20VC: AI's Biggest Questions: The Commoditisation of LLMs, Open vs Closed: Who Wins, Model Size vs Data Quality, Why Google are Vulnerable and Apple are the Dark Horse
This podcast episode explores various aspects of the AI industry, such as model size, open source versus closed systems, value distribution in infrastructure and applications, AI business models, pricing, copilots, and intelligent assistants. The participants discuss the challenges and opportunities faced by Google and Amazon in their strategic moves. They emphasize the significance of differentiation, adaptation, and innovation to stay competitive in a rapidly changing technological landscape.
Takeaways
• There will likely be only a few foundational model companies in the future.
• Model size and its rapid evolution are important factors in the AI industry.
• National and cultural datasets are crucial for context and customization in AI models.
• Open collaboration and open source models have value in generating ideas and catering to researchers.
• Value accrues in both the infrastructure and application layers of the AI industry.
• Differentiation and pricing are significant for AI business models.
• AI pricing is transitioning towards consumption-based models.
• Copilots and intelligent assistants have the potential to disrupt various industries.
• Google and Amazon face challenges in adapting to disruptive technologies and need to innovate.
• Political and social changes are necessary to ensure a fair distribution of AI's impact on society.
