9to5Mac60%

Apple sends legal letters to former employees now at OpenAI 37%

By Chance Miller23%

7/17/2026, 12:30:36 PM

BS Summary: This article contains 20 faulty reasoning types, including Recency Bias, Appeal to Authority, and Availability Heuristic, with Attempt to Sell a Product or Service as the most egregious example at 18.1% saturation with 50 hits. Analysis detected 431 faulty-reasoning hits from 276 analyzed words, generating a BS Score of 43.7% and a BS Rank of 37% (10,831 of 17,195 articles). This article is better (less manipulative) than 63.00% of the article peer group.

Last week, Apple filed a lawsuit against OpenAI in which it alleged that its former employees have stolen trade secrets “for the benefit of OpenAI.” 
As part of this process, Apple has reportedly sent letters directly to dozens of its former employees now working at OpenAI. 
According to the Financial Times, Apple has sent legal preservation letters to around 40 former workers. 
A preservation letter is a formal written notice sent to a person or organization telling them to preserve documents, records, and other evidence that may be relevant to a legal dispute. 
These letters typically spell out what should be preserved. 
This comes as Apple suspects the trade secret theft might extend beyond those named in the initial filing last week. 
As a refresher, Apple’s lawsuit names OpenAI and io Products as defendants, alongside former Apple employees Chang Liu and Tang Tan. 
You can read more about Apple’s lawsuit against OpenAI here: 
Apple sues OpenAI, accuses ex-employees of stealing trade secrets 
An email mistake derailed pre-lawsuit talks between Apple and OpenAI 
Apple lawsuit reveals how many of its former employees now work at OpenAI 
OpenAI says it has seen no evidence supporting Apple’s trade secret theft claims 
OpenAI hardware timeline unchanged after Apple lawsuit 
You can read a full copy of Apple’s initial filing here. 
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Confirmation Bias
0%
Anchoring Bias
7.6%
Availability Heuristic
12.3%
Representativeness Heuristic
0%
Hindsight Bias
0%
Overconfidence Bias
0%
Framing Effect
12.3%
Loss Aversion
2.9%
Status Quo Bias
2.5%
Sunk Cost Effect
0%
Optimism Bias
6.9%
Pessimism Bias
0%
Negativity Bias
10.9%
Self-Serving Bias
4.7%
Fundamental Attribution Error
0%
Actor-Observer Bias
0%
In-Group Bias
0%
Out-Group Homogeneity Bias
0%
Halo Effect
0%
Horn Effect
0%
Dunning-Kruger Effect
0%
Recency Bias
16.3%
Primacy Effect
5.8%
Blind-Spot Bias
0%
Ad Hominem
0%
Straw Man
0%
Appeal to Authority
14.9%
False Dilemma
0%
Slippery Slope
0%
Circular Reasoning
0%
Hasty Generalization
3.3%
Red Herring
0%
Bandwagon
2.5%
Appeal to Emotion
3.3%
Begging the Question
0%
Post Hoc (False Cause)
6.2%
Tu Quoque
0%
Burden of Proof
12%
Appeal to Nature
0%
Composition/Division
0%
Anecdotal
0%
No True Scotsman
0%
Ambiguity (Equivocation)
2.2%
Gambler’s Fallacy
0%
Middle Ground
0%
Personal Incredulity
0%
Special Pleading
0%
Genetic Fallacy
0%
Unattributed Quote
0%
Quote-first Misdirection
0%
Biased Writer Voice
9.1%
Indoctrination
2.5%
Politically Left Leaning Bias
0%
Politically Right Leaning Bias
0%
Attempt to Sell a Product or Service
18.1%

276 words analyzed.

Analysis

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