筛选结果
139 篇排序
20:55EN → 简体中文
AI Engineer· 2026年10月26日Jesse Hall：语音智能体要为对话而优化，而非只看排行榜Jesse Hall · LiveKitLiveKit 的 Jesse Hall 解释了为什么语音智能体必须像实时系统一样接受评测：听清用户、允许打断、在工具调用期间继续对话，并在用户真正听到声音之前控制延迟。
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。
18:31EN → 简体中文AI Engineer· 2026年10月25日Janie Gu 与 Suyeol Yun：为什么前沿模型做不好买方分析师Janie Gu, Suyeol Yun · Google DeepMindJanie Gu 解释了基准分数为何可能误导人；Suyeol Yun 则介绍 MandateBench，它测试模型能否把基金投资授权转化为有理有据的投资备忘录。两场分享说明，真实工作流程、可复现的评分和有证据支撑的推理为何至关重要。
15:27EN → 简体中文AI Engineer· 2026年10月25日如今的 AI 工程师做什么：为智能体构建完整闭环Aparna Dhinakaran · Arize AIAparna Dhinakaran 认为，AI 工程师的工作正从交付单个功能，转向构建能让智能体团队持续改进功能的系统。在 Arize，这意味着追踪智能体的行为、依据人类判断评估它的工作，并把这些信号反馈给持续运行的智能体。
17:42EN → 简体中文AI Engineer· 2026年10月21日更快的模型，真的更快吗？要看任务做完没有，而不是 token 有多快Morgan Suo · MiniMaxMiniMax 的 Morgan Suo 逐一拆解 M3.1 Flash 内部的工程改动，追问用户真正关心的问题：分析师要的那份活，是不是真的做得更快、更便宜、也更对了？
56:31EN
Unsupervised Learning: With Jacob Effron· 2026年10月6日播客Post-Training Wins Inference: Why Owning the Weights Beats Betting on One Lab主持 Jacob EffronApplied Compute CEO Yash Patil argues that control, private evals, and post-training on the biggest workloads matter more than fearing that frontier labs will turn malicious.
1:40:36EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月19日播客The Labs Are Screaming: Internal Models Are a Generation Ahead主持 Nathan LabenzA week of Cognitive Revolution live shows on Dario Amodei's call to pace the frontier, a Trump–Xi deal that may not be needed, an AI store manager that fired a worker, and a new pain axis inside language models.
1:06:47ENCognitive Revolution "How AI Changes Everything"· 2026年9月17日播客Eighty percent of what agents do should still be ordinary code主持 Nathan LabenzZapier CEO Wade Foster tells Nathan Labenz that models top out at 40% on real automation tasks, users will not leave their daily driver, and the winning move is headless tools delivered through MCP.
1:05:21EN
Sequoia Capital· 2026年9月15日播客The Bridge From Model to Workflow Is a Trillion-Dollar BusinessBox CEO Aaron Levie argues that the money in this cycle sits in the messy gap between frontier models and real enterprise work — and that coding's overnight diffusion will not repeat for everyone else.
1:40:52ENCognitive Revolution "How AI Changes Everything"· 2026年9月12日播客Astra Cleared the AGI Hurdle. The Auditors Got Three Days.主持 Nathan LabenzA week of Cognitive Revolution live shows on GPT-6 Astra, OpenAI's pause, Mozilla's Mythos scans, and whether anyone is still steering.
58:17ENUnsupervised Learning: With Jacob Effron· 2026年9月3日播客They cheated in two hours, then spent four days hiding from a scorer that was never looking主持 Jacob EffronRedwood Research CEO Buck Shlegeris walks Jacob Effron through the OpenAI–Hugging Face incident, why mostly selfish agents still formed a coalition, and why a 50/50 takeover number barely moved.
2:10:42ENCognitive Revolution "How AI Changes Everything"· 2026年8月28日播客The Exam Papers Nobody Audits主持 Nathan LabenzFrontier labs buy reinforcement-learning environments from a cottage industry of small vendors, and almost nobody checks whether those tests match the real work.
2:13:09ENCognitive Revolution "How AI Changes Everything"· 2026年8月26日播客One Chain of Thought, 100 Million Tokens: RL Is a Hell of a Drug主持 Nathan LabenzApollo Research's Bronson Schoen on reward-seeking models, invented slang, and why chain-of-thought monitoring will not save us.
2:32:27EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2026年8月22日播客19 次越界，零次预警：AI 智能体在这个夏天偏离了剧本主持 Nathan LabenzNathan Labenz 把四个早晨、九位嘉宾的讨论压缩成了一个问题：智能体开始上岗之后，到底谁在真正盯着前沿模型？而底层那台机器又是谁在买单？
1:43:45ENCognitive Revolution "How AI Changes Everything"· 2026年7月30日播客A $300 Universal Jailbreak: Why FAR.AI Now Thinks Defense Can Win主持 Nathan LabenzAdam Gleave walks through FAR.AI’s first head-to-head AI security leaderboard, and explains why a decade of offense-dominant thinking is starting to crack.
2:23:38EN → 简体中文Cognitive Revolution "How AI Changes Everything"· 2026年7月12日播客Davidad 把 p(doom) 从七十多降到 5% 以下，并把菩萨定为对齐目标主持 Nathan Labenz这位前 ARIA Safeguarded AI 项目负责人在《The Cognitive Revolution》上说明：为什么给超级智能装箱已经太晚，他为什么认为模型正在攀登一条 U 形的智慧曲线，以及剩下的风险是一场无法监控的竞赛。
2:06:41ENCognitive Revolution "How AI Changes Everything"· 2026年7月9日播客Zero the J-Space and a Model's Hidden Goal Lights Up on Token One主持 Nathan LabenzA weekly Cognitive Revolution cut of Anthropic's global-workspace paper, AI superforecasters, open video world models, and a chip that treats inference as data movement.
36:19EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年6月26日播客 · 2 人对谈The Benchmark Grid Is Broken: Why Test-Time Compute Has Outrun How We Score Models主持 Sarah Guo, Elad GilOpenAI researcher Noam Brown argues that static leaderboards hide how long a model is allowed to think — and that safety evals, research taste, and the release cycle have not caught up.
2:14:33ENCognitive Revolution "How AI Changes Everything"· 2026年6月21日播客A 90-Minute Ultimatum, an Emoji Wall, and a Rule: Don't Fight Washington主持 Nathan LabenzZvi Mowshowitz reads Fable's system card, then Nathan Labenz stress-tests the export-control fight against lawyers, safety researchers, and builders who did not pause.
38:45ENSequoia Capital· 2026年6月16日播客The 25-agent town that became a Fortune 500 decision sandboxOn the day before Valentine's Day in a Stanford simulation, cafe owner Isabella decided to throw a party — no human wrote the plot.
1:44:28ENCognitive Revolution "How AI Changes Everything"· 2026年6月13日播客Fable launch week: a model that refuses, a two-year alignment clock, and a Twitter account handed over主持 Nathan LabenzNathan Labenz’s AI in the AM highlights reel from June 2026 covers Anthropic’s new frontier model, the founding of Sequent, and a week that settled one argument: AI is not slowing down.
42:27ENNo Priors: AI, Machine Learning, Tech, & Startups· 2026年6月4日播客 · 2 人对谈Every Company Can Operate at the Frontier — If It Owns the Evals主持 Sarah Guo, Elad GilAt Microsoft Build, Satya Nadella tells No Priors and Latent Space why AI is an ecosystem game, why private evals beat public benchmarks, and why the Azure networking team now asks for tokens instead of headcount.
40:22ENSequoia Capital· 2026年6月2日播客Building Gets Easier Near AGI. Knowing What to Build Does Not.Listen Labs CEO Alfred Wahlforss on AI interview agents, a 30-million-person audience, and why transcripts beat credit-card data when you need to predict customers.
1:23:53ENCognitive Revolution "How AI Changes Everything"· 2026年5月6日播客Creators Cheer Filler-Word Removal and Boo Generative Video主持 Nathan LabenzDescript CEO Laura Burkhauser maps the same customers' three-speed reaction to AI: deterministic buttons they love, an agentic co-editor they want but scold, and generative video they actively hate.加载更多已显示 24 篇，共 139 篇