Even more data to support what I have been talking about. The combination of model intelligence （and this includes human expertise） has a compounding effect unlike anything I've seen.

There are too many assumptions that a large general-purpose model will be a one-size-fits-all. I don't buy it. The reality， and the research supports this， is that these different models show different strengths and capabilities.

Understanding how to tap into them in combination is a huge unlock. All engineering teams need to be thinking about this more carefully as a strategy going forward. Especially now， given the trends from frontier models in terms of selective access.