Situational Awareness: From GPT-4 to AGI - Compute, Algorithms, and Unhobbling

Explore a thought-provoking analysis of artificial general intelligence (AGI) development in this 43-minute video featuring insights from ex-OpenAI employee Leopold Aschenbrenner. Delve into the progression from GPT-4 to AGI, examining key factors such as compute power, algorithmic efficiencies, and data limitations. Gain a deeper understanding of deep learning trends, progress decomposition, and the concept of "unhobbling" in AI development. Investigate predictions for the next four years in AI advancement and consider the potential for accelerated progress. Engage with critical discussions on the future of AI and its implications for society through this comprehensive exploration of situational awareness in the field of artificial intelligence.

- Intro
- Leopold Aschenbrenner on X
- Hacker News thread
- Situational Awareness overview
- Part I - From GPT-4 to AGI
- Trends in Deep Learning
- Progress decomposition
- Compute
- Algorithmic efficiencies & data wall
- Unhobbling tips & tricks
- The next 4 years
- Are we going even faster?
- Conclusion