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NEW YORK – The founder of Frank, a student loan assistance startup company that J.P. Morgan Chase acquired for $175 million two years ago, was arrested on charges that she duped the financial giant by dramatically inflating the number of customers her company had, authorities said.

Charlie Javice, 31, of Miami Beach, Florida, was arrested Monday night in New Jersey on conspiracy, wire and bank fraud charges.

A charging document in Manhattan federal court said she claimed her company had over four million users when it had fewer than 300,000 customers.

“This arrest should warn entrepreneurs who lie to advance their businesses that their lies will catch up to them.” US Attorney Damian Williams

Authorities said Javice, who appeared on the Forbes 2019 "30 Under 30" list, would have earned $45 million from the fraud.

Javice and her lawyer declined to comment as they left court after Javice signed a $2 million bond and agreed to curfew and possible electronic monitoring if court officers decide it is necessary. 

She also agreed not to contact key figures in the case — including investors — except for her mother and her mother's boyfriend.

In a release, U.S. Attorney Damian Williams said Javice "engaged in a brazen scheme" to defraud the acquiring financial company by fabricating data to support lies she told in a bid to make tens of millions of dollars from the sale of her company.

"This arrest should warn entrepreneurs who lie to advance their businesses that their lies will catch up to them," he said.

According to a criminal complaint, Javice in 2017 founded TAPD Inc., which operated under the name Frank, to provide an online platform to simplify the process of filling out the Free Application for Federal Student Aid, a free federal government form used by students to apply for financial aid for college or graduate school.

In 2021, Javice sought to sell her company in her role as its chief executive to a large financial institution, the complaint said.

When JPMC sought to verify that her company had 4.25 million customers, Javice asked her company's director of engineering to create an artificially generated data set, but the individual declined, it said.

She then hired an outside data scientist to create the synthetic data set as she purchased for $105,000 on the open market real information for over 4.25 million students, the complaint said. But it added that the data she purchased did not contain all of the information she had told JPMC was maintained by Frank.

“Rather than help students, we allege that Ms. Javice engaged in an old school fraud.” Gurbir S. Grewal, director of the SECs Division of Enforcement

In a civil complaint filed by the Securities and Exchange Commission, the regulatory agency alleged that Javice made numerous misrepresentations about Frank's alleged millions of users to entice JPMC to purchase the now shuttered Frank.

Gurbir S. Grewal, director of the SEC’s Division of Enforcement, said in a release that "even non-public, early-stage companies must be truthful in their representations."

He added: "Rather than help students, we allege that Ms. Javice engaged in an old school fraud: she lied about Frank’s success in helping millions of students navigate the college financial aid process by making up data to support her claims, and then used that fake information to induce JPMC to enter into a $175 million transaction."

LARRY NEUMEISTER, with the Associated Press, helped contribute to this report.

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Technology

Alibaba to launch AI-powered glasses creating a Chinese rival to Meta

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Alibaba to launch AI-powered glasses creating a Chinese rival to Meta

Alibaba announced plans to release a pair of smart glasses powered by its AI models. The Quark AI Glasses are Alibaba’s first foray into the smart glasses product category.

Alibaba

Alibaba on Monday unveiled a pair of smart glasses powered by its artificial intelligence models, marking the Chinese firm’s first foray into the product category.

The e-commerce giant said the Quark AI Glasses will be launched in China by the end of 2025 with hardware powered by the firm’s Qwen large language model and its advanced AI assistant called Quark.

The Hangzhou, headquartered company is one of the leaders in China’s AI space, aggressively launching new models with capabilities that compete with Western counterparts like OpenAI.

Many tech companies see wearables, specifically glasses, as the next frontier in computing alongside the smartphone. Quark, which was updated this year, is currently available as an app in China. Alibaba is stepping into the hardware game as a way to distribute the app more widely.

The Quark AI Glasses are Alibaba’s answer to Meta’s smart glasses that were designed in collaboration with Ray-Ban. The Chinese tech giant will also now compete with Chinese consumer electronics player Xiaomi who this year released its own AI glasses.

Why Meta and Snap think AR glasses will be the future of computing

Alibaba said its glasses will support hands-free calling, music streaming, real-time language translation, and meeting transcription. The glasses also feature a built-in camera.

Alibaba owns a range of different services in China from mapping to an online travel agent. Its affiliate company Ant Group also runs the widely-used Alipay mobile service. Alibaba said users will be able to use a navigation service via the glasses, pay with Alipay and compare prices on Taobao, its China e-commerce platform.

The firm has yet to release other details such as the price and technical specifications.

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Environment

Tesla inks $16.5B deal with Samsung for HW6 chips, but still no HW3 solution

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Tesla inks .5B deal with Samsung for HW6 chips, but still no HW3 solution

Tesla will use Samsung for as a supplier for its self-driving computer’s next-gen hardware in a $16.5 billion deal, according to Tesla CEO Elon Musk.

But despite planning two generations ahead, the company still doesn’t have a solution to bring the promised full autonomy to hardware that it’s been promising that capability to since 2016.

Earlier today, Samsung announced a 22.8 trillion won ($16.5 billion) deal that would run through 2033. In that filing, Samsung did not name the customer, only that it is a “large global company”. Later, Bloomberg reported that the customer is Tesla, and Musk confirmed this on twitter. Then in his usual bravado, he stated that the deal is “likely much more than that.”

Musk also stated that the chips will be made in Samsung’s facility in Taylor, Texas. Manufacturing is likely to start in 2026.

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Samsung makes the chips for the self-driving computers in Tesla’s current vehicles, but the next generation will be made by TSMC, first in Taiwan and then later in Arizona. Then the next-next generation will be covered by this new Samsung deal.

The new deal is significant due to TSMC’s global dominance of chipmaking. Samsung has had significant unused capacity, so the Tesla deal is a big boost for the company’s chip foundry business.

Tesla has gone through several generations of chips, previous referred to as “HW,” standing for “hardware,” with a number indicating their generation. More recently, Tesla started referring to its chips with “AI” instead of “HW,” in order to incorporate the tech buzzword du jour.

Currently Tesla is on HW4/AI4, and TSMC will make HW5, then Samsung will make HW6 again.

These generations of hardware each get successively more capable, and can handle more data and thus theoretically become better at self-driving tasks.

Current Tesla HW4 vehicles cannot drive themselves, and are only capable of SAE level 2 operation, which requires an attentive driver behind the steering wheel (though Tesla’s solution does work better than most others). Tesla’s ‘Robotaxi’ system is currently operating in Austin without anyone in the driver’s seat, but has a “safety rider” who can take control of the vehicle, blurring the line somewhat on which SAE level it is operating at.

But what about HW3?

There’s a problem with the differentiation between these generations of hardware: ever since 2016, when Tesla was on version 2 of its hardware, it has promised full self-driving capability on all of its vehicles.

This was announced in a blog post on October 19, 2016, which has since been deleted from Tesla’s website but is still available through archive.org.

Tesla stated, at the time, that every single Tesla vehicle produced after that date had the hardware that would allow for full self-driving.

It eventually became apparent that HW2 would not be capable of full self-driving tasks, and Tesla upgraded to HW3, promising all HW2 customers that they would get a free upgrade to HW3 if they bought Tesla’s Full Self-Driving system, which has varied in price over time but once cost $15,000.

However, Tesla still tried to charge owners $1,500 for that hardware upgrade, even though Tesla sold cars claiming that they had all the hardware needed for full self-driving.

One owner had to take Tesla to court to get them to deliver on this promise, and Tesla is still charging $1,000 for this hardware owners already bought. And that’s not the only one, there are a number of other self-driving false advertising cases that have gone to court, arbitration, or reached a settlement.

Now, with the change from HW3 to HW4, we’re seeing indications of a similar run-around.

We’ve already seen differing FSD software versions based on which hardware level vehicles have, with HW3 vehicles getting updates later than HW4 vehicles do. On last week’s Q2 earnings call, Tesla CFO Vaibhav Taneja said:

What we want to do is get unsupervised done on hardware four first. Once it’s done, then we’ll go back and look at what we need to do with the hardware three cars. Like I said, the focus is first to get unsupervised out and then we’ll go back and see what more work we need to do.

“Unsupervised” is Tesla’s new name for actual full self-driving, which would allow a vehicle to drive without the supervision of someone in the driver’s seat. This as opposed to “supervised FSD,” a phrase Tesla started using after about a decade of promising full self-driving without delivering it.

Here, Taneja said that HW3 cars will eventually get FSD, but Tesla hasn’t really figured out the path to that, and it’s focusing on new cars first, then will go back around to see what needs to happen.

Previously, Musk had stated that Tesla “will have to upgrade people’s hardware 3 computer,” but more recently it has become apparent that Tesla really doesn’t have a plan for that upgrade. And Taneja’s comments suggest that Tesla will still try to wedge FSD onto HW3, despite previously admitting that the system is not capable of it.

The existence of future HW5 and even HW6 chips also suggest that current systems are not capable of full self-driving. If HW4 is FSD-capable, then why would Tesla need two more generations of chip in the next two years in order to do the tasks that it promised all of its cars could do a full decade prior?

So, much more than having no solution for HW3 cars (or even HW2 cars, some of which have gotten free upgrades, but others who have been charged $1,000 to upgrade to a computer they already paid for), does this mean that Tesla is going to kick the can further down the road, and eventually have no solution for HW4 and HW5 either?

And, when will we know about these solutions? Tesla has sold millions of vehicles with the promise of self-driving which will seemingly need an upgrade at some point. And many of those vehicles are old enough, at this point, to be retired, despite spending up to $15,000 on a piece of software that has never been delivered to them.

An HW6/AI6 computer will surely have all sorts of new whizbang capabilities, but we were promised those capabilities years ago, and they’re still not delivered yet.


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Politics

Democrats probe housing regulator over considering crypto in mortgages

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Democrats probe housing regulator over considering crypto in mortgages

Democrats probe housing regulator over considering crypto in mortgages

A group of Senate Democrats has probed Federal Housing Finance Agency director William Pulte over his order to propose how to consider crypto in mortgage applications.

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