BookTok - meet the influencers encouraging people to read
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[-]TsviBT12d62I don't immediately see how AI progress would help super much here, though IDK and of course it could be surprising. IDK why IVF is still so expensive. See the thread here w/ GeneSmith + me: https://x.com/BerkeleyGenomic/status/2026173816351674879. But the hypotheses there are things like:
Models excel at code, but not at visual inspection. If there are visible differences (e.g. an small element is RED, but should be BLACK), a model will gleefully say that there are no differences, or that there are not important.
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As for soulmates, the science points to a paradox. The people who end up with relationships that feel uniquely "meant to be" are often the ones who stopped waiting for fate, turned towards the flawed person in front of them and said, in effect: shall we make something of this?
YuanLab.ai团队正式开源发布“源Yuan3.0 Ultra”多模态基础大模型。作为源3.0系列面向万亿参数规模打造的旗舰模型，成为当前业界仅有的三个万亿级开源多模态大模型之一。Yuan3.0 Ultra采用统一多模态模型架构，由视觉编码器、语言主干网络与多模态对齐模块组成，实现视觉与语言信息的协同建模。其中，语言主干网络基于混合专家（MoE）架构构建，包含103层Transformer，训练初始阶段参数规模1515B，通过LAEP方法创新，团队在预训练过程中将模型参数优化至1010B，预训练算力效率提升49%。Yuan3.0 Ultra的激活参数为68.8B。此外，模型还引入了Localized Filtering Attention（LFA）机制，有效强化对语义关系的建模能力，相比经典Attention结构可获得更高的模型精度表现。。关于这个话题，新收录的资料提供了深入分析