Résultats
28 articlesTrier
20:55ENJesse 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.
1:04:35ENCliff Weitzman on Owning GPUs, Voice AI and Building SpeechifyInvité : Cliff Weitzman · Anime : Harry StebbingsSpeechify's CEO makes the case for owning part of a compute fleet, reflects on a missed business-software opportunity and discusses AI-assisted teams.
34:30ENNetic's Agents Answer the Phone When the Heat BreaksAnime : 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.
1:23:53ENCreators Cheer Filler-Word Removal and Boo Generative VideoAnime : 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.
1:37:50ENGranola Added More Customers Than Almost Anyone by Being Surprisingly UnambitiousAnime : 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.
41:38ENElevenLabs Hit $300 Million ARR by Building Voice Before Anyone Believed It Was the InterfaceAnime : 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.
44:47ENThe 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.
23:39ZH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。
59:38ENElevenLabs Was Supposed to Be RoadkillCo-founder Mati Staniszewski on dirty audio data, prosumer virality, and why voice should become the default interface for technology.
38:43ENTwo in Five Doctors Want Out. An On-Call Cardiologist Built the Note That Lets Them StayAnime : 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.
1:05:11ENThe Fake Five-Second Hold: Voice AI Is Already Negotiating With TruckersAnime : 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.
30:09ENBilt Saved 65 Support Seats. Decagon's Founder Says Most Agent Ideas Still Won't SellAnime : 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.
56:10ENDeepL Beat Google at Translation by Refusing to Be a General ModelAnime : Jacob EffronOnly 18 percent of the world speaks English—and a Cologne startup turned that fact into a $2 billion language-AI company.
32:07ENA 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.
34:09ENFive Independent Teams Found the Same 10-to-1 Mix That Beats TransformersAnime : 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.
1:45:11ENAI already beats doctors at empathy. Catastrophe is still not the defaultAnime : 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.
1:22:43ENFive billion minutes of calls: why Dialpad trained its own business LLMAnime : Nathan LabenzDan O’Connell on real-time speech, verticalizing the stack, and why he and Nathan Labenz disagree about when AI employees show up.
1:17:20ENHume wants well-being in the objective function, measured 53 emotions at a timeAnime : 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.
1:20:55ENA Custom Voice Used to Cost $10,000. Ten Minutes of Audio Now Clones It.Anime : 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.
1:28:46ENThe Speech Company That Gets Paid to Label Its Own Training DataInvité : Dan Kokotov · Anime : 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.
1:45:58ENNine of ten colleagues said far-field speech was impossibleInvité : Rohit Prasad · Anime : 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.
1:09:31ENThe Staircase to an AI Tutor: Connor Wick on Speak, Moats, and Voice-First LearningAnime : 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.
14:41ENTalking for 20 Minutes: How the Alexa Prize Turns Real Customers into a Testbed for Conversational AIInvité : Rohit Prasad · Anime : 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.
1:09:00ENThe Meeting Is the Moat: Fireflies.ai’s Path to 16 Million UsersAnime : 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.
Charger plus24 sur 28 affichés








