Bankless: How encryption technology becomes the super fuel for AI Agents

Combined with the transparency of the Decentralization network, this convergence of AI and encryption promises to usher in an era. Proxy (Agents) is making waves across the tech landscape, but what kind of sparks does encryption technology and it make? This article is based on an article written by David C. and was compiled, compiled, and written by Bitpush. (Synopsis: Franklin Templeton Report: AI Agent These 10 Encryption Projects Are Worth Following) (Background Supplement: Review" AI Agent Completes the Important Puzzle of the Metaverse, GameFiTokenization Killer) AI agents — artificial intelligence agents — have recently taken center stage in technology, not just encryption, as companies race to invest in software that can observe, reason, and act autonomously. These systems, sometimes referred to as autonomous agents, have the potential to change people's daily lives — one day, they might plan our schedules, shop online for us, or even build software without direct human help. The advent of ChatGPT was a turning point that turned advanced AI from a futuristic idea into a widely used tool that proved that these models could learn and adapt in real time. When developers realized that AI could do more than just answer text prompts — handling tasks like managing calendars or coding, for example — AI agents entered the spotlight. Although still in its early stages, the potential of these systems continues to be recognized. That being said, AI agents can be difficult to master initially. In this article, we will clearly define them, how agents differ from regular "bots" or "workflows", and then outline their synergy with the Block chain. What exactly are AI agents? AI agents are dynamic software systems designed to handle tasks with minimal human supervision. They use advanced AI tools to process data inputs (such as text, images, or block chain records) to achieve specific goals. Unlike simpler bots that follow rigorous, rules-based automation, AI agents bring intelligence, adaptability, and autonomy to their tasks. Agents are often confused with bots, which are simply automated tools that perform functions according to predefined arguments. For example, when certain conditions are met, a bot might send an alert, place an order, or collect data in accordance with a script, essentially executing through an "A action triggers B action" workflow. While efficient in repetitive tasks, robots perform strictly according to the rules set by their creators and lack the ability to adapt or learn. Agents, on the other hand, leverage advanced technologies such as large language models (LLM) to understand context, learn from interactions, and adapt to unforeseen situations. This autonomy allows them to optimize their methods in real time to better achieve their goals, even in a changing environment. By combining automation with intelligence, agents can handle complex tasks that require situational awareness and intent, providing capabilities far beyond the limitations of traditional robots. Over time, this flexibility can allow them to act as personal assistants, financial managers, or autonomous problem solvers across a variety of applications. How do AI agents fit into the encryption space? While this cycle has been touted as the AI X Cryption cycle for some time, AI agents in particular have become very popular in our industry. The 2024 cycle will be marked by the convergence of artificial intelligence and encryption. Decentralization AI may democratize technology, while speculative tokens will flood the market. While their initial use cases may seem simple, or prompt GOAT or other "chatbots," the synergy between these technologies proves to be more fundamental. First of all, since many proxies provide services, they also need to pay, and they cannot use the TradFi infrastructure to receive payments. For example, opening a bank account or signing a contract usually requires meeting a banker or notary. Since AI agents aren't actually people, they don't have passports or any necessary banking documents — making it difficult for them to interact with TradFi and collect or pay. However, Encryption solves this problem. At Blockon-chain, it doesn't matter if the participants are people or software, which means that agents can own digital assets, pay or receive payments for services, or interact directly with smart contracts, solving the restrictions imposed on them by the TradFi system. Moreover, once these contracts are deployed, anyone and anything, including AI agents, can use them. This arrangement contrasts with TradFi, where every new entity must apply for and be approved, while at Blockon-chain, users — whether humans or artificial intelligence — have access to all smart contracts executed by Blockon-chain. In addition, since many Block chains open the Open Source protocol, AI agents could potentially have a broader toolset to integrate, providing them with a broader toolbox to complete tasks on on-chain (or even off-chain), enhancing their autonomy and extending their potential impact. Moving beyond the economic track required to enable agents, Block Chain plays a key role in solving the "black box" AI problem. With artificial general intelligence (AGI) becoming a matter of time rather than if, many fear that AI in its current opaque state could create serious imbalances and lead to unintended consequences that pose a significant threat to society. However, by performing on the Decentralization network, the operation of the AI is transparent and difficult to monopolize, providing checks against abuse or single points of failure. Therefore, encryption can serve as a guarantee against such behavior, making the operation of artificial intelligence and artificial intelligence agents verifiable in on-chain. In short, AI agents have changed the way we think about software and automation by introducing intelligence, adaptability, and independence – extending the suite of possibilities to predefined workflows that go far beyond simple robots. While proxies can execute in a dynamic environment, whether it involves planning, trading, or interacting with real-world applications, by leveraging the Block chain, these agents can overcome the limitations imposed on them by TradFi, greatly increasing their potential to provide services and achieve their goals. Combined with the transparency of the Decentralization network, this convergence of AI and encryption promises to usher in an era in which agents can confidently navigate financial services and keep their processes verifiable on the on-chain. As the capabilities of AI agents and the Block chain ecosystem continue to evolve, their synergy will reshape the way we approach on-chain and off-chain tasks at scale, ushering in a future marked by higher intelligence and higher achievement. Related reports $TRUMP Blood sucking market, which AI Tokens are worth paying attention to if they do not fall? OpenAI, SoftBank, and Oracle launch the largest AI infrastructure plan in history, "Stargate Project": Invest $500 billion to set up a data center in the United States OpenAI's strongest model o3 "exposed cheating" suspected of using privileges to get test answers in advance, mathematical ability fraud? This article "Bankless: How encryption technology is a superfuel for AI agents" was first published in BlockTempo's "Dynamic Trends - The Most Influential Block Chain News Media".