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20:55EN
AI Engineer· 26 oct 2026Jesse Hall: Build Voice Agents for Conversations, Not LeaderboardsJesse Hall · LiveKitLiveKit’s Jesse Hall explains how to evaluate voice agents as real-time systems: understand callers, handle interruptions, keep talking while tools run, and measure the delay people actually hear.
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No Priors: AI, Machine Learning, Tech, & Startups· 31 jul 2026Pódcast · 2 vocesNetic's Agents Answer the Phone When the Heat BreaksPresenta: 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.
1:23:53EN
Cognitive Revolution "How AI Changes Everything"· 6 may 2026PódcastCreators Cheer Filler-Word Removal and Boo Generative VideoPresenta: 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.
1:37:50ENCognitive Revolution "How AI Changes Everything"· 8 abr 2026PódcastGranola Added More Customers Than Almost Anyone by Being Surprisingly UnambitiousPresenta: 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.
41:38ENNo Priors: AI, Machine Learning, Tech, & Startups· 11 dic 2025Pódcast · 2 vocesElevenLabs Hit $300 Million ARR by Building Voice Before Anyone Believed It Was the InterfacePresenta: 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.
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Sequoia Capital· 14 oct 2025PódcastThe 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.
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跟李沐学AI· 23 jul 2025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。
59:38ENSequoia Capital· 1 jul 2025PódcastElevenLabs Was Supposed to Be RoadkillCo-founder Mati Staniszewski on dirty audio data, prosumer virality, and why voice should become the default interface for technology.
38:43ENNo Priors: AI, Machine Learning, Tech, & Startups· 27 mar 2025Pódcast · 2 vocesTwo in Five Doctors Want Out. An On-Call Cardiologist Built the Note That Lets Them StayPresenta: 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.
1:05:11ENCognitive Revolution "How AI Changes Everything"· 19 mar 2025PódcastThe Fake Five-Second Hold: Voice AI Is Already Negotiating With TruckersPresenta: 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.
30:09ENNo Priors: AI, Machine Learning, Tech, & Startups· 16 ene 2025Pódcast · 2 vocesBilt Saved 65 Support Seats. Decagon's Founder Says Most Agent Ideas Still Won't SellPresenta: 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.
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Unsupervised Learning: With Jacob Effron· 29 oct 2024PódcastDeepL Beat Google at Translation by Refusing to Be a General ModelPresenta: Jacob EffronOnly 18 percent of the world speaks English—and a Cologne startup turned that fact into a $2 billion language-AI company.
32:07ENSequoia Capital· 15 oct 2024PódcastA 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.
34:09ENNo Priors: AI, Machine Learning, Tech, & Startups· 27 jun 2024Pódcast · 2 vocesFive Independent Teams Found the Same 10-to-1 Mix That Beats TransformersPresenta: 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.
1:45:11ENCognitive Revolution "How AI Changes Everything"· 19 jun 2024PódcastAI already beats doctors at empathy. Catastrophe is still not the defaultPresenta: 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.
1:22:43ENCognitive Revolution "How AI Changes Everything"· 9 ene 2024PódcastFive billion minutes of calls: why Dialpad trained its own business LLMPresenta: Nathan LabenzDan O’Connell on real-time speech, verticalizing the stack, and why he and Nathan Labenz disagree about when AI employees show up.
1:17:20ENCognitive Revolution "How AI Changes Everything"· 9 dic 2023PódcastHume wants well-being in the objective function, measured 53 emotions at a timePresenta: 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.
1:20:55ENCognitive Revolution "How AI Changes Everything"· 24 mar 2023PódcastA Custom Voice Used to Cost $10,000. Ten Minutes of Audio Now Clones It.Presenta: 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.
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Lex Fridman· 4 ene 2021Pódcast · 2 vocesThe Speech Company That Gets Paid to Label Its Own Training DataInvitado: Dan Kokotov · Presenta: 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.
1:45:58ENLex Fridman· 14 dic 2019Pódcast · 2 vocesNine of ten colleagues said far-field speech was impossibleInvitado: Rohit Prasad · Presenta: 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.
1:09:31ENUnsupervised Learning: With Jacob EffronPódcastThe Staircase to an AI Tutor: Connor Wick on Speak, Moats, and Voice-First LearningPresenta: 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.
14:41ENLex FridmanPódcast · 2 vocesTalking for 20 Minutes: How the Alexa Prize Turns Real Customers into a Testbed for Conversational AIInvitado: Rohit Prasad · Presenta: 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.
1:09:00ENUnsupervised Learning: With Jacob EffronPódcastThe Meeting Is the Moat: Fireflies.ai’s Path to 16 Million UsersPresenta: 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.
17:21ENLex FridmanPódcast · 2 vocesHow Alexa Learned to Hear From Across the Room: Rohit Prasad on Far-Field Speech and IntentInvitado: Rohit Prasad · Presenta: 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.Cargar másMostrando 24 de 27