cars – Earlybirds Invest https://earlybirdsinvest.com Latest Crypto News Tue, 20 May 2025 03:38:35 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.7 https://i0.wp.com/earlybirdsinvest.com/wp-content/uploads/2024/12/cropped-New-Project-2024-12-17T235703.455.png?fit=32%2C32&ssl=1 cars – Earlybirds Invest https://earlybirdsinvest.com 32 32 240146708 Authorities Allege Scammers Stole $265,000,000 in Crypto To Buy Exotic Cars, Private Security and Other Luxuries https://earlybirdsinvest.com/authorities-allege-scammers-stole-265000000-in-crypto-to-buy-exotic-cars-private-security-and-other-luxuries/ https://earlybirdsinvest.com/authorities-allege-scammers-stole-265000000-in-crypto-to-buy-exotic-cars-private-security-and-other-luxuries/#respond Tue, 20 May 2025 03:38:34 +0000 https://earlybirdsinvest.com/authorities-allege-scammers-stole-265000000-in-crypto-to-buy-exotic-cars-private-security-and-other-luxuries/

A New Zealand man has been arrested for allegedly being a part of an international criminal organization that stole $265 million in crypto assets from seven people.

In a new press release, authorities allege that the unnamed Wellington man participated in a scheme that fraudulently obtained the crypto assets by manipulating victims between March and August 2024.

The U.S Department of Justice (DOJ) has charged the individual with racketeering, conspiracy to commit wire fraud and conspiracy to commit money laundering.

Twelve other people are facing charges in connection with the case, including individuals from Auckland and California.

According to prosecutors, the defendants laundered the proceeds of the scheme through various cryptocurrency exchanges before spending the funds to purchase luxury items such as handbags, clothes, cars, watches, private security, rental homes and expensive nightclub entertainment.

The other members of the group were recently arrested and charged by the DOJ as well. According to previous reports, the organization had a team behind them made up of hackers, callers, organizers, money launderers and residential burglars. The team has been operating as early as October 2023.

Last year, two members of the group, Malone Lam and Jeandiel Serrano, were arrested and charged in connection with a plot that allegedly saw them steal $230 million in crypto from a victim and then attempt to launder the funds using advanced methods.

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Teen Crypto Gang Blew $263 Million on Private Jets, Clubs, and Luxury Cars https://earlybirdsinvest.com/teen-crypto-gang-blew-263-million-on-private-jets-clubs-and-luxury-cars/ https://earlybirdsinvest.com/teen-crypto-gang-blew-263-million-on-private-jets-clubs-and-luxury-cars/#respond Fri, 16 May 2025 08:02:26 +0000 https://earlybirdsinvest.com/teen-crypto-gang-blew-263-million-on-private-jets-clubs-and-luxury-cars/

A group of young people is facing federal charges for allegedly stealing over $263 million in cryptocurrency and spending the money on expensive cars, parties, and high-end items.

US authorities announced charges against 12 new individuals on May 15, naming Malone Lam in a four-count indictment.

Most of the accused are between 18 and 21 years old. Some are American citizens, while others are foreign nationals. Two of them are believed to be in Dubai, and a few are known only by their online usernames.

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The charges include conspiracy under racketeering laws, wire fraud, and money laundering. One member, John Tucker Desmond, is accused of destroying evidence to interfere with the investigation.

According to court documents, the group formed around October 2023 after meeting on gaming platforms. Each person had a different role—some hacked databases, others pretended to be support staff to trick victims, and a few helped move the stolen crypto into cash.

The group reportedly used a range of tools to hide their activity, including VPNs, coin mixers, and fake companies. They used the money for personal use, booking private jet flights, buying at least 28 luxury cars, renting expensive homes, and spending large amounts at clubs. Some of the cash was hidden inside stuffed toys during transport.

Authorities also reported that Lam continued to give instructions to others while in custody, including telling someone to deliver luxury items to his partner. The investigation is ongoing, with help from FBI teams in Los Angeles and Miami.

On May 14, authorities in Europe arrested 17 people for operating a crypto-based network that laundered over $23 million. How did the case unfold? Read the full story.

Having completed a Master’s degree in Economics, Politics, and Cultures of the East Asia region, Aaron has written scientific papers analyzing the differences between Western and Collective forms of capitalism in the post-World War II era.
With close to a decade of experience in the FinTech industry, Aaron understands all of the biggest issues and struggles that crypto enthusiasts face. He’s a passionate analyst who is concerned with data-driven and fact-based content, as well as that which speaks to both Web3 natives and industry newcomers.
Aaron is the go-to person for everything and anything related to digital currencies. With a huge passion for blockchain & Web3 education, Aaron strives to transform the space as we know it, and make it more approachable to complete beginners.
Aaron has been quoted by multiple established outlets, and is a published author himself. Even during his free time, he enjoys researching the market trends, and looking for the next supernova.


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New study finds self-driving cars safer than human drivers https://earlybirdsinvest.com/new-study-finds-self-driving-cars-safer-than-human-drivers/ https://earlybirdsinvest.com/new-study-finds-self-driving-cars-safer-than-human-drivers/#respond Sun, 04 May 2025 23:58:23 +0000 https://earlybirdsinvest.com/new-study-finds-self-driving-cars-safer-than-human-drivers/

I have some bad news: You are almost certainly a worse driver than you think you are.

Humans drive distracted. They drive drowsy. They drive angry. And, worst of all, they drive impaired far more often than they should. Even when we’re firing on all cylinders, our Stone Age-adapted brains are often no match for the speed and complexity of high-speed driving. There’s as much as a 2.5-second lag between what we perceive and how fast we can react in a vehicle traveling 60 mph, which means a car will travel the equivalent of two basketball court lengths before its driver can even hit the brake.

The result of this very human fallibility is blood on the streets. Nearly 1.2 million people die in road crashes globally each year, enough to fill nine jumbo jets each day. Here in the US, the government estimates there were 39,345 traffic fatalities in 2024, which adds up to a bus’s worth of people perishing every 12 hours.

The good news is there are much, much better drivers coming online, and they have everything human drivers don’t: They don’t need sleep. They don’t get angry. They don’t get drunk. And their brains can handle high-speed decision-making with ease.

The average American adult will spend around three years of their life driving. If robots could take the wheel instead, well, think of all the Netflix shows we could stream instead.

But the true benefit of a self-driving revolution will be in lives saved. And new data from the autonomous vehicle company Waymo suggests that those savings could be very great indeed.

In a peer-reviewed study that is set to be published in the journal Traffic Injury Prevention, Waymo analyzed the safety performance of its autonomous vehicles over the course of 56.7 million miles driven in Austin, Los Angeles, Phoenix, and San Francisco — all without a human safety driver present to take the wheel in an emergency. They then compared that data to human driving safety over the same number of miles driven on the same kind of roads.

The results of the study, almost certainly the biggest and most comprehensive research on self-driving car safety yet released, are striking.

A master class in driving safety

Compared to human drivers, the Waymo self-driving cars had:

  • 81 percent fewer airbag-deploying crashes
  • 85 percent fewer crashes with suspected serious or worse injuries
  • 96 percent fewer injury crashes at intersections (primarily because Waymo detects red lights faster than humans)
  • 92 percent fewer crashes that involve injuries to pedestrians.

Had the typical human-driven fleet of cars covered those same 56.7 million miles, the Waymo researchers project it would have resulted in an estimated 181 additional injury crashes, 78 additional air-bag crashes, and 11 extra serious-injury crashes.

But the numbers really get eye-popping when you extend this data across all 3.3 trillion vehicle miles driven by humans in the US in a typical year. Back-of-the-envelope calculations suggest that if the same 85 percent reduction seen in serious crashes held true for fatal ones — a big if, to be clear, since the study had too few fatal events to measure — we’d save approximately 34,000 lives a year. That’s five times the number of Americans who died in the Iraq and Afghanistan wars combined.

Don’t get in the way of progress

Of course, there are plenty of caveats to the Waymo study and even more obstacles before we could ever achieve anything like what’s outlined above.

In part because serious injury crashes are (thankfully) very rare, even 56.7 million miles isn’t long enough for researchers to be really sure that such crashes would occur significantly less often with robot drivers, so more data will be needed there. Waymo’s cars were also being driven largely in warm, sunny locations, operating in geofenced areas that had been heavily mapped by the company. It’s far less certain how they might do in, let’s say, the snowy streets of Boston in the winter.

This is also a company-run study, though it has been peer-reviewed by outside experts. And even if we decided to go all in on AI drivers, actually producing enough autonomous vehicles to begin to replace human-driven cars and trucks would be an enormous undertaking, to say the least.

Still, the data looks so good, and the death toll on our roads is so high that I’d argue slowing down autonomous vehicles is actually costing lives. And there’s a risk that’s precisely what will happen.

Too often the public focuses on unusual, outlier events with self-driving cars, while the carnage that occurs thanks to human drivers on a daily basis is simply treated as background noise. (That’s an example of two common psychological biases: availability bias, which causes us to judge risk by outlier events that jump easily to mind, and base-rate neglect, where we ignore the underlying frequency of events.) This misapprehension is something I often see in news coverage and consumption, and it’s one of the reasons I started Good News.

The result is that public opinion has been turning against self-driving cars in recent years, to the point where vandals have attacked autonomous vehicles on the street. And of course, given that nearly 5 million Americans make their living primarily through driving, any wide-scale movement to self-driving vehicles would bring significant economic disruption.

But still, 34,000 lives saved on an annual basis would represent tremendous progress. Maybe, after about 100 years of trying, it’s time to give something else a chance behind the wheel.

A version of this story originally appeared in the Good News newsletter. Sign up here!

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