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
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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.
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Model Size vs. Data Quality
- Model size has been correlated with performance, but this is being challenged by compression techniques.
- Data quality becomes crucial during fine-tuning, rather than at the base LLM level.
Open vs. Closed AI
- Open-source AI benefits from global collaboration and diverse ideas, promoting rapid innovation.
- Closed AI models hinder research due to limited access and analysis capabilities.
Value Accrual in AI
- Infrastructure and application layers in AI have equivalent market caps, but the former is highly concentrated.
- Differentiation is key to capturing value, whether through software, network effects, or distribution.