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"एआई वॉयस स्कैम: एक सेवानिवृत्त बुजुर्ग व्यक्ति को अपनी बेटी की रोने वाली आवाज को संश्लेषित करने के लिए $ 15,000 से घोटाला किया गया था - Aioga AI समाचार","description":"2025 की गर्मियों में, फ्लोरिडा, यूएसए में एक सेवानिवृत्त बुजुर्ग व्यक्ति को उसकी \"बेटी\" से एक कार दुर्घटना के बारे में रोने का फोन आया, जिसके लिए जमानत की आवश्यकता थी। एक घंटे के भ","url":"https://www.aioga.com/hi/news/cmrmbtk3z0002bivco9advwbd/","contentTranslated":true,"sourceHash":"c8ae97172478e0c5","translatedAt":"2026-07-19T13:34:07.895Z"},"it":{"title":"Truffa vocale con IA: Un anziano in pensione è stato truffato di 15.000 dollari per aver sintetizzato la voce piangente di sua figlia","summary":"Nell'estate del 2025, un anziano in pensione in Florida, USA, ha ricevuto una chiamata piangendo dalla sua \"figlia\" riguardo a un incidente d'auto che richiedeva la libertà su cauzione. Nel giro di un'ora, 15.000 dollari sono stati prelevati e consegnati a un corriere che si spacciava per il tribunale—in realtà, il pianto era una voce AI sintetizzata da un clip audio. Il rapporto dell'FBI di aprile 2026 ha classificato per la prima volta la frode tramite IA come categoria indipendente, ricevendo oltre 22.000 reclami legati all'IA nel 2025 e con perdite aggiustate superiori a 893 milioni di dollari, con vittime di 60 anni e oltre che ammontano a 352 milioni di dollari.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Truffa vocale con IA: Un anziano in pensione è stato truffato di 15.000 dollari per aver sintetizzato la voce piangente di sua figlia - Aioga Notizie IA","description":"Nell'estate del 2025, un anziano in pensione in Florida, USA, ha ricevuto una chiamata piangendo dalla sua \"figlia\" riguardo a un incidente d'auto che richiedeva la libertà su cauz","url":"https://www.aioga.com/it/news/cmrmbtk3z0002bivco9advwbd/","contentTranslated":true,"sourceHash":"c8ae97172478e0c5","translatedAt":"2026-07-19T13:34:10.791Z"},"nl":{"title":"AI-stemfraude: Een gepensioneerde oudere man werd opgelicht voor $15.000 omdat hij de huilende stem van zijn dochter had gesynthetiseerd","summary":"In de zomer van 2025 ontving een gepensioneerde oudere man in Florida, VS, een huilend telefoontje van zijn \"dochter\" over een auto-ongeluk waarvoor borgtocht nodig was. Binnen een uur werd $15.000 opgenomen en overhandigd aan een koerier die zich voordeed als de rechtbank—in werkelijkheid was het huilen een AI-stem gesynthetiseerd uit een audioclip. Het FBI-rapport van april 2026 classificeerde AI-fraude voor het eerst als een onafhankelijke categorie, met meer dan 22.000 AI-gerelateerde klachten in 2025 en resulteerde in aangepaste verliezen van meer dan 893 miljoen dollar, waarbij slachtoffers van 60 jaar en ouder 352 miljoen dollar uitmaakten.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"AI-stemfraude: Een gepensioneerde oudere man werd opgelicht voor $15.000 omdat hij de huilende stem van zijn dochter had gesynthetiseerd - Aioga AI-nieuws","description":"In de zomer van 2025 ontving een gepensioneerde oudere man in Florida, VS, een huilend telefoontje van zijn \"dochter\" over een auto-ongeluk waarvoor borgtocht nodig was. Binnen een","url":"https://www.aioga.com/nl/news/cmrmbtk3z0002bivco9advwbd/","contentTranslated":true,"sourceHash":"c8ae97172478e0c5","translatedAt":"2026-07-19T13:34:07.398Z"},"tr":{"title":"Yapay zeka ses dolandırıcılığı: Emekli yaşlı bir adam, kızının ağlayan sesini sentezlediği için 15.000 dolar dolandırıldı","summary":"2025 yazında, Florida, ABD'de emekli yaşlı bir adam, kefalet gerektiren bir trafik kazası ile ilgili \"kızı\"ndan ağlayan bir telefon aldı. Bir saat içinde 15.000 dolar çekildi ve mahkeme kimliğini taklit eden bir kuryeye verildi—aslında ağlama, bir ses klipinden sentezlenen bir yapay zeka sesiydi. FBI'ın Nisan 2026 raporu, yapay zeka dolandırıcılığını ilk kez bağımsız bir kategori olarak sınıflandırdı; 2025'te 22.000'den fazla yapay zeka ile ilgili şikayet aldı ve düzeltilmiş zararlar 893 milyon doları aştı; 60 yaş ve üzeri mağdurlar ise 352 milyon dolara ulaştı.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Yapay zeka ses dolandırıcılığı: Emekli yaşlı bir adam, kızının ağlayan sesini sentezlediği için 15.000 dolar dolandırıldı - Aioga AI Haberleri","description":"2025 yazında, Florida, ABD'de emekli yaşlı bir adam, kefalet gerektiren bir trafik kazası ile ilgili \"kızı\"ndan ağlayan bir telefon aldı. Bir saat içinde 15.000 dolar çekildi ve ma","url":"https://www.aioga.com/tr/news/cmrmbtk3z0002bivco9advwbd/","contentTranslated":true,"sourceHash":"c8ae97172478e0c5","translatedAt":"2026-07-19T13:34:11.205Z"},"vi":{"title":"Lừa đảo bằng giọng nói AI: Một người đàn ông lớn tuổi đã nghỉ hưu bị lừa 15.000 USD vì tổng hợp giọng nói khóc của con gái","summary":"Vào mùa hè năm 2025, một người đàn ông lớn tuổi đã nghỉ hưu ở Florida, Hoa Kỳ, nhận được một cuộc gọi khóc từ \"con gái\" của mình về một vụ tai nạn xe hơi cần được tại ngoại. Trong vòng một giờ, 15.000 đô la đã được rút và giao cho một người chuyển phát nhanh mạo danh tòa án - trên thực tế, tiếng khóc là một giọng nói AI được tổng hợp từ một đoạn âm thanh. Báo cáo tháng 4 năm 2026 của FBI lần đầu tiên phân loại gian lận AI là một danh mục độc lập, nhận được hơn 22.000 khiếu nại liên quan đến AI vào năm 2025 và dẫn đến thiệt hại được điều chỉnh vượt quá 893 triệu đô la, với nạn nhân từ 60 tuổi trở lên chiếm 352 triệu đô la.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Lừa đảo bằng giọng nói AI: Một người đàn ông lớn tuổi đã nghỉ hưu bị lừa 15.000 USD vì tổng hợp giọng nói khóc của con gái - Tin tức AI Aioga","description":"Vào mùa hè năm 2025, một người đàn ông lớn tuổi đã nghỉ hưu ở Florida, Hoa Kỳ, nhận được một cuộc gọi khóc từ \"con gái\" của mình về một vụ tai nạn xe hơi cần được tại ngoại. Trong ","url":"https://www.aioga.com/vi/news/cmrmbtk3z0002bivco9advwbd/","contentTranslated":true,"sourceHash":"c8ae97172478e0c5","translatedAt":"2026-07-19T13:34:07.768Z"},"id":{"title":"Penipuan suara AI: Seorang pensiunan pria tua ditipu sebesar $15.000 karena mensintesis suara tangisan putrinya","summary":"Pada musim panas 2025, seorang pensiunan pria tua di Florida, AS, menerima telepon menangis dari \"putrinya\" tentang kecelakaan mobil yang membutuhkan jaminan. Dalam satu jam, $15.000 ditarik dan diserahkan kepada kurir yang menyamar sebagai pengadilan—pada kenyataannya, tangisan itu adalah suara AI yang disintesis dari klip audio. Laporan FBI April 2026 mengklasifikasikan penipuan AI sebagai kategori independen untuk pertama kalinya, menerima lebih dari 22.000 keluhan terkait AI pada tahun 2025 dan mengakibatkan kerugian yang disesuaikan melebihi $893 juta, dengan korban berusia 60 tahun ke atas menyumbang $352 juta.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Penipuan suara AI: Seorang pensiunan pria tua ditipu sebesar $15.000 karena mensintesis suara tangisan putrinya - Berita AI Aioga","description":"Pada musim panas 2025, seorang pensiunan pria tua di Florida, AS, menerima telepon menangis dari \"putrinya\" tentang kecelakaan mobil yang membutuhkan jaminan. Dalam satu jam, $15.0","url":"https://www.aioga.com/id/news/cmrmbtk3z0002bivco9advwbd/","contentTranslated":true,"sourceHash":"c8ae97172478e0c5","translatedAt":"2026-07-19T13:34:11.252Z"},"th":{"title":"การหลอกลวงด้วยเสียง AI: ชายสูงอายุที่เกษียณอายุแล้วถูกหลอกลวงเงิน 15,000 ดอลลาร์จากการสังเคราะห์เสียงร้องไห้ของลูกสาว","summary":"ในฤดูร้อนปี 2025 ชายสูงอายุที่เกษียณอายุแล้วในฟลอริดา สหรัฐอเมริกา ได้รับโทรศัพท์ร้องไห้จาก \"ลูกสาว\" ของเขาเกี่ยวกับอุบัติเหตุทางรถยนต์ที่ต้องได้รับการประกันตัวภายในหนึ่งชั่วโมง เงิน 15,000 ดอลลาร์ถูกถอนออกและส่งมอบให้กับผู้จัดส่งที่แอบอ้างเป็นศาล อันที่จริง เสียงร้องไห้นั้นเป็นเสียง AI ที่สังเคราะห์จากคลิปเสียง รายงานของเอฟบีไอในเดือนเมษายน 2026 จัดประเภทการฉ้อโกง AI เป็นหมวดหมู่อิสระเป็นครั้งแรก โดยได้รับการร้องเรียนที่เกี่ยวข้องกับ AI มากกว่า 22,000 รายการในปี 2025 และส่งผลให้มีการสูญเสียที่ปรับปรุงแล้วเกิน 893 ล้านดอลลาร์ โดยเหยื่อที่มีอายุ 60 ปีขึ้นไปคิดเป็น 352 ล้านดอลลาร์","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"การหลอกลวงด้วยเสียง AI: ชายสูงอายุที่เกษียณอายุแล้วถูกหลอกลวงเงิน 15,000 ดอลลาร์จากการสังเคราะห์เสียงร้องไห้ของลูกสาว - ข่าว AI Aioga","description":"ในฤดูร้อนปี 2025 ชายสูงอายุที่เกษียณอายุแล้วในฟลอริดา สหรัฐอเมริกา ได้รับโทรศัพท์ร้องไห้จาก \"ลูกสาว\" ของเขาเกี่ยวกับอุบัติเหตุทางรถยนต์ที่ต้องได้รับการประกันตัวภายในหนึ่งชั่วโมง เง","url":"https://www.aioga.com/th/news/cmrmbtk3z0002bivco9advwbd/","contentTranslated":true,"sourceHash":"c8ae97172478e0c5","translatedAt":"2026-07-19T13:34:08.303Z"},"pl":{"title":"Oszustwo z głosem AI: Emerytowany starszy mężczyzna został oszukany i pozbawiony 15 000 dolarów za syntezę płaczącego głosu swojej córki","summary":"Latem 2025 roku emerytowany starszy mężczyzna na Florydzie w USA otrzymał płaczący telefon od swojej \"córki\" w sprawie wypadku samochodowego, który wymagał kaucji. W ciągu godziny wypłacono 15 000 dolarów i przekazano kurierowi podszywającemu się pod sąd — w rzeczywistości płacz był głosem AI syntetyzowanym z nagrania audio. Raport FBI z kwietnia 2026 roku po raz pierwszy sklasyfikował oszustwa AI jako niezależną kategorię, otrzymując ponad 22 000 skarg związanych z AI w 2025 roku i powodując skorygowane straty przekraczające 893 miliony dolarów, przy czym ofiary w wieku 60 lat i więcej stanowiły 352 miliony dolarów.","category":"技巧观点","source":"Hacker News 热门（buzzing.cc 中文翻译）","pageTitle":"Oszustwo z głosem AI: Emerytowany starszy mężczyzna został oszukany i pozbawiony 15 000 dolarów za syntezę płaczącego głosu swojej córki - Aioga Wiadomości AI","description":"Latem 2025 roku emerytowany starszy mężczyzna na Florydzie w USA otrzymał płaczący telefon od swojej \"córki\" w sprawie wypadku samochodowego, który wymagał kaucji. W ciągu godziny ","url":"https://www.aioga.com/pl/news/cmrmbtk3z0002bivco9advwbd/","contentTranslated":true,"sourceHash":"c8ae97172478e0c5","translatedAt":"2026-07-19T13:34:11.122Z"}}}}