Urgent.News

600+ sources. One page. See who else covered it.

Editions

AI

Sci-fi authors Scalzi and Stross decry AI's dystopian impact on their craft

LLMs are theft by 'absolute scum' who make life harder for writers by putting them in copyright peril

Sci-fi authors Scalzi and Stross decry AI's dystopian impact on their craft

Prominent science fiction authors Scalzi and Stross have expressed strong opposition to the use of artificial intelligence in the creative process. Charles Stross, who has written for The Register in his Laundry Files novels, strongly condemns large language models, stating that no serious author should use them. He claims Anthropic AI has pirated eBooks to train their models, and that they are fine-tuning the models to maximize profits.

Stross calls AI companies "absolute scum" for stealing copyrighted material. Similarly, John Scalzi warns against incorporating AI into any aspect of the publishing process. He advises authors to avoid AI editing, art, translation, and other uses, as this could call into question the originality of their work. While acknowledging there may be some valid uses for AI as a decision-support tool, Stross believes they should never replace the author's own work.

Both authors express concern that AI could disadvantage new writers who lack pre-ChatGPT experience, and warn that AI tools are making it harder for all writers.

Written by urgent.news from The Register's reporting — not their text. Machine-written — it may contain errors, so check the original before relying on it.

Also reported by 1 other outlet

Read the original at theregister.com →

More in AI

Toast 1: A New Embedding Model That Rivals OpenAI at a Fraction of the Cost

Toast 1: A New Embedding Model That Rivals OpenAI at a Fraction of the Cost Mixedbread AI announced Toast 1, a new embedding model that claims to match or exceed OpenAI's text-embedding-3-large on…

  • Toast 1 is a new embedding model from Mixedbread AI
  • It rivals OpenAI's text-embedding-3-large at lower cost
  • Toast 1 supports 50+ languages with variable dimensionality

I Ran 4,200 Trials Testing LLM Agent Reliability. Here’s What Broke.

We know when an AI agent gets a response from a tool, getting a response back doesn’t necessarily mean that response should be trusted.

  • I conducted 4,200 trials to test LLM agent reliability.
  • ReliAgent identified signals for cautious response treatment.
  • Distinction between model behavior and detector failure crucial.

Maximizing Your Claude Code Sessions: 7 Tips from Anthropic's Own Engineers

Maximizing Your Claude Code Sessions: 7 Tips from Anthropic's Own Engineers Anthropic published a guide on maximizing the value of Claude Code sessions, and it hit the Hacker News front page with 130…

  • Provide clear project context before starting Claude Code sessions
  • Use CLAUDE.md file for persistent context and instructions
  • Break work into small, verifiable tasks for testing and error detection

Introducing Murya AI

Dear DEV Community, It feels great to be here, and thank you for the opportunity to be a part of this platform! This is my first post, and I am thrilled to share a recent project that kept me working…

  • Murya AI is a Hausa language text-to-speech project
  • Developed by a native Hausa speaker, MIT-licensed
  • Attracted 10,000 page views in first month