Key Drivers of the Deep Learning Boom: Open Source, GPUs, and Capital
_onionesque · x · 2026-07-20
The author points out that the key factors accelerating the deep learning boom lie in the open-source ecosystem (such as the openness of architectures like Transformers). This openness allowed the industry to accumulate sufficient funding and underlying technical experience, gradually turning AI models into "reproducible capital assets."
Additionally, the application of GPUs in early feedforward neural networks revealed the potential of scaling models. Coupled with post-financial-crisis economic stimulus funds at the time, these coincidences collectively triggered the takeoff of the AI industry.
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