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Scaling Law加持下,这个名为Seed Prover 1.5的模型,在16.5小时内,顺利解决IMO 2025的前5道题目,在仅失一题的情况下拿到35分,达到今年IMO的金牌线。
AI日报12月24日•AIbase1、字节跳动发布 Seed Prover1.5:推动形式化数学推理的新进展2、阿里通义开源语音交互大模型Fun-Audio-Chat-8B!超低延迟,能读懂情绪3、MiniMax M2.1震撼开源!100亿激活参数编码模型登顶SOTA,多语言编程全面超越Gemini3Pro与Claude 4.54、知乎2025年度 AI 产品榜单揭晓,豆包位居榜首5、Anthro ...
12月24日消息,字节跳动 Seed 团队发布了新一代形式化数学推理模型 Seed Prover 1.5 。该模型基于全新的 Agentic 架构 与大规模强化学习训练,在多项高难度数学评测中实现突破, 刷新了形式化数学推理模型的性能纪录 。
根据Andrej Karpathy在Twitter上的分析,Python的random.seed()函数在以整数正负值(如3和-3)初始化时,会因为源码中对种子取绝对值处理,导致生成完全相同的随机数流[来源:Karpathy Twitter,Python random官方文档,CPython GitHub]。这种行为在AI和机器学习应用中容易引发数据 ...
According to Andrej Karpathy on Twitter, the Python random.seed() function produces identical random number generator (RNG) streams when seeded with positive and negative integers of the same ...