Apple reveals ‘startling proof’ of its trade secrets being utilized by ex-employee at ChatGPT-related company

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Apple Unveils Alarming Evidence Against OpenAI

In a dramatic turn in its ongoing litigation with OpenAI, Apple has unveiled what it terms “stunning evidence” regarding the misuse of its proprietary information by a former employee.

The assertion stems from the forensic examination of a MacBook previously utilized by Chang Liu, which purportedly indicates that Apple’s trade secrets were exploited during his tenure at the developer of ChatGPT.

In a recent submission to the court, Apple disclosed that preliminary forensic analysis of Liu’s MacBook identified a clandestine download of a confidential circuit schematic intended for Apple products.

This symmetric circuit design was allegedly employed by Liu while at OpenAI. Furthermore, Apple asserts that Liu utilized this circuit data to conduct simulations and collaborate with an AI agent in refining circuit operations.

Details of Liu’s Alleged Misconduct

According to Apple’s supplementary brief filed in a federal court in the United States, Liu accessed the Apple trade-secret file in March 2026 while under OpenAI’s employment.

This file encompassed intricate schematics for a power-converter circuit, along with simulation data critical for understanding circuit functionality. The secrecy surrounding this circuit underscores its significance to Apple’s product line.

The court documents reveal that Liu originally downloaded this sensitive file from Apple’s external cloud storage following his departure from the company in January 2026, precisely on March 7.

Subsequently, on March 18, he is said to have employed this circuit information to execute a simulation using LTspice, an electrical engineering software designed for simulating and analyzing electronics.

Liu’s actions reportedly produced a minimum of three output files, which were then uploaded to his iCloud account from a different device, identified as a Mac Mini.

Insights from the MacBook Examination

The MacBook has emerged as a pivotal element in Apple’s case, as it reportedly housed files synchronized from Liu’s iCloud account.

This synchronization purportedly enabled investigators to trace Liu’s activities on the Mac Mini, which, as of this writing, has yet to be furnished for forensic analysis.

Moreover, evidence indicates that Liu communicated with colleagues about instructing OpenAI’s AI agent to navigate LTspice, effectively analyzing results and adjusting key parameters in real-time.

Additionally, Liu articulated that he was undertaking simulations for power-conversion projects, emphasizing the AI’s enhanced efficiency once it had grasped the procedural nuances.

Implications of Liu’s Continued Access

Apple is contesting the defense’s assertion that Liu’s access to its cloud storage stemmed from inadvertent device synchronization.

According to the findings, Liu continued to access and download files from Apple’s third-party cloud storage until late April 2026, well beyond the initial downloads.

This pattern directly challenges claims from the defense suggesting unknowing and unwitting downloads.

Potential Connections Between OpenAI and Apple Tools

a cell phone sitting on top of a laptop computer

Furthermore, Apple’s latest court filing raises another intriguing allegation: Liu purportedly employed software tools at OpenAI that bear the same nomenclature as Apple’s proprietary internal engineering instruments.

This revelation, which was previously unknown to Apple, possibly represents another dimension of the alleged appropriation of trade secrets.

Apple maintains that numerous devices remain to be scrutinized, including the aforementioned Mac Mini, which may further illuminate the full scope of the alleged misappropriation of its trade secrets.

Source link: Timesofindia.indiatimes.com.

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Souvik Banerjee

I’m Souvik Banerjee from Kolkata, India. As a Marketing Manager at RS Web Solutions (RSWEBSOLS), I specialize in digital marketing, SEO, programming, web development, and eCommerce strategies. I also write tutorials and tech articles that help professionals better understand web technologies.
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