Morning Edition · Saturday, July 4, 2026
Thinking Machines and Bridgewater Say a Small Custom Model Beats Frontier Models on Finance Tasks
A fine-tuned model built on Bridgewater's expert-labeled data reportedly cut errors by nearly 30% versus GPT, Claude, and Gemini at a fraction of the cost.
Thinking Machines Lab, the startup led by Mira Murati, and the AIA Labs unit of hedge fund Bridgewater Associates published joint research claiming that a custom fine-tuned model, trained on Bridgewater's proprietary expert-labeled data, ou…
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Part of a tracked trend
Frontier Model Efficiency Gains
Capability per unit of training and inference compute keeps improving, letting newer models match prior frontier performance far more cheaply and gradually loosening the link between raw scale and capability.
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