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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Canva Is Tackling AI Design’s Most Frustrating Problem with Stefano Corazza- #784

AI 요약 Canva’s AI research team is transforming design workflows by shifting from single-shot image generation to iterative, human-in-the-loop processes. Stefano Corazza, head of AI research, details the development of the "Craft" model, which utilizes a two-stage…

  • Canva
  • Canva Craft
  • Canva Brush

58 minEnglish요약 · 스크립트

Search Engine

What was Jensen Huang thinking?

AI 요약 Nvidia CEO Jensen Huang faces a major scandal involving an alleged affair with a woman linked to Chinese intelligence, raising critical questions about the security of U.S. AI chip export controls. Reporters and industry experts, including Leo Schwartz of The Information and…

  • Nvidia
  • Jensen Huang
  • Export controls

44 minEnglish요약 · 스크립트

Letters from an American

Hitting the Ground Running

AI 요약 Washington’s political climate has undergone a rapid transformation following the midterm elections, with Democrats preparing an aggressive agenda focused on affordability and government accountability. Key initiatives include reversing Medicaid work requirements and launching…

  • Project 2025
  • War Powers Act
  • Medicaid

16 minEnglish요약 · 스크립트

松原タニシの恐味津々

#293 全国を結ぶUMA・妖怪の足跡?地方の不思議スポットをご紹介!そしてラストは衝撃の…【対談相手:吉田 猛々(ナナフシギ)】

AI 요약 YouTube チャンネル「ナナフシギ」の吉田猛々が、怪談やオカルトへの傾倒と、全国各地の伝承を巡るフィールドワークの経緯を語る。岩手県の丹内山神社や秩父の即道神社、新潟の西生寺など、現地調査で得た知見を基に、妖怪や UMA の正体を考察する。特に、ビッグフットがテレポーテーション能力を持つという仮説や、各地の伝承が同一の存在を指しているという独自の「UMA 妖怪説」を展開。お笑い芸人としての活動と並行し、怪談本『独り言』の出版や毎日更新の動画配信を行うなど、オカルト探究者としての多忙な日常も明かされる。

  • UMA
  • アラハバキ
  • マロウド神

43 minJapanese요약 · 스크립트

How I AI

Claude Code + Obsidian: My family’s AI brain | Scott Farrar

AI 요약 Managing a household with AI requires grounding large language models in a persistent, transparent "source of truth" rather than relying on ephemeral chat sessions. By utilizing local Markdown files as a personal knowledge base, homeowners can provide AI agents with specific…

  • Claude Code
  • Obsidian
  • Markdown

00:34:14English요약 · 스크립트

BestBlogs

EP234 · A2UI 生成界面、Codex 持续排障、Muse 优化 TPU 推理

AI 요약 AI 智能体正从简单的对话交互转向更高效的工程化落地。Google A2UI 1.0 通过原生交互卡片将模型决策与应用界面结合,减少了用户反复确认的沟通成本。OpenAI Codex 的持续工程实践证明,通过将复杂任务拆解为 “主智能体协调 + 子智能体执行” 的模式,能有效实现长期维护。同时,针对 TPU 的推理优化及自动化验收机制,进一步解决了长任务运行中的性能瓶颈与可靠性问题。这些实践强调了在生成式 AI 时代,明确输出条件、构建可验证的循环流程以及优化底层执行路径,是提升智能体生产力的关键,也标志着 AI…

  • A2UI 1.0
  • Codex
  • TPU

00:15:07Chinese요약 · 스크립트

더 많은 새 에피소드

  1. Why All Models Learn the Same Thing with Phillip Isola (MIT)

    The Information Bottleneck

    요약1 h 11 min
  2. 요약58:48
  3. Ep#71: Build Your Own Robot

    RoboPapers

    요약1 h 1 min
  4. 요약58:18
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  6. Sergey Levine on Why Real-World Data Will Define Physical AI

    Automated with Brian Heater

    요약46 min
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    Automated with Brian Heater

    요약47 min
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  13. Introducing Gemini Robotics 2

    Google AI: Release Notes

    요약39 min
  14. This 3-hour Elizabeth Holmes doc broke our brains

    My First Million

    요약56 min
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  17. 요약01:22:58
  18. Alberta rejects move towards Canada independence

    Global News Podcast

    요약25 min
  19. Can One AI Model Control Every Robot? | Sergey Levine

    SparX by Mukesh Bansal

    요약00:56:28
  20. 요약1 h 3 min
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    Automated with Brian Heater

    요약52 min
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