There are two strategies to build on AI: one assumes the model won't improve, while the other assumes it will continue to get better. Most startups are currently built on the former assumption, which could lead to them being steamrolled by OpenAI's advancements.

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.

When a new AI model is announced, the first thought should be about its implications for startups, especially those funded by Y Combinator. Founders need to consider how they will compete with major players like OpenAI for consumer attention.

To evaluate whether a company is maximizing AI's potential, it's essential to assess if the AI is genuinely enhancing productivity and creativity.

The rapid advancements in AI technology are leading to a divergence in strategies among companies, with some focusing on self-improving AI while others prioritize consumer-oriented products.

The excitement around AI innovations is palpable, and we should focus on building rather than restricting these advancements.

Every time there's an OpenAI product release, startups are anxious about whether it will threaten their existence. It's a critical moment for startups to stay informed about these developments and anticipate their own innovations.

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.

Meta views OpenAI as their biggest competitor, and I respect their aggressive approach to innovation, even if their current AI efforts haven't met expectations.