OpenAI’s latest AI model, codenamed "Orion," is making waves—but maybe not the splash that was expected. This week, Robert and Haley dive into why Orion’s improvements over GPT-4 might feel a bit underwhelming. We discuss the challenges of finding high-quality training data, OpenAI's shift towards generating synthetic data, and how limitations in scaling up large language models are impacting the entire AI field.
Key Highlights:
- The New Reality for AI: Why OpenAI, Google, and Anthropic are seeing diminishing returns on bigger language models.
- The Data Dilemma: How AI companies are running out of new data sources and the implications of synthetic training data.
- Shifting Focus: What scaling “inference” over “training” could mean for the future of AI.
Join us as we explore the evolving path to AGI and the changes reshaping AI development strategies.
