From Stablecoins To Autonomous AI: Exploring Key Trends Shaping The Future Of Web3 And Crypto At Hack Seasons Opportunity Mixer
At the forefront of blockchain innovation, the most recent Hack Seasons Opportunity Mixer held in Seoul introduced collectively outstanding figures from the AI and blockchain sectors to discover the evolving intersection of those two transformative applied sciences. Moderated by Amos Zhang, OG at Near Foundation, the panel “When AI Rewires Web3, Who Wins?” included audio system from Cronos, Kgen, Aethir, and Aleph Cloud.
The dialog started by addressing the quick rise of AI lately and the panelists’ views on the intersection of AI with blockchain and the broader cryptocurrency house. They additionally mentioned the challenges that must be addressed.
One of the panelists identified that the mix of blockchain and AI is a pure one, explaining that AI works with knowledge, and blockchains are inherently open, with clear good contracts and knowledge—making it an ideal surroundings for AI to be taught and self-train. However, the problem lies within the many grand visions for AI brokers which can be alleged to robotically develop the wealth of customers whereas they give attention to different duties. Despite this, concrete examples of how AI can successfully handle wealth have been scarce. The key problem, due to this fact, is to create incremental, actionable use instances the place AI can achieve public belief. Many individuals stay hesitant to entrust their cash to AI, particularly with the present high fee of AI “hallucinations” or inaccuracies.
Other audio system supported this view, highlighting the crucial position blockchain can play in constructing verification programs—not only for AI brokers but in addition for people concerned in coaching these fashions or brokers. Each AI agent requires human analysis to make sure that they’re progressing in the best course. Additionally, AI brokers require an unlimited community of builders to make sure correct performance.
The panel additionally mentioned three layers at which blockchain and Web3 allow AI. The first layer is the verification layer, which ensures the output generated by AI brokers is reliable. Key elements inside this layer embrace assessing whether or not the output is AI-generated, figuring out which mannequin was used, and verifying that the fashions themselves have been educated correctly. Zero-knowledge applied sciences (ZK) have made important progress on this space, and ZK-verification is anticipated to grow to be a normal sooner or later, together with in regulatory frameworks.
The second layer focuses on the financial features of blockchain. Web3 and cryptocurrency introduce financial dynamism to AI, enabling AI brokers to course of funds, for instance. The third layer addresses infrastructure—AI can’t be reliant on a couple of giant firms that management GPUs, as these firms basically management AI growth on account of their monopoly on GPU sources. Cryptocurrency allows a extra distributed strategy to infrastructure by spreading the availability of GPUs internationally, thus fostering innovation.
A recurring theme all through the dialogue was the significance of Web3 in safeguarding the way forward for AI. As AI turns into built-in into on a regular basis units, there are rising issues about privateness. If AI has entry to all knowledge and that knowledge will not be safe, it may pose important dangers to people’ privateness. With centralized firms controlling a lot of the information and influencing individuals’s day-to-day choices, Web3 gives an answer by enabling decentralized, personal AI. In a Web3 framework, AI can run in absolutely confidential cases, with verifiable fashions that guarantee transparency. Users can deploy their very own AI with out counting on centralized suppliers, making certain larger privateness and autonomy.
Furthermore, the panelists mentioned the highway to Artificial General Intelligence (AGI) and the position of Web3 in that journey. Currently, centralized firms management the event of AGI by amassing knowledge facilities and coaching fashions, both by open-source or proprietary approaches. However, reaching AGI requires a very autonomous system. In a decentralized surroundings, Web3 can facilitate this by enabling AI brokers to handle their very own computing sources, prepare their very own fashions, and performance independently—with out the necessity for bank cards or centralized management. This autonomy may pave the way in which for AGI and even Artificial Superintelligence (ASI), with the additional benefit of being open-source and decentralized. This, based on the panelists, is a crucial space for future growth and exploration.
Key Trends Shaping The Future Of Crypto And AI
Further insights had been shared relating to the largest tendencies anticipated within the subsequent 12 months on the intersection of cryptocurrency and AI. The audio system mentioned the macro-level alternative, noting that giant firms are more and more seeking to enter the cryptocurrency house by launching their very own stablecoins as a technique to generate further income. These firms are additionally looking for dependable on-ramps and off-ramps for stablecoin transactions. The chance of a world with a whole bunch of stablecoins was raised, suggesting that this might resemble the present use of bank cards, with individuals holding a number of stablecoins for varied functions.
The query was posed as to how these a whole bunch of stablecoins might be aggregated—would it not be AI or different builders taking over this problem? This presents a big alternative, as conventional firms enter the blockchain house by way of stablecoins, creating the potential to construct extra accessible and environment friendly infrastructure. This may result in the event of a seamless ecosystem for commerce, the place AI brokers play an integral position.
Another prediction highlighted by the audio system targeted on the rising development of VeriFI, which builds upon the concept that the market will quickly be flooded with AI brokers. In the approaching months, it could grow to be tough to distinguish between merchandise generated by people and people created by AI brokers, or to discern whether or not actions are carried out by AI brokers or actual customers. To handle this, there will likely be a rising want for a verification layer that distinguishes AI-driven actions from human actions, whereas additionally making certain transparency across the underlying fashions and applied sciences used.
The audio system additionally agreed with the sooner level about stablecoins and launched one other evolving development: prediction markets. This use case is anticipated to onboard a whole bunch of thousands and thousands of customers quickly. In the long run, Real-World Asset (RWA) tokenization is seen as a basic transformation in finance. Another development mentioned was the continued development of Decentralized Physical Infrastructure Networks (DePIN).
In the AI house, audio system famous that there could be a larger give attention to open-source fashions, as enterprises have gotten more and more severe about their AI methods.
The dialog then turned to the evolution of Decentralized Autonomous Organizations (DAOs), that are anticipated to alter how governance is approached. One rising idea mentioned was absolutely autonomous agent organizations, the place the DAO itself capabilities as an agent—managing funds and executing actions independently. In this mannequin, customers would have the chance to personal shares within the DAO. Additionally, person interfaces (UI) are anticipated to bear important transformations, with AI enjoying an important position on this shift.
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