• AI Safety Breakthrough

  • 著者: AI SafeGuard
  • ポッドキャスト

AI Safety Breakthrough

著者: AI SafeGuard
  • サマリー

  • The future of AI is in our hands. Join AI SafeGuard on "AI Safety Breakthrough" as we explore the frontiers of AI safety research and discuss how we can ensure a future where AI remains beneficial for everyone. We delve into the latest breakthroughs, uncover potential risks, and empower listeners to become informed participants in the conversation about AI's role in society. Subscribe now and become part of the solution!

    Intro about the author

    J, graduated from Carnegie Mellon University, School of Computer Science, 10+ years in Cybersecurity, Cyber Threat Intelligence, Risk, Compliance, privacy and AI Safety.

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あらすじ・解説

The future of AI is in our hands. Join AI SafeGuard on "AI Safety Breakthrough" as we explore the frontiers of AI safety research and discuss how we can ensure a future where AI remains beneficial for everyone. We delve into the latest breakthroughs, uncover potential risks, and empower listeners to become informed participants in the conversation about AI's role in society. Subscribe now and become part of the solution!

Intro about the author

J, graduated from Carnegie Mellon University, School of Computer Science, 10+ years in Cybersecurity, Cyber Threat Intelligence, Risk, Compliance, privacy and AI Safety.

エピソード
  • Agent Bench: Evaluating LLMs as Agents
    2024/11/27

    Large Language Models (LLMs) are rapidly evolving, but how do we assess their ability to act as agents in complex, real-world scenarios? Join Jenny as we explore Agent Bench, a new benchmark designed to evaluate LLMs in diverse environments, from operating systems to digital card games.

    We'll delve into the key findings, including the strengths and weaknesses of different LLMs and the challenges of developing truly intelligent agents.

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    13 分
  • Hacking AI for Good: Open AI’s Red Teaming Approach
    2024/11/24

    In this podcast, we delve into OpenAI's innovative approach to enhancing AI safety through red teaming—a structured process that uses both human expertise and automated systems to identify potential risks in AI models. We explore how OpenAI collaborates with external experts to test frontier models and employs automated methods to scale the discovery of model vulnerabilities. Join Jenny as we discuss the value of red teaming in developing safer, more reliable AI systems.

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    18 分
  • Surgical Precision: PKE’s Role in AI Safety
    2024/11/24

    Explore how Precision Knowledge Editing (PKE) refines AI for safety and ethical behavior in Surgical Precision: PKE’s Role in AI Safety.

    Join experts as we uncover the science, challenges, and breakthroughs shaping trustworthy AI. Perfect for tech enthusiasts and professionals alike, this podcast reveals how PKE ensures AI serves humanity responsibly.

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    14 分

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