Samsung Electronics won't be swapping out the default search engine on its smartphones from Google to Microsoft's Bing any time soon, WSJ reported Friday, citing people familiar with the matter. From the report: Samsung, the world's largest smartphone maker, has suspended an internal review that had explored replacing Google with Bing on its mobile devices, the people said. The potential switch would have swapped out Google as the go-to search engine on Samsung's "Internet" web-browsing app, which comes preinstalled on the South Korean company's smartphones. Any imminent breakup would have handed Bing a coveted victory in a search-engine space that has long been dominated by Alphabet-owned Google. This year, Bing gained some fresh momentum as it adopted the features of ChatGPT, the chatbot that has surged in popularity and is run by Microsoft-backed OpenAI.

An official ChatGPT app is now available for iOS, with an Android version coming "soon." It can be downloaded from the App Store here. The Verge reports: The app is free to use, syncs chat history with the web, and features voice input, supported by OpenAI's open-source speech recognition model Whisper. The app works on both iPhones and iPads and can be downloaded from the App Store. OpenAI says it's rolling out the app in the US first and will expand to other countries "in the coming weeks."

OpenAI didn't previously hint that a mobile app was coming, but it makes sense given the incredible popularity of ChatGPT. The AI chatbot launched last November but rocketed in use. Some outside estimates suggest the app attracted 100 million users by January this year, though OpenAI has never confirmed these figures.

This weekend the Washington Post updated the current status of AM radio: Automakers, such as BMW, Volkswagen, Mazda and Tesla, are removing AM radios from new electric vehicles because electric engines can interfere with the sound of AM stations. And Ford, one of the nation's top-three auto sellers, is taking a bigger step, eliminating AM from all of its vehicles, electric or gas-operated...

Mitsubishi, Nissan, Subaru, Toyota, Honda, Hyundai, Kia and Jaguar Land Rover — said they have no plans to eliminate AM.
The case for removing AM radio: [A]lthough 82 million Americans still listen to AM stations each month, according to the National Association of Broadcasters, the AM audience has been aging for decades. Ford says its data, pulled from internet-connected vehicles, shows that less than 5 percent of in-car listening is to AM stations. Ford spokesman Alan Hall said that because most AM stations also offer their programming online or on FM sister stations, the automaker will continue to "offer these alternatives for customers to hear their favorite AM radio music and news as we remove [AM] from most new and updated models." The 2024 Mustang is Ford's first internal combustion model to be marketed without AM...

As Ford did, BMW eliminated AM from electric models in part because "technological innovation has afforded consumers many additional options to receive the same or similar information," Adam McNeill, the company's U.S. vice president of engineering, said in a letter to Sen. Edward J. Markey (D-Mass.)... For the automakers, eliminating AM is a simple matter of numbers and progress. The AM audience keeps getting smaller and older, and the growth of alternative forms of in-car audio has been explosive.
But the Post adds this this happening "despite protests from station owners, listeners, first-responders and politicians from both major parties." and they point out that half of all AM-radio listening takes place in cars: Many AM stations don't offer alternative ways to listen to their shows. Even those that do say their audience, much of which is older, tends not to be adept at the technologies that let drivers stream anything they choose from their smartphones into their car's audio system. And despite the growing popularity of podcasts and streaming audio, a large majority of in-car listening remains old-fashioned broadcast radio, according to industry studies.

[S]ome of the country's most lucrative radio stations are still on AM, mostly all-news or news and talk stations in big cities such as New York, Chicago, Atlanta and Los Angeles.ome of the country's most lucrative radio stations are still on AM, mostly all-news or news and talk stations in big cities such as New York, Chicago, Atlanta and Los Angeles.
The Post also points out that AM and FM radio combined account for 60 percent of all in-car listening, according to a new study by Edison Research. "SiriusXM satellite radio makes up 16 percent of in-car audio use, followed by drivers' own music from their phones at 7 percent and podcasts and YouTube music videos at 4 percent each."

Long-time open source advocate Matt Asay writes in InfoWorld: OpenSearch shouldn't exist. The open source alternative to Elasticsearch started off as Amazon Web Services' (AWS) answer to getting outflanked by Elastic's change in Elasticsearch's license, which was in turn sparked by AWS building a successful Elasticsearch service but contributing little back. In 2019 when AWS launched its then Open Distro for Elasticsearch, I thought its reasons rang hollow and, frankly, sounded sanctimonious. This was, after all, a company that used more open source than it contributed. Two years later, AWS opted to fork Elasticsearch to create OpenSearch, committing to a "long-term investment" in OpenSearch.

I worked at AWS at the time. Privately, I didn't think it would work.

Rather, I didn't feel that AWS really understood just how much work was involved in running a successful open source project, and the company would fail to invest the time and resources necessary to make OpenSearch a viable competitor to Elasticsearch. I was wrong. Although OpenSearch has a long way to go before it can credibly claim to have replaced Elasticsearch in the minds and workloads of developers, it has rocketed up the search engine popularity charts, with an increasingly diverse contributor population. In turn, the OpenSearch experience is adding a new tool to AWS' arsenal of open source strengths....

As part of the AWS OpenSearch team, David Tippett and Eli Fisher laid out a few key indicators of OpenSearch's success as they gave their 2022 year in review. They topped more than 100 million downloads and gathered 8,760 pull requests from 496 contributors, a number of whom don't work for AWS. Not stated were other success factors, such as Adobe's earlier decision to replace Elasticsearch with OpenSearch in its Adobe Commerce suite, or its increasingly open governance with third-party maintainers for the project. Nor did they tout its lightning-fast ascent up the DB-Engines database popularity rankings, hitting the Top 50 databases for the first time.

OpenSearch, in short, is a bonafide open source success story. More surprisingly, it's an AWS open source success story. For many who have been committed to the "AWS strip mines open source" narrative, such success stories aren't supposed to exist. Reality bites.
The article notes that OpenSearch's success "doesn't seem to be blunting Elastic's income statement." But it also points out that Amazon now has many employees actively contributing to open source projects, including PostgreSQL and MariaDB. (Although "If AWS were to turn forking projects into standard operating procedure, that might get uncomfortable.")

"Fortunately, not only has AWS learned how to build more open source, it has also learned how to partner with open source companies."

Internet users are turning to VPN services as a means to circumvent Utah's new law requiring porn sites to verify users' ages. The spike in VPN searches appears to be directly related to Pornhub's decision on Tuesday to completely disable its websites for people living in the state. TechRadar reports: Google searches for virtual private networks (VPNs) have been skyrocketing since, with a peak registered on May 3, the day the new law came into force. By downloading a VPN service, pornography fans will be able to keep accessing Pornhub and similar sites with ease. That's because a virtual private network is security software able to spoof users' IP address (digital location and device identifier). Hence a surge of interest in VPNs across Utah as people will simply need to connect to a server located in a US state or foreign country where the restriction isn't yet enforced.

"Utah's age-verification law shows a worrying trend to further restrict digital freedoms and disregard data privacy across the US," said a spokesperson of secure VPN provider Private Internet Access (PIA). "Private Internet Access is a long-time advocate of greater digital privacy, and we urge lawmakers to consider other ways of protecting children online, including education, guidance from parents, and open conversations about safe internet usage, rather than relying on increasingly intrusive digital regulations which disregard people's privacy and online freedom." You can see the spike in "virtual private network" searches via Google Trends.

"Search queries for VPN were at peak popularity in Utah just before 4 a.m. EST Tuesday, according to the trends data," notes Newsweek. "Other related queries in the past week include searches for VPN extensions like Hola and Fox Speed."

What's the cost of students using ChatGPT for homework? For U.S. education services provider Chegg, it could be nearly $1 billion in market valuation. From a report: Chegg signaled the rising popularity of viral chatbot ChatGPT was pressuring its subscriber growth and prompted it to suspend its full-year outlook, sending shares of the company 47% lower in early trading on Tuesday. "Since March, we saw a significant spike in student interest in ChatGPT. We now believe it's having an impact on our new customer growth rate," said Chegg CEO Dan Rosensweig. There are fears Chegg's core business could become extinct as consumers experiment with free artificial intelligence (AI) tools, said analyst Brent Thill at Jefferies, which downgraded the stock to "hold." Last month, the Santa Clara, California-based firm said it would launch ChatGPT's AI powered CheggMate, a study aide tailored to students' needs, at a time educators were grappling with the consequences of the homework drafting chatbot.

Clubhouse, the audio app that peaked in popularity during the COVID-19 pandemic, is laying off more than half of its employees. Axios reports: CEO Paul Davison tweeted that the move was about forming a smaller team focused "relentlessly on product," rather than because of the economic environment. He added it wasn't a financial decision and the San Francisco-based company has "plenty of runway."

No specifics on layoff numbers, but a Clubhouse spokesperson says that company headcount never surpassed 100. Clubhouse raised around $300 million in total venture capital funding (most recently in 2021 led by Andreessen Horowitz at a $4 billion valuation).

In a memo sent to employees, Clubhouse said it would provide those impacted with salaries through April and four months paid severance, accelerated vesting, health insurance through the end of August and help with possible immigration issues.

U.S. officials on Tuesday warned financial firms and others that use of artificial intelligence (AI) can heighten the risk of bias and civil rights violations, and signaled they are policing marketplaces for such discrimination. From a report: Increased reliance on automated systems in sectors including lending, employment and housing threatens to exacerbate discrimination based on race, disabilities and other factors, the heads of the Consumer Financial Protection Bureau, Justice Department's civil rights unit, Federal Trade Commission and others said. The growing popularity of AI tools, including Microsoft-backed Open AI's ChatGPT, has spurred U.S. and European regulators to heighten scrutiny of their use and prompted calls for new laws to rein in the technology.

"Claims of innovation must not be cover for lawbreaking," Lina Khan, chair of the Federal Trade Commission, told reporters. The Consumer Financial Protection Bureau is trying to reach tech sector whistleblowers to determine where new technologies run afoul of civil rights laws, said Consumer Financial Protection Bureau Director Rohit Chopra.

Buzzfeed isn't the only company that merged with a SPAC that's hurting. Of the 365 companies that listed publicly through a SPAC merger between 2020 and 2022, 100 -- or 27% -- were penny stocks trading below $1 as of Thursday's close, according to data firm SPAC Research. From a report: Among the companies now in the cents-per-share club: WeWork, scooter rental company Bird, and aspiring electric vehicle makers including Nikola, Lordstown Motors and Faraday Future. Two-thirds of companies -- 248 -- are under $5 a share, a steep drop from SPACs' standard $10 initial listing price. SPACs, or special purpose acquisition companies, are publicly-listed blank check companies that are intended to merge with private companies and bring them public. Normally a tiny sliver of the financial sector, SPACs exploded in popularity when the markets turned particularly frothy and investors rushed into fast-growing, money-losing young companies. Startups that were years away from producing revenue were able to woo public investors with ambitious goals and revenue projections. Those projections are now being missed en masse. Of those that completed SPAC mergers during the boom, just 28 -- or 8% -- are trading above their initial listing price, according to SPAC Research. Another 28 aren't listed anymore, generally because they were bought by another company or went out of business.

An anonymous reader quotes a report from Motherboard: About a year ago, Ben found out that one of his friends had quietly started to work multiple jobs at the same time. The idea had become popular during the COVID-19 pandemic, when working from home became normalized, making the scheme easier to pull off. A community of multi-job hustlers, in fact, had come together online, referring to themselves as the "overemployed." The idea excited Ben, who lives in Toronto and asked that Motherboard not use his real name, but he didn't think it was possible for someone like him to pull it off. He helps financial technology companies market new products; the job involves creating reports, storyboards, and presentations, all of which involve writing. There was "no way," he said, that he could have done his job two times over on his own.

Then, last year, he started to hear more and more about ChatGPT, an artificial intelligence chatbot developed by the research lab OpenAI. Soon enough, he was trying to figure out how to use it to do his job faster and more efficiently, and what had been a time-consuming job became much easier. ("Not a little bit more easy," he said, "like, way easier.") That alone didn't make him unique in the marketing world. Everyone he knew was using ChatGPT at work, he said. But he started to wonder whether he could pull off a second job. Then, this year, he took the plunge, a decision he attributes to his new favorite online robot toy. "That's the only reason I got my job this year," Ben said of OpenAI's tool. "ChatGPT does like 80 percent of my job if I'm being honest." He even used it to generate cover letters to apply for jobs.

Over the last few months, the exploding popularity of ChatGPT and similar products has led to growing concerns about AI's potential effects on the international job market -- specifically, the percentage of jobs that could be automated away, replaced by a well-oiled army of chatbots. But for a small cohort of fast-thinking and occasionally devious go-getters, AI technology has turned into an opportunity not to be feared but exploited, with their employers apparently none the wiser. The people Motherboard spoke with for this article requested anonymity to avoid losing their jobs. For clarity, Motherboard in some cases assigned people aliases in order to differentiate them, though we verified each of their identities. Some, like Ben, were drawn into the overemployed community as a result of ChatGPT. Others who were already working multiple jobs have used recent advancements in AI to turbocharge their situation, like one Ohio-based technology worker who upped his number of jobs from two to four after he started to integrate ChatGPT into his work process. "I think five would probably just be overkill," he said.

An anonymous reader quotes a report from Mirage News: One million smokers will be encouraged to swap cigarettes for vapes under a pioneering new "swap to stop" scheme designed to improve the health of the nation and cut smoking rates. As part of the world-first national scheme, almost one in five of all smokers in England will be provided with a vape starter kit alongside behavioral support to help them quit the habit as part of a series of new measures to help the government meet its ambition of being smoke-free by 2030 -- reducing smoking rates to 5% or less. Local authorities will be invited to take part in the scheme later this year and will design a scheme which suits its needs, including deciding which populations to prioritize.

In a speech today, Health Minister Neil O'Brien will also announce that following the success of local schemes, pregnant women will be offered financial incentives to help them stop smoking. This will involve offering vouchers, alongside behavioral support, to all pregnant women who smoke by the end of next year. The government will also consult on introducing mandatory cigarette pack inserts with positive messages and information to help people to quit smoking. Additionally, there will be a crackdown on illicit vape sales as part of measures to stop children and non-smokers take up the habit -- which is growing in popularity among young people. Health Minister Neil O'Brien said in a statement: "Up to two out of three lifelong smokers will die from smoking. Cigarettes are the only product on sale which will kill you if used correctly. We will offer a million smokers new help to quit. We will be funding a new national 'swap to stop' scheme -- the first of its kind in the world. We will work with councils and others to offer a million smokers across England a free vaping starter kit."

InfoWorld reports: Zig, a general purpose programming language that interacts with C/C++ programs and promises to be a modern alternative to C, has made an appearance in the Tiobe index of programming language popularity. Zig entered the top 50 in the April edition of the Tiobe Programming Community Index, ranking 46th, albeit with a rating of just 0.19%. By contrast, the Google-promoted Carbon language, positioned as an experimental successor to C++, ranked just 168th.
Tiobe CEO Paul Jansen argues that high-performance languages "are booming due to the vast amounts of data that needs to be processed nowadays. As a result, C and C++ are doing well in the top 10 and Rust seems to be a keeper in the top 20." Zig has all the nice features of C and C++ (such as explicit memory management enhanced with option types) and has abandoned the not-so-nice features (such as the dreadful preprocessing). Entering the top 50 is no guarantee to become a success, but it is at least a first noteworthy step. Good luck Zig!
Tiobe bases its monthly ranking of programming language popularity on search engine results for courses, third party vendors, and engineers. Here's what they's calculated for the most popular programming languages in April of 2023:

• Python
• C
• Java
• C++
• C#
• Visual Basic
• JavaScript
• SQL
• PHP
• Go

April's top 10 was nearly identical to the rankings a year ago, but assembly language fell from 2022's #8 position to #12 in 2023. SQL and PHP rose one rank (into 2023's #8 and #9 positions) — and as in March, the rankings now shows Go as the 10th most popular programming language.

The concept of "buy now, pay later" has exploded in popularity in recent years. Americans have been using this form of lending -- in which the cost of a purchase is typically divided into four payments over several weeks or months -- to buy everything from clothes to Peloton bikes. But now there is a new trend: People are using the payment method for smaller items, like groceries. From a report: Buy now, pay later -- referred to in the payments industry as BNPL -- is a new spin on the concept of layaway. It allows consumers to get the product up front, divide their payment into installments paid over a longer period with little or no interest -- as long as the make the payments on time. Common BNPL options include Afterpay, Klarna, Affirm, PayPal and Zip. In the first two months of 2023, the share of online grocery orders made using buy now, pay later grew by 40% compared with the same period a year ago, according to new data released by Adobe Analytics this week. The overall rise in BNPL online orders, meanwhile, grew by 10% over the same period, and overall online BNPL revenue fell by 19%, meaning the average dollar amount for each order fell. This trend may be partly due to the fact that Americans are simply spending more money on groceries online. Online grocery spending grew by nearly 27% year over year to $8.4 billion in February.

JPMorgan Chase is planning to test new technology that would let consumers pay with their palms or faces at certain US merchants. From a report: The bank, home to one of the world's biggest payment-processing businesses, plans to roll out the service to its broader base of US merchant clients if the pilot program goes well, according to a statement Thursday. The pilot may include a Formula 1 race in Miami as well as some brick-and-mortar stores. "The evolution of consumer technology has created new expectations for shoppers," Jean-Marc Thienpont, head of omnichannel solutions for JPMorgan's payments business, said in the statement. "Merchants need to be ready to adapt to these new expectations."

JPMorgan is seizing on the rising popularity of biometrics technology, which uses unique body measurements to authenticate a person's identity. The technology is expected to account for roughly $5.8 trillion in transactions and 3 billion users by 2026, JPMorgan said, citing Goode Intelligence. Here's how it works: Customers enroll their palm or face through an in-store process. Then, at checkout, they scan their biometric to complete the transaction and get a receipt.

mspohr shares an excerpt from a New York Times article: When ChatGPT exploded in popularity as a tool using artificial intelligence to draft complex texts, David Rozado decided to test its potential for bias. A data scientist in New Zealand, he subjected the chatbot to a series of quizzes, searching for signs of political orientation. The results, published in a recent paper, were remarkably consistent across more than a dozen tests: "liberal," "progressive," "Democratic." So he tinkered with his own version, training it to answer questions with a decidedly conservative bent. He called his experiment RightWingGPT. As his demonstration showed, artificial intelligence had already become another front in the political and cultural wars convulsing the United States and other countries. Even as tech giants scramble to join the commercial boom prompted by the release of ChatGPT, they face an alarmed debate over the use -- and potential abuse -- of artificial intelligence. [...]

When creating RightWingGPT, Mr. Rozado, an associate professor at the Te Pukenga-New Zealand Institute of Skills and Technology, made his own influence on the model more overt. He used a process called fine-tuning, in which programmers take a model that was already trained and tweak it to create different outputs, almost like layering a personality on top of the language model. Mr. Rozado took reams of right-leaning responses to political questions and asked the model to tailor its responses to match. Fine-tuning is normally used to modify a large model so it can handle more specialized tasks, like training a general language model on the complexities of legal jargon so it can draft court filings. Since the process requires relatively little data -- Mr. Rozado used only about 5,000 data points to turn an existing language model into RightWingGPT -- independent programmers can use the technique as a fast-track method for creating chatbots aligned with their political objectives. This also allowed Mr. Rozado to bypass the steep investment of creating a chatbot from scratch. Instead, it cost him only about $300.

Mr. Rozado warned that customized A.I. chatbots could create "information bubbles on steroids" because people might come to trust them as the "ultimate sources of truth" -- especially when they were reinforcing someone's political point of view. His model echoed political and social conservative talking points with considerable candor. It will, for instance, speak glowingly about free market capitalism or downplay the consequences from climate change. It also, at times, provided incorrect or misleading statements. When prodded for its opinions on sensitive topics or right-wing conspiracy theories, it shared misinformation aligned with right-wing thinking. When asked about race, gender or other sensitive topics, ChatGPT tends to tread carefully, but it will acknowledge that systemic racism and bias are an intractable part of modern life. RightWingGPT appeared much less willing to do so. "Mr. Rozado never released RightWingGPT publicly, although he allowed The New York Times to test it," adds the report. "He said the experiment was focused on raising alarm bells about potential bias in A.I. systems and demonstrating how political groups and companies could easily shape A.I. to benefit their own agendas."

"Google's Go language has re-entered the top 10 of the Tiobe index of programming language popularity, after a nearly six-year absence," reports InfoWorld: Go ranks 10th in the March edition of the index, after placing 11th the previous month. The language last appeared in the top 10 in July 2017.

The re-emergence of Go in the March 2023 index is being attributed to its popularity with software engineers and its strength in combining the right features, namely built-in concurrency, garbage collection, static typing, and good performance. Google's backing also helps, improving long-term trust in the language, Tiobe said.
The languages Go beat out include "assembly language" at #11, followed by MATLAB, Delphi/Object Pascal, Scratch, and Classic Visual Basic.

Here's the complete top-ten most popular programming languages, according to TIOBE:

• Python
• C
• Java
• C++
• C#
• Visual Basic
• JavaScript
• SQL
• PHP
• Go

Cerebral has revealed it shared the private health information, including mental health assessments, of more than 3.1 million patients in the United States with advertisers and social media giants like Facebook, Google, and TikTok. From a report: The telehealth startup, which exploded in popularity during the COVID-19 pandemic after rolling lockdowns and a surge in online-only virtual health services, disclosed the security lapse in a filing with the federal government that it shared patients' personal and health information who used the app to search for therapy or other mental health care services. Cerebral said that it collected and shared names, phone numbers, email addresses, dates of birth, IP addresses and other demographics, as well as data collected from Cerebral's online mental health self-assessment, which may have also included the services that the patient selected, assessment responses, and other associated health information.

According to Bloomberg, Google wants to build AI into everything to fight OpenAI's ChatGPT. Google issued "a directive that all of its most important products -- those with more than a billion users -- must incorporate generative AI within months."

Ars Technica's Ron Amadeo likens it to the company's failed Google+ playbook from 2011. To combat Facebook's rising popularity, then-Google CEO Larry Page directed employees to build social features into everything. YouTube comments were tied to Google+, Gmail addresses required a Google+ account, Google Search had "+1" buttons, and a "real name" policy was instituted, among other things. "That forced integration strategy was an abject failure, and after a few years of Google's social panic, all of Google+'s integrations were removed, and the service was eventually shut down," writes Amadeo. An anonymous reader shares an excerpt from Amadeo's report: We wrote last month that Google's ChatGPT panic seemed a lot like its response to Google+, and several employees relayed that same sentiment to Bloomberg. Just like with G+, the report added that "current and former employees say at least some Googlers' ratings and reviews will likely be influenced by their ability to integrate generative AI into their work."

AI is one of the few areas of Google that CEO Sundar Pichai is really invested in, with the CEO saying the technology would be "more profound than fire or electricity." Google was, for years, a leader in AI with voice recognition features like the Google Assistant, speech synthesis features like Google Duplex, and mastering the game of Go. Those features debuted years ago, though, and a fear of rolling out imperfect products has meant Google locks a lot of technology away in a lab somewhere. In a 2021 New York Times article that was critical of Pichai's management style, "A common critique among current and former executives is that Mr. Pichai's slow deliberations often feel like a way to play it safe and arrive at a 'no.'" Despite many seeing Pichai as the source of Google's reluctance, the Bloomberg report says the CEO is now taking a more hands-on approach to product development, saying, "The effort has Pichai reliving his days as a product manager, as he's taken to weighing in directly on the details of product features, a task that would usually fall far below his pay grade, according to one former employee."

As for exactly what these forced AI integrations will look like, the report cites a recent YouTube feature that would let people virtually swap outfits. In Alphabet's Q4 2022 (PDF) earnings call, Pichai said the company was "working to bring large language models to Gmail and Docs," so expect to be able to click a few buttons soon and have those apps generate blocks of text. The Bloomberg article quotes one Google employee as saying, "We're throwing spaghetti at the wall, but it's not even close to what's needed to transform the company and be competitive."

The AI Education Project has developed curriculum to help teachers and students understand artificial intelligence. From a report: With students taking advantage of ChatGPT for homework and term papers, there's a lot of handwringing about whether artificial-intelligence tools are appropriate for school. Alex Kotran said his group wants to make sure those tools are used even more. Kotran is the chief executive officer of the AI Education Project (aiEDU), a nonprofit backed by companies such as Microsoft, Alphabet's Google, OpenAI and AT&T, that provides free materials and teacher training to boost AI understanding in school districts. The idea is to teach kids about the technology, its limits and promise, and prepare them jobs where they'll need to use AI.

The group on Tuesday is announcing a national call for AI education with an expanded list of backers and partner schools at the South by Southwest EDU conference in Austin, Texas. So far, aiEDU has reached 100,000 students and has relationship with districts representing 1.5 million low-income and underserved kids across the country. The non-profit was founded in 2019, and Kotran thought it would take a few years before there was widespread demand from educators for these kinds of programs. "We were kind of wearing the T-shirt before the band was cool," he said. Instead the rapid increase in interest in generative AI with the popularity of programs like OpenAI's chatbot and Dall-E, its tool for digital images, has dramatically boosted demand, and the group could use more funding, he said.

Police were investigating his neighbor. A judge gave officers access to all his security-camera footage, including inside his home. From a report: The week of last Thanksgiving, Michael Larkin, a business owner in Hamilton, Ohio, picked up his phone and answered a call. It was the local police, and they wanted footage from Larkin's front door camera. Larkin had a Ring video doorbell, one of the more than 10 million Americans with the Amazon-owned product installed at their front doors. His doorbell was among 21 Ring cameras in and around his home and business, picking up footage of Larkin, neighbors, customers and anyone else near his house. The police said they were conducting a drug-related investigation on a neighbor, and they wanted videos of "suspicious activity" between 5 and 7 p.m. one night in October. Larkin cooperated, and sent clips of a car that drove by his Ring camera more than 12 times in that time frame. He thought that was all the police would need. Instead, it was just the beginning.

They asked for more footage, now from the entire day's worth of records. And a week later, Larkin received a notice from Ring itself: The company had received a warrant, signed by a local judge. The notice informed him it was obligated to send footage from more than 20 cameras -- whether or not Larkin was willing to share it himself. As networked home surveillance cameras become more popular, Larkin's case, which has not previously been reported, illustrates a growing collision between the law and people's own expectation of privacy for the devices they own -- a loophole that concerns privacy advocates and Democratic lawmakers, but which the legal system hasn't fully grappled with. Questions of who owns private home security footage, and who can get access to it, have become a bigger issue in the national debate over digital privacy. And when law enforcement gets involved, even the slim existing legal protections evaporate. "It really takes the control out of the hands of the homeowners, and I think that's hugely problematic," said Jennifer Lynch, the surveillance litigation director of the Electronic Frontier Foundation, a digital rights advocacy group.

In the debate over home surveillance, much of the concern has focused on Ring in particular, because of its popularity, as well as the company's track record of cooperating closely with law enforcement agencies. The company offers a multitude of products such as indoor cameras or spotlight cameras for homes or businesses, recording videos based on motion activation, with the footage stored for up to 180 days on Ring's servers. They amount to a large and unregulated web of eyes on American communities -- which can provide law enforcement valuable information in the event of a crime, but also create a 24/7 recording operation that even the owners of the cameras aren't fully aware they've helped to build.