The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
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
Nov 24, 2023
Des Traynor, Co-founder of Intercom, and Yann LeCun, AI pioneer at Meta and NYU, dive into the future of AI. They dissect the fight between open-source and closed models, emphasizing the rise of collaborative approaches. The duo also tackles the commoditization of large language models and the critical importance of data diversity. They explore the shift in AI business models towards outcome-based pricing and debate the roles of intelligent assistants—highlighting Apple's unique position against giants like Google and Amazon.
33:24
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Quick takeaways
- There will likely be only five or six major foundational model companies in the world in the next three to five years, with companies like Meta, Google, Microsoft, OpenAI, and Apple leading the way in training these models.
- The debate between open-source and closed AI models continues, with open-source allowing for greater collaboration, innovation, and contributions, while closed models offer advantages in terms of understanding, control, and differentiation.
Deep dives
The future of AI model providers
According to the panelists, there will likely be only five or six major foundational model companies in the world in the next three to five years, with companies like Meta, Google, Microsoft, OpenAI, and Apple leading the way in training these models. While some believe in the commoditization of language models (LLMs), others argue that there is still a lack of equal quality among LLMs and that it is a work in progress.
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