先见,必然未明。创新路上,我们一同求索。 - 当人们说“某人真有先见之明”时,它本身就已经是“后见之明”。 任何创新,无论技术还是商业,都必须经过验证。验证的过程,往往是漫长、混乱、挣扎,充满失败的——甚至,验证的结果也可能是被证伪。 幸运的是,自人类在地球上扎根至今,创意不息,创新不止。 ⌈先见未明⌋ 希望与你一起,发掘和记录生生不息的科技创新,探索创新背后的真价值,不人云亦云,不后见之明。
Publishes | Monthly | Episodes | 14 | Founded | 2 years ago |
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Language | Category | Technology |
本期嘉宾视觉设计师Lok,一个“职业生涯被AI对半评分”的真实样本——正统美术院校毕业,5年工作经历,恰好覆盖生成式AI的“史前”到“史后”。
作为与AI交集较深的职业之一,Lok的履历,从最初的普通品牌视觉设计岗,变成在科研机构里担任视觉体验师。
这是一个真实个体不断打碎自我、重建绝活的过程。从他的经历出发,我们讨论了几个问题:
* 初级设计师的路被堵死了吗?
* 专业能力作废了吗?如果 AI 生成能60分凑合用、如果知识唾手可得,专业度和职场竞争力还是正相关吗?
* 千... more
AI资讯大爆炸,早知道,不如真知道。
新开一档AI新闻观察栏目,每周精选最值得关注的AI动态,尽可能为大家做客观、多维的AI趋势洞察。
以下是本期内容:
02:01 英特尔、谷歌们继续”围剿“英伟达
为何CUDA是英伟达AI霸主地位的护城河
TPU的诞生背景与发展经历
05:32 Transformer被优化:更省内存、更省计算资源
非Transformer架构的进展与猜想
Infini-attention论文原文
MoD论文原文
09:08 ChatGPT向付费用户开放GP... more
过年期间听了一档YC集团合伙人的播客,聊到AI创业中的tarpit ideas(直译是“沥青坑想法”,意指某些创业想法看似fancy,但其实背后有种种难以解决的结构性问题,实际执行后会让你进退维谷,宛如深陷沥青坑)。
其中有一段讨论挺有趣。他们观察到当下很多人选择“摘星星”的创业方向,追求不平凡,但在这几个投资人看来,平平无奇也甚好。“Mundane is great”,“something boring can be amazing business”,他们说,尤其体现在LLM方向上,办公提... more
刚刚结束的极客公园年终大会上,美国工程院院士、智源研究院原理事长张宏江和谷歌DeepMind资深工程师卢一峰进行了一场对话。
谈及大模型幻觉问题的难解,张院士提出了一个被卢一峰称为“价值百亿美金(甚至更多)”的问题:Transformer是否当下唯一可靠的架构?大模型向未来发展的过程中,技术路径上还会不会有新的、根本上的变化?
在这场对谈发生前不久,卡内基梅隆大学(人称全球AI专业“天花板”)和普林斯顿大学的研究者发布了一种名为Mamba的新架构,解决Transformer核心注意力层无法扩... more
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