Filing: the NYT denies OpenAI's claims that the NYT “hacked” ChatGPT to create misleading evidence of copyright infringement, calling the claims “grandstanding”
The New York Times (NYT.N) has denied claims by OpenAI that it “hacked” the company's artificial intelligence systems …
Context & Ripple Effects
The dispute sits within the copyright case the Times launched against OpenAI and Microsoft over alleged use of its articles for model training. OpenAI had already sought dismissal of parts of that case while alleging the Times had violated its product terms to generate litigation evidence.
This filing narrows attention to the reliability and method of testing ChatGPT outputs, alongside the underlying question of whether training on news content creates copyright liability.
First-order effects
- The Times directly contests OpenAI's account of how the disputed ChatGPT outputs were obtained, preserving its ability to use those examples in support of its infringement claims.
- OpenAI and the Times must now litigate not only training and output allegations, but also the testing procedures and evidentiary weight behind particular prompts and responses.
Second-order effects
- The evidentiary fight raises the value of documented, reproducible model-output testing for both publishers bringing claims and AI companies defending them.
- Microsoft is exposed to the same factual and legal record because the Times' original case named both companies in its copyright suit over AI training.
Third-order effects
- If courts scrutinize prompting methodology closely, generative-AI copyright cases may turn increasingly on auditable evaluation protocols rather than isolated examples of outputs.
- The case reinforces a broader push toward governed training and inference inputs, where rights holders and model providers contest both the use of content and the proof needed to establish harmful reuse.
The trend: Generative-AI copyright litigation is expanding from disputes over training data into disputes over how model behavior is measured and proved.