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Neon Money Club creates a dating app based on credit scores

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While there are some advantages to discussing your funds before marriage, because it is usually cited as a leading reason behind divorce, your credit rating is a flawed measure of your financial health.


Score, a dating app launched by financial platform Neon Money Club, is aimed only at individuals with good or excellent credit, which, based on its founders, is meant to spark a discussion about finance. As we informed, the concept for the applying was initially born in 2023 at

In a press release, CEO Luke Bailey explained what led them to take an unconventional approach to cross-selling access to the applying to credit scores.

“A good financial situation often takes a back seat. Our mission at Neon Money Club is to instill financial awareness into the fabric of everyday life. To achieve this, we need to take the conversation to places where it is not usually discussed. Neon Money Club’s ‘Score’ is our first serious attempt at achieving this goal,” Bailey said.

“Score aims to elevate the conversation about financial health, which has remained stagnant for decades.”

While there are some advantages to discussing your funds before marriage, because it is usually cited as a leading reason behind divorce, your credit rating is a flawed measure of your financial health. Like most things in America, its application is usually biased against Black people. According to , Black and Latino people often have lower credit scores, and this can’t be separated from quite a few reports showing that blacks and Latinos have less real wealth than white Americans. Race is probably not consistently included on credit reports, however the aspects that influence credit scores often work against Black people.

Jay Moon, CEO of Credit Sesame, said that “while the credit system was designed to be blind, this data shows that Black and Latino Americans are being unfairly excluded from the system.”

Moon continued: “Creating equal credit opportunities is a critical first step toward eliminating racial disparities in our society. Whether it’s creating products specifically for these underserved groups or providing more ways to access credit and resources, the important thing is to make progress.”

To its credit, the app allows individuals who have been denied based on their creditworthiness to enhance their scores by sending them resources designed to enhance their financial knowledge and construct creditworthiness using Grow Credit. The app also doesn’t strictly limit users to tiers based on their credit scores; if a user has a credit rating of 640, they’ll still match a user with a credit rating of 800.

In addition, the credit rating is obtained through a soft check that doesn’t affect the user’s creditworthiness. According to Bailey, their use of credit scores is more aspirational than class-based, indicating that one can have a high income but a low credit rating. Bailey briefly described the method, saying, “Then these individuals are referred back to us to qualify for our products. Awareness must be raised in regards to the doors that will be opened with a good credit history.

But despite these concerns, Jackie Liao, CPO of Neon Money Club, says more activities are on the horizon to spark discussion about financial health.

“SCORE is just one of many implementations we are doing to ensure financial health because the table itself is boring and outdated,” Liao said.

“We start with love and we’re in good company. A recent Federal Reserve study found that “people with high credit scores are more likely to form committed relationships.”

With the launch of Neon Money Club in 2021, the corporate became the primary Black-owned technology company to launch a credit card with American Express. This card, the Cream Card, allows cardholders to convert their credit card points into money value, which they’ll then use to speculate within the stock market, operating similarly to a Stash debit card that applies to each purchase or investment made.


This article was originally published on : www.blackenterprise.com
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OpenAI accidentally deleted potential evidence in NY Times copyright lawsuit (update)

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OpenAI logo with spiraling pastel colors (Image Credits: Bryce Durbin / TechCrunch)

Lawyers for The New York Times and Daily News, who’re suing OpenAI for allegedly copying their work to coach artificial intelligence models without permission, say OpenAI engineers accidentally deleted potentially relevant data.

Earlier this fall, OpenAI agreed to offer two virtual machines in order that advisors to The Times and Daily News could seek for copyrighted content in their AI training kits. (Virtual machines are software-based computers that exist inside one other computer’s operating system and are sometimes used for testing purposes, backing up data, and running applications.) letterlawyers for the publishers say they and the experts they hired have spent greater than 150 hours since November 1 combing through OpenAI training data.

However, on November 14, OpenAI engineers deleted all publisher search data stored on one among the virtual machines, in keeping with the above-mentioned letter, which was filed late Wednesday in the U.S. District Court for the Southern District of New York.

OpenAI tried to get better the information – and was mostly successful. However, since the folder structure and filenames were “irretrievably” lost, the recovered data “cannot be used to determine where the news authors’ copied articles were used to build the (OpenAI) models,” the letter says.

“The news plaintiffs were forced to recreate their work from scratch, using significant man-hours and computer processing time,” lawyers for The Times and the Daily News wrote. “The plaintiffs of the news learned only yesterday that the recovered data was useless and that the work of experts and lawyers, which took a whole week, had to be repeated, which is why this supplementary letter is being filed today.”

The plaintiffs’ attorney explains that they don’t have any reason to consider the removal was intentional. However, they are saying the incident highlights that OpenAI “is in the best position to search its own datasets” for potentially infringing content using its own tools.

An OpenAI spokesman declined to make an announcement.

However, late Friday, November 22, OpenAI’s lawyer filed a motion answer to a letter sent Wednesday by attorneys to The Times and Daily News. In their response, OpenAI’s lawyers unequivocally denied that OpenAI had deleted any evidence and as a substitute suggested that the plaintiffs were guilty for a system misconfiguration that led to the technical problem.

“Plaintiffs requested that one of several machines provided by OpenAI be reconfigured to search training datasets,” OpenAI’s attorney wrote. “Implementation of plaintiffs’ requested change, however, resulted in the deletion of the folder structure and certain file names from one hard drive – a drive that was intended to serve as a temporary cache… In any event, there is no reason to believe that any files were actually lost.”

In this and other cases, OpenAI maintains that training models using publicly available data – including articles from The Times and Daily News – are permissible. In other words, by creating models like GPT-4o that “learn” from billions of examples of e-books, essays, and other materials to generate human-sounding text, OpenAI believes there isn’t a licensing or other payment required for examples – even when he makes money from these models.

With this in mind, OpenAI has signed licensing agreements with a growing number of recent publishers, including the Associated Press, Business Insider owner Axel Springer, the Financial Times, People’s parent company Dotdash Meredith and News Corp. OpenAI declined to offer the terms of those agreements. offers are public, but one among its content partners, Dotdash, is apparently earns at the least $16 million a 12 months.

OpenAI has not confirmed or denied that it has trained its AI systems on any copyrighted works without permission.

This article was originally published on : techcrunch.com
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Sequoia increases its 2020 fund by 25%

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Sequoia, venture capital, startups, VC

Sequoia says no going out, no problem.

According to data from the Silicon Valley enterprise capital giant, the worth of its Sequoia Capital US Venture XVII fund increased by 24.6% in June at the top of 12 months. Pitchbookwho analyzed data from the University of California Regents Fund.

Sequoia’s margin is notable since the fund hasn’t had any exits yet. This can be a positive development for the 2020 fund vintage, on condition that after the uncertain valuations of 2020 and 2021, this yr’s funds usually are not expected to perform well for any VC. The mismatch is probably going resulting from high AI valuations giving risks a way of an economic recovery that has yet to bear fruit in other sectors. Sequoia is an investor in high-growth artificial intelligence corporations including OpenAI, Glean and Harvey, amongst others.

Sequoia has raised over $800 million for Fund XVII, which closed in 2022.

This article was originally published on : techcrunch.com
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Revolut will introduce mortgage loans, smart ATMs and business lending products

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Revolutthe London-based fintech unicorn shared several elements of the corporate’s 2025 roadmap at a company event in London on Friday. One of the corporate’s important goals for next yr will be to introduce an AI-enabled assistant that will help its 50 million customers navigate financial apps, manage money and customize software.

Considering that artificial intelligence is at the middle of everyone’s attention, this move shouldn’t be surprising. But an AI assistant could actually help differentiate Revolut from traditional banking services, which have been slower to adapt to latest technologies.

When Revolut launched its app almost 10 years ago, many individuals discovered the concept of debit cards with real-time payment notifications. Users may lock the cardboard from the app.

Many banks now can help you control your card using your phone. However, they’re unlikely to supply AI features that might be useful yet.

In addition to the AI ​​assistant, Revolut announced that it will introduce branded ATMs to the market. These will end in money being spent (obviously), but in addition cards – which could encourage latest sign-ups.

Revolut said it plans so as to add facial recognition features to its ATMs in the longer term, which could help with authentication without using the same old card and PIN protocol. It will be interesting to see the way it implements this technology in a way that complies with European Union data protection regulations, which require explicit consent to make use of biometric data for identification purposes.

According to the corporate, Revolut ATMs will start appearing in Spain in early 2025.

Revolut has had a banking license in Europe for a while, which implies it may offer lending products to its retail customers. It already offers bank cards and personal loans in some countries.

Now the corporate plans to expand into mortgage loans – some of the popular lending products in Europe – with an emphasis on speed. If it’s an easy request, customers should generally expect immediate approval and a final offer inside one business day. However, mortgages are rarely easy, so it will be interesting to see if Revolut overpromises.

It appears that the mortgage market rollout will be slow. Revolut said it was starting in Lithuania, with Ireland and France expected to follow suit. Although all these premieres are scheduled for 2025.

Finally, Revolut intends to expand its business offering in Europe with its first loan products and savings accounts. In the payments space, it will enable business customers to supply “buy now, pay later” payment options.

Revolut will introduce Revolut kiosks with biometric payments especially for restaurants and stores.

If all these features seem overwhelming, it’s because Revolut is consistently committed to product development, rolling out latest features quickly. And 2025 looks no different.

This article was originally published on : techcrunch.com
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