Web3 AI is becoming a niche market, with Web3 companies flocking to AI due to its amazing benefits such as data analytics and automation, improved user experience, and security.
1. Data analysis and automation
Web3 companies generate and store vast amounts of data on blockchain networks. AI is essential for extracting data insights, helping these enterprises monitor network performance and make data-driven decisions. Web3 AI integration creates powerful analytics that can detect risks and anomalies in real time, strengthening the integrity of the Web3 platform.
Web3 AI streamlines complex processes. AI-driven automation and smart contracts can process transactions and verify user identities autonomously, increasing efficiency and reducing the need for intermediaries. This reduces operational costs and saves time.
2. Improved user experience
Web3 AI features a decentralized blockchain-based platform. This niche allows for a better, more user-centric experience. Web3 AI companies can provide more efficient and personalized services. AI-driven algorithms can tailor interactions, content, and recommendations to increase user engagement and satisfaction with Web3 applications.
3. Security
Security is a major concern with Web3, as distributed systems require strong protection. Web3 AI strengthens cybersecurity by identifying and mitigating risks, but this process is not straightforward. Web3 AI company Aizel Network recently joined Peak to help alleviate this problem and improve security.
Aizel leverages a variety of technologies to build DePIN to run secure, private, and verifiable machine learning models, providing insight into what's going on inside various AI-powered apps and services. It's giving people more insight. In the long term, Web3 AI integration could pave the way for greater use of AI in critical industries that require maximum transparency and verifiability in their models.
Risks of AI growth
As the AI industry continues to garner public attention, some of its major flaws are raising uncertainty about how long the boom will last. Security researchers are already exploring various ways to tamper with the model and its output, and are working on real-world scenarios such as self-driving cars causing accidents or institutional-level trading bots crashing entire economies. can lead to dramatic results.
Aizel is building DePIN to make Web3 AI calculations trustless and verifiable. Combined with a set of cryptographically protected metadata, any inference (the processing of specific inputs by a trained model) becomes more transparent. Metadata can include the specific model used to generate the output and other variables such as the amount of power consumed in the process.
Safer and more transparent Web3 AI apps
Aizel leverages multiparty computation and a trusted execution environment (secure CPU and memory space) to protect output from tampering. As a result, users always know which model produced the output for a desired query, making Web3 AI more secure and transparent without the scaling constraints associated with using zero-knowledge computation in trustless Web3 AI. The application is realized.
Aizel leverages DePIN's home base as a Layer 1 backbone and leverages the peaq SDK to make the network compatible with Peak. As part of the integration, we will deploy smart contracts to Peak that power core logic, such as Web3 AI models and user input uploads. Finally, we will set up a cross-chain module to further connect the network with peaq and issue a percentage of the token supply natively at DePIN's home base.
Jeremy, co-founder of Aizel Network, commented:
Most of today's AI runs as a closed black box, providing little or no insight into which model the user is actually interacting with. Aizel makes verifiable AI available to everyone. And Peak's strong foundation, modular DePIN capabilities, and vibrant DePIN ecosystem make it the perfect base to make that happen.
Till Wendler, co-founder of Peak, added:
To realize the full potential of AI and unlock new use cases, AI must be transparent and verifiable. Web3 AI company Aizel is leveraging the Web3 stack to make that happen, and we're excited to leverage Peak as a Layer 1 backbone for this important mission.
The future of Web3 AI
Based on the S-shaped trajectory, also known as the S-curve theory, we employ cutting-edge technologies such as AI and Web3. Growth is slow at first. It becomes very fast in intermediate stages and slows down again when it reaches maturity or saturation.
While AI is in early maturity, Web3 is still in the early stages of its S-curve. It is gaining momentum thanks to partial integration with AI and the promise of a trustless ecosystem and decentralized internet. However, it still faces challenges regarding infrastructure development and regulation. Initially, adoption of technologies that follow the S-curve will be limited, but eventually they will become mainstream.
