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This article compares the different strategies of Bloomberg and Thomson Reuters in AI model development, analyzes the shift from training large models from scratch to fine-tuning on open bases, and the impact of this trend on vertical AI applications.
The article discusses the concept of 'jagged intelligence' from Andrej Karpathy, highlighting the uneven distribution of AI capabilities across domains and arguing that the true value lies in the 'harness'—the domain-specific engineering and tooling built around generalist models. It asserts that small teams with deep domain expertise can achieve significant asymmetric advantages, particularly in cybersecurity.