The moment Ethereum switches from PoW to PoS, there is a real chance the market will react similarly to the reaction at the end of the DotCom boom. Many mining businesses will be hit hard, and the end result will be a lot of GPU cards on sale. We are proposing to unite all this freed processing power under the Kaasy network, offering a Decentralized Infrastructure As A Service solution for many use cases. The Kaasy network will not simply run the GPUs to continuously execute hashing functions, but offer a set of SDKs with which developers can expand their applications to optimize processing times via parallelization and computing load balancing. The blockchain keeping the Kaasy ledger will store both payments for rented processing time and algorithms optimized to run distributed calculations. The algorithms are organized as a distributed marketplace, where anyone can add a new algorithm and earn rewards when someone else makes use of it – the rewards are stored in the same blockchain. The goal of the kaasy.ai team is to develop a knowledge blockchain, where existing and new algorithms can be used to power machine learning, thus producing AI skills usable by the entire community, from their terminal of choice. The open-source blockchain code can be forked to create private knowledge blockchains, for tasks which may involve privacy concerns and other data restrictions. Use cases for the skills we envision include video processing, machine learning, molecular simulation, AI conversation partners, employee-as-a-service solutions, augmented and virtual reality solutions and real-time robotic fleet management. Skill rewards for complex skills are issued as a tree, where each complex skill payment is split between itself and the integrated simpler skills.
Today, thousands of computer systems are being used for mining cryptocurrencies, but neither the GPUs nor the other components of the rigs were built specifically for that purpose. Because of this, many of the resources available of those systems are left underutilized. Imagine an existing GPU-mining rig simultaneously mining cryptocurrencies and also doing other processing tasks like machine learning and offering co-processing power - while being rewarded for both activities – making the RIGs even more profitable. This machine learning will produce “machine skills” to be used in Artificial Intelligence processes. Who ever adds the code for the machine learning into the blockchain gains Skill Rewards when the new machine skills are used on a new dataset. This process runs on a Distributed Infrastructure As A Service architecture, splitting the workload between multiple mining rigs, while optimizing for shortest run time on minimal data traffic. This entire system is called Knowledge As A Service, and represents the backbone of KAASY, the decentralized AI assistant that you can employ to do tasks for you.
KaaS blockchain and SDK + MiningOS
Version 1 of the Knowledge as a Service blockchain - Ability to add skills via TEXT - Upon task completion, results are returned as TEXT - KaaS blockchain SDK in multiple programming languages - Dedicated MiningOS for constant nodes (also available as VM image to download), and dedicated mining software for multi-purpose machines (i.e. home PCs) - Cloud processing power - rent the CPU & GPU cores of the network, provide rewards in KaaS currency
Audio-Video interfacing with the KaaS Blockchain
Add skills via Audio and/or Video, thus enabling imitation learning & augmented reality applications - When tasks as completed, the results can be rendered as Audio and/or Video, alongside text - Cloud audio-video processing power, integrated in popular editing software
Natural language interaction between people and software agents - Includes automatic translation features, plus local colloquialisms wherever available - Applications in medicine (especially elderly patients) and early childhood education
Anonymous data analytics and diagnostics
Knowledge as a Service via Skills Blockchain – v6 - Applications in medicine, legal, education, web, marketing - Earn rewards when new skills are created based on conclusions extracted from your privately owned, anonymized data
Employee as a Service
Combining the technologies developed throughout the above milestones, software will be able to successfully free many people from desk and/or phone jobs, allowing them to get more fulfilling jobs. Applications in legal, IT&C, marketing, sales, support. - Teacher As A Service will allow the displaced low-skilled employees to learn new, higher level skills, and get better jobs than the ones they quit
RoboticsOS & SDK
Using robotic end-effectors, allow Employee as a Service agents to interact with the real world, and assist human agents in their tasks. Applications in mining, transport, agriculture, raw ore and materials processing, industry, medicine.