Summary & Key Takeaways ​

• Ted Sanders explains LLM performance is highly multidimensional.
• A model's strength in one area doesn't guarantee it in another.
• Model size generally correlates with performance, reliability, and cost.
• Larger models often have better recall of esoteric facts.
• OpenAI's version numbers indicate release order, relationships, and improvement magnitude.

Our Commentary ​

This quote from Ted Sanders is gold. We've all felt the frustration of a 'smart' model failing at a simple task. The multidimensionality of LLM performance is something I think gets lost in the hype. And the naming conventions? It's good to have some clarity there, even if it still feels a bit like alphabet soup sometimes. It's a reminder that these aren't magic boxes.