Building a community for Machine Learning researchers and developers to share their findings and build with AI models is key to unlocking innovation in this field. This approach was taken by Ben Firshman, founder of Replicate, an open-source community that allows users to "replicate" Machine Learning models, making it easier for others to implement and build on those models. The community has grown significantly since its founding in 2019, with thousands of models contributed by users, and a tool suite to support the open source community. Ben's experience highlights the importance of foresight, luck, and segmenting the market to understand how different types of companies interact with AI technology. He notes that startups and small teams within large companies are often more successful in building products on top of AI models, and that developers are drawn to AI because of its magical capabilities and ease of use. Fine-tuning Large Language Model (LLM) models is becoming a specialized use case, and it's easier to build prototypes but requires more duct tape and heuristics to create robust products. Ultimately, developers are building new products with a clear problem in mind or a desire to incorporate specific technology, often requiring iteration and experimentation.