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2 张幻灯片5:11EN → 简体中文
Matthew Berman· 2023年4月25日2023 年的 AI 记忆:长上下文、检索与循环记忆Matthew Berman · Forward FutureMatthew Berman 比较智能体的外部记忆与循环记忆研究实验,并解释长上下文结果的局限。Agent memory上下文工程Transformers & attention+1
17:22EN → 简体中文
Lenny's Podcast播客别把自己变成软件工厂:真正的产品是团队的上下文主持 Lenny RachitskyLinear 首席执行官 Karri Saarinen 认为,当 AI 把执行自动化之后,产品团队必须守住那些让好产品成为可能的学习。产品与体验Product StrategyProduct Leadership+3
1:36:57EN
Unsupervised Learning: With Jacob Effron播客Do the Dumb Thing First: A CTO's Playbook for Building an AI Coding Assistant主持 Jacob EffronSourcegraph CTO Beyang Liu on which AI coding features actually earn daily use, how new models get shipped and evaluated, and why retrieval is still a search problem.编程智能体评估检索增强生成+3
21:31EN → 简体中文
Lenny's Podcast播客划桨还是掌舵:Atlassian 产品经理怎样变成 AI 构建者主持 Lenny RachitskyAtlassian 首席产品官 Tamar Yehoshua 用 Confluence、从零产品和 Jira 三个内部项目,说明产品经理何时该写代码、何时该给团队掌舵。产品与体验Product ManagementAI Product Management+3
54:52EN
Unsupervised Learning: With Jacob Effron播客Coding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next Frontier主持 Jacob EffronJacob Effron and Swyx map the state of AI engineering, from agent harnesses and infrastructure churn to coding-market economics, open models, dark factories, and world models.编程智能体智能体工程上下文工程+3
1:03:10EN
Cognitive Revolution "How AI Changes Everything"播客Pause Tokens, Analogical Prompts and Ring Attention: A Tour of the Transformer's Next Upgrades主持 Nathan LabenzNathan Labenz and Trey Kollmer walk through five recent papers on pausing, backspacing, prompting, streaming and long-context training, and sketch how they might combine into a more capable model.模型与训练Transformers & attention机器学习基础+3