OpenAI Podcast

OpenAI
  • 5.0（2則評分）
  • 科技
  • 每週更新兩次

Hosted by Andrew Mayne, The OpenAI Podcast features conversations with the people building with and working at OpenAI. Topics range from how new features are developed to what users are doing with the technology. It’s a practical look at how AI is made and where it’s going, told by the people closest to the work. Hosted on Acast. See acast.com/privacy for more information.

  1. 6 天前

    Episode 16 - Building AI for Life Sciences

    What does it take to build AI systems that can actually help scientists? Research lead Joy Jiao and product lead Yunyun Wang discuss how OpenAI is developing models for life sciences and what responsible deployment means in a field with real biosecurity stakes. They explore how AI is already improving research workflows and where it could lead in drug discovery and more autonomous labs — including why a future with less pipetting sounds pretty good to most scientists. Chapters 0:39 Introducing the Life Sciences model series 3:47 Joy’s path into life sciences 5:00 Autonomous lab with Ginkgo Bioworks 7:27 Yunyun’s path into life sciences 8:12 OpenAI’s life sciences work 9:48 Biorisk, access, and safeguards 15:43 What models can do in the lab 17:51 Building scientific infrastructure 20:14 Why compute matters for science 24:54 Where are we in 6-12 months? 29:51 Scientific adoption and skepticism 33:17 Advice for students and researchers 40:27 Where are we in 10 years? Hosted on Acast. See acast.com/privacy for more information.

    44 分鐘

  2. 3月25日

    Episode 15 - Inside the Model Spec

    The more AI can do, the more we need to ask what it should and shouldn’t do. In this episode, OpenAI researcher Jason Wolfe joins host Andrew Mayne to talk about the Model Spec, the public framework that defines intended model behavior. They discuss how the Model Spec works in practice, including how the chain of command handles  conflicts between instructions, and how OpenAI evolves it based on feedback, real-world use, and new model capabilities. Chapters 00:00 Introduction 01:10 What is the Model Spec? 03:55 How does the Model Spec work in practice? 06:26 Transparency: Where to read the Model Spec & give feedback 07:51 How did the Model Spec originate? 10:02 How does the spec translate into model behavior? 11:26 What is the hierarchy / chain of command? 13:35 Handling edge cases like Santa Claus 17:41 How does the Model Spec evolve over time? 19:59 What happens when models disagree with the spec? 22:05 How do smaller models follow the spec? 23:16 Is chain-of-thought useful for alignment? 24:16 Model Spec vs Anthropic’s Constitution 26:28 What surprised you most? 26:56 How do you define the scope of the spec? 27:44 What is the future of the Model Spec? 31:16 How should developers think about the spec? 34:44 Asimov’s laws vs Model Spec 37:16 Could AI write a Human Spec? Hosted on Acast. See acast.com/privacy for more information.

    37 分鐘

  3. 3月16日

    Episode 14 - Building AI for better healthcare

    Healthcare systems around the world are under strain, and both patients and clinicians are feeling the impact. OpenAI's Head of Health Dr. Nate Gross and Karan Singhal, who leads Health AI Research, discuss how AI can help address the biggest challenges. They cover how OpenAI is training models to handle sensitive health questions in collaboration with physicians, and how that foundation is unlocking a new generation of tools for patients, clinicians, and healthcare systems. Chapters 00:00:38 – Origins of Nate and Karan’s interest in AI and healthcare 00:05:01 – Strategy for building AI tools for clinicians 00:06:57 – How AI models are trained for health use cases 00:10:15 – How OpenAI is able to score well on health evals 00:14:21 – Key challenges deploying AI in healthcare 00:21:05 – Collaboration with hospitals and healthcare systems 00:23:05 – Practical everyday uses of AI health assistants 00:26:43 – Biggest “wow” moment during development 00:28:46 – Feedback from clinicians and early users Hosted on Acast. See acast.com/privacy for more information.

    31 分鐘

  4. 2月9日

    Episode 13 - The Thinking Behind Ads in ChatGPT

    How should advertising work in an AI product? Asad Awan, one of the ad leads at OpenAI, walks through how the company is approaching this decision and why it’s testing ads in ChatGPT at all. He explains how ads are built to stay separate from the model response, keep conversations with ChatGPT private from advertisers, and give people control over their experience. Chapters 00:00:29 — Mission and principles 00:04:01 — Separation between ads and answers 00:07:31 — Who will see ads 00:08:52 — Internal input and decision-making process 00:11:06 — Controls and how ads will work 00:15:53 — Guardrails for sensitive conversations 00:17:33 — Skepticism about ads 00:20:26 — Helping small businesses 00:24:13 — Future of ads Hosted on Acast. See acast.com/privacy for more information.

    26 分鐘

  5. 1月19日

    Episode 12 - State of the AI Industry

    OpenAI CFO Sarah Friar and Khosla Ventures founder Vinod Khosla argue the greatest challenges in AI right now are keeping up with demand and making sure more people get the benefit. They unpack what's driving big investments in compute and why this moment is different from other technology cycles — with meaningful advances in health, agents, and robotics still ahead.  Chapters 00:00:00 — What’s the AI story of 2026? 00:07:28 — AI in healthcare 00:12:01 — Scaling compute to match revenue 00:18:05 — Difference between now and dot-com bubble 00:27:41 — Ads in ChatGPT 00:30:05 — Will consumers have more than one AI subscription? 00:36:41 — Winning in enterprise 00:39:44 — How can startups succeed? 00:44:05 — Robotics and beyond Hosted on Acast. See acast.com/privacy for more information.

    50 分鐘

  6. 2025/12/02

    Episode 11- Shaping Model Behavior in GPT-5.1

    What does it mean for an AI model to have "personality"? Researcher Christina Kim and product manager Laurentia Romaniuk talk about how OpenAI set out to build a model that delivers on both IQ and EQ, while giving people more flexibility in how ChatGPT responds. They break down what goes into model behavior and why it's an important, but still imperfect blend of art and science. Chapters: - 00:00:43 — GPT-5.1 goals and the shift to reasoning models - 00:02:18 — Differences between GPT-5 and GPT-5.1 - 00:04:55 — Unpacking the model switcher - 00:07:24 — Understanding user feedback - 00:08:27 — Measuring progress on emotional intelligence - 00:10:02 — What is model personality? - 00:14:25 — Model steerability, bias, and uncertainty - 00:21:59 — Advantages of memory in ChatGPT - 00:25:27 — Looking ahead and advice for getting the most out of models Hosted on Acast. See acast.com/privacy for more information.

    29 分鐘

  7. 2025/11/20

    Episode 10 - How AI Is Accelerating Scientific Discovery Today and What's Ahead

    AI is beginning to change how science gets done. Head of OpenAI for Science Kevin Weil and OpenAI research scientist Alex Lupsasca talk about the early signs of acceleration researchers are seeing with GPT-5—from surfacing literature across fields and languages, to speeding up complex calculations, to designing follow-up experiments. They unpack what’s possible today, what doesn’t work yet, and why the next few years could reshape the trajectory of scientific progress across physics, math, biology and beyond. Chapters - 00:00:40 — OpenAI for Science mission - 00:06:00 — Literature search and intersections across fields - 00:11:19 — A fusion physicist shows what GPT-5 can do - 00:15:08 — GPT-5 Pro and black hole symmetries - 00:19:02 — Getting the most out of the models - 00:24:33 — OpenAI’s new research paper (https://openai.com/index/accelerating-science-gpt-5/) - 00:29:59 — Looking ahead to the next 5 years - 00:32:05 — Will predictions outpace experiments? - 00:36:43 — The pace of model improvement - 00:40:31 — What do scientific benchmarks look like? - 00:44:16 — Fusion and the promise of abundant energy - 00:48:07 — Closing: Science 2.0 moment Hosted on Acast. See acast.com/privacy for more information.

    48 分鐘

  8. 2025/11/13

    Episode 9 - ChatGPT Atlas and the next era of web browsing

    How will the internet feel when your browser can actually help do things for you? OpenAI’s Ben Goodger and Darin Fisher, whose past work shaped some of the most popular modern browsers, dive into the making of ChatGPT Atlas. They explore how AI changes what a browser can be, from tabs you can talk to, to agents that take over tedious tasks. Learn more about the decisions they made along the way and what’s coming next. - 00:00:45 What is Atlas? - 00:03:34 The state of browsers and AI on the web - 00:13:55 Under the hood: why browsers are hard (OWL, rendering) - 00:22:00 Building with AI: Codex, cross-language, Swift on Windows - 00:33:39 Search in Atlas: one box plus model response - 00:41:28 Favorite features: scrolling tabs and tab search - 00:45:23 Side Chat in action: summarize, shop, build forms - 00:46:59 Real-world wins with Agent (cloud bill, medical results) - 00:52:45 Why Chromium? Compatibility and extensions - 01:07:57 Five-year vision: an agentic web and reduced toil - 01:13:11 Power tips and closing remarks Learn more about OWL https://openai.com/index/building-chatgpt-atlas/ Hosted on Acast. See acast.com/privacy for more information.

    1 小時 14 分鐘
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5
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簡介

Hosted by Andrew Mayne, The OpenAI Podcast features conversations with the people building with and working at OpenAI. Topics range from how new features are developed to what users are doing with the technology. It’s a practical look at how AI is made and where it’s going, told by the people closest to the work. Hosted on Acast. See acast.com/privacy for more information.

資訊

  • 創作者
    OpenAI
  • 活躍年代
    2025年 - 2026年
  • 集數
    17
  • 年齡分級
    兒少適宜
  • 版權
    © OpenAI
  • 節目網站
    OpenAI Podcast

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