Case criticizes calls for government-managed innovation and the potential for AI licenses to be given to a select group of companies. He argues that this would abandon the bottom-up innovation approach that has driven America's success. Instead, he advocates for a level playing field where the best innovations can scale. Case calls for the continued development of open-source AI platforms and for big tech AI platforms to adopt open access provisions. He concludes by emphasizing the need for ground rules that allow entrepreneurs to participate in AI development and prevent tech leaders from monopolizing the benefits.
Key takeaways:
- The current focus on AI technology is primarily on preventing it from spinning out of control, with less attention being paid to how the AI economy should be structured and which companies should be allowed to harness AI's potential.
- Most AI innovation is currently being driven by Big Tech due to the prohibitive costs of building large language models, which could lead to these companies becoming even larger and more dominant.
- There are concerns that the focus on the potential dangers of AI could lead to the undermining of open source AI, which has enabled a global community of innovators to rapidly build and improve the technology.
- Steve Case argues that the government should not control AI innovation but should level the playing field to allow the best innovations to scale, and that AI should not be a vehicle for Silicon Valley-based Big Tech to extend its dominance.