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.

The trend of using engineers for marketing tasks was already underway before large language models (LLMs) became popular, as seen in my experience with Triplebyte.

Large language models (LLMs) are primarily designed to regurgitate information based on statistical patterns in the text they've been trained on, which limits their ability to invent new concepts or solutions.

Founders should not pivot to AI just because it seems trendy, but they should definitely work on projects that utilize large language models (LLMs) at their core.

Large Language Models (LLMs) function like a new operating system, being developed by labs and distributed like utilities, reminiscent of computing in the 1960s.

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.

The trend of LLMs and AI is creating numerous new dev tools, but entering this market requires a clear differentiation strategy to stand out among many competitors.

We've entered the era of 'Software 3.0,' where large language models (LLMs) serve as a new kind of computer, programmed in English.

With the rise of large language models (LLMs), distinguishing between good and bad dev tool ideas has become challenging; ideas that seemed bad yesterday may now be viable due to advancements in technology.