The new technology of large language models is creating unprecedented opportunities for startups, enabling tasks that previously required extensive research teams to be accomplished more easily.

As AI and large language models evolve, startups may need to hire more software engineers who understand these technologies to automate processes and drive growth post-product market fit.

Many highly skilled professionals are leaving their jobs to start new ventures because they believe large language models (LLMs) are powerful tools for innovation.

I believe we are nearing the upper limits of large language models, as the future will likely involve many smaller, specialized models rather than a few large ones. We're at the upper end of large language models, and they're rapidly becoming a commodity as they mature.

The excitement in the startup world comes from new ideas and creativity, especially with the leverage that AI provides.

The emergence of large language models has allowed us to create a conversational partner that we couldn't build before, enhancing the user experience.

The competitive landscape for AI is rapidly evolving, similar to the early days of cloud computing, with new companies emerging to address specific needs, such as cybersecurity for large language models.

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.

Developers are increasingly finding that a significant portion of their code is being generated by large language models, which raises questions about the future impact of these models on society.