Startups should focus on building the best products on top of existing AI models, as competition will come from other startups rather than the AI giants themselves.

Startups should focus on building valuable but less glamorous products that larger companies like OpenAI won't prioritize.

While many startups may attempt to replicate OpenAI's offerings, the real potential lies in exploring deeper, second-order insights that can lead to groundbreaking innovations.

AI startups should focus on niche markets and specific applications to avoid being overshadowed by larger companies like OpenAI and Google.

Many successful startups serve markets that have never been served before or charge more than their direct competitors, indicating a strong value proposition.

Many startups that tried to replicate Facebook's model failed because they didn't offer the same value or user engagement.

The key challenge for AI startups isn't whether wrappers are viable, but how to achieve sustainable differentiation in their products.

Large language models like ChatGPT can answer questions, write stories, and engage in conversation, but to build a business using this technology, you need to customize it for your specific use case to differentiate it from existing solutions.

Startups should focus on areas where deep understanding outside of the model is necessary, as these are safer spaces to operate without being overshadowed by larger labs.