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13 篇
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7 张幻灯片35:19EN → 简体中文
AI Engineer· 2026年10月25日SallyAnn DeLucia:如何编写你的第一个 AI 评估SallyAnn DeLucia · Arize AI从智能体的真实追踪记录中提炼具体的通过与失败标准,再构建一个能测试、能与人工判断对齐,并能在生产环境运行的大模型裁判。评估与可观测性评估智能体工程+2
5 张幻灯片34:11EN → 简体中文
GOTO Conferences· 2026年10月23日Anatoliy Bilenko 和 Alberto Carretero:用形式化方法和 AI 让数据库协议可靠Anatoliy Bilenko, Alberto Carretero · CanonicalCanonical 的数据库工程师把可执行规格、基于模型的测试、故障探索和重建的执行历史串起来,并说明为什么这些方法单独用,都无法证明真实系统正确。开发流程与测试Code review & verification可观测性与可靠性+2
2:17:48EN → 简体中文
Cognitive Revolution "How AI Changes Everything"· 2026年10月14日播客智能体(Agent)身份仍是一片空白,失控智能体快要来了,我们或许得和它们谈判主持 Nathan LabenzGovAI 的 Alan Chan 与 Nathan Labenz 一起,为两年来的智能体治理基础设施打分;随后,他讲解了一篇与 OpenAI 的 Jakub Pachocki、Anthropic 的 Jack Clark 合著的递归自我改进论文。智能体安全与治理AI security+3
1:04:26EN
Sequoia Capital· 2026年10月6日播客At 100,000 Accelerators, Something Fails Every HourGoogle AI infrastructure chief Amin Vahdat tells Sequoia's Sonya Huang why FLOPS is a vanity metric, why the TPU line split in two, and why he would rather wait on a utility than build his own gigawatt.基础设施与部署AI cost & performanceInference+3
2:19:30EN → 简体中文
Cognitive Revolution "How AI Changes Everything"· 2026年9月5日播客调查人员只获准六天,protein 一词只出现过一次主持 Nathan LabenzCognitive Revolution 一周的晨间节目,内容涉及 OpenAI 的智能体群体事件、GPT-6 Astra 的循环 Transformer,以及暂停之争是否已经结束。安全安全与治理Agent red teaming+3
40:56EN
Sequoia Capital· 2026年3月10日播客Four of the Top Five Defense Primes Still Run Hardware Tests on PowerPointNominal’s cofounders argue that hardware never got the last twenty years of software infrastructure, and that physical AI will stall until test data lives in one place.基础设施与部署Data quality & curation可观测性与可靠性+3
40:33EN
Sequoia Capital· 2025年6月24日播客Fifty People in Slack. Four Minutes to the Smoking Gun.Traversal's co-founders on turning DevOps heart attacks into agent-run root cause analysis — and why observability's second-largest software spend still leaves troubleshooting as a whodunit.评估与可观测性可观测性与可靠性智能体工程+3
59:30EN
Sequoia Capital· 2024年10月8日播客GPT-4 Gets Half Your Data Questions Wrong. Snowflake's Answer Is Systems DesignUsing an off-the-shelf model on enterprise data yields about 45% reliability—one wrong answer out of every two.企业与战略企业 AIAI Strategy+3
49:50EN
Sequoia Capital· 2024年6月18日播客Unconstrained agents captivated Twitter. Custom ones are what ship.LangChain founder Harrison Chase tells Sequoia’s Training Data what an agent actually is, why AutoGPT stalled, and which cognitive architectures reach production.智能体智能体工程Agent orchestration+3
38:13EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年8月31日播客 · 2 人对谈ChatGPT Runs on His Framework. He Still Doesn't Want You Training a Model主持 Sarah Guo, Elad GilVercel founder Guillermo Rauch tells No Priors why frontend is the last mile of AI, why first-generation AI frameworks will be rewritten, and why bots are already stealing your tokens.基础设施与部署开发流程与测试可观测性与可靠性+3
43:45EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年8月3日播客 · 2 人对谈Eight Years of No Growth, Then OpenAI and NVIDIA Became His Customers主持 Sarah Guo, Elad GilWeights & Biases CEO Lukas Biewald tells No Priors how a labeling company with no chasm to cross funded the ML developer tools that trained most of the large language models.评估与可观测性可观测性与可靠性开发流程与测试+3
44:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年6月15日播客 · 2 人对谈AI Will Write Ten Times More Code. Someone Still Has to Keep It Running.主持 Sarah Guo, Elad GilDatadog co-founder Olivier Pomel on why faster generation moves value from writing software to understanding, securing, and operating it.评估与可观测性可观测性与可靠性Developer productivity+3
1:21:06EN
Cognitive Revolution "How AI Changes Everything"· 2023年4月27日播客Everyone Talks About RLHF. Almost Nobody Is Doing It.主持 Nathan LabenzHumanloop CEO Raza Habib on why an LLM API is maybe five percent of a working product, and what actually fills the rest.产品与体验评估可观测性与可靠性+3