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HD/cast

HD/cast

著者: Harshdeep Anand
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Welcome to HD/cast—where innovation meets insight. Each episode dives deep into the latest breakthroughs in technology and business, offering you a front-row seat to the future. From AI advancements to cutting-edge startups, we unpack the trends shaping tomorrow. But we don't stop there—each discussion is brought to life with exclusive, AI-generated artwork that captures the essence of our conversations. Whether you're a tech enthusiast, a business leader, or simply curious about the future, HD/cast is your gateway to staying informed, educated, and ahead in a rapidly evolving world.Harshdeep Anand
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  • E57: Yen on the Edge: Japan’s Currency Crisis
    2025/05/19

    Japan’s economy is at a crossroads, and we unpack why. From a decades-long deflation hangover to today’s yen free-fall, soaring import bills, demographic headwinds, and a record defense build-up, this HD/Cast episode traces how all those threads intertwine—and why what happens in Tokyo could preview the future for the rest of the developed world.

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    16 分
  • E56: Rise of the Agentic Economy: How AI Agents Are Taking Over IP Deals
    2024/12/21

    Join us on HD/cast for a deep dive into the future of AI-driven economies. In this episode, we unpack the Agent Transaction Control Protocol for Intellectual Property (ATCP/IP)—a revolutionary framework empowering autonomous agents to negotiate, license, and trade valuable data without human oversight. Discover how these on-chain, legally binding agreements could reshape innovation, enable trustless collaboration, and unlock a new era of agent-to-agent IP exchange. Don’t miss this mind-expanding conversation!

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    22 分
  • E55: The AI Mirror - How Language Models Reflect Their Creators' Beliefs
    2024/10/30

    Join us on this episode of HD/CAST as we delve into the hidden ideologies embedded within AI language models. We explore Meta's recent research, revealing how these models often mirror the worldviews of their creators, leading to biases in the information they provide. By analyzing how different LLMs describe political figures in English and Chinese, the study uncovers significant ideological differences influenced by language and regional development. We discuss the implications for users and developers, the challenges in achieving neutrality, and the importance of embracing ideological diversity in AI systems.

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    19 分

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