猿来如此
张赫这里没有高深的理论，只有和你一样关心科技和生活的普通人。每一期，我用最简单的语言聊聊新技术、行业故事，还有那些让人会心一笑的小发现。关注《猿来如此》，和我一起，慢慢变好。
| Publishes | Daily | Episodes | 70 | Founded | 3 years ago |
|---|---|---|---|---|---|
| Language |  ZH-CN | Number of Listeners | Category | Technology |
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本期播客概述了关于人工智能现状与未来发展方向的深刻对话。讨论的核心在于当前 大型语言模型 (LLM) 在评估中的优异表现与其对经济影响的滞后之间存在的费解脱节，并认为随着数据的限制，单纯依靠 规模化 (scaling) 的时代正走向终结。对话重点强调需要重新回归 研究时代 (age of research)，以解决模型在 泛化能力 (generalization) 和 样本效率 (sample efficiency) 方面的根本缺陷，这是目前 AI 与人类学习能力相比的不足之处。通过借鉴人类 情... more
本期播客摘录自 YouTube 频道“Dan Koe”的视频“Kortex：300 万美元的错误”的文字记录，主要讨论了其初创公司在开发名为 Cortex 的“第二大脑”应用程序时所犯的错误。创作者和联合创始人解释了 Cortex 如何因 不适当的团队结构 和 构建自己的技术而非使用第三方解决方案 等原因导致开发速度放缓，最终使其无法跟上市场步伐。因此，他们秘密地 从零开始重建了应用程序并将其更名为 Eden，这个新产品专注于 为创作者提供强大的搜索和媒体处理能力，旨在通过学习过去的失误来加速迭... more
本期播客主要关注两个截然不同的领域：人工智能（AI）的发展及其伦理考量，以及公用事业中智能电网技术，特别是高级计量基础设施（AMI）的部署和益处。关于 AI，文本讨论了自主机器智能的架构，例如 Yann LeCun 提出的微分模块和分层联合嵌入预测架构（JEPA）模型，并探讨了通用人工智能（AGI）的定义和时间表，这在 AI 专家中存在争议。AI 伦理是一个重要主题，重点是 AI 偏见（如性别和政治偏见）、责任归属问题，以及监管工作的必要性（例如欧盟的《AI 法案》和美国的倡议），此外还讨论了赋... more
本期播客概述了 Google Gemini 3 Pro 模型的发布及其技术能力，将其定位为公司迄今为止最智能的模型。资料重点介绍了该模型的 Sparse Mixture of Experts (MoE) 架构和高达 100 万令牌（Token）的巨大上下文窗口，这使其能够处理大规模、多模态的输入，包括文本、代码、图像、音频和视频。此外，文档详细介绍了 Gemini 3 Pro 卓越的 Agentic 工作流程 和 编码能力，例如通过命令行界面（CLI）进行复杂的跨工具调试，以及将手绘草图转换为功... more
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Apple Podcasts | #48 |  Hong Kong/Technology |
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Apple Podcasts | #214 |  Taiwan/Technology |
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猿来如此 launched 3 years ago and published 70 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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