Conclusion:
As the foundational layer of language models is becoming increasingly difficult to improve with more data, the quality of the data that these models are trained on becomes a key differentiator. xAI’s Grok benefits from a vast dataset of diverse and up-to-date information in multiple formats, as well as a pre-existing user base of 500mm people to rapidly improve its models. With high quality real-time data and the capital to scale, Grok has the opportunity to become the most up-to-date, customizable and context-aware language model in the race to achieve AGI.
https://chamath.substack.com/p/large-language-models-how-to-train
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