The power of distributed computing in browsers.
Wool Ball is a client-as-server network.
We enable browsers to process tasks that would normally require dedicated servers.
Thus, the user is rewarded for shared resources, and the price paid for processing drops DRASTICALLY.
Blockchain?
Wool Ball resembles blockchain by using a distributed network of participants to process tasks, ensuring decentralization and collaborative efficiency. Just like in blockchain, each participant plays an active role, creating a robust infrastructure resistant to centralized failures.
The main difference is that Wool Ball does not involve immutable data recording or global consensus, as happens in blockchain. Instead, it focuses on executing AI models and data processing in browsers, prioritizing scalability and low cost, while blockchain is geared towards secure transactions and permanent records.
Serverless Computing?
Wool Ball resembles serverless computing by allowing developers to execute tasks without the need to manage servers directly. Just like in serverless, the infrastructure is abstracted, providing automatic scalability and billing based on actual resource usage.
The main difference is that Wool Ball uses browsers as infrastructure for distributed processing, while serverless relies on cloud providers and dedicated data centers. This makes Wool Ball a more accessible and decentralized solution, ideal for AI tasks and light processing, while serverless is more suitable for intensive workloads and native integrations with cloud services.
Collaborative Economy?
Wool Ball resembles companies like Uber, Loggi, and Airbnb by utilizing idle resources of individuals, creating a distributed network where participants offer something they already possess to serve others.
The main difference is that while Uber, Loggi, and Airbnb deal with physical resources like vehicles or properties, Wool Ball leverages browsers to perform computational processing.
The market tends to sell the idea that more parameters and more computational capacity are needed to generate value with artificial intelligence.
Contrary to this trend, experts show that lightweight and specialized models are extremely effective for most use cases.
And, most importantly, they can be executed for free in the browser.
Our approach combines efficiency and accessibility, allowing artificial intelligence solutions to run directly in the browser.
We have already made the following resources available via API:
- Text-to-Speech: Voice generation from text.
- Speech-to-Text: Conversion of audio to text.
- Text Generation: Text generation.
- Translation: Text translation with AI. (Codes)
- Zero-Shot Classification: Text classification.
- Facial Emotion: Identifies emotions in a facial image.
- Image-Text to Image: Reasons about an image and text.
- Image Classification: Classifies the content of images.
- Zero Shot Image Classification: Flexible image classification without predefined categories.
- Summarization: Creates concise summaries of longer texts.
- Character to Image: Creates an image from a single character or emoji.
We understand that load distribution through browsers has enormous and certainly unexplored potential.
Video Operations: Today, FFmpeg is the most consolidated multimedia processing software in the world. However, with the emerging capabilities of modern technologies, we are able to perform the main operations directly in the browser.
Browser as a Private Service: In addition to the global network, companies may need closed networks, distributing the load only among the company's workstations.
Credits: While we are not generating revenue, the values generated by processing in the browser can be converted into credits on the platform.
Open-source text generation models are typically focused on the English language, capable of interpreting prompts in other languages but often responding in English.
Compatibility: Browser-based processing has been tested on a limited number of devices and browsers.
Privacy: Data is not encrypted, but mechanisms may be implemented in the future.