Why AI Research Needs More Than Just Bigger Models
For the past decade, the story of artificial intelligence has been written in scale. More data, more GPUs, bigger clusters, and larger models have driven progress from image recognition to language generation. But anyone who has spent time in a lab — or watched a promising system fail on a simple edge case — knows that brute force alone is not a strategy. Real progress in AI research now depends on asking harder questions about efficiency, robustness, and what we actually wa
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