Dropbox will shut down its password manager service by October 28, giving users until then to extract their data before permanent deletion. The discontinuation occurs in phases: Dropbox Passwords becomes view-only on August 28, the mobile app stops working September 11, and complete shutdown follows October 28. The company cited focusing on core product features as the reason for dropping the service, which launched in 2020 for paid users and expanded to all users in 2021.

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Google will soon cast an even wider net with its AI age estimation technology. From a report: After announcing plans to find and restrict underage users on YouTube, the company now says it will start detecting whether Google users based in the US are under 18. Age estimation is rolling out over the next few weeks and will only impact a "small set" of users to start, though Google plans on expanding it more widely. The company says it will use the information a user has searched for or the types of YouTube videos they watch to determine their age. Google first announced this initiative in February. If Google believes that a user is under 18, it will apply the same restrictions it places on users who proactively identify as underage.

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Journalist Jack Poulson accidentally discovered that Google had completely removed two of his articles from search results after someone exploited a vulnerability in the company's Refresh Outdated Content tool. The security flaw allowed malicious actors to de-list specific web pages by submitting URLs with altered capitalization to Google's recrawling system. When Google attempted to index these modified URLs, the system received 404 errors and subsequently removed all variations of the page from search results, including the original legitimate articles. The affected stories concerned tech CEO Delwin Maurice Blackman's 2021 arrest on felony domestic violence charges. In a statement to 404 Media, Google confirmed the vulnerability and said it had deployed a fix for the issue.

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BrianFagioli writes: AI might be the future of software development, but a new report suggests we're not quite ready to take our hands off the wheel. Veracode has released its 2025 GenAI Code Security Report, and the findings are pretty alarming. Out of 80 carefully designed coding tasks completed by over 100 large language models, nearly 45 percent of the AI-generated code contained security flaws. That's not a small number. These are not minor bugs, either. We're talking about real vulnerabilities, with many falling under the OWASP Top 10, which highlights the most dangerous issues in modern web applications. The report found that when AI was given the option to write secure or insecure code, it picked the wrong path nearly half the time.

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JPMorgan's proposed fees for customer data access would cost fintech startups between 60 and 100% of their annual revenue "just from one bank," according to a trade group representing the affected firms. Steve Boms, executive director of the Financial Data and Technology Association, said the charges would apply across all 30 companies in his group that received pricing notices from the nation's largest bank. The trade association, whose members include Plaid, Fiserv and Intuit, called JPMorgan's move a "pure and simple" attempt to kill competition that would "put third parties out of business altogether." The fees could take effect in September, ending more than a decade of free data access that fintech companies have used to build their business models. JPMorgan can now charge for data access after the Trump administration changed Consumer Financial Protection Bureau rules that previously prohibited such fees. The Financial Technology Association has taken the dispute to federal courts seeking to restore the Biden-era protections, while crypto trade groups have written directly to President Trump warning the fees would hurt digital currency companies.

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Manager engagement has plummeted to its lowest level since tracking began, with only 27% of managers globally reporting they feel involved and enthusiastic about their work, according to Gallup's annual State of the Global Workplace report. The 3-percentage-point decline from 2023 marks an unprecedented drop in manager satisfaction. Overall employee engagement fell to 21% in 2024 from 23% the previous year, representing only the second decline in 15 years of data collection. The last drop occurred during 2020 COVID lockdowns. Female managers experienced the steepest decline at 7 percentage points, while younger managers fell 5 points. Managers now oversee nearly three times as many employees as in 2017, yet only 44% have received managerial training.

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Mark Zuckerberg said Wednesday that Meta's AI systems have begun improving themselves over the past few months, calling the development "slow for now, but undeniable" and declaring that superintelligence is now within reach. The Meta CEO staked out the company's vision in a blog post for what he termed "personal superintelligence" -- AI that helps individuals achieve their goals rather than replacing human work entirely. Zuckerberg drew a sharp line between Meta's approach and that of other companies in the field, arguing that competitors want superintelligence "directed centrally towards automating all valuable work, and then humanity will live on a dole of its output." Meta's version would give people their own superintelligent assistants that know them deeply and help them create, experience adventures, and become better friends. Zuckerberg envisions smart glasses as the primary computing device, understanding context through what users see and hear throughout their day. The next few years represent a critical juncture, Zuckerberg wrote, calling the rest of this decade "the decisive period for determining the path this technology will take."

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An anonymous reader quotes a report from CNBC: Google executives are pushing employees to act with more urgency in their use of artificial intelligence as the company looks for ways to cut costs. That was the message at an all-hands meeting last week, featuring CEO Sundar Pichai and Brian Saluzzo, who runs the teams building the technical foundation for Google's flagship products. "Anytime you go through a period of extraordinary investment, you respond by adding a lot of headcount, right?" Pichai said, according to audio obtained by CNBC. "But in this AI moment, I think we have to accomplish more by taking advantage of this transition to drive higher productivity. [...] We are competing with other companies in the world," Pichai said at the meeting. "There will be companies which will become more efficient through this moment in terms of employee productivity, which is why I think it's important to focus on that." [...] "We are going to be going through a period of much higher investment and I think we have to be frugal with our resources, and I would strive to be more productive and efficient as a company," Pichai said, adding that he's "very optimistic" about how Google is doing. At the meeting, Saluzzo highlighted a number of tools the company is building for software engineers, or SWEs, to help "everybody at Google be more AI-savvy." "We feel the urgency to really quickly and urgently get AI into more of the coding workflows to address top needs so you see a much more rapid increase in velocity," Saluzzo said. Saluzzo said Google has a portfolio of AI products available to employees "so folks can go faster." He mentioned an internal site called "AI Savvy Google" which has courses, toolkits and learning sessions, including some for individual product areas. Google's engineering education team, which develops courses for internal and external use, partnered with DeepMind on a training called "Building with Gemini" that the company will start promoting soon, Saluzzo said. He also referenced a new internal AI coding tool called Cider that helps software engineers with various aspects of the development process. Since May, when the company first introduced Cider, 50% of users tap the service on a weekly basis, Saluzzo said. Regarding Google's internal AI tools, Saluzzo said that employees should "expect them to continuously get better" and that "they'll become a pretty integral part of most SWE work."

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Longtime Slashdot reader ndsurvivor shares a report from MIT: MIT physicists have performed an idealized version of one of the most famous experiments in quantum physics. Their findings demonstrate, with atomic-level precision, the dual yet evasive nature of light. They also happen to confirm that Albert Einstein was wrong about this particular quantum scenario. The experiment in question is the double-slit experiment, which was first performed in 1801 by the British scholar Thomas Young to show how light behaves as a wave. Today, with the formulation of quantum mechanics, the double-slit experiment is now known for its surprisingly simple demonstration of a head-scratching reality: that light exists as both a particle and a wave. Stranger still, this duality cannot be simultaneously observed. Seeing light in the form of particles instantly obscures its wave-like nature, and vice versa. [...] Now, MIT physicists have performed the most "idealized" version of the double-slit experiment to date. Their version strips down the experiment to its quantum essentials. They used individual atoms as slits, and used weak beams of light so that each atom scattered at most one photon. By preparing the atoms in different quantum states, they were able to modify what information the atoms obtained about the path of the photons. The researchers thus confirmed the predictions of quantum theory: The more information was obtained about the path (i.e. the particle nature) of light, the lower the visibility of the interference pattern was. They demonstrated what Einstein got wrong. Whenever an atom is "rustled" by a passing photon, the wave interference is diminished. "Einstein and Bohr would have never thought that this is possible, to perform such an experiment with single atoms and single photons," says Wolfgang Ketterle, the John D. MacArthur Professor of Physics and leader of the MIT team. "What we have done is an idealized Gedanken experiment." Their results appear in the journal Physical Review Letters.

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