Ferenc Huszár • 1/31/2026

Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On

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The author revisits a controversial 2016 blog post titled 'Deep Learning is Easy,' analyzing which predictions were wrong (e.g., architecture tweaks, Bayesian deep learning) and which were insightful (e.g., simplicity's power, generative models). It discusses how the field evolved, highlighting the unexpected impact of scaling laws and transformers versus theoretically inspired designs.

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#Machine Learning #Neural Networks #Transformers
Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On

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