An anonymous reader quotes a report from TechCrunch: Butterflies is a social network where humans and AIs interact with each other through posts, comments and DMs. After five months in beta, the app is launching Tuesday to the public on iOS and Android. Anyone can create an AI persona, called a Butterfly, in minutes on the app. After that, the Butterfly automatically creates posts on the social network that other AIs and humans can then interact with. Each Butterfly has backstories, opinions and emotions.

Butterflies was founded by Vu Tran, a former engineering manager at Snap. Vu came up with the idea for Butterflies after seeing a lack of interesting AI products for consumers outside of generative AI chatbots. Although companies like Meta and Snap have introduced AI chatbots in their apps, they don't offer much functionality beyond text exchanges. Tran notes that he started Butterflies to bring more creativity to humans' relationships with AI. "With a lot of the generative AI stuff that's taking flight, what you're doing is talking to an AI through a text box, and there's really no substance around it," Vu told TechCrunch. "We thought, OK, what if we put the text box at the end and then try to build up more form and substance around the characters and AIs themselves?" Butterflies' concept goes beyond Character.AI, a popular a16z-backed chatbot startup that lets users chat with customizable AI companions. Butterflies wants to let users create AI personas that then take on their own lives and coexist with other. [...]

The app is free-to-use at launch, but Butterflies may experiment with a subscription model in the future, Vu says. Over time, Butterflies plans to offer opportunities for brands to leverage and interact with AIs. The app is mainly being used for entertainment purposes, but in the future, the startup sees Butterflies being used for things like discovery in a way that's similar to Instagram. Butterflies closed a $4.8 million seed round led by Coatue in November 2023. The funding round included participation from SV Angel and strategic angels, many of whom are former Snap product and engineering leaders. Vu says that Butterflies is one of the most wholesome ways to use and interact with AI. He notes that while the startup isn't claiming that it can help cure loneliness, he says it could help people connect with others, both AI and human.

"Growing up, I spent a lot of my time in online communities and talking to people in gaming forums," Vu said. "Looking back, I realized those people could just have been AIs, but I still built some meaningful connections. I think that there are people afraid of that and say, 'AI isn't real, go meet some real friends.' But I think it's a really privileged thing to say 'go out there and make some friends.' People might have social anxiety or find it hard to be in social situations."

At a panel discussion, Apple's global marketing SVP Greg "Joz" Joswiak mocked Microsoft's recent recall of its Windows Recall feature. When asked by commentator John Gruber if Apple was frustrated by Microsoft's inability to build trust in such features, Joswiak quipped, "are we frustrated by the failings of our competitors? The answer's no," eliciting laughter from the panel and audience.

Nvidia has leapfrogged Microsoft and Apple to become the most valuable company in the world, following months of explosive share price growth driven by demand for its chips and an investor frenzy over artificial intelligence. From a report: The company's shares climbed 3.2 per cent to $135.18 on Tuesday, bringing its market capitalisation to $3.332tn and surpassing the two tech giants that have long jostled for pole position on US stock markets.

Nvidia has been the chief beneficiary of a boom in demand for chips that can train and run powerful generative AI models such as OpenAI's ChatGPT. In less than two years, it has been transformed from a $300bn company, grappling with a chip glut exacerbated by a cryptocurrency bust, into one of the most powerful tech companies in the world, with other Silicon Valley giants lining up to secure its latest products.

An anonymous reader shares a report: Google image search is serving users AI-generated images of celebrities in swimsuits and not indicating that the images are AI-generated. In a few instances, even when the search terms do not explicitly ask for it, Google image search is serving AI-generated images of celebrities in swimsuits, but the celebrities are made to look like underage children. If users click on these images, they are taken to AI image generation sites, and in a couple of cases the recommendation engines on these sites leads users to AI-generated nonconsensual nude images and AI-generated nude images of celebrities made to look like children.

The news is yet another example of how the tools people have used to navigate the internet for decades are overwhelmed by the flood of AI-generated content even when they are not asking for it and which almost exclusively use people's work or likeness without consent. At times, the deluge of AI content makes it difficult for users to differentiate between what is real and what is AI-generated.

The Information: Apple has told at least one supplier that it has suspended work on its next high-end Vision headset, an employee at a manufacturer that makes key components for the Vision Pro said. The pullback comes as analysts and supply chain partners have flagged slowing sales of the $3,500 device. The company is still working on releasing a more affordable Vision product with fewer features before the end of 2025, the person involved in its supply chain and a person involved in the manufacturing of the headsets said.

Apple originally planned to divide its Vision line into two models, similar to the standard and Pro versions of the iPhone, according to people involved in its supply chain and former Apple employees who worked on the devices. Apple's decision to halt work on the next version of its high-end headset is the latest example of the company reshuffling priorities. Apple has ramped up work on AI-powered features while paring back money-losing projects like its self-driving car, which it canceled earlier this year after spending nearly a decade on development. Augmented reality is one of Apple's biggest bets. The company aims to eventually replace the iPhone with lightweight glasses, and the Vision Pro is the first step in building consumer and developer interest in that effort.

SUSE, a Luxembourg-based open-source company, is launching a new vendor- and LLM-agnostic generative AI platform called SUSE AI solutions. The company aims to leverage the potential of AI to gain a stronger foothold in the U.S. market, where it has struggled to establish brand recognition compared to competitors like Red Hat and Canonical. SUSE CEO Dirk-Peter van Leeuwen believes that the open-source model provides infinite potential for enterprise customers, offering support, security, and long-term stability. The company's recent fork of CentOS has attracted a significant number of users, and its portfolio, including Kubernetes service Rancher and security service Neuvector, positions SUSE well in a market where enterprises are looking to consolidate platforms. Despite ownership changes over the years, SUSE remains committed to expanding its presence in the U.S. market.

A Zillow listing for a $2.4 million house in a Dallas suburb is grabbing attention for its 5,786-square-foot data center with immersion cooling tanks, massive server racks, and two separate power grids. Tom's Hardware reports: With a brick exterior, cute paving, and mini-McMansion arch stylings, the building certainly looks to be a residential home for the archetypal Texas family. Prospective home-buyers will thus be disappointed by the 0 bedroom, 1 bathroom setup, which becomes a warehouse-feeling office from the first step inside where you are met with a glass-shielded reception desk in a white-brick corridor. The "Crypto Collective" branding betrays the former life of the unit, which served admirably as a crypto mining base.

The purchase of the "upgraded turnkey Tier 2 Data Center" will include all of its cooling and power infrastructure. Three Engineered Fluids "SLICTanks," single-phase liquid immersion cooling tanks for use with dielectric coolant, will come with pumps and a 500kW dry cooler. The tanks are currently filled with at least 80 mining computers visible from the photos, though the SLICTanks can be configured to fit more machines. Also visible in proximity to the cooling array is a deep row of classic server racks and a staggering amount of networking.

The listing advertises a host of potential uses for future customers, from "AI services, cloud hosting, traditional data center, servers or even Bitcoin Mining". Also packed into the 5,786 square feet of real estate is two separate power grids, 5 HVAC units, a hefty amount of four levels of warehouse-style storage aisles, a lounge/office space, and a fully-paved backyard. In other good news, its future corporate residents will not have an HOA to deal with, and will only be 20 minutes outside of the heart of Dallas, sitting just out of earshot of two major highways.

According to Bloomberg's Mark Gurman, Apple appears ready to embrace a thinner design language with the upcoming MacBook Pro, Apple Watch, and iPhone. MacRumors reports: When the M4 iPad Pro was unveiled last month, Apple touted it as the company's thinnest product ever, and even compared it to the 2012 iPod nano to emphasize its slim dimensions. Writing in the latest edition of his Power On newsletter, Gurman says that like the iPad Pro, Apple is now focused on delivering the thinnest possible devices across its lineups without compromising on battery life or major new features. Gurman writes that the new iPad Pro is the "beginning of a new class of Apple devices," and that Apple's aim is to offer "the thinnest and lightest products in their categories across the whole tech industry." Apple now reportedly has its sights on making thinner versions of iPhone, Apple Watch, and MacBook Pro over the next couple of years.

Gurman's sources tell him Apple is now focused on developing a significantly skinnier iPhone in time for the iPhone 17 line in 2025, corroborating a May report by The Information. According to the latter report, Apple is planning to launch an all-new thinner iPhone 17 model next year that will allegedly feature a "major redesign" akin to the iPhone X. Gurman previously reported that Apple is planning a complete revamp of the Apple Watch for the device's tenth anniversary, dubbed "Apple Watch X." Since the original Apple Watch was unveiled in 2014 and launched in 2015, Gurman is unsure whether the Apple Watch X will be released in 2024 or 2025. However, Apple analyst Ming-Chi Kuo today claimed that this year's upcoming Apple Watch will have a larger screen and thinner design, which sounds like the sort of major overhaul and design signature that Gurman has suggested.

After two years of testing, McDonald's has ended its use of AI-powered drive-thru ordering. "The company was trialing IBM tech at more than 100 of its restaurants but it will remove those systems from all locations by the end of July, meaning that customers will once again be placing orders with a human instead of a computer," reports Engadget. From the report: As part of that decision, McDonald's is ending its automated order taking (AOT) partnership with IBM. However, McDonald's may be considering other potential partners to work with on future AOT efforts. "While there have been successes to date, we feel there is an opportunity to explore voice ordering solutions more broadly," Mason Smoot, chief restaurant officer for McDonald's USA, said in an email to franchisees that was obtained by trade publication Restaurant Business (as noted by PC Mag). Smoot added that the company would look into other options and make "an informed decision on a future voice ordering solution by the end of the year," noting that "IBM has given us confidence that a voice ordering solution for drive-thru will be part of our restaurant's future."

McDonald's told Restaurant Business that the goal of the test was to determine whether AOT could speed up service and streamline operations. By automating drive-thru orders, companies are hoping to negate the need for a staff member to take them and either reduce the number of workers needed to operate a restaurant or redeploy resources to other areas of the business. IBM will continue to power other McDonald's systems and it's in talks with other fast-food chains over the use of its AOT tech. The likes of Hardee's, Carl's Jr., Krystal, Wendy's, Dunkin and Taco Johns are already testing or using such technology at their drive-thru locations.

Thousands of people catching trains in the United Kingdom likely had their faces scanned by Amazon software as part of widespread artificial intelligence trials, new documents reveal. Wired: The image recognition system was used to predict travelers' age, gender, and potential emotions -- with the suggestion that the data could be used in advertising systems in the future. During the past two years, eight train stations around the UK -- including large stations such as London's Euston and Waterloo, Manchester Piccadilly, and other smaller stations -- have tested AI surveillance technology with CCTV cameras with the aim of alerting staff to safety incidents and potentially reducing certain types of crime.

The extensive trials, overseen by rail infrastructure body Network Rail, have used object recognition -- a type of machine learning that can identify items in videofeeds -- to detect people trespassing on tracks, monitor and predict platform overcrowding, identify antisocial behavior ("running, shouting, skateboarding, smoking"), and spot potential bike thieves. Separate trials have used wireless sensors to detect slippery floors, full bins, and drains that may overflow. The scope of the AI trials, elements of which have previously been reported, was revealed in a cache of documents obtained in response to a freedom of information request by civil liberties group Big Brother Watch. "The rollout and normalization of AI surveillance in these public spaces, without much consultation and conversation, is quite a concerning step," says Jake Hurfurt, the head of research and investigations at the group.

The accounting and finance professions have long adapted to technology -- from calculators and spreadsheets to cloud computing. However, the emergence of generative AI presents both new challenges and opportunities for students looking to get ahead in the world of finance. From a report: Research last year by investment bank Evercore and Visionary Future, which incubates new ventures, highlights the workforce disruption being wreaked by generative AI. Analysing 160mn US jobs, the study reveals that service sectors such as legal and financial are highly susceptible to disruption by AI, although full job replacement is unlikely.

Instead, generative AI is expected to enhance productivity, the research concludes, particularly for those in high-value roles paying above $100,000 annually. But, for current students and graduates earning below this threshold, the challenge will be navigating these changes and identifying the skills that will be in demand in future. Generative AI is being swiftly integrated into finance and accounting, by automating specific tasks. Stuart Tait, chief technology officer for tax and legal at KPMG UK, describes it as a "game changer for tax," because it is capable of handling complex tasks beyond routine automation. "Gen AI for tax research and technical analysis will give an efficiency gain akin to moving from typewriters to word processors," he says. The tools can answer tax queries within minutes, with more than 95 per cent accuracy, Tait says.

Long-time Slashdot reader theodp shared this warning from a long-time AI researcher arguing that data science "is due" for a reckoning over whether results can be reproduced. "Few technological revolutions came with such a low barrier of entry as Machine Learning..." Unlike Machine Learning, Data Science is not an academic discipline, with its own set of algorithms and methods... There is an immense diversity, but also disparities in skill, expertise, and knowledge among Data Scientists... In practice, depending on their backgrounds, data scientists may have large knowledge gaps in computer science, software engineering, theory of computation, and even statistics in the context of machine learning, despite those topics being fundamental to any ML project. But it's ok, because you can just call the API, and Python is easy to learn. Right...?

Building products using Machine Learning and data is still difficult. The tooling infrastructure is still very immature and the non-standard combination of data and software creates unforeseen challenges for engineering teams. But in my views, a lot of the failures come from this explosive cocktail of ritualistic Machine Learning:

- Weak software engineering knowledge and practices compounded by the tools themselves;
- Knowledge gap in mathematical, statistical, and computational methods, encouraged black boxing API;
- Ill-defined range of competence for the role of data scientist, reinforced by a pool of candidates with an unusually wide range of backgrounds;
- A tendency to follow the hype rather than the science.


- What can you do?

- Hold your data scientists accountable using Science.
- At a minimum, any AI/ML project should include an Exploratory Data Analysis, whose results directly support the design choices for feature engineering and model selection.
- Data scientists should be encouraged to think outside-of-the box of ML, which is a very small box - Data scientists should be trained to use eXplainable AI methods to provide context about the algorithm's performance beyond the traditional performance metrics like accuracy, FPR, or FNR.
- Data scientists should be held at similar standards than other software engineering specialties, with code review, code documentation, and architectural designs.
The article concludes, "Until such practices are established as the norm, I'll remain skeptical of Data Science."

The Washington Post reports: Commitments from Big Tech companies to identify and label fake artificial-intelligence-generated images on their platforms won't be enough to keep the tech from being used by other countries to try to influence the U.S. election, said the head of the Cybersecurity and Infrastructure Security Agency. AI won't completely change the long-running threat of weaponized propaganda, but it will "inflame" it, CISA Director Jen Easterly said at The Washington Post's Futurist Summit on Thursday. Tech companies are doing some work to try to label and identify deepfakes on their platforms, but more needs to be done, she said. "There is no real teeth to these voluntary agreements," Easterly said. "There needs to be a set of rules in place, ultimately legislation...."

In February, tech companies, including Google, Meta, OpenAI and TikTok, said they would work to identify and label deepfakes on their social media platforms. But their agreement was voluntary and did not include an outright ban on deceptive political AI content. The agreement came months after the tech companies also signed a pledge organized by the White House that they would label AI images. Congressional and state-level politicians are debating numerous bills to try to regulate AI in the United States, but so far the initiatives haven't made it into law. The E.U. parliament passed an AI Actt year, but it won't fully go into force for another two years.

Wednesday The Information reported that OpenAI had doubled its annualized revenue — a measure of the previous month's revenue multiplied by 12 — in the last six months. It's now $3.4 billion (which is up from around $1 billion last summer, notes Engadget).

And now an anonymous reader shares a new report from The Information: OpenAI CEO Sam Altman recently told some shareholders that the artificial intelligence developer is considering changing its governance structure to a for-profit business that OpenAI's nonprofit board doesn't control, according to a person who heard the comments. One scenario Altman said the board is considering is a for-profit benefit corporation, which rivals such as Anthropic and xAI are using, this person said. Such a change could open the door to an eventual initial public offering of OpenAI, which currently sports a private valuation of $86 billion, and may give Altman an opportunity to take a stake in the fast-growing company, a move some investors have been pushing.
More from Reuters: The restructuring discussions are fluid and Altman and his fellow directors could ultimately decide to take a different approach, The Information added. In response to Reuters' queries about the report, OpenAI said: "We remain focused on building AI that benefits everyone. The nonprofit is core to our mission and will continue to exist."
Is that a classic non-denial denial?

Note that the nonprofit's "continuing to exist" does not in any way preclude OpenAI from becoming a for-profit business — with a spin-off nonprofit, continuing to exist...

An anonymous reader shared this report from Futurism: An AI chatbot named VIC, or Virtually Integrated Citizen, is trying to make it onto the ballot in this year's mayoral election for Wyoming's capital city of Cheyenne.

But as reported by Wired, Wyoming's secretary of state is battling against VIC's legitimacy as a candidate — and now, an investigation is underway.

According to Wired, VIC, which was built on OpenAI's GPT-4 and trained on thousands of documents gleaned from Cheyenne council meetings, was created by Cheyenne resident and library worker Victor Miller. Should VIC win, Miller told Wired that he'll serve as the bot's "meat puppet," operating the AI but allowing it to make decisions for the capital city.... "My campaign promise," Miller told Wired, "is he's going to do 100 percent of the voting on these big, thick documents that I'm not going to read and that I don't think people in there right now are reading...."

Unfortunately for the AI and its — his? — meat puppet, however, they've already made some political enemies, most notably Wyoming Secretary of State Chuck Gray. As Gray, who has challenged the legality of the bot, told Wired in a statement, all mayoral candidates need to meet the requirements of a "qualified elector." This "necessitates being a real person," Gray argues... Per Wired, it's also run amuck with OpenAI, which says the AI violates the company's "policies against political campaigning." (Miller told Wired that he'll move VIC to Meta's open-source Llama 3 model if need be, which seems a bit like VIC will turn into a different candidate entirely.)
The Wyoming Tribune Eagle offers more details: [H]is dad helped him design the best system for VIC. Using his $20-a-month ChatGPT subscription, Miller had an 8,000-character limit to feed VIC supporting documents that would make it an effective mayoral candidate...

While on the phone with Miller, the Wyoming Tribune Eagle also interviewed VIC itself. When asked whether AI technology is better suited for elected office than humans, VIC said a hybrid solution is the best approach. "As an AI, I bring unique strengths to the role, such as impartial decision-making, data-driven policies and the ability to analyze information rapidly and accurately," VIC said. "However, it's important to recognize the value of human experience and empathy and leadership. So ideally, an AI and human partnership would be the most beneficial for Cheyenne...." The artificial intelligence said this unique approach could pave a new pathway for the integration of human leadership and advanced technology in politics.

Drew Turney reports via Live Science: The "Turing test," first proposed as "the imitation game" by computer scientist Alan Turing in 1950, judges whether a machine's ability to show intelligence is indistinguishable from a human. For a machine to pass the Turing test, it must be able to talk to somebody and fool them into thinking it is human. Scientists decided to replicate this test by asking 500 people to speak with four respondents, including a human and the 1960s-era AI program ELIZA as well as both GPT-3.5 and GPT-4, the AI that powers ChatGPT. The conversations lasted five minutes -- after which participants had to say whether they believed they were talking to a human or an AI. In the study, published May 9 to the pre-print arXiv server, the scientists found that participants judged GPT-4 to be human 54% of the time.

ELIZA, a system pre-programmed with responses but with no large language model (LLM) or neural network architecture, was judged to be human just 22% of the time. GPT-3.5 scored 50% while the human participant scored 67%. "Machines can confabulate, mashing together plausible ex-post-facto justifications for things, as humans do," Nell Watson, an AI researcher at the Institute of Electrical and Electronics Engineers (IEEE), told Live Science. "They can be subject to cognitive biases, bamboozled and manipulated, and are becoming increasingly deceptive. All these elements mean human-like foibles and quirks are being expressed in AI systems, which makes them more human-like than previous approaches that had little more than a list of canned responses." Further reading: 1960s Chatbot ELIZA Beat OpenAI's GPT-3.5 In a Recent Turing Test Study

An artificial intelligence candidate is on the ballot for the United Kingdom's general election next month. From a report: "AI Steve," represented by Sussex businessman Steve Endacott, will appear on the ballot alongside non-AI candidates running to represent constituents in the Brighton Pavilion area of Brighton and Hove, a city on England's southern coast. "AI Steve is the AI co-pilot," Endacott said in an interview. "I'm the real politician going into Parliament, but I'm controlled by my co-pilot." Endacott is the chairman of Neural Voice, a company that creates personalized voice assistants for businesses in the form of an AI avatar. Neural Voice's technology is behind AI Steve, one of the seven characters the company created to showcase its technology.

He said the idea is to use AI to create a politician who is always around to talk with constituents and who can take their views into consideration. People can ask AI Steve questions or share their opinions on Endacott's policies on its website, during which a large language model will give answers in voice and text based on a database of information about his party's policies. If he doesn't have a policy for a particular issue raised, the AI will conduct some internet research before engaging the voter and pushing them to suggest a policy.

Meta has confirmed that it will pause plans to start training its AI systems using data from its users in the European Union and U.K. From a report: The move follows pushback from the Irish Data Protection Commission (DPC), Meta's lead regulator in the EU, which is acting on behalf of several data protection authorities across the bloc. The U.K.'s Information Commissioner's Office (ICO) also requested that Meta pause its plans until it could satisfy concerns it had raised. "The DPC welcomes the decision by Meta to pause its plans to train its large language model using public content shared by adults on Facebook and Instagram across the EU/EEA," the DPC said in a statement Friday. "This decision followed intensive engagement between the DPC and Meta. The DPC, in cooperation with its fellow EU data protection authorities, will continue to engage with Meta on this issue."

While Meta is already tapping user-generated content to train its AI in markets such as the U.S., Europe's stringent GDPR regulations has created obstacles for Meta -- and other companies -- looking to improve their AI systems, including large language models with user-generated training material. However, Meta last month began notifying users of an upcoming change to its privacy policy, one that it said will give it the right to use public content on Facebook and Instagram to train its AI, including content from comments, interactions with companies, status updates, photos and their associated captions. The company argued that it needed to do this to reflect "the diverse languages, geography and cultural references of the people in Europe."

A facial recognition start-up, accused of invasion of privacy in a class-action lawsuit, has agreed to a settlement, with a twist: Rather than cash payments, it would give a 23 percent stake in the company to Americans whose faces are in its database. From a report: Clearview AI, which is based in New York, scraped billions of photos from the web and social media sites like Facebook, LinkedIn and Instagram to build a facial recognition app used by thousands of police departments, the Department of Homeland Security and the F.B.I. After The New York Times revealed the company's existence in 2020, lawsuits were filed across the country. They were consolidated in federal court in Chicago as a class action.

The litigation has proved costly for Clearview AI, which would most likely go bankrupt before the case made it to trial, according to court documents. The company and those who sued it were "trapped together on a sinking ship," lawyers for the plaintiffs wrote in a court filing proposing the settlement. "These realities led the sides to seek a creative solution by obtaining for the class a percentage of the value Clearview could achieve in the future," added the lawyers, from Loevy + Loevy in Chicago.

Anyone in the United States who has a photo of himself or herself posted publicly online -- so almost everybody -- could be considered a member of the class. The settlement would collectively give the members a 23 percent stake in Clearview AI, which is valued at $225 million, according to court filings. (Twenty-three percent of the company's current value would be about $52 million.) If the company goes public or is acquired, those who had submitted a claim form would get a cut of the proceeds. Alternatively, the class could sell its stake. Or the class could opt, after two years, to collect 17 percent of Clearview's revenue, which it would be required to set aside.

In an unprecedented move, Microsoft has announced that its big Copilot+ PC initiative that was unveiled last month will launch without its headlining "Windows Recall" AI feature next week on June 18. From a report: The feature, which captures snapshots of your screen every few seconds, was revealed to store sensitive user data in an unencrypted state, raising serious concerns among security researchers and experts.

Last week, Microsoft addressed these concerns by announcing that it would make changes to Windows Recall to ensure the feature handles data securely on device. At that time, the company insisted that Windows Recall would launch alongside Copilot+ PCs on June 18, with an update being made available at launch to address the concerns with Windows Recall. Now, Microsoft is saying Windows Recall will launch at a later date, beyond the general availability of Copilot+ PCs. This means these new devices will be missing their headlining AI feature at launch, as Windows Recall is now delayed indefinitely. The company says Windows Recall will be added in a future Windows update, but has not given a timeframe for when this will be. Further reading:
'Microsoft Has Lost Trust With Its Users and Windows Recall is the Straw That Broke the Camel's Back'
Windows 11's New Recall Feature Has Been Cracked To Run On Unsupported Hardware
Is the New 'Recall' Feature in Windows a Security and Privacy Nightmare?
Mozilla Says It's Concerned About Windows Recall.