zKML
Crypto Overview
Overview
zKML is a privacy-focused machine learning cryptocurrency project that combines zero-knowledge proofs with decentralized machine learning infrastructure. The project aims to enable private and secure machine learning model training and inference on blockchain.
Purpose and Utility
The primary purpose of ZKML is to serve as a utility token for accessing and operating the zKML network's machine learning capabilities. Token holders can use ZKML to pay for computation resources, submit training data, and participate in the network's governance.
Development Status
The project is currently in active development with regular GitHub commits and protocol improvements. The team consists of experienced developers and machine learning researchers who have previously worked at major tech companies.
Token Distribution
Initial token distribution allocates 40% to the community treasury, 30% to the founding team and advisors (with 4-year vesting), 20% to early investors (with 2-year vesting), and 10% for public sale. This distribution structure shows reasonable alignment with long-term project success.
Current Usage
While still in early stages, the network has seen growing adoption among AI researchers and companies looking to train models privately. Several partnerships with AI firms have been announced, though usage metrics are still limited as the mainnet launched recently.
Revenue Model
The project generates revenue through network fees paid in ZKML tokens for computation and model training. This represents a legitimate business model without reliance on interest or gambling mechanics.
Crypto Impact
To assign a comfort level investing in zKML from a halal perspective we need to determine whether it has a net positive or negative impact.
Towards this end, the table below is used to tally all the positive and negative considerations our members can think of related to zKML.
If you don’t see something that should be listed, positive or negative, feel free to submit your own contribution using the button “Contribute”.
We will review your contribution for accuracy before publication.
Importantly, you can review listed contributions and vote on which one you think has the greatest impact, positive or negative.
You only have one vote per asset so use it wisely.
You can change your vote if you change your mind.