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Chinese takeaway worker Jian Wen jailed for money laundering after £3bn Bitcoin seizure | UK News
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A former Chinese takeaway worker found guilty of money laundering after police seized more than £3bn worth of Bitcoin has been jailed for more than six years. Jian Wen, 42, came to the attention of police when she tried to buy some of London’s most expensive properties, including a £23.5m seven-bedroom Hampstead mansion with a…
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Disgruntled school worker accused of using AI to create fake recording of principal on racist rant | US News
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A high school athletics director has been accused of using AI to create a fake recording of the principal going on a racist and antisemitic rant. Dazhon Darien allegedly impersonated Eric Eiswert’s voice with artificial intelligence, in a clip that went viral and was widely shared on social media. In the forged audio, it sounded as…
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How Chinese takeaway worker led police to Bitcoin worth £3bn in Britain’s biggest ever cryptocurrency seizure | UK News
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Within weeks of Yadi Zhang’s arrival in London in September 2017, Jian Wen had left her job and room in a Chinese takeaway and moved into a £5m six-bedroom house near Hampstead Heath. The women, who claimed to run an international jewellery business trading in diamonds and antiques in countries including Japan, Thailand and China,…
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Bitcoin worth £1.4bn seized after ex-takeaway worker tried to buy £23m mansion, court hears | UK News
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Bitcoin worth more than £1.4bn was seized by police after a former Chinese takeaway worker tried to buy a £23.5m Hampstead mansion, a court has heard. Jian Wen, 42, is alleged to have acted as a “front person” to help launder some of the profits of a £5bn investment fraud carried out in China by…
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Tesla worker injured by robot that ‘pinned’ him to wall with its claws at car company’s Texas factory | US News
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A Tesla engineer was injured by a robot that pinned him to the wall at the company’s giant factory in Texas, according to reports. The 2021 incident came to light through an injury record filed to regulators. It noted the injury type as “laceration, cut, open wound” and recorded the “cause object” as a robot.…