The author also highlights the potential of LLMs in software development, emphasizing the importance of "prompt engineering" or programming in natural language. They believe that LLMs can enable users to interact casually with complex technology and create their own tools. The author concludes by predicting a shift of tech jobs from big tech to smaller companies and domains, facilitated by the capabilities of LLMs.
Key takeaways:
- The author believes that large language models (LLMs) are highly effective tools for programming and can make individuals and small teams more productive than large corporations.
- LLMs are seen as a fundamentally democratic technology, with falling resource costs making them accessible to individuals and allowing them to escape surveillance capitalism.
- The author argues that the open-source community is capable of creating more powerful and flexible tools than big tech companies, and that the barrier to contribution is almost nil due to the training corpus being natural language.
- The author predicts a migration of tech jobs from supporting big tech to smaller companies and projects, enabled by the capabilities of LLMs.