🍀Overview

What is Alaya AI?

Alaya is an open, composable Web3 AI data infrastructure network designed to connect distributed data communities with open and composable AI networks by infusing AI training and automated data processing with blockchain technology and gamification. Designed to unlock open data access for both personal and enterprise AI applications, Alaya AI supports both distributed data crowdsourcing and direct P2P data requests through a unified platform. Our open, composable platform structure provides AI projects with the opportunity to set up unique custom data reward pools to offer their own platform tokens as payment for custom data requests. Alaya AI’s open data platform further revolutionises the Web3 AI economy by tokenising AI models through data revenue distribution with $AGT AI model staking pools. AI model tokenisation allows Web3 communities to support the development of distributed AI technologies by directly funding the development and fine-tuning of AI models through $AGT staking pools and share the revenue generated by each respective AI model.

• Revenue distribution through $AGT staking in Alaya AI’s auto-labelling AI models to incentivise model development and deployment.

• Custom token rewards and tailored data requests provide organic Web3 incentives to satisfy custom data demands of small-medium AI startups.

• Social gaming incentives combine daily task bonuses with additional affiliate commissions for organic data community growth.

Background

AI is supported by three main infrastructures: data, computation, and algorithms, among of which data quality stands out as the most critical determining factor of AI development. Data is the only channel for AI to interact with reality. Human feedback improves AI performance by providing crucial guidance for AI to form accurate models of reality, as machines can only process data meaningfully under human assistance – the fundamental structure of artificial intelligence is always based on human general intelligence. The typical AI model training process involves feeding massive datasets (or training samples) into AI/ML algorithms, this could involve billions of data parameters that are manually provided by data labellers. This is a slow and costly process that is proving to be too inefficient and unscalable for modern AI development. Taking inspiration from swarm intelligence principles, Alaya provides an open, composable and highly customisable AI data sampling and auto-labelling platform meticulously designed to address three major opportunities in the AI data marketplace through native Web3 solutions:

• Data market: current market demand for general and specialised AI training data far outstretches data supply due to increased sophistication and specification of AI model applications (e.g., general medical diagnostics, standardised radiology image interpretation; small languages and dialects, etc.).

• Significant human capital and expertise for casual/freelance data contribution remain underutilised, e.g., free time during work commute or public transit can be incentivised for AI data collection through engaging user experiences.

• The rapid increase in the number of Web3 users and custom AI applications has created a significant demand for Web3-native data platforms as viable alternatives over existing Web2 solutions. This demand is further exacerbated by increasing concerns over data privacy and regulatory risks associated with AI technologies on a global scale.

Alaya AI harnesses the power of human feedback to enhance data quality by unlocking public access to AI data monetisation through a combination of blockchain technology, Web3 gamification and optimised preprocessing algorithms.

Our mission is to make AI data collection and monetisation freely accessible to support the exponential growth in AI data demand across both Web2 and Web3 markets.

Links

Website: https://www.aialaya.io/ Twitter: https://twitter.com/Alaya_AI Telegram: https://t.me/Alaya_AI Medium: https://medium.com/@alaya-ai