본문으로 건너뛰기

최신 팟캐스트 지식.

Podwise가 처리한 새 에피소드. 검색하고 훑어보고 앱에서 이어 보세요.

방금 요약됨

재생하기 전에 각 에피소드가 다루는 내용을 읽어보세요.

Stanford Online

Stanford CS329A Self-Improving AI Agents | Part 2 | Test-Time Compute Scaling

AI 요약 Inference scaling enhances Large Language Model performance by increasing test-time compute rather than modifying model parameters. Repeated sampling, where models generate multiple candidates for a single input, allows smaller models to surpass larger, proprietary systems when…

  • LLM (Large Language Model)
  • Inference Scaling
  • Infinite Monkey Theorem

English요약 · 스크립트

Stanford Online

Stanford CS329A Self-Improving AI Agents | Part 1 | Course Overview

AI 요약 Large language models are transitioning from static chatbots into autonomous agents capable of end-to-end task completion through planning, multi-step reasoning, and self-correction. While initial performance gains relied on scaling compute, data, and parameters, recent…

  • LLM (Large Language Model)
  • Scaling Laws
  • Chain of Thought

English요약 · 스크립트

C哥聊科技

【C哥日课】未来的某种形状:私人定制产品

AI 요약 AI 时代正在推翻追求 “最大公约数” 和 “低门槛” 的古典产品逻辑,将老需求与个人审美、习惯及趣味相结合,裂变出指数级的非标新需求。过去因技术限制而隐形的个性化需求,如今正通过按需生成走向现实,即使是服务于个位众数的极小规模需求也具备商业价值。由于个体无法完全手搓满足所有需求,未来的数字化产品将从 “算法推荐” 进化为 “私人定制”,形成供给与需求同步爆炸的多对多手工艺服务模式。这种变革意味着用户不再是被动搜索或接受推送,而是以极低成本获得量身定制的旅行攻略或数字化产品,彻底重塑互联网服务的交付范式。

  • 最大公约数需求
  • 标准化服务
  • 按需生成

00:02:18Chinese요약 · 스크립트

The Geek Narrator

The LLVM of Databases - DataFusion Internals ft. Andrew Lamb

AI 요약 DataFusion has matured into a foundational component for diverse, specialized data systems, enabling developers to build high-performance, bespoke query engines. The engine optimizes performance through sophisticated logical and physical planning, including predicate pushdown,…

  • DataFusion
  • Parquet
  • SQL (Structured Query Language)

English요약 · 스크립트

Decoder with Nilay Patel

The OpenAI board member who fired Sam Altman says we still can't trust AI CEOs

AI 요약 AI safety and regulation require moving beyond the current reliance on individual trustworthiness toward robust institutional accountability and technical oversight. Helen Toner, Executive Director of the Center for Security and Emerging Technology, argues that the industry’s…

  • AGI
  • Alignment
  • Recursive Self-Improvement

1 h 11 minEnglish요약 · 스크립트

George Gammon

You Won't Believe The Fed's New Plan (Interest Rate Reset)

AI 요약 The Federal Reserve’s potential 50 basis point interest rate hike reflects a strategy driven by institutional self-preservation rather than economic stabilization. Recent volatility in the two-year Treasury yield, triggered by Christopher Waller’s hawkish remarks, highlights how…

  • Federal Reserve
  • Basis Point
  • CPI (Consumer Price Index)

English요약 · 스크립트

더 많은 새 에피소드

  1. 요약55:04
  2. 69 - The Couples Conundrum

    TRAP: The Real Adviser Podcast

    요약1 h 43 min
  3. 70 - BitCoin Battles

    TRAP: The Real Adviser Podcast

    요약1 h 33 min
  4. 66 - From Panic to Poise: Guiding Clients Through Market Volatility

    TRAP: The Real Adviser Podcast

    요약1 h 34 min
  5. 64 - Escape Artist On FIRE

    TRAP: The Real Adviser Podcast

    요약1 h 33 min
  6. 68 - Tariff Tantrums

    TRAP: The Real Adviser Podcast

    요약1 h 45 min
  7. 63 - We Need To Talk About Trump

    TRAP: The Real Adviser Podcast

    요약1 h 28 min
  8. 67 - Events, Dear Boy, Events!

    TRAP: The Real Adviser Podcast

    요약1 h 32 min
  9. 65 - The Metrics That Matter

    TRAP: The Real Adviser Podcast

    요약1 h 37 min
  10. 62 - Planning Your Best Year Yet

    TRAP: The Real Adviser Podcast

    요약1 h 39 min
  11. 요약00:43:34
  12. The Year of the Trojan Fire Horse

    Eye On The Market

    요약20 min
  13. 요약5 h 38 min
  14. 요약1 h 26 min
  15. 요약3 h 0 min
  16. 요약18 min
  17. 요약4 h 6 min
  18. BBC speaks to anti-Putin Russian journalist

    Global News Podcast

    요약30 min
  19. 요약2 h 12 min
  20. BE 607: What Should You Put a Stop To at Work?

    Business English from All Ears English

    요약16 min
  21. MAKE HER WORK FOR IT : DON'T JUST HAND IT OVER

    THE MAN MINDSET

    요약2 h 35 min
  22. 요약3 h 20 min
  23. 요약2 h 55 min
  24. 요약2 h 58 min
  25. 요약4 h 40 min
Podwise

모든 새 에피소드에 요약을.

Podwise에서 프로그램을 팔로우하고 들을지 결정하기 전에 새 에피소드를 읽으세요.