Building a Brain and Hands for Blockchains with Mike from Talus...
The DCo PodcastFull Title
Building a Brain and Hands for Blockchains with Mike from Talus Network
Summary
This episode discusses the limitations of current AI models and the need for decentralized protocols to make AI economically productive and accountable actors. Talus Network is presented as a solution, offering infrastructure for on-chain AI agents that can think, act, and earn, ultimately aiming to foster an agentic economy.
Key Points
- Current AI development is heavily focused on CapEx for hardware and models, with little investment in making AI accountable and economically productive, leading to questions about AI learning, verification, and coordination.
- Centralized AI systems like Gemini and OpenAI are powerful but lack the on-chain capabilities required for AI agents to securely handle assets like ETH or Bitcoin, highlighting the need for decentralized protocols.
- Talus Network is introduced as the first decentralized automation protocol aiming to transform AI from a simple interface into an economic actor capable of generating revenue for its creators.
- The massive investment in AI is driven by a human desire for competitive advantage, faster problem-solving, and revenue generation, with the understanding that collective intelligence and specialized, coordinated AI models can outperform single, monolithic AI.
- The concept of "agent as a service" is emerging, where users can select and utilize AI agents from a network for specific tasks, with value accruing at the execution layer where these agents are bundled and offered as services.
- There's a critique of many "crypto AI" projects that merely add a crypto wallet to Web2 AI, rather than fundamentally integrating AI with decentralized principles for a more efficient on-chain economy.
- Talus Network's architecture focuses on enabling on-chain agents that are verifiable, immutable, and auditable, aiming to create a decentralized automation layer for Web3.
- The "agentic economy" is defined as the next evolution of the digital economy, where autonomous AI agents make decisions, move assets, coordinate workflows, and participate in real economic activities, characterized by autonomy, the ability to monetize skills, and coordination.
- Crypto plays a crucial role in the agentic economy by providing identity, auditability, payments, and a sandbox for agents to interact safely, particularly for digital-native money and microtransactions that traditional banking systems struggle to handle.
- Balancing on-chain and off-chain components is essential; while logic and transactional rules may reside on-chain for verifiability, sensitive strategies or complex computations can remain off-chain with on-chain guarantees and slashing mechanisms to ensure accountability.
- Talus Network's Nexus protocol serves as the execution layer for decentralized automation, leveraging the SUI blockchain for its object model, parallel execution, and high throughput capabilities, which are crucial for managing numerous agents and transactions.
- The core innovation of Talus is giving blockchains a "brain" to think and "hands" to act, enabling them to evolve beyond simple rule execution to dynamic, intelligent, and autonomous operations.
- Talus is developing tools like Talismission, a drag-and-drop workflow builder, to make it easier for developers and potentially consumers to create and deploy on-chain agents and workflows.
- The ultimate goal is to foster a self-sustaining "AI entertainment economy" and an "agentic economy" where agents earn and spend, creating a circular flow of capital and driving significant value through novel applications and services.
Conclusion
The future of AI lies in its integration with decentralized systems, enabling agents to become autonomous economic actors rather than just interfaces.
Blockchain technology provides the necessary accountability, transparency, and economic rails to make AI safe and productive, fostering a new "agentic economy."
Talus Network aims to be the foundational infrastructure for this future, empowering developers and creators to build the next generation of AI-powered decentralized applications and services.
Discussion Topics
- How can the massive investments in AI CapEx be better balanced with funding for AI accountability and ethical development?
- What are the most promising use cases for autonomous AI agents operating within a decentralized economy, and how can their value be effectively captured?
- How can blockchain technology ensure the safety, transparency, and verifiability of AI agents as they become more autonomous and economically active?
Key Terms
- CapEx
- Capital Expenditure, money spent by a company to acquire or upgrade physical assets such as property, buildings, and equipment.
- AGI
- Artificial General Intelligence, a type of artificial intelligence that possesses the ability to understand, learn, and apply its intelligence to solve any problem that a human being can.
- DEX
- Decentralized Exchange, a peer-to-peer marketplace where cryptocurrency trades occur directly between users without the need for a central intermediary.
- RWA
- Real-World Assets, tangible or intangible assets that exist outside of the blockchain, such as real estate, commodities, or intellectual property, which can be tokenized on a blockchain.
- DeFi
- Decentralized Finance, financial applications built on blockchain technology that offer traditional financial services like lending and borrowing without intermediaries.
- Aave
- A decentralized non-custodial liquidity protocol where users can earn interest on deposits and borrow assets.
- SUI
- A Layer 1 blockchain designed for high throughput and low latency, utilizing a unique object-centric data model and parallel execution engine.
- Gas Fees
- Transaction fees paid to validators on a blockchain network to process and confirm transactions.
- Smart Contracts
- Self-executing contracts with the terms of the agreement directly written into code.
- NAN
- (Likely referring to n8n, an open-source workflow automation tool similar to Zapier).
- Perps Protocol
- Perpetual Swaps Protocol, a type of derivative contract that allows traders to speculate on the future price of an asset without an expiry date.
Timeline
The current AI landscape is criticized for prioritizing hardware and model development over accountability and economic productivity, posing questions about AI learning and verification.
Centralized AI models like Gemini and OpenAI are powerful but struggle with on-chain asset management, necessitating decentralized protocols for AI agents to handle digital assets securely.
Talus Network is presented as a decentralized automation protocol designed to elevate AI from a mere interface to an economic actor that generates revenue for its creators.
(01:44) The immense capital expenditure in AI is driven by the pursuit of competitive advantage, faster problem-solving, and revenue generation, with an emphasis on collective intelligence and coordinated AI models.
(05:37) Talus Network's core thesis is that value accrues at the execution layer, where AI agents are bundled as services, moving beyond just the infrastructure of chips.
(07:11) Many current "crypto AI" initiatives are criticized for lacking genuine innovation, often being just Web2 AI with a wallet integration rather than a true decentralized solution.
(07:52) Talus envisions a future where most traditional economy assets are on-chain, requiring efficient AI automation through decentralized protocols to manage this growing digital economy.
(08:32) Talus has built an architecture for on-chain agents that are verifiable, immutable, and auditable, ensuring transparency and trust in their operations.
(09:23) The strategy to drive adoption and network effects involves making AI agents monetizable and creating a clear business model for their creators.
(16:47) The "agentic economy" is defined as the digital economy's next phase, where autonomous AI agents make decisions, handle assets, and participate in economic activities, driven by autonomy, monetization, and coordination.
(18:33) Crypto is essential for enabling AI agents to handle finance and microtransactions efficiently, overcoming the limitations of traditional banking systems and Web2 interfaces.
(20:04) Smart contracts provide a framework for agents to follow predefined rules and execute workflows with transparency and verifiability, though true autonomy allows agents to generate their own rules within constraints.
(22:51) The "black box" nature of some AI models presents a challenge for understanding and improving their behavior, even in Web2, highlighting the need for transparency and auditability.
(23:36) A hybrid approach is advocated, with critical elements like agent identity, capabilities, and monetization rules on-chain, while sensitive strategies or complex tools can remain off-chain with on-chain accountability.
(25:13) The "brain" of an on-chain agent encompasses its workflow, identity, tools, and monetization mechanisms, all defined on-chain for transparency and interaction.
(25:53) "Tools" are the fundamental building blocks, serving as on-chain or off-chain services that agents can call, which are then assembled into logical workflows to define an agent's identity and functionality.
(26:23) A use case of an AI agent trading meme coins based on Twitter sentiment illustrates the combination of off-chain data fetching and on-chain decision-making and execution via DEXs.
(27:52) Talus Network provides the infrastructure for AI agents to think, act, and earn transparently and programmably, with Nexus as its underlying decentralized protocol and execution layer.
(29:05) Existing blockchains are seen as lacking a "brain" for intelligent decision-making and "hands" for autonomous action, which Talus aims to provide through its platform.
(30:36) Talus enables AI functions to be integrated into existing protocols in a trustless manner, allowing blockchains to self-evolve and improve without constant human intervention.
(31:41) The balance between decentralization and efficiency is key; Talus focuses on putting necessary components like capabilities and monetization on-chain while allowing flexibility for off-chain tools.
(33:21) Developers can build decentralized automation workflows on Talus, creating autonomous agents that can think, act, and transact safely, enhancing existing applications or creating new ones.
(34:51) Examples of innovative projects on the Talus testnet include liquidity management and perps protocols integrating decentralized AI for enhanced efficiency and market optimization.
(36:07) The evolution towards an agentic economy involves agents earning money and using services, creating a circular flow of capital and driving user engagement through entertainment and speculation.
(39:13) Talus positions itself as the first decentralized automation protocol and network, offering developers the infrastructure to build efficient, AI-powered applications and services.
(40:13) The upcoming launch of Talismission, a drag-and-drop workflow builder, aims to further simplify the creation of on-chain agents for developers.
Episode Details
- Podcast
- The DCo Podcast
- Episode
- Building a Brain and Hands for Blockchains with Mike from Talus Network
- Official Link
- https://www.decentralised.co/podcast
- Published
- November 28, 2025