Agents of Tomorrow

Agents of Tomorrow is a podcast on AI agents created with AI agents and a human touch. Join us as we explore the latest innovations and applications in the world of AI agents. Each episode dives into real-world applications and cutting-edge frameworks. Tune in to stay ahead of the game. Acknowledgement: this podcast is created with NotebookLM and contains generative content.

Agents of Tomorrow is a news podcast hosted by The Agents of Tomorrow Show, with 5 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

The Agents of Tomorrow Show hosts Agents of Tomorrow, a news show with 5 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

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  Episode #5

  Ep5: Multimodal AI Agents: Benchmarking, Adapting, and Adversarial attacks

  Nov 25, 202448 minS1

  <p>In this episode, we dive into the multimodal AI agents, starting with the recent release of runner H and diving into groundbreaking research, including:</p><p>04:15 VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks by Jing Yu Koh et. al</p><p>19:18 AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations by Gaurav Verma et. al.</p><p>32:32 Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast by Xiangming Gu et. al.</p>

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  Episode #4

  Ep4: AI Agents in Creativity and Design: Minecraft as a 3D Playground, Creating Dream Spaces and 3D Modeling

  Nov 18, 202438 minS4

  <p>In this episode, we dive into the groundbreaking world of AI agents transforming creativity and design. We start with navigating 3D environments in Minecraft, setting the stage for more complex real-world tasks. Then, we explore how AI agents are revolutionizing 3D modeling in Blender, bringing intricate designs to life. Finally, we delve into the fascinating applications in interior design, where spatial reasoning is used to create dream spaces. Subscribe and tune in to discover new agentic applications every week.</p><p></p><p>Papers covered:</p><p>SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code by...

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  Episode #3

  Ep3: What’s new in AI agents for browser & edge

  Nov 11, 202426 minS1

  <p>In this episode, we explore various paradigms enabling AI agents to take actions on the web and on the edge. We delve into the multi-modal method used by Magentic-One, recently released by Microsoft, and the reinforcement learning-based navigation method Agent Q developed by MultiOn. Additionally, we discuss TinyAgent from UC Berkeley, which allows agents to operate on edge devices and assist users with daily tasks.</p>

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  Episode #2

  Ep2: How AI Agents Are Shaping Hiring, Healthcare and Knowledge Work

  Nov 3, 202420 minS1

  <p>In this episode, we dive into LinkedIn’s use of AI agents for hiring, Oracle’s clinical AI agent, and review three papers on AI agents in knowledge work, including applications in machine learning and software engineering.</p><p>Papers covered:</p>(03:56 - 07:07) WorkArena++: Towards Compositional Planning and Reasoning-based Common Knowledge Work Tasks by Léo Boisvert et al.(07:08 - 10:12) SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning by Yizhou Chi et al.(10:13 - 19:30) MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework by Sirui Hong et al.

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  Episode #1

  Ep1 - Claude3.5, AgentForce, Copilot Studio, AgentC, Mixture-of-Agents, Agent-as-a-Judge, On the limits of agency

  Oct 25, 202443 minS1

  <p>Applications covered:</p><p>(0:00 - 5:15) </p><p>Claude 3.5 - Anthropic</p><p>AgentForce - Salesforce</p><p>Copilot Studio - Microsoft</p><p>AgentC - Celonis</p><p></p><p>Papers covered:</p><p>(5:16 - 19:28) Mixture-of-Agents Enhances Large Language Model Capabilities by Junlin Wang et al.</p><p>(19:29 - 32:10) Agent-as-a-Judge: Evaluate Agents with Agents by Mingchen Zhuge et al. </p><p>(32:11 - 42:44) On the limits of agency in agent-based models by Ayush Chopra et al.</p>

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