If you're building a product that's right on the edge of the capabilities of the models, keep going because you're doing something right. Give it another couple of months, and the models will be great, making your product really sing.

The better the AI models become, the more opportunities there are for startups to leverage these advancements. Startups need to be proactive in building their products in anticipation of new model releases rather than reacting to them.

Ultimately, success in AI relies on the ability to effectively stitch together existing models into products that users genuinely love, rather than reinventing the wheel.

The models are getting smarter, faster, cheaper, and safer with each iteration. The AI models you're using today are the worst you'll ever use, and the future will be very different from today.

To avoid being steamrolled by OpenAI, companies should ask themselves if they are excited about a 100x improvement in AI models. Those that are should have a clear path to how better intelligence will enhance their products.

As AI models improve, the expectation is that they will converge in quality and pricing, making it essential for startups to build software that leverages this intelligence effectively.

We often underutilize models, expecting them to solve tasks quickly without giving them enough time to iterate and improve.

I wouldn't expect AI models to one-shot entire products yet, especially if they're complicated. I prefer to implement features piece by piece and ensure each step works before proceeding.

Building good products on top of AI models is incredibly difficult.