The article suggests that the internet's open-source model could be a successful approach for AI, allowing everyone access to AI building blocks. It warns against the dangers of a lack of open-source models, as seen with app stores, and the potential for regulatory capture, where big tech companies receive preferential treatment. The article concludes by calling for greater investment in AI research and innovation, particularly from smaller organizations and startups, and for a "moonshot mentality" in AI development.
Key takeaways:
- There is a growing concern about the control and profit-driven nature of AI development, with calls for more human-centric and open-source approaches.
- Big Tech's monopolistic practices have previously limited innovation and there are fears that the same could happen with AI, potentially leading to a disparity between the 'AI haves and have-nots'.
- There are differing views on AI regulation globally, with the EU focusing on privacy, China on social cohesion, and the US on potential harm.
- Experts argue that the US needs to invest heavily in research, small organizations, and startups to foster broad participation and innovation in AI, rather than allowing a few major players to dominate the field.