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Woofun AI reports that Apple's July 10th federal lawsuit in California against OpenAI, io Products, and two former employees has reignited the long-standing personal feud between Elon Musk and Tang Tan. The legal action, accusing the defendants of stealing trade secrets to develop consumer-grade AI hardware, prompted Musk to immediately launch a series of attacks on X Corp targeting Tang Tan. Written by Li Hailun and edited by Xu Qingyang, this escalation transforms a corporate legal dispute into a public war of words involving the leaders of xAI, OpenAI, and SpaceX. Before the case reached substantive hearings, Musk declared, "Scammer Tang Tan is at it again," leveraging the litigation to question the integrity of his rival and the legitimacy of OpenAI's hardware ambitions.
The specific allegations detailed in the lawsuit paint a picture of systematic intellectual property theft rather than ordinary job hopping. Apple identified Tang Tan, a former designer of the iPhone, Apple Watch, and iPod, who now serves as OpenAI's chief hardware officer after joining io Products, the firm founded by former Apple chief designer Jonny Ive. The second accused individual is Chang Liu, a former Apple electrical engineer alleged to have accessed confidential files using an unreturned Apple device after leaving the company. Apple further claimed that OpenAI instructed job applicants to discuss internal projects, display physical components, and even guided employees to avoid exit audits. OpenAI responded by stating it was reviewing the documents, had no interest in other companies' trade secrets, and would continue focusing on innovative technology development. Apple maintained its stance that it would protect its employees' work and innovative assets, setting the stage for a prolonged legal battle.
Musk's reaction was swift and personal, utilizing the lawsuit to amplify his narrative that Tang Tan is a fraudster. He posted on X Corp that Tang Tan "has raised fraud to a whole new level" and "loves fraud more than anyone else," attaching a photo of Tang Tan with the caption, "I do this because I love it," implying that 'it' refers to fraud rather than AI. This rhetoric directly references a May 2023 hearing before the U.S. Senate where Tang Tan testified that his annual income only covered health insurance, he held no shares in OpenAI, and he was working because he loved it. Musk has since adopted the term "Scam Altman" to describe Tang Tan, framing the former co-founder's actions as a betrayal of the organization's original charitable mission. The accusation suggests that Tang Tan's transition from a low-paid employee to a high-profile executive involved unethical maneuvers that Musk believes warrant public condemnation.
Tang Tan quickly counterattacked by targeting SpaceX's space data center project, a key component of the company's pitch to public market investors. He accused Musk of selling "short-term space data centers" to investors, prompting Musk to reply that SpaceX would begin launching related facilities next year and sarcastically noted, "If your parole officer approves, maybe you can come and take a look." This exchange implied that Tang Tan was akin to a criminal on parole for "stealing" an open-source AI charity and Apple's mobile technology. Tang Tan then linked the dispute to GPT-5.6 Sol, OpenAI's recently released model, which benchmark tests suggest may be the strongest in the world. He argued that the most reliable way to judge the model's success was whether Elon Musk was once again obsessed with attacking him. OpenAI describes GPT-5.6 Sol as its most capable model to date, featuring enhanced capabilities in programming, long-chain agent tasks, biological research, and cybersecurity. Around the same time, Musk's SpaceXAI released Grok 4.5, focusing on programming, agent tasks, and knowledge work. The conflict has thus evolved from a legal dispute over trade secrets into a battle over model releases and personal attacks between the leaders of these two AI companies.
The current hostilities are rooted in a history of collaboration turned rivalry. Musk and Tang Tan co-founded OpenAI in 2015, but disagreements over control, funding, and development strategies emerged as the organization sought more capital and established a for-profit structure. Musk left OpenAI in 2018 and later founded xAI to compete directly with the organization. Their conflicts have since moved from boardroom meetings to courts and finally to X Corp. In May 2026, a jury ruled against Musk in his lawsuit against OpenAI and Tang Tan, a decision Musk stated he would appeal. Apple's current lawsuit provides Musk with another opportunity to attack Tang Tan, reigniting a feud that has spanned over a decade and involves the fundamental direction of the AI industry.
The first front of this emerging competition is the battle for AI hardware and independence. For years, OpenAI has relied on ChatGPT and APIs to reach users, but its software access has been restricted by platform companies like Apple, Google, and Microsoft. On smartphones, OpenAI must navigate Apple's and Google's app stores; in enterprise markets, it depends heavily on Microsoft's products and cloud computing systems. This dependency is the direct motivation for OpenAI's entry into the hardware field. In July 2025, OpenAI acquired io Products for nearly $6.5 billion, aiming to create a new type of AI device distinct from smartphones and traditional screens. Sarah Friar, OpenAI's chief financial officer, stated in April this year that the company plans to launch consumer-grade hardware by the end of 2026. The relationship between Apple and OpenAI has shifted rapidly; at Apple's Worldwide Developers Conference in June 2024, Apple announced that ChatGPT would be integrated into iPhone, allowing users to use OpenAI's models when Siri could not handle complex requests.
However, as OpenAI began hiring Apple's hardware executives and engineers, the partnership transformed into a rivalry. Apple's lawsuit is driven by the need to protect trade secrets and prevent competitors from replicating its hardware capabilities, which is crucial for controlling the next generation of computing access points. OpenAI aims to turn AI from an app on a phone into an independent device that can accompany users at all times, potentially affecting the smartphone's status as the core entry point to the Internet.
Woofun AI data shows that the second front involves capital narratives and the valuation of SpaceX. Musk's accusation that Tang Tan is a "scammer" and Tang Tan's counterattack regarding "space data centers" were strategic choices targeting each other's financial vulnerabilities. SpaceX completed its IPO in June this year, raising $75 billion according to data cited, with a market cap close to $2 trillion after the first day of trading. With xAI merged into SpaceX, investors are buying a business story that combines rockets, satellite internet, AI models, social platforms, and hash rate infrastructure. Space data centers represent the most imaginative and controversial part of this story. Musk hopes to use SpaceX's low-cost launch capabilities and Starlink network to deploy AI computing facilities in orbit, alleviating the power, land, and cooling constraints faced by ground-based data centers. SpaceX plans to deploy up to 1 million computing satellites, with the peak power of each of the first batch of AI1 satellites reaching 150 kilowatts. This plan lacks large-scale engineering validation, as orbital heat dissipation, equipment maintenance, chip lifespan, launch costs, and data transmission efficiency could affect its commercial viability. Tang Tan's attack on space data centers challenges SpaceX's most important growth story since its IPO, questioning how much of its $2 trillion valuation comes from mature rocket and satellite business versus unproven AI infrastructure. OpenAI faces similar issues as it explores going public, with its valuation depending on expectations of ChatGPT growth, enterprise market expansion, leading model capabilities, and new hardware success. Apple's lawsuit could affect the release timeline of OpenAI's hardware products and raise concerns among investors regarding intellectual property, governance, and team stability.
The third front concerns the expanding boundaries and ecosystem control of AI companies. Early large-model competition focused on parameter size, training hash rate, and evaluation results, but today's leading companies have widened their scope. OpenAI is entering search, browsers, programming tools, office collaboration, enterprise agents, and consumer hardware simultaneously. Musk is gradually integrating models, the X Corp platform, the Cursor ecosystem, Starlink, and SpaceX's infrastructure together. Large models are becoming underlying capabilities, but a company's long-term position depends on how many products the models can enter, how many user relationships they can establish, how much hash rate they can utilize, and whether they can build a platform independent of Apple and Google. What Apple is protecting with this lawsuit goes far beyond hardware blueprints; it is defending a complete consumer electronics ecosystem built over two decades based on chips, industrial design, operating systems, supply chain, and app stores. OpenAI is trying to turn natural language and agents into new interfaces, reducing users' reliance on traditional screens, app icons, and touch operations. Musk, on the other hand, hopes to embed AI models in social platforms, cars, robots, satellite networks, and space infrastructure. The three companies have chosen different paths but are competing for the same answer: who will control the first layer of access between users and the digital world in the AI era? Apple's answer remains devices and operating systems; OpenAI bets on models and new AI terminals; Musk aims to build a vertical system from chips, data centers to networks, models, and applications.
Woofun AI analysis suggests that strategic implications dictate what each company must prove to secure its future. Apple needs to demonstrate it can maintain its position as the entry point for consumer electronics in the AI era, ensuring its ecosystem remains the primary interface for users. OpenAI must prove its hardware products have independent value and that its R&D process can withstand legal scrutiny, particularly regarding the allegations of trade secret theft. Musk also needs to prove that grand plans like space data centers can move from a capital market story to actual engineering, validating the feasibility of deploying 1 million computing satellites with 150 kilowatts of peak power each. The mutual insults between Musk and Tang Tan have special promotional value, helping them mobilize supporters, boost attention to new models, and reduce complex technological competition to a personal conflict.
However, a war of words ultimately cannot answer the real questions facing the industry. The next round of arguments could start at any time, but the true stakes lie in the ability of these companies to deliver on their promises and control the future of AI access. This marks a critical juncture where legal battles, capital narratives, and technological execution will determine the winners of the next generation of AI platforms.