OpenAI engineer's 'LOL' moment set stage for legal fight with Apple

OpenAI engineer's 'LOL' moment set stage for legal fight with Apple



By Mark Gurman

 


When iPhone engineer Chang Liu quit for a job at OpenAI’s nascent hardware division, Apple Inc. says he left with more than just years of experience.

 


According to a lawsuit filed Friday, Liu departed with three things: a company-issued MacBook he never returned, a close relationship with an Apple employee who continued sharing internal information, and, most significantly, knowledge of a software bug that gave him ongoing access to internal file servers.

 


“LOL, I found out I can access the [network storage], so funny,” Liu wrote to his former Apple colleague, Alyssa Peng. He then, Apple alleges, used that access to download presentations, hardware designs, manufacturing details and testing procedures — all while already working at OpenAI.

 
 


When Liu discovered the bug, Peng stepped in to help, according to the suit. She replied, “I’m ready,” and eventually helped obtain more information through her own laptop. A few months later, in April, Peng herself left for OpenAI’s growing hardware division. 

 


She joined more than 400 other former Apple employees drawn by the opportunity to work on next-generation devices designed to replace the two-decade-old iPhone — with salaries and stock options that trumped Apple’s less dazzling pay packages.

 


The episode is one of many that Apple says illustrate a “systematic effort to acquire, retain and use” its confidential information to help OpenAI replicate its decades of work building the world’s most successful consumer electronics business. 

 


The 40-page lawsuit alleges that OpenAI encouraged prospective employees still at Apple to study confidential materials before interviews and brazenly bring hardware components and prototypes to so-called show-and-tell sessions at OpenAI’s offices. 

 


In response to the lawsuit, OpenAI said it has “no interest in other companies’ trade secrets.” 

 


“We remain focused on building innovative technology that empowers people everywhere,” a spokesperson for the San Francisco-based company said.

 


The lawsuit was filed after months of simmering tension between Apple and OpenAI — partners that have increasingly become rivals. Both companies are gunning for the nascent AI device market, a category that’s poised to reinvent the way consumers use technology.

 


At the center of the rift is Tang Tan, a former Apple executive who had overseen the design of the iPhone, smartwatch and several other products. He told his bosses in late 2023 that he was leaving for a new gig — an opportunity that eventually became the chief hardware officer job at OpenAI. 

 


At the time, there were few signs that his departure would end in a courtroom battle. In a rare move, Apple allowed him to stay on through February 2024, letting him manage a transition that required a revamp of the hardware division.

 


Behind the scenes, however, Tan had already begun working with former Apple design head Jony Ive and OpenAI Chief Executive Officer Sam Altman on an ambitious new hardware venture. Their aim was to create a new category of AI devices that could one day challenge the iPhone itself.

 


Tan and Ive helped found io Products, a startup that OpenAI acquired last year for $6.5 billion. They teamed up on the venture with Evans Hankey, Ive’s successor as Apple’s industrial design chief, and Scott Cannon, a former manufacturing manager who left the tech giant in 2010.

 


Apple was quickly alarmed by OpenAI’s recruiting drive, which included poaching senior hardware and design leaders and ravaging several teams across its engineering organizations.

 


The practice continued as recently as June, when OpenAI lured away Apple’s smart glasses chief. That executive, Paul Meade, was quickly shown the door at Apple and not given the opportunity to stay on for a transition period, according to people with knowledge of the matter. 

 


To Apple, the talent search looked like an attempt to recreate the iPhone maker’s product-development machine inside OpenAI. “OpenAI’s nascent hardware business now rests on the shakiest of foundations, rotten to its core by its illegal reliance on misappropriated trade secrets,” Apple said Friday. 

 


Tan was famous for taking risks at Apple and “flying very close to the sun” during his 25-year career, according to someone who worked with him. “Tang is well known for moving fast, playing fast and loose and breaking things,” said the person, who asked not to be identified while discussing former colleagues. 

 


He made his name leading the design of early Mac laptops and iPods before taking charge of the product design function for the original iPhone. Tan oversaw the entire iPhone design team by 2011 and then led the Apple Watch design work. By the time he left, he was one of Apple’s top executives.

 


OpenAI, meanwhile, had committed billions of dollars to its hardware effort and was racing toward an initial public offering. Nevertheless, the startup had little to show beyond concepts and early prototypes when io was acquired, according to people with knowledge of the matter. At the time, the company was still scrambling to settle on a compelling product strategy, they said.

 


These days, OpenAI is working on an AI-powered smartphone replacement, though its first product may be something simpler, the people said. The company has explored concepts ranging from earbuds and smart glasses to AI-enhanced speakers. Apple, for its part, is developing a new lineup of home devices, camera-equipped AirPods, glasses and other wearables.

 


Apple said that it tried to resolve the dispute before filing the suit, including by contacting the AI company in February. It said it told OpenAI of its concern that confidential Apple information had made its way there and asked the company to both investigate the issue and stop it from happening. The startup never responded, Apple alleges. 

 


The key OpenAI employees named in the lawsuit, including Tan, didn’t respond to requests for comment.

 


The lawsuit also underscores Tan’s strained relationship with John Ternus, his former boss and Apple’s incoming chief executive officer. Most of OpenAI’s Apple recruits came from Ternus’ hardware engineering division, and some designers had backed Tan over Ternus for the top hardware job in 2021.

 


Tan, who Apple portrays as orchestrating the effort to obtain confidential information, is alleged to have used interviews with prospective employees as information-gathering sessions about upcoming Apple products. 

 


In one instance, Apple says an employee acquired information about a project just hours before meeting with Tan for a job interview. “Then, in the interview, Mr. Tan solicited more information about that same Apple project. This has become an established pattern,” according to the lawsuit. 

 


Once employees sign on to work at OpenAI, they are encouraged to send information before resigning from their Apple devices to their personal email accounts to use later at the AI startup, the iPhone maker alleges. OpenAI, the complaint says, distributes “a checklist that Tang put together” that helps new employees evade detection from Apple’s security teams.

 


Apple also alleges that Tan went as far as asking prospective hires to bring prototypes to job interviews. This included batteries, logic boards and other components, the complaint says. 

 


At least one Apple worker who applied to OpenAI was concerned about the practice, saying he was “surprised people have brought” unreleased hardware to job interviews. He said he “didn’t know we could take those from the office.” In many cases, they couldn’t.

 



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India sees iPhone 17 stock crunch as demand rises amid fears of price hike

India sees iPhone 17 stock crunch as demand rises amid fears of price hike



Consumers in India are rushing to buy iPhone 17 models amid expectations that Apple may raise prices, leading to shortages across retail stores and online platforms, The Economic Times reported. The development comes after Apple recently increased prices of MacBooks, iPads and smart home devices because of rising memory and component costs, while keeping iPhone prices unchanged.

 


The report said retailers were encouraging customers to purchase the iPhone 17 now, warning that prices could increase later. Tarun Pathak, research director at Counterpoint Research, told ET that the firm’s weekly market checks after Apple’s recent price increases showed a noticeable pull-forward in demand for the iPhone 17, with consumers making more enquiries about stock availability and the timing of any potential price increase.

 
 


Retailers said fresh supplies of the iPhone 17, particularly the base model, have remained limited over the past 10 days, adding to buying momentum.

 


According to the report, many customers are paying the listed price without negotiating discounts. Some buyers who turned to Flipkart and Amazon were unable to find their preferred colour or storage variant because of limited availability.

 


Market trackers also pointed to stronger iPhone sales during the April-June quarter, supported by expectations that Apple may not introduce a new base iPhone model this year as it shifts focus towards its first foldable iPhone. An analyst estimated that iPhone shipments crossed 3.5 million units during the quarter, compared with 3.1 million units a year earlier. Shipments were also higher than in the January-March quarter.

 


Promotional sales on Flipkart and Amazon also contributed to higher shipments during the period.

 


The inventory situation comes after Apple’s outgoing chief executive Tim Cook indicated that price increases had become difficult to avoid as the consumer electronics industry faced rising component costs and tighter availability of memory and storage modules. While Apple has withdrawn some affordability schemes for iPhones, it has so far kept their prices unchanged, even as supply chain analysts said the cost of building an iPhone has risen sharply due to a surge in memory prices.



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Meta removes AI image feature days after launch following privacy backlash

Meta removes AI image feature days after launch following privacy backlash



Meta said on Friday it is discontinuing an AI feature launched this week that allowed users to generate images using public Instagram accounts, after drawing widespread criticism over privacy concerns, including from a Hollywood union.

 


“Our intent was to provide a useful creative tool and to give people control over whether their public content could be referenced in this way,” Meta said in a statement.

 


“We’ve heard the feedback that this feature missed the mark, so it’s no longer available,” it said.

 


Meta, owner of Facebook and Instagram, had launched Muse Image on Tuesday, its first image-generation model from Meta Superintelligence Labs. The feature, integrated into its Meta AI chatbot, can use photos as input and lets users edit generated images directly through sketches.

 
 


The feature soon faced backlash over privacy concerns and being an automatic opt-in for users.

 


Emmy-winning actor Hannah Einbinder, known for “Hacks,” criticized the feature on Instagram, saying it had been turned on automatically and urging users to turn it off.

 


SAG-AFTRA, the union representing actors and other media professionals, also urged members and other Instagram users on Thursday to opt out of the feature.

 


“Anything other than a clear and conspicuous opt-in for these types of uses of Instagram users’ images is unacceptable, and an utter miscalculation of public sentiment regarding the obvious dangers and harms inherent in such use,” SAG-AFTRA said.

 


Following Meta’s decision to remove the feature, SAG-AFTRA welcomed the move.

 


“With the dangers of nonconsensual digital replicas well known to all, a feature that encouraged that behavior is unwise. We appreciate its discontinuance. It is the responsible thing to do,” a union spokesperson said.

 

The reversal reflects increasing pressure on technology companies to give users clear control over how their publicly shared content is used by AI features. 


(Only the headline and picture of this report may have been reworked by the Business Standard staff; the rest of the content is auto-generated from a syndicated feed.)

 



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Meta challenges US jury verdict in teen social media addiction case

Meta challenges US jury verdict in teen social media addiction case



Meta, the parent company of Instagram and Facebook, has appealed the verdict of a landmark social media addiction lawsuit in Los Angeles, challenging the jury’s determination that the company designed its platforms to hook young users without concern for their well-being.


Lawyers representing Meta filed a notice of appeal Tuesday in Los Angeles County Superior Court. The lawyers will provide their arguments related to the appeal in subsequent court filings.


The case centred on a 20-year-old woman who said she became addicted to social media as a child and that it worsened her mental health struggles. The jury found that negligence by both Meta and Google-owned YouTube, which was also a defendant in the case, was a substantial factor in causing harm to the young woman, identified in court only by her initials, KGM, and her first name, Kaley.

 


The jury awarded her $3 million in damages and recommended an additional $3 million in punitive damages. Her lead attorney, Mark Lanier, said in a statement Friday that the legal team is expecting the appellate court to “continue the careful application of the law to this case, affirming the verdict of the trial court.” 
A notice of appeal starts what can be a lengthy process. A Meta spokesperson provided a statement Friday that they also gave when the jury returned the verdict in March, saying that teen mental health is “profoundly complex and cannot be linked to a single app.” 
Jose Castaneda, a spokesperson for Google, said in a statement Friday that YouTube plans to appeal and that “these are standard motions for this case to move forward.” 
Meta and Google had each filed post-trial motions for judgment notwithstanding the verdict – a routinely filed motion by defence lawyers asking a judge to toss out the jury’s verdict – and for a new trial. The trial judge, Carolyn B. Kuhl, denied those motions in early June.


Tech companies like Meta and YouTube are shielded from legal responsibility for content posted by third parties, based on Section 230 of the 1996 Communications Decency Act. To get around those protections, the plaintiffs focused on the design features of the platforms like “infinite scroll,” or the endless nature of feeds on the platforms, and autoplay functions.


Questions about encroaching into content-related territory were the subject of many objections from the defendants throughout the five-week trial.


The verdict in this case came during a time of legal woes for Meta. A jury in New Mexico returned a verdict finding that Meta’s platforms harm children’s mental health and safety just one day before the California jury reached its decision. The New Mexico jury, siding with state prosecutors who brought the case, landed on a penalty of $375 million. Meta has said the company disagrees with the verdict and will also appeal in that case.


“We will continue to defend ourselves vigorously, and we remain confident in our record of protecting teens online,” a Meta spokesperson said in a statement at the time of the verdicts and again on Friday.


Kaley’s case was a first-of-its-kind lawsuit, and the verdict could influence the outcome of thousands of similar lawsuits accusing social media companies of deliberately causing harm. TikTok and Snapchat parent company Snap Inc. were also initially named as defendants in the case, but each settled for undisclosed sums before the trial began.



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Apple accuses OpenAI of stealing trade secrets in lawsuit over AI devices

Apple accuses OpenAI of stealing trade secrets in lawsuit over AI devices



By Mark Gurman

 


Apple Inc. sued OpenAI for trade secret theft, accusing the artificial intelligence startup and its hardware chief of engaging in a coordinated campaign to steal information about upcoming products.  


The iPhone maker said in a suit Friday that OpenAI encouraged Apple employees to share information, components, drawings and other materials related to upcoming products — part of efforts by the AI company to develop its own suite of devices. 

 


As part of the litigation, filed in the Northern District of California, Apple also named Tang Tan, the chief hardware officer at OpenAI. He was previously Apple’s vice president of product design, leading development of the iPhone, smartwatch, AirPods and several other offerings in the company’s hardware engineering division.

 
 


In a statement, OpenAI said it has “no interest in other companies’ trade secrets.”

 


“We remain focused on building innovative technology that empowers people everywhere,” a spokesperson for the San Francisco-based company said.

 


The legal fight represents a dramatic turn for two companies that worked as close partners in recent years. OpenAI, maker of the ChatGPT chatbot, has supplied vital technology to the Apple Intelligence platform and Siri digital assistant. But tensions have been growing for the past year — worsened by OpenAI enlisting former Apple design visionary Jony Ive to help develop devices.

 

OpenAI, which is poised for an initial public offering in the coming months, has lured away a vast number of Apple employees. According to the lawsuit, more than 400 former Apple workers are now at OpenAI. 
“At every level, from members of its technical staff to its chief hardware officer, and in coordination with business partners, OpenAI has been stealing Apple’s trade secrets and confidential information,” the Cupertino, California-based tech giant said in the suit. “As a natural result, OpenAI’s nascent hardware business now rests on the shakiest of foundations, rotten to its core by its illegal reliance on misappropriated trade secrets.” 


Apple is demanding that OpenAI cease its practices and destroy any proprietary materials. Apple, which is seeking a jury trial in the case, also wants OpenAI to redesign upcoming products so they don’t include any of its technology.

 


Apple said that Tan encouraged employees to provide information about upcoming products in job interviews. The suit also named a former iPhone hardware engineer, Chang Liu, saying he provided materials. Liu joined OpenAI in January.

 


“Over several weeks, while developing hardware for OpenAI, Mr. Liu surreptitiously accessed and downloaded dozens of Apple’s confidential hardware-related files, including voluminous, detailed information about unreleased products, engineering presentations, technical specifications and proprietary project data,” according to the lawsuit.

 


Apple said that its employees were “actively coached” by OpenAI on how to handle their exits from the company. 

 


“OpenAI has counseled departing employees not to disclose their next employer and given advice on how to avoid the ‘dreaded walk out’ that would promptly remove them from the company rather than giving them a standard two weeks in which they could continue to access Apple’s confidential information and trade secrets,” according to the suit.

 


The case highlights the importance of next-generation AI devices to Silicon Valley. Apple, OpenAI, Meta Platforms Inc. and others are all racing to develop new gadgets that put artificial intelligence at the center, aiming to prepare for a post-smartphone future.

 


Apple is working on devices as varied as smart glasses, pendants and camera-equipped AirPods — all part of its bid to adapt to the AI era. 

 


Tan originally left the iPhone maker in 2024 to co-found an AI devices startup called io Products Inc. alongside Ive and Apple design veteran Evans Hankey. OpenAI acquired the startup last year for $6.5 billion. Ive and Hankey aren’t named in the lawsuit. 

 


Apple said it attempted to resolve the OpenAI dispute out of court months ago, asking it to cease the efforts and eliminate any proprietary materials. It said that it didn’t receive a response, leading Apple to file the lawsuit.  

 


“Significant evidence has emerged suggesting individuals employed by OpenAI wrongfully took Apple’s secret and confidential information regarding our unreleased technologies, processes and products,” the company said in a statement.

 


As part of the defections to OpenAI, the top executive in charge of Apple’s smart glasses effort left last month.

 


Though the two companies never had a partnership to develop hardware devices, they’ve worked together on AI features used by the iPhone and other products. That relationship was announced at Apple’s Worldwide Developers Conference two years ago, with OpenAI CEO Sam Altman sitting in the audience. At the time, Apple software head Craig Federighi referred to the startup as the “pioneer and market leader” in AI and the companies seemed poised for a broad strategic partnership.

 


The arrangement let users access ChatGPT results within Siri and tap the AI technology to generate text and analyse surrounding objects via the iPhone’s Visual Intelligence feature. The partnership later expanded, with Apple adding ChatGPT as an option for creating images in its Image Playground app and analysing on-screen content.

 


But the relationship around ChatGPT in Siri also has soured. Bloomberg News reported earlier this year that OpenAI was considering its own legal options against Apple. The AI startup failed to see the expected benefits from the partnership and considered sending a breach of contract notice, people familiar with the matter said.

 



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Here's how screenshots are becoming AI's window into your computers

Here's how screenshots are becoming AI's window into your computers


For years, screenshots were little more than digital reminders—used to save receipts, boarding passes, recipes or social media posts, only to disappear into an ever-growing gallery. Artificial intelligence (AI) is beginning to change that. Instead of treating screenshots as ordinary images, AI models are learning to understand them as structured information that can be searched, organised and even acted upon. That shift is now visible across the industry.

 


OpenAI’s Computer-Using Agent (CUA) reasons over screenshots to operate software, while Anthropic’s Computer Use and Google’s ScreenAI are designed to understand computer screens and user interfaces visually. Consumer features are moving in the same direction: Microsoft’s Recall feature captures screenshots periodically by itself, and OnePlus and OPPO’s Mind Space turns screenshots into searchable AI memory. Together, these developments point to a broader shift. AI is no longer just reading text—it is learning to interact with computers the same way humans do: by looking at screens.

 


From digital clutter to searchable memory


Traditionally, screenshots served as reminders or temporary storage—a payment confirmation, restaurant recommendation, recipe or travel booking saved for later. But once captured, they became static images. Finding them again often meant scrolling through hundreds of photos, while even optical character recognition (OCR) largely extracted only text without understanding why the screenshot mattered.

 


AI is changing that. Multimodal models can interpret an entire screen, recognising interface elements, dates, locations, prices, buttons and menus, while understanding how they relate to one another. Instead of simply storing information, screenshots are becoming searchable memory.

 


Microsoft’s Recall, a feature for Copilot+ PCs, works on this technology. It automatically creates a searchable visual history of what users have seen on their screens, allowing them to retrieve past activity using natural-language queries. OnePlus and OPPO’s Mind Space takes a similar approach by organising information from screenshots and letting users later ask Gemini questions about the saved content.

 


The change is subtle but significant: a screenshot is no longer just something users save—it is becoming something AI can understand, organise and retrieve.


Why every major AI company is teaching models to see screens


For decades, software has communicated with other software through application programming interfaces (APIs). But APIs are not universal. Many enterprise systems, legacy applications, desktop software and government portals either lack modern APIs or expose only limited functionality. AI companies increasingly see visual understanding as a way around that problem. Instead of relying on software integrations, a model can simply look at the screen, understand what is visible and interact with the interface much like a human would.

 

That idea is now driving some of the industry’s biggest AI projects. OpenAI’s Computer-Using Agent processes screenshots as raw pixel data before using a virtual mouse and keyboard to navigate software, which the company describes as a “universal interface” that works without application-specific APIs. Anthropic’s Computer Use similarly enables Claude to interpret screens, identify interface elements and interact with applications visually, while Google’s ScreenAI research focuses on helping AI understand user interfaces, screen layouts and on-screen elements.

 


Although developed independently, all three efforts point in the same direction: instead of asking software to expose its functions through APIs, AI is learning to use applications the same way humans do—by looking at screens.


The screen is becoming AI’s universal API


Visual AI fundamentally changes how software can be automated. Instead of relying on developers to build separate API integrations for every application, AI models can interact directly with what appears on a screen. Buttons, menus, forms, dashboards and other interface elements become things an AI agent can understand and operate, just as a human would.

 


That dramatically expands the range of software AI can use. Legacy enterprise systems, internal company tools, desktop applications and older government portals—many of which lack modern APIs—can potentially be automated without requiring developers to modify them.

 


For AI companies, that is one of the biggest advantages of computer-use systems. Rather than building thousands of bespoke integrations, they can train a model to work with almost any software through its visual interface. The screen, in effect, becomes a universal API.


Beyond screenshots: Productivity, automation and accessibility


The implications extend well beyond organising saved images. For enterprises, screen-aware AI could automate workflows across multiple applications without requiring expensive integration projects. An AI agent could navigate legacy software, copy information between systems or complete repetitive administrative tasks by interacting with interfaces visually instead of through customised APIs.

 


That could make automation accessible even for organisations running older software that was never built for AI. The technology also has important accessibility implications. Since AI understands what appears on a screen rather than relying on application-specific features, it can potentially help users navigate unfamiliar interfaces, complete digital tasks or interact with software that was not originally designed with accessibility in mind.

 


The same underlying capability powers both consumer features like screenshot understanding and more advanced computer-use agents. The difference is not the technology. It is how much autonomy the AI is given.


Seeing everything also creates new privacy risks


The more AI understands screens, however, the greater the privacy challenge becomes. Screens routinely contain sensitive information—bank balances, medical records, emails, private messages, work documents and passwords. An AI capable of interpreting everything on a display inevitably has access to far more personal context than a traditional chatbot responding only to typed prompts.

 


One of the biggest examples of this was the controversy around Microsoft’s Recall feature. Privacy researchers and security experts questioned the implications of continuously capturing screen activity, particularly because those snapshots could contain sensitive information mentioned above. The criticism prompted Microsoft to delay Recall’s rollout, redesign parts of its security architecture and eventually relaunch it as an opt-in feature with local encrypted storage, Windows Hello authentication and controls allowing users to exclude specific apps or websites from being captured.

 


Now, companies are introducing additional safeguards alongside computer-use capabilities. OpenAI says its Computer-Using Agent asks users for confirmation before performing sensitive actions such as entering passwords or completing purchases. The company also notes that screenshots help the agent reason about what it sees while interacting with web pages. Anthropic has adopted a similar approach for Claude’s Computer Use. It requires permission before accessing new applications, blocks certain sensitive apps by default, asks users to confirm high-impact actions such as deleting files or completing financial transactions, and uses classifiers to detect potential prompt-injection attacks before the agent proceeds.

 


As AI agents become more capable, balancing convenience with privacy is likely to become just as important as improving their reasoning abilities.



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