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5 张幻灯片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。语音 AI智能体工程评估+2
34:30EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年7月31日播客 · 2 人对谈Netic's Agents Answer the Phone When the Heat Breaks主持 Sarah Guo, Elad GilFounder Melisa Tokmak tells Elad Gil how a two-year-old platform became the AI operations layer for HVAC, roofing, pet care, and other essential services.企业与战略语音 AIWorkflow automation+3
1:23:53EN
Cognitive 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.产品与体验Product engineeringGenerative media+3
1:37:50EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月8日播客Granola Added More Customers Than Almost Anyone by Being Surprisingly Unambitious主持 Nathan LabenzCo-founder Sam Stephenson tells Nathan Labenz how a calm notes app for frazzled meeting days, one Slack-sharing loop, and a refusal to promise the burning-fire work built a $1.5 billion company.产品与体验Product StrategyAI interface design+3
41:38EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年12月11日播客 · 2 人对谈ElevenLabs Hit $300 Million ARR by Building Voice Before Anyone Believed It Was the Interface主持 Sarah Guo, Elad GilIn Poland, watching a foreign film is a special kind of pain: one narrator, every character, a flat delivery from start to finish.多模态与媒体语音 AIGenerative media+3
44:47EN
Sequoia Capital· 2025年10月14日播客The Last Mile Is Where Contact-Center AI Gets RealCresta CEO Ping Wu and Sequoia's Doug Leone on why 17 to 20 million agents, legacy systems, and last-mile integration will decide who wins customer experience.企业与战略语音 AICustomer support automation+3
16 张幻灯片23:39ZH
跟李沐学AI· 2025年7月23日李沐:给文本大模型加入一千万小时语音,开源 Higgs Audio李沐 · Boson AI李沐介绍团队如何在文本大语言模型的训练里加入大量语音数据,做成能听能说的 AudioLLM,并把 Higgs Audio 开源。他讲了架构取舍、token 压缩、数据从哪来,以及怎么在 3090 上跑起来。语音 AIMultimodal AI模型与训练+2
59:38EN
Sequoia Capital· 2025年7月1日播客ElevenLabs Was Supposed to Be RoadkillCo-founder Mati Staniszewski on dirty audio data, prosumer virality, and why voice should become the default interface for technology.产品与体验语音 AIGenerative media+3
38:43EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年3月27日播客 · 2 人对谈Two in Five Doctors Want Out. An On-Call Cardiologist Built the Note That Lets Them Stay主持 Sarah Guo, Elad GilAbridge CEO Shiv Rao on treating the doctor-patient conversation as healthcare's source of truth, and why the company ran straight at the hardest health systems.企业与战略AI in healthcare语音 AI+3
1:05:11EN
Cognitive Revolution "How AI Changes Everything"· 2025年3月19日播客The Fake Five-Second Hold: Voice AI Is Already Negotiating With Truckers主持 Nathan Labenza16z partners Olivia Moore and Anish Acharya walk Nathan Labenz through what is working in voice AI — call centers, coaches, companions — and what still is not.产品与体验语音 AIProduct Strategy+3
30:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年1月16日播客 · 2 人对谈Bilt Saved 65 Support Seats. Decagon's Founder Says Most Agent Ideas Still Won't Sell主持 Sarah Guo, Elad GilJesse Zhang on why customer support is the golden agent use case, why instruction following beats o1-style reasoning, and the two filters that kill most agent startups.智能体Customer support automationAgent orchestration+3
56:10EN
Unsupervised Learning: With Jacob Effron· 2024年10月29日播客DeepL Beat Google at Translation by Refusing to Be a General Model主持 Jacob EffronOnly 18 percent of the world speaks English—and a Cologne startup turned that fact into a $2 billion language-AI company.企业与战略Data quality & curation评估+3
32:07EN
Sequoia Capital· 2024年10月15日播客A 10-Person Team, One Click, and Two Years of Fake DeadlinesNotebookLM’s product and design leads explain how a source-grounded research tool became a viral two-host podcast generator—and what they refuse to add next.产品与体验Product engineeringAI interface design+3
34:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年6月27日播客 · 2 人对谈Five Independent Teams Found the Same 10-to-1 Mix That Beats Transformers主持 Sarah Guo, Elad GilThe authors of S4 and Mamba argue that mostly state-space layers plus a dash of attention is the architecture that actually works—and they are shipping it first as real-time speech.模型与训练Transformers & attention语音 AI+3
1:45:11EN
Cognitive Revolution "How AI Changes Everything"· 2024年6月19日播客AI already beats doctors at empathy. Catastrophe is still not the default主持 Nathan LabenzNathan Labenz tells Sarah Hastings Woodhouse why he is an adoption accelerationist and a hyperscaling pauser, and lists eight reasons he will not join the hardcore doomers.安全安全与治理AI security+3
1:22:43EN
Cognitive Revolution "How AI Changes Everything"· 2024年1月9日播客Five billion minutes of calls: why Dialpad trained its own business LLM主持 Nathan LabenzDan O’Connell on real-time speech, verticalizing the stack, and why he and Nathan Labenz disagree about when AI employees show up.企业与战略语音 AI企业 AI+3
1:17:20EN
Cognitive Revolution "How AI Changes Everything"· 2023年12月9日播客Hume wants well-being in the objective function, measured 53 emotions at a time主持 Nathan LabenzAlan Cowen tells Nathan Labenz how Hume AI reads face, voice, and language, sells custom models at $1.66 an hour, and wants long-horizon well-being to override every other AI goal.多模态与媒体Multimodal AI语音 AI+3
1:20:55EN
Cognitive Revolution "How AI Changes Everything"· 2023年3月24日播客A Custom Voice Used to Cost $10,000. Ten Minutes of Audio Now Clones It.主持 Nathan LabenzPlay.ht CEO Mahmoud Felfel tells Nathan Labenz how text-to-speech jumped from robotic cloud APIs to director-level voice generation — and why the company is racing to put brakes on abuse.多模态与媒体语音 AIGenerative media+3
1:28:46EN
Lex Fridman· 2021年1月4日播客 · 2 人对谈The Speech Company That Gets Paid to Label Its Own Training Data嘉宾 Dan Kokotov · 主持 Lex FridmanRev VP of engineering Dan Kokotov tells Lex Fridman why a $1.25-a-minute human transcript, a 14% machine word-error rate, and a two-sided freelancer market are the same flywheel.多模态与媒体语音 AI人工介入验证+3
1:45:58EN
Lex Fridman· 2019年12月14日播客 · 2 人对谈Nine of ten colleagues said far-field speech was impossible嘉宾 Rohit Prasad · 主持 Lex FridmanRohit Prasad, Amazon’s vice president and head scientist for Alexa, talks with Lex Fridman about conversational AI, the Alexa Prize, trust, and why a 20-minute chat is still years away.智能体语音 AIAI interface design+3
1:09:31EN
Unsupervised Learning: With Jacob Effron播客The Staircase to an AI Tutor: Connor Wick on Speak, Moats, and Voice-First Learning主持 Jacob EffronHow Speak's CEO is building a fluency product one model-capability step at a time, from specialized speech models to evals, pricing, and the future of education.产品与体验AI startups & small teamsCompany Building+3
14:41EN
Lex Fridman播客 · 2 人对谈Talking for 20 Minutes: How the Alexa Prize Turns Real Customers into a Testbed for Conversational AI嘉宾 Rohit Prasad · 主持 Lex FridmanRohit Prasad, head scientist of Amazon Alexa, explains the Alexa Prize grand challenge, how it is judged and why true conversation still needs reasoning.产品与体验语音 AIAI research+3
1:09:00EN
Unsupervised Learning: With Jacob Effron播客The Meeting Is the Moat: Fireflies.ai’s Path to 16 Million Users主持 Jacob EffronKrish Ramani explains how Fireflies.ai turned AI note-taking into a meeting chief of staff, why he avoids fine-tuning, and how a startup competes with Microsoft, Zoom, and Google.企业与战略Company Building企业 AI+3
17:21EN
Lex Fridman播客 · 2 人对谈How Alexa Learned to Hear From Across the Room: Rohit Prasad on Far-Field Speech and Intent嘉宾 Rohit Prasad · 主持 Lex FridmanAlexa's head scientist recalls the early days of the Echo, when far-field speech recognition seemed unsolvable and there were no customers to collect data from.多模态与媒体语音 AIProduct engineering+2
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