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.

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

OpenAI's release of GPT-2 in November 2019 marked a significant milestone with 1.5 billion parameters, followed by GPT-3, which was over 100 times larger and more capable than its predecessor.

The development of large language models (LLMs) like GPT-2 marked a significant turning point for OpenAI, showcasing the potential of AI.

With the advent of 10 trillion parameter models, we could see a leap in innovation similar to the transition from GPT-2 to GPT-3, which sparked a new era of AI companies.

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 longer models like GPT-3 are able to think through complex problems, the better they perform.

GPT-3 represents a huge leap forward, not just a small improvement over its predecessors, and researchers believe this trajectory will continue.

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.