The Autonolas stack aims to address the ‘A’ in DAO (decentralised autonomous organisation), through its Open Autonomy framework, which enables the creation of autonomous, off-chain services for crypto applications. A key component for ensuring the proper operation of these off-chain autonomous economic agents, is the consensus mechanism. The protocol is overseen by the Governatooorr, the world’s first autonomous, AI-powered governor.

We were joined by David Minarsch, co-founder of Valory, to discuss the ever-changing landscape of AI agents and how they can be used to automate crypto applications.

Topics discussed in this episode:
- David’s background and founding Valory
- Agentic AI systems
- Multi-agent systems
- Autonolas’ agent framework
- Collaborative agent economy & composability
- DAO optimisation via autonomous agents
- Potential attack vectors & AI risks

Links mentioned in this episode: 
- David Minarsch on Twitter: https://bit.ly/3HxDSZ0
- Autonolas on Twitter: https://bit.ly/3vONSuu
- Valory on Twitter: https://bit.ly/42j8kzQ

Sponsors: 
- Gnosis: Gnosis builds decentralized infrastructure for the Ethereum ecosystem, since 2015. This year marks the launch of Gnosis Pay— the world's first Decentralized Payment Network. Get started today at gnosis.io - 
- Chorus1: Chorus One is one of the largest node operators worldwide, supporting more than 100,000 delegators, across 45 networks. The recently launched OPUS allows staking up to 8,000 ETH in a single transaction. Enjoy the highest yields and institutional grade security at chorus.one -

This episode is hosted by Friederike Ernst. Show notes and listening options: https://epicenter.tv/532

Epicenter - Learn about Crypto, Blockchain, Ethereum, Bitcoin and Distributed Technologies

#532 David Minarsch: Autonolas – Autonomous AI Agents.

In this episode, we dive deep into the frontier of artificial intelligence, focusing on the potential for developing consciousness-like properties in machines. Building on the Free Energy Principle (FEP), a groundbreaking framework from neuroscience, we explore how AI systems could use predictive processing and active inference to develop subjective world models and adapt to their environments, mirroring elements of conscious experience.

Join us as we unravel the theoretical foundations behind artificial consciousness, discuss how multi-agent AI systems might employ FEP to reduce uncertainty and achieve self-awareness, and contemplate the philosophical and ethical implications of such advancements. From potential medical applications to space exploration, this episode provides an in-depth look at how integrating cognitive science with advanced AI could revolutionize our understanding of mind and machine.

Linkedin: https://www.linkedin.com/pulse/towards-artificial-consciousness-leveraging-free-energy-smith-z7r7e/

Medium: https://medium.com/@jsmith0475

Towards Artificial Consciousness- Leveraging the Free Energy Principle in Multi-Agent Systems

Welcome to the exciting world of AI with your host, Shailendra Kumar, affectionately known as Shaily! 🎙️ In this episode, Shaily takes us on a thrilling journey into the realm of Autonomous Multi-Agent Systems, a concept that feels like it's straight out of a sci-fi blockbuster. 🚀 

Imagine it's the year 2025, and businesses are revolutionized by Salesforce, utilizing multi-agent teams powered by large language models. Shaily paints a vivid picture of these AI agents working collaboratively, much like a busy anthill, to manage product launches, marketing campaigns, and supply chains. All of this happens while ensuring a smooth customer experience. Shaily shares a personal anecdote from his early days in AI, likening the challenges of managing a client’s entire system to baking a pie with one hand tied behind his back. Thankfully, AI is evolving to provide the necessary support, akin to having multiple hands to assist! 👐

Shaily also highlights the role of AI in social media management, introducing platforms like Socialsonic that automate content creation. These AI agents are described as superheroes that can analyze audience sentiment, optimize posting schedules, and detect trends—all without needing a coffee break! ☕ This reminds Shaily of his own experiences, tirelessly analyzing data fueled by strong Indian chai. 

He offers a practical tip for integrating AI into your strategy: start small by letting AI handle repetitive tasks, and gradually expand their responsibilities. This approach can save you valuable time, allowing you to focus on more creative aspects of your work. ⏳

In addition to these insights, Shaily mentions Reddit's new AI feature that summarizes answers, making it easier to navigate through information in our fast-paced world. He also discusses YouTube's AI-driven content recommendations, which could predict what you want to watch next—perhaps an epic wildlife documentary marathon! 🦁

Shaily poses a playful question about the future of AI agents, wondering if they might soon have their own desks at work, complete with mini palm trees! 🌴 He quotes Albert Einstein, reflecting on the nature of intelligence and adaptability, which is particularly relevant as AI continues to evolve rapidly.

To stay connected with the latest in AI, Shaily encourages listeners to subscribe to the show on YouTube, engage on Twitter, connect on LinkedIn, and explore discussions on Medium. He invites everyone to share their thoughts and predictions in the comments, fostering a community of curious minds. 

As he wraps up this informative episode, Shaily leaves us with a reminder to stay curious and consider how AI will reshape our future. Until next time, this is Shaily, signing off! ✌️

AI Agents Unleashed: The Future of Business and Social Media

Medium: https://medium.com/@jsmith0475/we-built-a-10-agent-ai-system-that-monitors-our-225k-project-in-real-time-heres-what-we-learned-1f0de27ca852
"We Built a 10-Agent AI System That Monitors Our $225K Project in Real-Time - Here's What We Learned," written by Dr. Jerry A. Smith, detailing the development and performance of a specialized AI system. This system utilizes ten distinct, collaborating AI agents to continuously monitor a $225,000 consulting project by synthesizing data from multiple sources like email, calendar, budget, and task trackers. The core achievement of ForeSight is its ability to detect complex project risks 7 days earlier than human managers could and dramatically reduce status reporting time from hours to just 4.2 minutes. The author argues that this multi-agent architecture, which relies on parallel execution and inter-agent communication via a Redis message queue, shifts project management from reactive data compilation to proactive strategic decision-making. The article concludes by emphasizing that the collaborative intelligence of specialized agents offers a massive return on investment by saving hundreds of thousands of dollars in manual labor and preventing costly delays or budget overruns.

We Built a 10-Agent AI System That Monitors Our $225K Project in Real-Time - Here's What We Learned

Medium Article:
"The Devil’s Advocate Architecture," by Dr. Jerry A. Smith, introduces a novel framework for designing highly reliable artificial intelligence (AI) by mirroring principles of human psychological and organizational decision-making. The core argument is that modern AI fails due to overconfidence and a lack of doubt, which the proposed multi-agent system counters through structured conflict and debate. This architecture employs three distinct roles—the Worker (proposing a solution), the Devil’s Advocate (critiquing risks), and the Reviewer (synthesizing the final decision)—to overcome cognitive biases like groupthink. Crucially, suppose the Reviewer’s confidence falls below a set threshold. In that case, the system initiates a Genetic Mutation Loop, forcing agents to fundamentally evolve their strategies in response to the identified failure mode, leading to antifragile, battle-hardened solutions. A case study of IT incident resolution demonstrates how this dialectical process and targeted evolution yield comprehensive, contingent plans, making the approach applicable to high-stakes fields such as medical diagnosis and financial planning.

The Devil’s Advocate Architecture-How Multi-Agent AI Systems Mirror Human Decision-Making Psychology

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

In-Depth Explorations of Neuroscience-Inspired Architectures Revolutionizing AI.

Epicenter is a podcast about the technologies, projects & people driving decentralization and the global blockchain revolution.

Epicenter is hosted by Brian Fabian Crain, Sebastien Couture and Meher Roy. Every week, we find the most interesting people in the industry for in-depth discussions about their projects, ideas and stories.

New tracks tagged #multi-agent