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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Foundational Model Consolidation
- Only a handful of foundational model companies will dominate the AI landscape.
- OpenAI currently leads in quality, but alternatives are emerging and improving rapidly.
Commoditization of LLMs
- Open-source equivalents to OpenAI's models are gaining momentum due to market forces.
- Commoditization of these expensive and complex technologies is inevitable.
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.