Part 2/6:

The idea that simply feeding more data and computing power into larger models will naturally lead to smarter and more capable AI is now being challenged. Orion's performance, which excels in certain language tasks but falls short in others like coding, suggests that the path to universal AI intelligence may not be as straightforward as once believed.

The Limits of Data and the Rise of Synthetic Data

Another challenge facing Open AI is the dwindling supply of high-quality data to train their models. The company has essentially "scraped the web dry" of available data sources, leading them to explore the use of AI-generated synthetic data to train future models.

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