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20VC: Why Foundation Model Performance is Not Diminishing But Models Are Commoditising, Why Nvidia Will Enter the Model Space and Models Will Enter the Chip Space & The Right Business Model for AI Software with David Luan, Co-Founder @ Adept
The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
Challenges of Memory in AI and Application Development
Memory poses a significant challenge in AI, categorized into short-term working memory and long-term memory. Progress has been made in short-term working memory applications like Gemini, which can process vast amounts of data for specific tasks. However, the challenge lies in developing long-term memory capabilities for AI systems. It is emphasized that AI models alone are not a final product; the focus should shift to empowering application developers to integrate long-term memory features, such as user preferences, within software systems. The success in AI application development will depend on enabling end developers to incorporate and manage long-term memory efficiently, which exceeds the mere capability of AI models itself.
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