Multi-agent systems could mark a significant turning point in generative AI. From mastering increasingly complex tasks to getting LLMs to collaborate, in this Five-Minute Friday, Jon Krohn discusses the systems that are working to bridge the remaining gaps left by the latest large language models (LLMs).

Additional materials: www.superdatascience.com/788

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The Super Data Science Podcast: Machine Learning | AI | Success

788: Multi-Agent Systems: How Teams of LLMs Excel at Complex Tasks

Agentic AI is revolutionizing the tech landscape, and Shingai Manjengwa from ChainML is here to tell us why. Discover how AI agents are becoming an integral part of our lives, automating tasks like travel bookings and daily inspiration. Shingai explains the power of multi-agent systems, where AI agents collaborate to solve complex challenges, and highlights how blockchain technology is enhancing AI transparency and trust. Plus, get an inside look at ChainML’s innovative Theoriq protocol and the groundbreaking Council Analytics tool.

This episode is brought to you by Gurobi (https://www.gurobi.com/personas/optimization-for-data-scientists), the Decision Intelligence Leader, and by ODSC (https://odsc.com/california), the Open Data Science Conference. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• What A.I. agents are [10:51]
• How blockchain technology helps humans trust A.I. agents [18:27]
• The Theoriq protocol developed by ChainML [34:05]
• How Council Analytics lets you “speak” to their dataset with natural language [39:00]
• A future of multi-agent systems [50:42]
• Challenges and risks associated with agentic AI [1:04:17]

Additional materials: www.superdatascience.com/809

809: Agentic AI, with Shingai Manjengwa

We discuss a research paper presented at NeurIPS 2024 that introduces and formalizes the concept of secret collusion among AI agents, - a pressing security concern in multi-agent systems. The paper proposes that generative AI agents, particularly large language models (LLMs), may exploit steganography to covertly communicate and evade oversight. We explore the authors’ detailed threat model, which outlines how and why LLMs might engage in hidden interactions, and examine the theoretical foundations of their steganographic capabilities. The conversation also covers empirical findings showing that these capabilities are advancing in frontier LLMs, underscoring the limitations of current mitigation efforts and the urgent need for a broader AI safety research agenda

The Day AI Learned to Whisper: A Steganographic Tale of Collusion

In this episode, we dive into Google DeepMind’s groundbreaking Gemini 2.5 “Deep Think”, - the multi-agent AI model reshaping what’s possible in enterprise problem-solving. From achieving gold-medal math scores to delivering 30% gains in code generation, we unpack how parallel reasoning and the “swarm advantage” can transform strategy, R&D, and long-horizon planning. Join us as we compare Deep Think to GPT-4 and Claude, explore its real-world applications, and ask: is the era of the lone genius AI over?

Bit & Being - From Chatbot to Think Tank: The Swarm Advantage and Parallel Reasoning

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

New tracks tagged #Multi Agent Systems