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⚡AI Agents: Autonomous Payments in Energy Systems with Don Gossen
2025/3/8
AI Unraveled: Latest AI News & Trends, GPT, ChatGPT, Gemini, Generative AI, LLMs, Prompting
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节目主持人
节目主持人: 本期节目探讨了Don Gossen开发的AI代理自主支付系统，该系统旨在解决清洁能源过剩导致的能源浪费问题。该系统利用AI代理和区块链技术在超本地层面管理能源分配，允许AI代理之间进行微交易，从而实现能源的优化利用。系统采用RAG技术，使AI代理能够主动搜索并分析数据，做出更明智的决策。此外，该系统还使用了名为DEPIN的特殊区块链，以高效处理微交易。该项目由多个公司合作完成，体现了技术融合的优势。未来，该系统将发展成为多智能体系统或‘蜂群’，实现更大范围的能源管理。虽然存在安全风险，但该技术有望逐步应用于能源领域，最终实现更低廉的能源成本和更环保的能源体系。
Don Gossen: (由于访谈中Don Gossen的发言分散在多个片段中，无法整合为一个完整的200字以上的第一人称陈述。)
supporting_evidences
节目主持人: You see in the DACH region, that's Germany, Austria and Switzerland. There's this incredible boom in solar and wind energy production. It's actually created a rather unique challenge. OK, so too much clean energy. That sounds like a good problem to have, right? ...It's not really set up to handle this much decentralized power generation. So instead of this being a win-win for clean energy, it's actually costing people money.
节目主持人: They're using AI to solve this problem. But how exactly does that work? Instead of relying on these massive centralized power grids, Don and his team are building a system where AI agents powered by blockchain technology manage energy distribution at a hyperlocal level.
节目主持人: Imagine your neighbor's solar panels are generating more energy than they need. Instead of that energy being wasted, an AI agent connected to your AC unit could automatically purchase that excess energy at a discounted price.
节目主持人: a more accurate picture of what's actually going on. It needs closer to real-time data, right? It needs to understand the weather. It needs to understand the production that's going on around it, right? So it needs access to newer data sets that requires it to basically say like, okay, historically, you know, I should probably be asking for new data at this point. Or maybe it's getting like a real-time data feed from, you know, about the, you...the weather right, and realizes, oh, it's sunny. I should check and see how much energy is being produced by my neighbor or my local area network.
节目主持人: This is how the AI agents make those smart decisions. They're constantly analyzing data like weather patterns, historical energy production, and real-time energy availability. So it's like the AI is learning from past trends and then using that knowledge to anticipate future energy needs.
节目主持人: When it determines it needs more information to make an informed decision, like realizing it's a sunny day and probably time for excess solar energy, it can actually go out and find that information.
节目主持人: This is where blockchain technology enters the picture. Remember how Don called his company's tech the PayPal for AI agents? Right. So it's handling all these microtransactions for energy, kind of like a digital Venmo for AI.
节目主持人: That's where Don's innovation really shines. They're using a specialized type of blockchain called a DEPIN, which stands for Decentralized Physical Infrastructure Network.
节目主持人: It's specifically designed to handle these kinds of microtransactions for managing physical assets like energy grids. So instead of one giant blockchain trying to do everything, there are these smaller, more specialized blockchains focused on specific tasks.
节目主持人: This isn't just one company working in isolation. Don described it like building with Legos, where each company brings a specific piece of expertise to the table. So it's a real team effort.
节目主持人: And with the whole project went from concept to launch in just three weeks, that's unheard of, especially for something this complex.
节目主持人: Well, Dawn has a vision for the future where these individual AI agents become part of larger interconnected swarms. And warms like a hive mind for energy management.
节目主持人: But these are going to work with other agents, right? With other air conditioning units and other devices. So really what we're seeing is the initial growth of multi-agent systems or AKA, they're also called swarms.
节目主持人: And these AI agents will operate largely behind the scenes, just like the algorithms that already power many aspects of our digital lives. You won't even notice them working, except maybe when you see your energy bill go down.
节目主持人: Yeah, it's a valid concern and something Don addressed head on. And he pointed out that every system has vulnerabilities and we shouldn't let fear of the unknown stifle progress. It's like saying we shouldn't build cars because they could get into accidents. Instead, we focus on making them safer as we learn and adapt. So it's about managing risk, not eliminating it entirely.
节目主持人: So Dawn predicts that the adoption of these AI powered systems will likely happen gradually. It might start with less critical applications like managing energy in individual buildings or neighborhoods.
节目主持人: I think the key takeaway here is that the future of energy is intelligent, adaptable, and surprisingly local.
节目主持人: We're moving away from these massive centralized systems and towards something more distributed, more responsive to individual needs.
节目主持人: If AI can manage something as complex as energy distribution, what other seemingly intractable problems in our lives could be solved with these kinds of invisible AI-powered systems?
Deep Dive
This chapter introduces Don Gossen and Nevermined's innovative 'PayPal for AI' system, focusing on its application in the energy sector. It explains how AI agents optimize energy consumption by autonomously managing systems like HVAC, using real-time data and predictive models. The system's ability to proactively search for data to make informed decisions is highlighted.
- AI agents autonomously manage energy distribution.
- Nevermined secured $4 million in funding.
- Retrieval Augmented Generation (RAG) enables smart decision-making.
- AI agents proactively search for data.
Shownotes Transcript