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 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.

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.

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.

New AI models are unlocking startup opportunities in fields like engineering, where they can significantly improve productivity and innovation.

Startups are adopting AI tools faster than large companies, providing a unique opportunity for hands-on experience and learning.

The most important question for many startups is 'Why now?' The excitement around large language models is driving this interest, as we now have capabilities we didn't have before.

To succeed in AI, startups should focus on vertical-specific and function-specific solutions that address complex problems requiring human involvement.

Large language models are becoming significantly larger and smarter, with AI labs adopting a strategy of scaling more parameters, data, and compute to improve model performance.