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26 件
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スライド 5 枚20:55EN
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。音声 AIエージェント工学評価(Evals)+2
34:30EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年7月31日ポッドキャスト · 2 人Netic's Agents Answer the Phone When the Heat Breaksホスト 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.企業と戦略音声 AIWorkflow automation+3
1:23:53EN
Cognitive Revolution "How AI Changes Everything"· 2026年5月6日ポッドキャストCreators Cheer Filler-Word Removal and Boo Generative Videoホスト 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.プロダクトと UXProduct engineeringGenerative media+3
1:37:50EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月8日ポッドキャストGranola Added More Customers Than Almost Anyone by Being Surprisingly Unambitiousホスト 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.プロダクトと UXProduct StrategyAI interface design+3
41:38EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年12月11日ポッドキャスト · 2 人ElevenLabs Hit $300 Million ARR by Building Voice Before Anyone Believed It Was the Interfaceホスト 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.マルチモーダルとメディア音声 AIGenerative media+3
44:47EN
Sequoia Capital· 2025年10月14日ポッドキャスト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.企業と戦略音声 AICustomer support automation+3
59:38EN
Sequoia Capital· 2025年7月1日ポッドキャスト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.プロダクトと UX音声 AIGenerative media+3
38:43EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年3月27日ポッドキャスト · 2 人Two in Five Doctors Want Out. An On-Call Cardiologist Built the Note That Lets Them Stayホスト 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.企業と戦略AI in healthcare音声 AI+3
1:05:11EN
Cognitive Revolution "How AI Changes Everything"· 2025年3月19日ポッドキャストThe Fake Five-Second Hold: Voice AI Is Already Negotiating With Truckersホスト 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.プロダクトと UX音声 AIProduct Strategy+3
30:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年1月16日ポッドキャスト · 2 人Bilt Saved 65 Support Seats. Decagon's Founder Says Most Agent Ideas Still Won't Sellホスト 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.エージェントCustomer support automationAgent orchestration+3
56:10EN
Unsupervised Learning: With Jacob Effron· 2024年10月29日ポッドキャストDeepL Beat Google at Translation by Refusing to Be a General Modelホスト Jacob EffronOnly 18 percent of the world speaks English—and a Cologne startup turned that fact into a $2 billion language-AI company.企業と戦略Data quality & curation評価(Evals)+3
32:07EN
Sequoia Capital· 2024年10月15日ポッドキャスト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.プロダクトと UXProduct engineeringAI interface design+3
34:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024年6月27日ポッドキャスト · 2 人Five Independent Teams Found the Same 10-to-1 Mix That Beats Transformersホスト 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.モデルと学習Transformers & attention音声 AI+3
1:45:11EN
Cognitive Revolution "How AI Changes Everything"· 2024年6月19日ポッドキャストAI already beats doctors at empathy. Catastrophe is still not the defaultホスト 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.セキュリティと安全性安全性とガバナンスAI security+3
1:22:43EN
Cognitive Revolution "How AI Changes Everything"· 2024年1月9日ポッドキャストFive billion minutes of calls: why Dialpad trained its own business LLMホスト Nathan LabenzDan O’Connell on real-time speech, verticalizing the stack, and why he and Nathan Labenz disagree about when AI employees show up.企業と戦略音声 AIエンタープライズ AI+3
1:17:20EN
Cognitive Revolution "How AI Changes Everything"· 2023年12月9日ポッドキャストHume wants well-being in the objective function, measured 53 emotions at a timeホスト 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.マルチモーダルとメディアMultimodal AI音声 AI+3
1:20:55EN
Cognitive Revolution "How AI Changes Everything"· 2023年3月24日ポッドキャストA Custom Voice Used to Cost $10,000. Ten Minutes of Audio Now Clones It.ホスト 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.マルチモーダルとメディア音声 AIGenerative media+3
1:28:46EN
Lex Fridman· 2021年1月4日ポッドキャスト · 2 人The Speech Company That Gets Paid to Label Its Own Training Dataゲスト Dan Kokotov · ホスト 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.マルチモーダルとメディア音声 AI人による検証(HITL)+3
1:45:58EN
Lex Fridman· 2019年12月14日ポッドキャスト · 2 人Nine of ten colleagues said far-field speech was impossibleゲスト Rohit Prasad · ホスト 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.エージェント音声 AIAI interface design+3
1:09:31EN
Unsupervised Learning: With Jacob EffronポッドキャストThe Staircase to an AI Tutor: Connor Wick on Speak, Moats, and Voice-First Learningホスト 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.プロダクトと UXAI startups & small teamsCompany Building+3
14:41EN
Lex Fridmanポッドキャスト · 2 人Talking for 20 Minutes: How the Alexa Prize Turns Real Customers into a Testbed for Conversational AIゲスト Rohit Prasad · ホスト 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.プロダクトと UX音声 AIAI research+3
1:09:00EN
Unsupervised Learning: With Jacob EffronポッドキャストThe Meeting Is the Moat: Fireflies.ai’s Path to 16 Million Usersホスト 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.企業と戦略Company Buildingエンタープライズ AI+3
17:21EN
Lex Fridmanポッドキャスト · 2 人How Alexa Learned to Hear From Across the Room: Rohit Prasad on Far-Field Speech and Intentゲスト Rohit Prasad · ホスト 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.マルチモーダルとメディア音声 AIProduct engineering+2
45:46EN
Unsupervised Learning: With Jacob EffronポッドキャストGiving AI a Nervous System: Voice, Touch, and the Post-Keyboard Interfaceホスト Jacob EffronLiveKit's Russ explains how voice AI, multimodal chat, cloud browsers, and on-device models are reshaping how humans work with machines.マルチモーダルとメディア音声 AIMultimodal AI+3
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