Ruby Protocol — Why Intent-Centricity Needs AI
At Ruby Protocol, we believe the next-gen application must be easy, cross-chain, and intent-centric. While intent-centricity might be a cool phrase, it is by no means an easy task.
When we say something is intent-centric, we mean a new approach focusing on what users want to achieve rather than the convoluted explanation and steps. In traditional crypto, users need to know the specific steps to execute a transaction, like specifying every trade on a swap. Intent-centric flips this by letting users express their goals (like “buy X amount of ETH”) and leaving the technical details to be handled by others or the software.
Here are some examples of intent-centric applications in crypto and web3:
- Trading — Instead of specifying every trade or entering every parameter and risking typos or miscalculations, users could say or type, “Buy $100 worth of ETH with the lowest fees.” The system would then find the most efficient trade route. (e.g., CowSwap, UniswapX)
- Asset Management: Users could express goals like “grow my portfolio by 10% this year,” and the system would automatically make trades based on that strategy.
- DeFi Interactions — Complex DeFi interactions could be simplified by just stating the desired outcome, like “borrow $1000 against my ETH holdings and set the interest rate at X”
In other words, we must build the ChatGPT/Claude/Gemini of crypto.
Crypto Intent-Centricity Needs AI!
We Fear It First
Why do we always fear the new and powerful tool at first glance?
From the evolutionary standpoint, the unknown equals potential danger that may kill you or harm your tribe. Our primal brains are wired for survival. Anything new and unfamiliar could be a threat. Fear prompts us to be cautious and assess the situation before diving in. Throughout history, encountering something new could mean encountering a predator or a poisonous plant. Fear helped our ancestors avoid harm and survive long enough to reproduce. And this instinct has yet to be eradicated by modern times, even with massive technological and social advancement.
Popular cultures and Hollywood portrayals understand how our brains are wired and are best at monetizing that fear. They instill in us the image that AI will become super intelligent and decide humanity is a threat or obstacle. However, AI is a tool, and like any tool, it depends on the goals we program it with. We wouldn’t program a lawnmower to mow down people, and we wouldn’t program a superintelligence to destroy humanity (hopefully!). Our focus should be on aligning AI goals with human well-being.
Then We Understand It
Imagine a complex recipe with many ingredients and steps. You follow the recipe (code) and bake a cake (perform a task). However, the cake might be flawed (desired outcome). You taste the cake and adjust the recipe slightly for the next time (optimize the model). By repeating this baking process, tasting, and adjusting, you eventually perfect the cake (achieve high accuracy).
The same goes for AI. The code defines the network structure (ingredients and steps). The data you feed the network acts like the initial baking attempt. By analyzing the output (cake quality) and adjusting the network parameters (recipe tweaks) through a process called backpropagation, the AI learns to optimize its performance and achieve the desired outcome (perfectly baked cake).
Then we start utilizing AI for all kinds of positive impact:
- Climate Change Solutions: AI is being used to analyze vast datasets on climate patterns and predict weather events with more accuracy. This can help us develop better strategies to mitigate climate change.
- Personalized Learning: AI-powered tutoring systems can personalize students’ learning experiences, catering to their individual strengths and weaknesses, leading to a more effective education system.
- Disaster Relief Efforts: AI can analyze satellite imagery and social media data to identify areas affected by natural disasters, helping to expedite emergency response and resource allocation.
- Agriculture: AI helps optimize crop yields and monitor for disease, leading to a more sustainable food supply.
- Financial Inclusion: AI-powered tools can assess creditworthiness without traditional banking data, providing financial services to those who might have been excluded previously.
We Should Embrace It Now
If it works in many fields, why not in crypto and Web3? Crypto’s interplay with AI is no longer potential. It is inevitable if we want to push it to the next level.
Intent-centric setups include technical complications that AI can effectively address. AI’s capabilities include reading natural language intent, deconstructing goals, and determining optimal transaction routes.
The potential integration of advanced AI could positively impact the intent-centric approach. Intent-centric setups involve various technicalities, and AI has the potential to help obscure these complexities. Whether it’s through interpreting natural language inputs of intent, breaking down goals, or strategizing the optimal route to execute transactions, AI stands as a powerful tool.
On the other hand, in scenarios where user intent is complex or inaccurately expressed, solvers may need help comprehending and devising optimal solutions. By analyzing the user’s transaction request and data, AI can assist in bridging this gap.
However, incorporating AI into the process from intent to execution will likely involve multiple parties, bringing about security challenges. Providers of intent-centric protocols must establish deterrents and penalties for malicious behavior to maintain a secure third-party execution layer. Additionally, enhancing technical security to prevent vulnerabilities will be crucial to safeguarding user rights. The combination of AI with intent-centric protocols are undoubtedly promising but remain an open research area.
About Us
Ruby Protocol is an Intent-Centric Account & Access Layer for Web3.
We are building an intent-centric, interoperable, and privacy-preserving infrastructure for Web3 future. Our services, including Account Abstraction (AA), Assets Bridge (AB), Access Control (AC) and much more, are designed to accelerate Web3 development and its mass adoption.
We aim to make Web3 seamless and effortless to everyone everywhere.
