The Verge71%

OpenAI drags Apple’s lawsuit into the court of public opinion 19%

By Jess Weatherbed63%

8/4/2026, 4:27:55 AM

BS Summary: This article contains 8 faulty reasoning types, including Self-Serving Bias, Tu Quoque, and Red Herring, with Framing Effect as the most egregious example at 25.3% saturation with 146 hits. Analysis detected 475 faulty-reasoning hits from 578 analyzed words, generating a BS Score of 28.5% and a BS Rank of 19% (21,517 of 26,410 articles). This article is better (less manipulative) than 81.50% of the article peer group.

Apple’s legal battle against OpenAI just got messier now that the ChatGPT-maker has publicly aired receipts to counter Apple’s version of events. 
In a blog post published overnight titled “Apple is getting this wrong,” OpenAI said that Apple’s lawsuit accusing it of stealing trade secrets is “careless, aggressive, and oddly personal,” sharing iMessage and email exchanges to challenge allegations central to the case. 
This isn’t a legal response from OpenAI, but it’s an attempt to sway the court of public opinion by poking contradictions into Apple’s case using cherry-picked communications. 
The lawsuit filed by Apple last month primarily revolves around former Apple employees Chang Liu and Tang Tan, who have since joined OpenAI. 
Liu was a former iPhone engineer who now works on OpenAI’s technical team, and Tan was employed by Apple for 25 years, formerly overseeing the iPhone and Apple Watch design before taking on the role of OpenAI’s chief hardware officer. 
Apple alleges they took “secret and confidential information regarding our unreleased technologies, processes, and products” with them to advance OpenAI’s hardware plans. 
Reuters reports that Apple asked for a preliminary injunction on Monday to prevent Liu, Tan, ​and OpenAI from accessing, acquiring, using, or disclosing alleged confidential information while the lawsuit moves ahead. 
“Apple’s request for a preliminary injunction is both based on false information and completely unnecessary because we do not have, nor want, any of their trade secrets,” OpenAI said in its blog post. 
“We’re much more interested in building innovative products and technologies that push the frontier.” 
Apple’s lawsuit alleges that Liu failed to return a company-owned computer and used an authentication vulnerability to access Apple’s cloud-based network storage weeks after he left the company. 
Liu is also accused of downloading confidential files from Apple’s storage system, and instructing another Apple colleague on how to do so and “avoid trouble” with the company’s security team ahead of her joining OpenAI. 
OpenAI’s clapback paints this in a different light: 
> “Apple accuses Chang Liu of accessing Apple confidential information after leaving the company, but only now admits that Apple employees reached out to him and asked for his help to locate this information. 
Apple now tries to shift the blame to “residual access”, but they also don’t disclose that this is a common issue with Apple which is caused by them failing to properly manage system access when people leave. 
What that means in practice is that former employees who are trying to do the right thing when they leave still have access to Apple files—despite not wanting them or even being aware of them.“ 
In its lawsuit, Apple also alleges that Tan asked for confidential Apple information when interviewing Apple employees for OpenAI jobs, and instructed interviewees to showcase some of the Apple components they worked on. 
In response, OpenAI says that Tan “has always been clear with the team that we do not want, and must not use, any confidential information from other companies.” 
In its blog post, OpenAI also refuted allegations that it didn’t respond to Apple’s initial inquiries, saying that Apple “now admit that their outside lawyers emailed the wrong person after confusing two Asian last names,” and has conceded that it didn’t have a discussion with OpenAI’s General Counsel. 
The ChatGPT-maker published emails of interactions between the two companies’ legal counsel, alongside iMessages Liu exchanged with an Apple employee. 
You can read them in full on OpenAI’s blog. 
Article reasoning-pattern comparisonThis article: 0.0%Jess Weatherbed: 3.2%The Verge: 3.1%Confirmation Bias0.0%This article: 0.0%Jess Weatherbed: 2.5%The Verge: 1.4%Anchoring Bias0.0%This article: 0.0%Jess Weatherbed: 2.9%The Verge: 3.3%Availability Heuristic0.0%This article: 0.0%Jess Weatherbed: 1.2%The Verge: 1.2%Representativeness Heuristic0.0%This article: 0.0%Jess Weatherbed: 0.6%The Verge: 0.6%Hindsight Bias0.0%This article: 5.7%Jess Weatherbed: 1.1%The Verge: 1.6%Overconfidence Bias5.7%This article: 25.3%Jess Weatherbed: 5.2%The Verge: 5.3%Framing Effect25.3%This article: 0.0%Jess Weatherbed: 0.8%The Verge: 0.9%Loss Aversion0.0%This article: 0.0%Jess Weatherbed: 0.5%The Verge: 0.5%Status Quo Bias0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.3%Sunk Cost Effect0.0%This article: 0.0%Jess Weatherbed: 3.9%The Verge: 3.8%Optimism Bias0.0%This article: 0.0%Jess Weatherbed: 1.4%The Verge: 2.1%Pessimism Bias0.0%This article: 5.5%Jess Weatherbed: 5.3%The Verge: 8.4%Negativity Bias5.5%This article: 13.3%Jess Weatherbed: 2.2%The Verge: 1.4%Self-Serving Bias13.3%This article: 0.0%Jess Weatherbed: 1.0%The Verge: 0.6%Fundamental Attribution Error0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.1%Actor-Observer Bias0.0%This article: 0.0%Jess Weatherbed: 0.1%The Verge: 0.5%In-Group Bias0.0%This article: 0.0%Jess Weatherbed: 0.4%The Verge: 0.3%Out-Group Homogeneity Bias0.0%This article: 0.0%Jess Weatherbed: 1.3%The Verge: 2.5%Halo Effect0.0%This article: 0.0%Jess Weatherbed: 0.3%The Verge: 0.2%Horn Effect0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.0%Dunning-Kruger Effect0.0%This article: 0.0%Jess Weatherbed: 0.8%The Verge: 1.6%Recency Bias0.0%This article: 0.0%Jess Weatherbed: 0.3%The Verge: 0.4%Primacy Effect0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.1%Blind-Spot Bias0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.9%Ad Hominem0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.3%Straw Man0.0%This article: 0.0%Jess Weatherbed: 4.1%The Verge: 3.3%Appeal to Authority0.0%This article: 0.0%Jess Weatherbed: 1.7%The Verge: 1.6%False Dilemma0.0%This article: 0.0%Jess Weatherbed: 0.3%The Verge: 1.0%Slippery Slope0.0%This article: 0.0%Jess Weatherbed: 0.3%The Verge: 0.1%Circular Reasoning0.0%This article: 0.0%Jess Weatherbed: 5.1%The Verge: 6.1%Hasty Generalization0.0%This article: 8.3%Jess Weatherbed: 0.4%The Verge: 0.2%Red Herring8.3%This article: 0.0%Jess Weatherbed: 0.5%The Verge: 0.6%Bandwagon0.0%This article: 0.0%Jess Weatherbed: 1.2%The Verge: 3.5%Appeal to Emotion0.0%This article: 0.0%Jess Weatherbed: 0.6%The Verge: 0.9%Begging the Question0.0%This article: 0.0%Jess Weatherbed: 1.4%The Verge: 2.0%Post Hoc (False Cause)0.0%This article: 12.3%Jess Weatherbed: 0.5%The Verge: 0.2%Tu Quoque12.3%This article: 0.0%Jess Weatherbed: 0.1%The Verge: 0.6%Burden of Proof0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.2%Appeal to Nature0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.2%Composition/Division0.0%This article: 0.0%Jess Weatherbed: 3.4%The Verge: 3.4%Anecdotal0.0%This article: 0.0%Jess Weatherbed: 0.2%The Verge: 0.1%No True Scotsman0.0%This article: 0.0%Jess Weatherbed: 2.4%The Verge: 2.0%Ambiguity (Equivocation)0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.1%Middle Ground0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.1%Personal Incredulity0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.2%Special Pleading0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.2%Genetic Fallacy0.0%This article: 0.0%Jess Weatherbed: 1.7%The Verge: 2.3%Unattributed Quote0.0%This article: 7.1%Jess Weatherbed: 1.3%The Verge: 1.1%Quote-first Misdirection7.1%This article: 4.7%Jess Weatherbed: 5.6%The Verge: 9.5%Biased Writer Voice4.7%This article: 0.0%Jess Weatherbed: 0.5%The Verge: 0.9%Indoctrination0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 1.3%Politically Left Leaning Bias0.0%This article: 0.0%Jess Weatherbed: 0.0%The Verge: 0.1%Politically Right Leaning Bias0.0%This article: 0.0%Jess Weatherbed: 9.2%The Verge: 3.6%Attempt to Sell a Product or S…0.0%

578 words analyzed.

Speakers

1speaker31%attributed speech397writer words
Selected voice

OpenAI

100%flagged-word coverage
181 attributed words100% of attributed speech37% writer coverage
0%7.5%15.0%Quote-first Misdirection-10.3 ptsWriter: 10.3%OpenAI: 0.0%0.0%Biased Writer Voice-6.8 ptsWriter: 6.8%OpenAI: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.