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10 件
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1:04:35EN
20VC with Harry Stebbings· 2026年9月5日ポッドキャスト · 2 人Cliff Weitzman on Owning GPUs, Voice AI and Building Speechifyゲスト Cliff Weitzman · ホスト 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.インフラとデプロイ音声 AIAI cost & performance+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
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
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
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
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
1:28:46EN
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
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
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