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34:30EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026년 7월 31일팟캐스트 · 2명Netic's Agents Answer the Phone When the Heat Breaks진행자 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.기업과 전략음성 AIWorkflow automation+3
41:38EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 12월 11일팟캐스트 · 2명ElevenLabs Hit $300 Million ARR by Building Voice Before Anyone Believed It Was the Interface진행자 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.멀티모달과 미디어음성 AIGenerative media+3
38:43EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 3월 27일팟캐스트 · 2명Two in Five Doctors Want Out. An On-Call Cardiologist Built the Note That Lets Them Stay진행자 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.기업과 전략AI in healthcare음성 AI+3
30:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025년 1월 16일팟캐스트 · 2명Bilt Saved 65 Support Seats. Decagon's Founder Says Most Agent Ideas Still Won't Sell진행자 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.에이전트Customer support automationAgent orchestration+3
34:09EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 6월 27일팟캐스트 · 2명Five Independent Teams Found the Same 10-to-1 Mix That Beats Transformers진행자 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.모델과 학습Transformers & attention음성 AI+3
1:28:46EN
Lex Fridman· 2021년 1월 4일팟캐스트 · 2명The Speech Company That Gets Paid to Label Its Own Training Data게스트 Dan Kokotov · 진행자 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.멀티모달과 미디어음성 AI사람 참여 검증(HITL)+3
1:45:58EN
Lex Fridman· 2019년 12월 14일팟캐스트 · 2명Nine of ten colleagues said far-field speech was impossible게스트 Rohit Prasad · 진행자 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.에이전트음성 AIAI interface design+3
14:41EN
Lex Fridman팟캐스트 · 2명Talking for 20 Minutes: How the Alexa Prize Turns Real Customers into a Testbed for Conversational AI게스트 Rohit Prasad · 진행자 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.제품과 UX음성 AIAI research+3
17:21EN
Lex Fridman팟캐스트 · 2명How Alexa Learned to Hear From Across the Room: Rohit Prasad on Far-Field Speech and Intent게스트 Rohit Prasad · 진행자 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.멀티모달과 미디어음성 AIProduct engineering+2