필터 결과
38개정렬
48:31EN
No Priors: AI, Machine Learning, Tech, & Startups· 2024년 9월 19일팟캐스트 · 2명A Call Center Contact Costs $13. A Company Agent Can Do It for Under a Dollar진행자 Sarah Guo, Elad GilSierra cofounder and OpenAI chairman Bret Taylor tells No Priors why branded customer agents are shovel-ready, why RAG demos are not products, and how AI software should charge for the job done.
49:50EN
Sequoia Capital· 2024년 6월 18일팟캐스트Unconstrained agents captivated Twitter. Custom ones are what ship.LangChain founder Harrison Chase tells Sequoia’s Training Data what an agent actually is, why AutoGPT stalled, and which cognitive architectures reach production.
1:21:50EN
Cognitive Revolution "How AI Changes Everything"· 2023년 11월 14일팟캐스트A 16K Context Window Holds About 350 Rows. That's Why Tables Need an Agent.진행자 Nathan LabenzGretel AI founder Alex Watson tells Nathan Labenz why most company data is still a spreadsheet, why GPT-4 is the wrong tool for generating it, and how differential privacy lets a model learn a disease without learning a patient.
1:25:11ENCognitive Revolution "How AI Changes Everything"· 2023년 10월 26일팟캐스트105 lines of code, a million impressions, and a VC who refused to found the company진행자 Nathan LabenzBabyAGI creator Yohei Nakajima tells Nathan Labenz how a weekend prototype set off the agent wave — and why he went back to writing checks.
42:25ENNo Priors: AI, Machine Learning, Tech, & Startups· 2023년 9월 15일팟캐스트 · 2명The Transformer Co-Author Who Wants to Give AI a Wallet진행자 Sarah Guo, Elad GilIllia Polosukhin, co-author of Attention Is All You Need and co-founder of NEAR, argues that a blockchain account turns a language-model agent into an economic actor that can hire people and other AIs.
1:45:46ENCognitive Revolution "How AI Changes Everything"· 2023년 8월 4일팟캐스트Replit's $10 AI Programmer Already Pays for Itself. The Ambition Is Bots Hiring Bots진행자 Nathan LabenzTyler Angert, Replit's first product designer, explains Ghostwriter, a virtual developer, and why the company calls itself the perfect substrate for AGI.
1:40:44ENCognitive Revolution "How AI Changes Everything"· 2023년 7월 19일팟캐스트Give the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4진행자 Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.
1:21:06ENCognitive Revolution "How AI Changes Everything"· 2023년 4월 27일팟캐스트Everyone Talks About RLHF. Almost Nobody Is Doing It.진행자 Nathan LabenzHumanloop CEO Raza Habib on why an LLM API is maybe five percent of a working product, and what actually fills the rest.
1:32:32EN
Lenny's Podcast팟캐스트 · 2명Devin's Scott Wu on Building an AI Software Engineer and Turning Coders into Architects게스트 Scott Wu · 진행자 Lenny RachitskyThe Cognition co-founder explains how his 15-person team uses fleets of Devins to build Devin, what the product can and can't do, and why he expects more engineers, not fewer.
1:11:47EN
Unsupervised Learning: With Jacob Effron팟캐스트The Three-Hour Battlefield: Rahul Vohra on Why Email Survives and Agents Will Inherit the Inbox진행자 Jacob EffronSuperhuman's CEO explains how AI features are designed, why email addresses remain company infrastructure, and how agents may federate across the tools professionals live in.
1:42:11ENLenny's Podcast팟캐스트Twenty Agents, 1.2 Humans: Inside SaaStr's AI-Run Sales Team진행자 Lenny RachitskyJason Lemkin explains how SaaStr replaced a ten-person go-to-market team with AI agents, what it took to train them, and who survives the shift.
1:46:35ENLenny's Podcast팟캐스트Hire Your Agents Like Employees: Claire Vo's Field Guide to Running Nine OpenClaws진행자 Lenny RachitskyClaire Vo explains how she went from losing her family calendar to OpenClaw to running a team of specialized agents across her business, podcast, course and household.
1:19:39ENLenny's Podcast팟캐스트Engineers Become Sorcerers: OpenAI's Sherwin Wu on the Next 12 to 24 Months진행자 Lenny RachitskyThe head of engineering for OpenAI's API and developer platform describes life with Codex, how management is changing, and why builders should aim for where the models are going.