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Stanford Online

Stanford CS329A Self-Improving AI Agents | Part 9 | Future Research Areas

AI 摘要 Self-improving agents utilize test-time and train-time scaling, driven by verifiers and reinforcement learning to enhance reasoning in domains like math and coding. Achieving generalization requires diverse reasoning chains, often generated by multi-agent systems or iterative…

  • LLMs (Large Language Models)
  • Test-time Scaling
  • Train-time Scaling

English摘要 · 转录

Easy German: Learn German with native speakers | Deutsch lernen mit Muttersprachlern

710: Warum lebt Manuel so ordentlich?

AI 摘要 Die persönliche Organisation und das Streben nach Ordnung stehen im Mittelpunkt, wobei die Diskussion die neurobiologischen Grundlagen von ADHS und das Konzept der Neurodiversität beleuchtet. Während feste Systeme für manche Menschen eine notwendige Stütze im Alltag darstellen,…

  • DSGVO
  • Truth Social
  • ADHS

30:59German摘要 · 转录

Stanford Online

Stanford CS329A Self-Improving AI Agents | Part 7 | Self-Improvement and Deep Research Agents

AI 摘要 Improving large language model performance relies on leveraging search within the model's output space to curate high-quality solutions. AlphaCode demonstrated that massive-scale sampling, combined with filtering and clustering, allows models to solve complex competitive…

  • AlphaCode / AlphaCode 2
  • HumanEval
  • Gemini Pro

English摘要 · 转录

The Audit Podcast

IA on AI - Fall 2026 Audit Analytics & AI Conference: Key Takeaways

AI 摘要 The fall 2026 Audit Analytics & AI Conference emphasized practical, production-ready AI applications for internal audit departments. Effective strategies include persona-based reporting, where AI agents tailor communication styles to specific stakeholder preferences, and…

  • Benford's Law
  • Persona-based reporting
  • Shadow IT

19:15English摘要 · 转录

Stanford Online

Stanford CS329A Self-Improving AI Agents | Part 6 | Train Time Scaling/Scaling RL

AI 摘要 Train time scaling enhances AI reasoning capabilities by allowing models to learn from their own outputs, effectively substituting compute for parameter count. This approach leverages verification-rich domains like mathematics and coding to create closed-loop feedback systems.…

  • Train Time Scaling
  • Test Time Scaling
  • AIME (American Invitational Mathematics Examination)

English摘要 · 转录

更多新节目

全部 英文 中文
  1. Talking Robots: Frédéric Kaplan - Curious Interactive Robots

    Talking Robots - The Podcast on Robotics and Artificial Intelligence

    摘要31:15
  2. Talking Robots: Gianmarco Veruggio - Roboethics

    Talking Robots - The Podcast on Robotics and Artificial Intelligence

    摘要28:46
  3. Talking Robots: Roland Siegwart - Autonomous Robots

    Talking Robots - The Podcast on Robotics and Artificial Intelligence

    摘要22:24
  4. Talking Robots: Daniel Wilson - How to Survive a Robot Uprising

    Talking Robots - The Podcast on Robotics and Artificial Intelligence

    摘要21:19
  5. E157. “勤奋是奴隶的道德”，为什么你必须松弛下来？ft. 马兆远教授

    TIANYU2FM — 对谈未知领域

    摘要2:09:18
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    声动早咖啡

    摘要00:11:03
  7. Talking Robots: Jun Tani - Cognitive Robotics

    Talking Robots - The Podcast on Robotics and Artificial Intelligence

    摘要25:41
  8. Talking Robots: Dario Floreano - Evolutionary Robotics

    Talking Robots - The Podcast on Robotics and Artificial Intelligence

    摘要31:52
  9. Talking Robots: Laurent Keller - Robots and Biology

    Talking Robots - The Podcast on Robotics and Artificial Intelligence

    摘要16:55
  10. Talking Robots: Rolf Pfeifer - New AI

    Talking Robots - The Podcast on Robotics and Artificial Intelligence

    摘要37:35
  11. Talking Robots: Josh Bongard and Hod Lipson - Resilient Machines through continuous self modeling

    Talking Robots - The Podcast on Robotics and Artificial Intelligence

    摘要25:52
  12. Talking Robots: Francesco Mondada - Starting a Business in Research Robotics

    Talking Robots - The Podcast on Robotics and Artificial Intelligence

    摘要17:15
  13. How Products Get to Market Faster – and How AI helps Shoppers Find Them

    eCommerce MasterPlan

    摘要39 min
  14. Do-it-yourself energy traders are gaming the grid: Big Take | Zero: The Climate Race

    Bloomberg Podcasts

    摘要
  15. The Flood that Wrecked the Hard Disk Drive Industry

    Asianometry

    摘要
  16. The Experience Is Real. But Is God?

    Curt Jaimungal

    摘要
  17. How to break the link between real and reflected consciousness in practising Drg Drshya Viveka?

    Vedanta Society of New York

    摘要
  18. How Mitochondria Control Your Metabolism | Dr. Jared Rutter

    Andrew Huberman

    摘要
  19. Should You Take Statins in Your 30s? ApoB, LDL & Heart Disease Prevention | T. Dayspring & D. Soffer

    The Proof with Simon Hill

    摘要
  20. Why The Harness Matters More Than The Model | YC Paper Club

    Y Combinator

    摘要
  21. 朝新论道：闲聊修炼(59) | 小周天运转图

    梁某:朝新論道

    摘要56 min
  22. Why Frank Giustra Heavily Invested In The Most Overlooked Resource

    David Lin

    摘要
  23. Investors Turn to Emerging Market Debt Amid Yield Volatility | Insight with Haslinda Amin 9/7/2026

    Bloomberg Television

    摘要
  24. FII Selling, Oil Prices And The Risk Facing Indian Stocks | Govindraj Ethiraj | The Core Report

    The Core

    摘要
  25. Former Poker Player: The Exact Math That Helped My Trading!

    Crowded Market Report

    摘要
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