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· · 来源:basic资讯

"For a long time, roboticists have used DC [direct current] motors to make robots move," says Mike Tolley at the University of California San Diego.

Compute grows much faster than data . Our current scaling laws require proportional increases in both to scale . But the asymmetry in their growth means intelligence will eventually be bottlenecked by data, not compute. This is easy to see if you look at almost anything other than language models. In robotics and biology, the massive data requirement leads to weak models, and both fields have enough economic incentives to leverage 1000x more compute if that led to significantly better results. But they can't, because nobody knows how to scale with compute alone without adding more data. The solution is to build new learning algorithms that work in limited data, practically infinite compute settings. This is what we are solving at Q Labs: our goal is to understand and solve generalization.

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M5 Pro and M5 Max are built using the new Apple-designed Fusion Architecture and engineered from the ground up for AI. This innovative design combines two dies into a single system on a chip, providing tremendous performance boosts. M5 Pro and M5 Max feature a new up-to-18-core CPU with 6 super cores, the world’s fastest CPU core,1 and 12 all-new performance cores, optimized for power-efficient, multithreaded pro workloads — altogether delivering up to 30 percent faster performance.3 M5 Pro is designed for users running complex workflows, like coders optimizing algorithms and photographers processing massive image libraries, while M5 Max is for those pushing the absolute limits, such as engineers running rigorous simulations.。快连下载-Letsvpn下载对此有专业解读

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