Tech
The wildest allegations in Apple’s trade secrets lawsuit against OpenAI
Apple’s trade secret lawsuit against OpenAI is packed with a number of extraordinary allegations that paint a picture of a coordinated effort to extract confidential information from current and former Apple employees. But what’s perhaps most striking is how casually the alleged misconduct is described, including one message that reads, “LOL, I found out I can access the [network storage], so funny.”
The 41-page complaint, which was filed on Friday, is filled with unusually detailed allegations, like this and others. Here are some that stood out the most to us:
- “Normalized and exemplified by leadership.” With this description of OpenAI, Apple is making it clear its lawsuit isn’t just focused on rogue employees, but that misconduct like this is part of OpenAI’s culture and is led from the top.
- “Rotten to its core.” Leave it to Apple to work a rotten fruit analogy into its criticism of OpenAI’s behavior in this case. The AI model maker is rumored to be working on a hardware device to challenge the iPhone, potentially a smartphone of its own. But Apple wants to stress that what OpenAI is developing was allegedly built with Apple’s trade secrets. “OpenAI’s nascent hardware business now rests on the shakiest of foundations, rotten to its core by its illegal reliance on misappropriated trade secrets,” the complaint states.
- “This is the tip of the iceberg.” In addition to documenting the allegations against its former employees, Apple is suggesting that the alleged misconduct outlined in the complaint is only a fraction of what it will uncover after the discovery process gets underway. In discovery, corporate documents and communications, including texts and emails, are obtained, potentially uncovering other examples of this kind of behavior at OpenAI. “Discovery will expose that the misappropriation has been occurring on a scale many times greater than the several instances described below,” Apple’s complaint states.
- “LOL, I found out I can access the [network storage], so funny.” Apple says that Chang Liu, previously a senior systems electrical engineer at Apple before joining OpenAI, sent this message to an Apple employee, Yu-Ting “Alyssa” Peng, who allegedly was a conduit between Apple and OpenAI. Peng later left to join OpenAI herself but is not a defendant in the lawsuit. Peng allegedly replied to the message, “I’m ready.” Apple claims that Liu was able to access Apple’s systems by exploiting an authentication bug, which he did from Peng’s Apple-issued work computer.
- “I still have another computer.” Liu allegedly also texted this within hours of leaving Apple, referring to another Apple computer he allegedly planned to use to access Apple’s confidential information. Apple discovered the message on Peng’s Apple-issued work laptop.
- “Didn’t even know we could take those from the office.” One of the wilder allegations is that OpenAI job candidates working at Apple were directed by OpenAI chief hardware officer Tang Yew Tan, who spent 24 years at Apple, most recently as VP of product design for iPhone and Apple Watch, to bring “actual parts” from Apple to their interviews at OpenAI for “show and tell sessions.” One candidate was surprised by the request, saying he didn’t even realize that Apple parts could be taken out of the office, Apple alleges. Apple also says employees were instructed to bring “CAD/design artifacts” and “prototypes” to interviews.
- Avoiding the “dreaded walkout.” Apple alleges that OpenAI coached departing Apple employees on how to evade Apple’s security procedures to reduce the chance their alleged trade secret theft would be caught. The complaint claims that OpenAI circulated an internal Apple document bearing a “Need to know” designation to new hires with details on how to avoid the “dreaded walkout,” which would immediately remove them from Apple after giving notice, instead of letting them continue to work for the typical two weeks, which would allow them more time to access Apple’s confidential information.
- “Let OpenAI know ‘asap’” if asked to sign anything when quitting Apple. TThe complaint alleges that, in addition to helping OpenAI job candidates avoid Apple’s security procedures, OpenAI advised departing employees that if Apple asked them to sign anything at an exit interview, they should let OpenAI know immediately, and it advised them not to sign.
- “Over four hundred former Apple employees now working at OpenAI.” Another surprise: The complaint reveals the extent to which Apple employees have left the iPhone maker to work for OpenAI. Apple leverages this figure to paint a picture of the potential scale of the problem, noting that “it is not surprising that certain OpenAI personnel have knowledge of Apple’s confidential and proprietary information, which they are obligated to keep confidential. But OpenAI has resorted to exploiting this confidential information…”
- “io…access, exploited and used Apple’s secret, proprietary industrial design techniques, processes, and know-how related to metal-finishing.” Founded by former Apple employees, including Jony Ive, the company io was acquired by OpenAI last year in a $6.5 billion deal. Now io is a defendant in this lawsuit, as Apple alleges that the firm used its industrial design techniques by misleading Apple’s partner into believing that it had Apple’s permission to carry out a “confidential metal-finishing technique,” the complaint states. Apple also alleges that OpenAI approached a supplier using its confidential information about design and components related to power and batteries, even using “internal terminology” to ask targeted questions that “only Apple-insiders would know to ask.”
- “Apple is left with no choice.” Though seemingly typical legal language, in this case, it appears that Apple may have tried to resolve the situation outside the courts first. The tech giant says that it first tried to contact OpenAI in February, raising its concerns, but OpenAI never responded.
So far, OpenAI has only commented publicly via a statement shared on X on Friday, which reads: “We have no interest in other companies’ trade secrets. We remain focused on building innovative technology that empowers people everywhere.”
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Tech
Iran abused mobile networks’ vulnerabilities to locate US military in the Middle East, report says
The Iranian government abused well-known vulnerabilities in the global telecoms infrastructure to locate U.S. military personnel in the build-up to the Iran War, as well as in the early days of the conflict, according to Financial Times.
The Iranian government exploited Signaling System 7, or SS7, a set of protocols for 2G and 3G networks that has long been the backbone of how cellular networks connect to each other to route subscribers’ calls and texts around the world, the newspaper reported, citing research by the Mobile Surveillance Monitor, as well as anonymous government officials with knowledge of the spy campaign.
Intelligence agencies have long abused SS7 to track cellphones abroad, which is what happened in this campaign.
Using this technique, Iran was reportedly able to locate U.S. military forces stationed in military bases as well as hotels in Iraq, Bahrain, and other countries in the Middle East, which allowed the regime to strike them. These attacks resulted in several injuries.
Apart from SS7, Iran also abused advertising technology used to serve tailored ads to cellphone users, another well-known surveillance technique that relies on everyday technology.
Tech
Google Images gets a Pinterest-like redesign focused on discovery
Google Images, the tech giant’s image search engine, is taking on Pinterest with its latest redesign that turns the site into a browsable, dynamic gallery of images from across the web. Google is also adding a way for users to create AI images right in Search, as it celebrates 25 years since the debut of Google Images.
Pinterest has long been known for allowing people to browse and save visual inspiration for everything from fashion to home decor. With this redesign, Google is essentially copying that playbook by turning Google Images into a place for discovery and inspiration, and not just search, which could increase users’ time spent on Google platforms, helping boost its ad revenue.
In addition, Google is likely hoping that when users can’t find the image they’re looking for on Google Images or when they want to visualize something, they’ll stay within its ecosystem to create it rather than turn to third-party services like ChatGPT.

After navigating to the redesigned Google Images, users will see a “For You” gallery of images tailored to their interests and browsing history. Like Pinterest, the gallery is designed for continuous browsing, with Google saying it updates in real time with new images.
As users browse, they can save ideas to their “collections,” which will appear as tabs above the main gallery of photos. For example, users can create collections for things like vacation outfit ideas, travel inspiration, and ways to design a reading nook, which they can come back to later.
The redesign is rolling out over the coming weeks on desktop in the U.S. in English. Users need to be signed into a Google Account to try it out, the tech giant says.

As for generating images directly in Search, Google says the feature is meant for moments when you have a highly specific idea for an image that doesn’t already exist online. Google is bringing image generation directly into AI Overviews on Search and will use its latest Nano Banana model to transform a text prompt into a custom visual.
The feature can also help users reimagine spaces and visualize ideas, such as seeing what a room might look like painted red or what a dorm room with a coastal theme could look like.
Image generation in AI Overviews will start to roll out over the coming weeks in English for all regions that currently support image creation in AI Mode, Google says.
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Tech
Meta’s Adam Mosseri says AI token budgets could soon be capped per engineer
In a recent interview, Instagram head Adam Mosseri said he can see a time in the future, perhaps only a year or two, when putting limits on Meta employees’ AI token spend will become necessary.
“I think that you can imagine, at least in a year or two … that the burn rate of a strong engineer might be the same as their salary, or their cost of employment. And in that world, you’re going to probably need to put in some caps,” the Meta executive said, while speaking on Lenny’s Podcast.
AI token spend, a reference to the cost of processing AI prompts and responses, has been a much-buzzed-about subject in recent days. Meta shut down an internal AI token spend leaderboard after AI costs put the company on track for billions of dollars in 2026.
Meta is not alone in rethinking its approach to AI experimentation. Uber also had an AI reckoning after it blew through its 2026 AI coding budget by April. Soaring token costs saw Microsoft cancel Claude Code licenses, consolidating its engineers around its own Copilot CLI tool instead.
Mosseri’s belief, he explained, is that AI token costs will have to be managed just like any other resource, offering an analogy to things like payroll or operating expenditure (OpEx), which is the day-to-day costs of running a business.
“I think of it like…any other resource,” Mosseri said. “I have to decide how to deploy capacity to my different teams because I have a limited number of GPUs and CPUs and storage and RAM etc. I have to decide how to deploy OpEx for labeling budgets across my teams. I have to decide how to deploy payroll for headcount across my teams.”
Token budgets will be the same, he added, noting that the cap per engineer would have to be proportional to the company’s trust in their ability to use the budget in an “ROI-positive” way.
Meta doesn’t currently have token caps for any employee, Mosseri said, but he believes that their use could be healthy in the future. Further down the road, he expects token costs to come down as the AI model makers enter a pricing war to attract people to use their tools over their competitors.
For now, the company has managed to rein in its token costs a bit by shutting down the “silly things” that it was doing, Mosseri noted — like that token spend leaderboard.
“It’s not that hard to build a token incinerator, and that doesn’t create a lot of value,” he said.
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