Part 2/4:

The article suggests that the industry is shifting its focus towards improving models after their initial training, potentially yielding a different type of scaling model. This shift towards the "test-time compute" paradigm, where the emphasis is on how the model thinks and responds, rather than just adding more data, could be a significant development.

The Importance of Marginal Improvements

While the jump from GPT-3 to GPT-4 was substantial, the article indicates that the increase in quality for Orion may be more modest. However, even marginal improvements can unlock a wider variety of use cases and applications. The example of the impact of the Clae 3.5 model on software development is a testament to this.

The Continued Importance of AI Infrastructure

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