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.

Orion and the AI Plateau: Why Language Models May Be Hitting a Ceiling 18:13 Share

The Quantum Drift

Shownotes Transcript

Orion and the AI Plateau: Why Language Models May Be Hitting a Ceiling