Critical impact
I struggle to believe that AI R&D is ingenious
What happened
The post argues that many claims about AI research being highly innovative are overstated, pointing out that much progress is incremental and driven by existing tools rather than truly novel ideas. It highlights how hype can distort expectations and misallocate resources in the field.
Why it matters
If the industry takes this view seriously, it may shift focus toward more realistic, incremental improvements and better evaluation metrics, potentially slowing the pace of overhyped breakthroughs.
Is this a big deal?
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