Vivold Consulting

Judge rejects Anthropic bid to appeal copyright ruling, postpone trial

Key Insights

A federal judge denies Anthropic's request to appeal a copyright ruling before a December trial, potentially exposing the company to significant damages for allegedly using pirated books to train its AI model.

Stay Updated

Get the latest insights delivered to your inbox

A federal judge in California has denied Anthropic's request to appeal a copyright ruling ahead of a scheduled trial in December. The ruling could make the AI company liable for billions in damages for allegedly using pirated books to train its chatbot, Claude.

Key developments:

- Class action lawsuit: Authors Andrea Bartz, Charles Graeber, and Kirk Wallace Johnson filed a lawsuit accusing Anthropic of copyright infringement by storing pirated books in a central library, potentially exceeding permitted AI training use.

- Fair use ruling: Judge William Alsup previously ruled that the company's training constituted fair use but allowed the case to proceed due to the storage of pirated books violating authors' rights.

- Trial schedule: The trial is set for December 1, 2025, and could result in substantial piracy-related damages against Anthropic.

This legal battle highlights the ongoing challenges AI companies face regarding copyright issues, emphasizing the need for clear guidelines and ethical practices in AI training methodologies.

Related Articles

An AWS knowledge-graph deployment turned 6-month research cycles into 3 weeks - and the blueprint transfers far beyond pharma

An AWS GraphRAG deployment in pharmaceutical research cut R&D cycles by 87% - initial discovery that took six months now closes in three weeks - by fusing siloed internal databases and public literature into one queryable knowledge graph on Amazon Neptune Analytics and Bedrock (running Claude). Every answer comes with verifiable citations and a mapped reasoning path, which is exactly what regulated industries need for compliance. The architecture is modular and, crucially, transferable: any enterprise drowning in fragmented legacy data can copy this pattern.

SpaceX, Anthropic, and OpenAI listings will out-value every US VC-backed exit since 2000 - reshaping vendor economics for everyone

The new NVCA-Pitchbook Venture Monitor dropped a stunning claim: the pending OpenAI and Anthropic IPOs, together with SpaceX's listing, will generate more value than every US VC-backed exit since 2000 combined. SpaceX is already public at $1.77 trillion, and with both AI labs pushing toward trillion-dollar debuts, the trio should land north of $4 trillion - against roughly $70 billion in total US IPO proceeds last year. For anyone buying AI services, the labs' shift to public-market scrutiny will reshape pricing, transparency, and vendor stability.

A 14-person open-source team just became the default way 8.9M developers run local AI - and a lever for slashing inference bills

Ollama, the open-source tool that lets developers run open-weight AI models on their own machines in minutes, raised a $65M Series B led by Theory Ventures ($88M total), revealing it now serves 8.9 million developers monthly and sits inside 85% of the Fortune 500 - with just 14 employees. Founders Jeff Morgan and Michael Chiang previously built Docker Desktop, and they're repeating the play: abstract away the hardware pain, then monetise a cloud tier priced on GPU time rather than tokens. The backdrop is the industry's loudest cost debate: every company with heavy inference bills is under existential pressure to shift routine workloads to open models.