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.

There is a growing concern about the ethical implications of AI, particularly regarding its potential to cause social disruption and existential threats if not managed responsibly. The development of large language models raises serious ethical questions due to biases and preferences embedded in the data and the teams that built them.

While there are significant potential benefits to large language models, we must tread carefully due to the ethical minefield they present.

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.

Generative AI and large language models, like ChatGPT, are incredibly powerful technologies that will soon become even more powerful.

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.

Many of us will write differently in the future, not just relying on large language models to generate content for us, but using them as tools to discover new ideas.

By allowing models to think longer, large language models can leverage more compute on the fly, enhancing their intelligence for complex problems.

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.