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English(EN) The breakthrough that solved Navier-Stokes in 88 hours used 130 billion output tokens. It seems clear that other breakthroughs will be possible, especially as m

AI用1300亿token解决了纳维-斯托克斯方程，预示着对更多算力的需求

作者 PulseAugur 编辑部 · [1 个来源] ·

在解决纳维-斯托克斯方程方面取得了一项重大的计算突破，耗时88小时使用了1300亿输出token。这一成就表明，随着先进AI模型的发展，解决其他复杂问题也将成为可能。这一事件凸显了对计算资源日益增长的需求，以推动未来的AI进步。 AI

影响 这一突破表明AI能够应对复杂的科学挑战，可能加速科学发现，并凸显了对先进计算基础设施日益增长的需求。

排序理由 该集群描述了使用AI解决复杂科学问题的研究突破，预示着未来的研究潜力和计算需求。[lever_c_demoted from research: ic=1 ai=1.0]

在 Bluesky Jetstream — AI desk 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AI用1300亿token解决了纳维-斯托克斯方程，预示着对更多算力的需求

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该集群描述了使用AI解决复杂科学问题的研究突破，预示着未来的研究潜力和计算需求。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Bluesky Jetstream — AI desk TIER_1 English(EN) · emollick.bsky.social ·

    解决纳维-斯托克斯方程的突破耗时88小时使用了1300亿个输出token。很明显，其他突破也将成为可能，尤其是在m

    The breakthrough that solved Navier-Stokes in 88 hours used 130 billion output tokens. It seems clear that other breakthroughs will be possible, especially as models get better. However much compute we have, it is increasingly likely that we are going to need more compute.

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