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1718 public articles
Start a conversation with a fictional character, untangle a board of arrows, or turn mahjong tiles into piano notes. Six different places to go when you want a break from the usual scroll.
让虚构角色接住一句话，把箭头理出一条路，再用麻将牌弹完一段旋律。Luvia、Lunar、Arrowvale、Mahjong Piano、Hoshi 和 Grus，给不同心情留几个新去处。
Paul Roetzer and Mike Kaput read Anthropic’s reported filing as a bet on virtual collaborators spreading through knowledge work. Their discussion connects consumption revenue to advance compute commitments, while exposi...
Paul Roetzer 与 Mike Kaput 对 Anthropic 上市的讨论，指向一条尚待兑现的商业链：虚拟协作者进入企业工作，带来持续付费的 token 消耗，进而支撑提前锁定的算力支出。节目转述的财务数据、文件中的产品愿景与主持人的估值推演，各有不同的证据基础，不能相互替代。
Matthew Berman examines research in which a language model interprets, edits, and constructs other networks’ weights. The strongest lesson comes from comparing successes with their conditions: a repaired controller, com...
这期单人研究解读探讨大语言模型能否直接解释、修复和构造其他网络的权重。车辆策略修复和网络生成展示了参数操作的潜力，谄媚识别的失败与数学提分的机制则划出了边界：这些结果尚不足以证明模型已全面理解神经网络，更没有验证递归自我改进。
John Coogan and Jordi Hays use their account of the midterms to examine two different questions: whether markets anticipated the political outcome, and which companies can turn demand for AI into revenue. Their discussi...
John Coogan与Jordi Hays从节目所述的中期选举及股市上涨谈起，讨论预测市场的提前判断与即时反应有何不同，以及数据中心建设限制如何改变新型云服务商、大型云厂商与英伟达的收益前景。贯穿讨论的问题是：融资、许可、电力和合同能否把需求转化为企业收入。Elliott的防守策略则提出另一重考验：识别风险，不等于能够判断风险何时兑现。
Ara Karazian brings an unusual perspective to the AI growth debate: the purchasing records of businesses using Ramp. His exchange with ARK's participants examines why rising usage may produce slower spending growth, wha...
Ramp首席经济学家Ara Karazian观察到，企业AI支出仍在增长，但高支出客户的增速开始放缓，用量增长也未必带来同等幅度的收入增长。围绕价格下降、客户集中、企业采用和业务回报，本期讨论追问：采购账单究竟能支持怎样的产业判断？
Drawing on David's Agent Bench work, product trials, and power-user research, this a16z discussion examines the distance between completing an instruction and exercising useful judgment. Shopping, travel, memory, and go...
David 结合 Agent Bench 相关工作中的人工体验、重度用户调查和开发者聚会观察，与 Josh 等与谈者讨论消费级智能体的可靠性、个人偏好与社交分寸。讨论贯穿着几个不同的问题：助手能否完成任务，能否正确理解用户，又应在何时取得行动授权。娱乐、关系和自我表达，也可能成为用户采用助手的理由。