Keep on to blur preview images; turn off to show them clearly
doing synthetic upsampling on nanotron default prompt wasn't the worst idea to track model training.
also indicative of later phase where models explore more diverse semantic paths.
Why do brilliant STEM inventors (not only in deep learning) often make irrelevant inventions later in career? Is it: * Regression to mean (great ideas are rare) * Hubris/entrenchment with age * Something else? Good counterexamples? If age-related decline is real, how would this threshold shift as lifespans extend dramatically this century? Would the "peak innovation age" stay fixed or scale as a % of total lifespan?
Distributed Learning @ deepmind | DiLoCo, DiPaCo. Continual Learning PhD @ Sorbonne
Why do brilliant STEM inventors (not only in deep learning) often make irrelevant inventions later in career? Is it: * Regression to mean (great ideas are rare) * Hubris/entrenchment with age * Something else? Good counterexamples? If age-related decline is real, how would this threshold shift as lifespans extend dramatically this century? Would the "peak innovation age" stay fixed or scale as a % of total lifespan?
Distributed Learning @ deepmind | DiLoCo, DiPaCo. Continual Learning PhD @ Sorbonne
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转眼失业快三个月了！ 被裁员后刚好赶上孩子一年级开学，陪他们过完暑假的尾巴后，这段时间一直在带孩子上下学。同时陪老婆做治疗。 现在孩子上学作息基本习惯了，学校生活也适应了，老婆的治疗也快完成了，也终于可以静下来好好想想过去两年的工作到底发生了什么，为什么会被裁员/辞退？ 这段时间也陆续接触了一些机会，因为家里的原因，几个 Offer 陆续都拒了，是时候总结一下过去，正式开始新的阶段了。
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