Clearer Thinking with Spencer Greenberg
Read the full transcript here.
What are large language models (LLMs) actually doing when they churn out text? Are they sentient? Is scale the only difference among the various GPT models? Google has seemingly been the clear frontrunner in the AI space for many years; so how did they fail to win the race to LLMs? And why are other competing companies having such a hard time catching their LLM tech up to OpenAI's? What are the implications of open-sourcing LLM code, models, and corpora? How concerned should we be about bad actors using open source LLM...