Humanloop is actively hiring and aims to build a platform that could become one of the most disruptive technologies, potentially used by millions of developers in the future.

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.

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

The introduction of large language models (LLMs) provides a language interface for robots, allowing for easier task descriptions and enabling robots to perform generic tasks more effectively.

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

The advancements in large language models (LLMs) have enabled a language interface for robots, allowing them to perform a wider range of tasks more efficiently, such as laundry folding and packing egg crates.

Large language models should be referred to as large event models because they are not only effective in language but also applicable in pharmaceuticals and various other fields.