AI progress is shifting toward infrastructure and trustworthy evaluation
Cheaper advanced packaging, synthetic-data pipelines, AI-assisted chip design, semantic model communication, and general predictive world models are attacking practical bottlenecks behind AI deployment. Epoch AI's finding that only 4 of 15 audited benchmarks were verifiable highlights the growing gap between claimed progress and dependable measurement.
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Updated Sep 19, 2026