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AI NewsOpenAI is reportedly preparing legal action against Apple; it wouldn’t be the first partner to feel burned

OpenAI is reportedly preparing legal action against Apple; it wouldn’t be the first partner to feel burned

2:44 AM IST · May 15, 2026

OpenAI is reportedly preparing legal action against Apple; it wouldn’t be the first partner to feel burned

OpenAI is so frustrated with Apple over a ChatGPT integration that failed to deliver the subscribers and prominence it expected that the company is now actively exploring legal action against the iPhone maker,Bloomberg News reported Thursday, citing people familiar with the matter. According to Bloomberg, OpenAI has enlisted an outside law firm to work through its options, which could include sending Apple a formal breach-of-contract notice without necessarily escalating to a full lawsuit (at least not immediately). Any legal move would likely wait until after the conclusion of OpenAI’s ongoing trial with Elon Musk. Still, it’s a reminder of what a difficult partner Apple can be for major software companies. The iPhone is an enormously attractive platform for growth, but it’s fully under Apple’s control — and companies that build there are only guests. From Google to Adobe, there’s a long history of Apple showing guests the door when they seem as if they’re getting too comfortable. TechCrunch has reached out to both OpenAI and Apple for comment. The OpenAI partnership, announced at Apple’s Worldwide Developers Conference in June 2024, wove ChatGPT into Apple’s operating systems as an option within Siri and as part of the iPhone’s Visual Intelligence feature (allowing users to use their camera to analyze their surrounds and send photos to ChatGPT with related questions). OpenAI, along with industry watchers, expected the deal might eventually funnel billions of dollars in new subscriptions its way and give the company prime real estate across one of the world’s most-used mobile ecosystems. Instead, Bloomberg reports, OpenAI has grown increasingly aggravated, complaining that the integration has been buried, its features hard to find, and that revenue from the tie-up is nowhere close to projections. “They basically said, ‘OpenAI needs to take a leap of faith and trust us,’” one OpenAI executive told Bloomberg. “It didn’t work out well.” Apple, for its part, has its own grievances, including concerns about OpenAI’s privacy standards and, according to Bloomberg, irritation over OpenAI’s push into hardware, an effort led by former Apple executives including ex-design chief Jony Ive. Either way, OpenAI is hardly the first partner of Apple to regret hitching its wagon to the company. Apple has a long history of embracing partners and then alienating them. The most famous case is Google Maps, which was a flagship feature of the original iPhone. It was so central to the device's appeal that its removal in 2012 — replaced by Apple's markedly inferior Apple Maps product — became one of the biggest tech fiascos of the decade, prompting a rare public apology from CEO Tim Cook. The friction between the two companies had been building for years at that point, thanks to the rollout of Google's Android phone a year after the iPhone's 2007 debut; after Google's then-CEO Eric Schmidt stepped down from Apple's board in 2009, that rivalry only intensified. Adobe has some scar tissue, too. Steve Jobsrefused to support Flashon the iPhone and iPad, publishing a famousopen letterin 2010 explaining why and effectively dooming the technology. Flash never recovered its footing on mobile. Then there's Spotify, whichspent yearsarguing that Apple leveraged its control over the App Store to disadvantage rival music streaming services after launching Apple Music in 2015. The European Commission agreed, fining Apple nearly€1.8 billionin March 2024. Sometimes these rifts can be overcome in the name of commercial interests. Google is now Apple's AI infrastructure partner, having struck amultiyear dealin January to power the next generation of Apple Intelligence with Gemini models. Apple is paying Google roughly $1 billion a year. In the meantime, OpenAI has had its own share of strained relationships lately. Elon Musk'slawsuitagainst the company — which accuses OpenAI ofabandoningits nonprofit founding mission and operating inbad faith— is currently at trial. The company has also reportedly navigated tensions with Microsoft, its biggest backer and infrastructure partner, as it pushes for greater independence ahead of its own IPO ambitions.

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Research repository ArXiv will ban authors for a year if they let AI do all the work

Research repository ArXiv will ban authors for a year if they let AI do all the work

ArXiv, a widely used open repository for preprint research, is doing more to crack down on the careless use of large language models in scientific papers. Although papers are posted to the site before they are peer-reviewed, arXiv (pronounced “archive”) has become one of the main ways that research circulates in fields like computer science and math, and the site itself has becomea source of data on trends in scientific research. ArXiv has already taken steps to combat a growing number of low-quality, AI-generated papers, for example by requiring first-time posters toget an endorsement from an established author. And after being hosted by Cornell for more than 20 years, the organization is becoming an independent nonprofit, which should allow it toraise more money to address issues like AI slop. In its latest move, Thomas Dietterich — the chair of arXiv’s computer science section —postedThursdaythat “if a submission contains incontrovertible evidence that the authors did not check the results of LLM generation, this means we can’t trust anything in the paper.” That incontrovertible evidence could include things like “hallucinated references” and comments to or from the LLM, Dietterich said. If such evidence is found, a paper’s authors will face “a 1-year ban from arXiv followed by the requirement that subsequent arXiv submissions must first be accepted by a reputable peer-reviewed venue.” Note that this isn’t an outright prohibition on using LLMs, but rather an insistence that, as Dietterich put it, authors take “full responsibility” for the content, “irrespective of how the contents are generated.” So if researchers copy-paste “inappropriate language, plagiarized content, biased content, errors, mistakes, incorrect references, or misleading content” directly from an LLM, then they’re still responsible for it. Dietterichtold 404 Mediathat this will be a “one-strike” rule, but moderators must flag the issue and section chairs must confirm the evidence before imposing the penalty. Authors will also be able to appeal the decision. Recent peer-reviewed research has found thatfabricated citations are on the risein biomedical research, likely due to LLMs — though to be fair, scientists aren’t the only ones getting caughtusing citations that were made up by AI.

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