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Tri Dao: AI's next unlock is incremental optimization, not new architecture

By PulseAugur Editorial · [1 sources] ·

Tri Dao, speaking at the International Conference on Machine Learning, stated that the next significant architectural breakthrough in AI is unlikely to come from a single innovation. Instead, he believes progress will be incremental, focusing on optimizing kernels, inference stacks, and fleet operations. Dao emphasized that much of this crucial development work is being conducted in the open-source community. AI

IMPACT Suggests a shift in focus for AI development towards optimization rather than novel architectures.

RANK_REASON An executive's opinion on future AI development directions at a conference.

Read on X — Together (inference / OSS) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Tri Dao: AI's next unlock is incremental optimization, not new architecture

COVERAGE [1]

  1. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    We sat down with @tri_dao at ICML to ask where the next big architecture unlock comes from.

    We sat down with @tri_dao at ICML to ask where the next big architecture unlock comes from. His answer: There isn't one. It's kernels, inference stacks, and fleet optimization, layer by layer. And most of that work is happening in the open. https://t.co/nDIeTdowAt

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