On this episode, NLW examines the argument for nationalizing the AI industry. Other topics discussed include a recent ruling on AI art copyright, the legal implications of using material to train AI, the adoption of AI skills by professionals, the potential risks and benefits of AI, and the partisan debate surrounding the nationalization of the industry.
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Quick takeaways
AI art cannot be copyrighted in the US with the current understanding of human authorship, but questions remain about the extent of human input required for copyright protection.
Concerns over improper training of AI models on authors' work and the dangers of AI monopolies in the hands of big corporations.
Deep dives
AI art cannot be copyrighted
A district court judge ruled that AI art cannot be copyrighted in the US. This decision was consistent with earlier rulings that stated human authorship is an essential part of a valid copyright claim. However, the judge acknowledges the changing landscape and the need to address questions about the extent of human input required for copyright protection. The US Copyright Office has affirmed that most works generated by AI cannot be copyrighted, but AI-assisted materials may qualify for protection if arranged in a sufficiently creative way.
Authors' concerns about AI and copyright
Several authors, including Sarah Silverman, have expressed concerns about improper training of AI models on their work. There have been legal cases and controversies surrounding the use of books in training AI models, with evidence showing that training data for Meta's llama included over 170,000 books from notable authors. The issue raises questions about the legality and concentration of power in AI. Some argue that while authors are concerned, the dangers of AI monopolies in the hands of big corporations are more pressing.
Shifting perceptions of AI and generative AI tools
There is a perceived decrease in interest and excitement around generative AI tools. While usage statistics show a decline in chat GPT usage, the significance of this data is debatable. Nevertheless, the emergence of articles questioning whether the AI boom is already over indicates a shift in the narrative. The reasons for this shift could be boredom with repetitive narratives or a genuine sense of lethargy towards the technology. However, despite potential waning interest among some, professionals worldwide are actively acquiring AI skills to stay ahead in the rapidly evolving job market.
That's the argument of one Politico columnist. NLW examines the argument in depth. Before that on the Brief: A district court judge has said that AI art can't be copyrighted, but anticipates complications coming soon; Singapore workers adapting to AI the fastest; 170,000 books used in AI training dataset; and more.
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