The early days of AI development were marked by skepticism about the viability of language models, but persistence in technology has proven their value.

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.

Using large language models as prototyping tools can be effective; they allow for rapid development and testing of ideas before creating more specialized models tailored to specific tasks.

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

Large language models are discoveries rather than inventions; they surprise us with their capabilities, unlike engineered objects like the Boeing 787, which behave predictably.

The evolution of language models, particularly with the introduction of GPT-3, has demonstrated a significant leap in their ability to perform language tasks, even though they do not possess real-world knowledge.

Language models are currently the primary focus of AI development, which was not anticipated 15 years ago when we were exploring physical grounding in AI.

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.

When developing a new large language model product, it's essential to iterate on prompts to find what works best for your specific use case.