Title: Sharing Financial Models in an AI-Driven World
In the realm of AI, an important question often overlooked is how to fairly distribute financial benefits to those involved in its development and use. This question has sparked discussions among industry leaders, including Bill Gross, founder of Idealab and pioneer in technology like Lotus.
In recent times, commodities like disseminated information, digital storage, and knowledge acquisition have virtually no cost due to advancements in technology, including AI. This has led to the idea of "Oxygen is free," referencing the ease of obtaining digital commodities.
Bill Gross also discussed the evolution of AI, highlighting the exponential growth of technology, making it difficult to predict the unintended consequences of AI. This brings up concerns related to copyright theft, misinformation, bias, and rogue AI, among others.
One of the most significant ideas discussed by Gross was the concept of revenue-sharing models, which could potentially solve the issue of copyright theft. He used the example of platforms like YouTube and Spotify, which adopted revenue-sharing models and saw improvements in managing copyrighted content.
By adopting such models, companies could avoid enforcing a multitude of unenforceable behavior restrictions. This would allow creators with intellectual property to profit from the use of their work in AI engines, giving them a royalty check every month.
This idea, when applied, could revolutionize the way we approach AI, making it more equitable and fostering positive impacts on various aspects of life. However, we must ensure that we fully understand and address the unintended consequences of AI.
The media often highlights the potential of big money in AI, with venture capitalists (VC) investing heavily in promising startups. This raises concerns about the equitable distribution of these financial gains, especially among those who contribute to AI development and use.
Gross suggested that traditional revenue-sharing models, like those used by YouTube and Spotify, could be applied to AI, allowing creators to profit from the use of their intellectual property, potentially bridging the gap between big money and fair distribution in the AI sector.
