Summary
Academic machine learning research is increasingly overshadowed by industry, which now conducts most ML research topics "much better." This shift is attributed to industry's superior access to compute resources and a global pool of talent. Consequently, academia is largely relegated to niche studies on older models, with little prospect of their findings being applied in real-world scenarios dominated by industry advancements.
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