New York Times reporter sues Google, xAI, OpenAI over chatbot training88%

By Blake Brittain0%

12/23/2025, 8:23:15 AM

BS Summary: This article contains 16 faulty reasoning types, including Negativity Bias, Begging the Question, and Halo Effect, with Framing Effect as the most egregious example at 56.4% saturation with 224 hits. Analysis detected 927 faulty-reasoning hits from 397 analyzed words, generating a BS Score of 81.9% and a BS Rank of 88% (2,054 of 16,813 articles). This article is worse (more manipulative) than 87.80% of the article peer group.

December 23, 2025  6:10 AM PST 
Google research facility in Mountain View, California, U.S., May 13, 2025. 
REUTERS/Carlos Barria/File Photo 
(Reuters)  An investigative reporter best known for exposing fraud at Silicon Valley blood-testing startup Theranos sued Elon Musk’s xAI, Anthropic, Google (GOOGL.O), OpenAI, Meta Platforms (META.O) and Perplexity on Monday for using copyrighted books without permission to train their artificial intelligence systems. 
New York Times reporter and “Bad Blood” author John Carreyrou filed the lawsuit in California federal court with five other writers, accusing the AI companies of pirating their books and feeding them into the large language models (LLMs) that power the companies’ chatbots. 
The lawsuit is one of several copyright cases brought by authors and other copyright owners against tech companies over the use of their work in AI training. 
The case is the first to name xAI as a defendant. 
A spokesperson for Perplexity said that the company “doesn’t index books.” 
Spokespeople for the other defendants did not immediately respond to requests for comment on the lawsuit. 
Unlike other pending cases, the writers are not seeking to band together in a larger class action  a type of lawsuit they said favors defendants by allowing them to negotiate a single settlement with many plaintiffs. 
“LLM companies should not be able to so easily extinguish thousands upon thousands of high-value claims at bargain-basement rates,” the complaint said. 
Anthropic reached the first major settlement in an AI-training copyright dispute in August, agreeing to pay $1.5 billion to a class of authors who said the company pirated millions of books. 
The new lawsuit said class members in that case will receive “a tiny fraction (just 2%) of the Copyright Act’s statutory ceiling of $150,000” per infringed work. 
Monday’s complaint was filed by attorneys at law firm Freedman Normand Friedland including Kyle Roche, whom Carreyrou profiled in a 2023 New York Times article. 
During a November hearing in the Anthropic class action, U.S. District Judge William Alsup criticized a separate law firm Roche co-founded for gathering authors to opt out of the settlement in search of “a sweeter deal.” 
Roche declined to comment on Monday. 
Carreyrou told the judge at a later hearing that stealing books to build its AI was Anthropic’s “original sin” and that the settlement did not go far enough. 
Reporting by Blake Brittain in Washington; Editing by David Bario and Alistair Bell 
Actor-Observer Bias
0%
Anchoring Bias
7.8%
Availability Heuristic
0%
Blind-Spot Bias
0%
Confirmation Bias
0%
Dunning-Kruger Effect
0%
Framing Effect
56.4%
Fundamental Attribution Error
0%
Halo Effect
17.1%
Hindsight Bias
0%
Horn Effect
0%
In-Group Bias
0%
Loss Aversion
12.3%
Negativity Bias
34%
Optimism Bias
0%
Out-Group Homogeneity Bias
0%
Overconfidence Bias
0%
Pessimism Bias
16.4%
Primacy Effect
0%
Recency Bias
0%
Representativeness Heuristic
0%
Self-Serving Bias
2.8%
Status Quo Bias
0%
Sunk Cost Effect
0%
Ad Hominem
9.1%
Ambiguity (Equivocation)
2.8%
Anecdotal
0%
Appeal to Authority
17.1%
Appeal to Emotion
12.6%
Appeal to Nature
0%
Bandwagon
0%
Begging the Question
17.9%
Burden of Proof
5.5%
Circular Reasoning
0%
Composition/Division
6.8%
False Dilemma
0%
Gambler’s Fallacy
0%
Genetic Fallacy
0%
Hasty Generalization
9.3%
Middle Ground
0%
No True Scotsman
0%
Personal Incredulity
0%
Post Hoc (False Cause)
0%
Red Herring
0%
Slippery Slope
5.5%
Special Pleading
0%
Straw Man
0%
Tu Quoque
0%

397 words analyzed.

Analysis

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