
CrunchDAO is a new decentralised blockchain technology designed to improve collective intelligence in the blockchain space, allowing over 10,000 machine learning engineers to train AI models and perform tasks based on their different learning models.
Artificial Intelligence is gaining significant attention since its emergence, as experts, scientists, and engineers explore different ways to build reliable real-world assets across industries, with the blockchain industry not exempted.
Gaining the backing of many institutions, investors, and educational platforms such as the Broad Institute of MIT and Harvard, the project aims to enable engineers to solve complex machine learning tasks, allowing many engineers to access machine learning models.
Through innovative ideas and contributions to the blockchain space, contributors are rewarded with incentives for their remarkable solutions.
CrunchDAO has raised over $8.5 million in funding and is heavily backed by @galaxyhq, @vaneck_us, @RoadCapMgmt, and @multicoincap alongside other private capitalist ventures and angel investors.
On its official X account, Crunch’s team announced different opportunities available for contributors. Its announcement included roles such as anyone can now run a Coordinator node and tap into 10,000+ ML builders built on Solana, due to its fast on-chain, verifiable scoring capabilities, enabling near-instant payouts.
Additionally, engineers and contributors can do the following:
Here is how to join and contribute
Traditional predictive modeling has suffered from many limitations, such as limited resources and limited exposure. CrunchDAO achieves the following in terms of building reliable data models helping engineers to have lower entry barriers allowing anyone skilled to compete, regardless of geography or institutional backing, unlocking diversity, open a network of independent approaches outperforms centralised teams stuck in single modes of thinking, ensuring security, guarantee models remain private, verifiable, and fully owned by their creators, delivering results, and deployed in real-world environments.
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