The author further discusses the potential of LLMs in various applications, including real-time data usage, electronic retailing, and voice recognition. The article also explores the impact of LLMs on occupations, particularly coders, and the potential for increased productivity. However, the author cautions against making investment decisions based solely on these insights, emphasizing the need for deep domain knowledge and refined economic intuition.
Key takeaways:
- The development of Large Language Models (LLMs) has created a frenzy similar to a gold rush, with significant surprise and rapid information spreading leading to a shift in investment direction.
- The release of ChatGPT3.5 in November 2022 demonstrated autocompletion capabilities that surprised observers and led to a significant increase in interest and awareness.
- The metaphor of a gold rush suggests that success in the LLM market may not come immediately, but will likely emerge from thoughtful exploitation of the opportunity and the development of a supportive supply chain.
- LLMs have the potential to significantly enhance productivity in various occupations, such as coding, but the impact on the overall value of organizations employing these more productive employees is less clear.