OpenAI is currently constrained by GPU resources, which is causing bottlenecks in some features, such as the fine-tuning API and longer context windows.
OpenAI is working to develop future models that can efficiently use GPU resources and support context windows of 100,000 to 1 million tokens.
Improvements are planned to address bottlenecks in the fine-tuning API and introduce efficient fine-tuning methods.
OpenAI's future roadmap includes developing a cheaper and faster GPT-4, longer context windows, fine-tuning APIs, stateful APIs, and multi-modality.
The plugin doesn't have PMF (Product Market Fit), and some users may need the plugin while others may not.
OpenAI sees its developer community as a key asset, rather than a competitive product launch, and will support developers through APIs to develop products and improve the platform.
OpenAI recognizes the need for regulation, emphasizes the importance of open source, and addresses concerns that hosting large-scale models could be limited.
It is explained that the scaling law of AI models is still valid, and that performance can continue to improve as the size of the internal data increases.
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