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刚刚摘要

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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

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  1. Rich Sutton：能够持续学习的智能体才是未来

    播客翻译计划

    摘要00:51:19
  2. Bringing Continual Learning into Enterprises — Samuel Denton, Applied Compute

    AI Engineer

    摘要19 min
  3. 为什么我们需要持续学习 | a16z万字长文

    AI前沿

    摘要27 min
  4. Self-learning and Continuous Learning for AI

    Embedded AI - Intelligence at the Deep Edge

    摘要26 min
  5. Continual Learning via Sparse Memory Finetuning

    Best AI papers explained

    摘要00:14:18
  6. Walter Russell Mead - How America Keeps Winning - [Invest Like the Best, EP.490]

    Invest Like the Best with Patrick O'Shaughnessy

    摘要1 h 14 min
  7. 'No One Is Coming To Save You': The Brutal Truth About AI And Your Job

    Tom Bilyeu's Impact Theory

    摘要00:50:21
  8. Kobuk the Destroyer

    99% Invisible

    摘要00:38:01
  9. No.42：我们仍在故事的中途

    得意忘形

    摘要
  10. No.40：帮助中国独立设计师和教育孩子可能是一回事

    得意忘形

    摘要
  11. No.41：死亡是凉爽的夜晚

    得意忘形

    摘要
  12. YouTube’s New SEO Update Changes EVERYTHING

    Dan the creator

    摘要
  13. No.43：以「由艺入道」的人生态度沉迷游戏

    得意忘形

    摘要
  14. No.44：《得意忘形》特别期之年度混剪

    得意忘形

    摘要
  15. The New Era of Social Media Has Just Begun

    GaryVee

    摘要
  16. The New Rules of YouTube (2027)

    Colin and Samir

    摘要
  17. Emergency Pod: YouTube Views Just Changed

    Colin and Samir

    摘要
  18. You Can Learn Deep Research AI Agent Design & Launch In 25 Min | Kimi K2 0905, LangChain, OpenSource

    Sean‘s AI Stories

    摘要
  19. Mahomes or Allen (Again???) and a Clippers-Heavy Mailbag With Nick Wright

    The Bill Simmons Podcast

    摘要1 h 48 min
  20. Want more intimacy in your relationships? Conflict could help

    Life Kit

    摘要21 min
  21. No.59：山与我心里的叙事

    得意忘形

    摘要5 h 27 min
  22. You Can Learn Hermes Agent Harness In 20 Min | Loop Engineering, Memory System, Self-Improving AI

    Sean‘s AI Stories

    摘要
  23. No.47：愿你早日脱离现实引力

    得意忘形

    摘要
  24. No.45：我们与金钱的距离

    得意忘形

    摘要
  25. No.49：请管好你的企鹅

    得意忘形

    摘要
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