{"type": "project", "title": "Unstoppable Models", "logoImg": "bafkreiawmq7sc5lrl3hehe5hougmnumukvyuzs2ivvhri6serp7eggpzzu", "website": "https://unstoppable-models.streamlit.app", "bannerImg": "bafkreih7guqfoqey4dzbpg7ooe7y5rdq4wwl2s6l3pveqxwkr4of7tdobm", "createdAt": 1718474756467, "userGithub": "AlcibiadesCleinias", "credentials": {}, "description": "TL;DR\nWe aim to create a public ML model training initiative (as a public good) where anyone can freely submit the next weight update for the model according to a fixed algorithm on a fixed dataset.\n\n# Description\nWe aim to create a public ML model training initiative (as a public good) where anyone can freely submit the next weight update for the model according to a fixed algorithm on a fixed dataset.\n\nWe believe that large AI model training will be regularized as much as the traditional finance domain and we would like to provide a solution to overcome it.\u00a0Unstoppable code represents a paradigm shift in how we think about software and applications: some ideas in our world will be implemented, and launched, and will not have a single point to shut it down. There are already exists unstoppable things like crypto-mixers with all pros and cons.  \n  \nWe expect there are a lot of people around the world who would like to share for free(or not) part of their computing for some time on public good. We allow them to fund our protocol with computing power (stake on capacity). We also know how we can incentivize capacity stacking: by implementing additional delegator roles, who instead of stacking compute resources could stack funds on those who stack their capacity\n\nTo make AI-model be built by the community in an unstoppable manner we just need to ensure an infinite progress of model learning and prevent it from degradation.", "logoImgData": {}, "bannerImgData": {}, "projectGithub": "whynft"}
Unstoppable Models
TL;DR
We aim to create a public ML model training initiative (as a public good) where anyone can freely submit the next weight update for the model according to a fixed algorithm on a fixed dataset.

# Description
We aim to create a public ML model training initiative (as a public good) where anyone can freely submit the next weight update for the model according to a fixed algorithm on a fixed dataset.

We believe that large AI model training will be regularized as much as the traditional finance domain and we would like to provide a solution to overcome it. Unstoppable code represents a paradigm shift in how we think about software and applications: some ideas in our world will be implemented, and launched, and will not have a single point to shut it down. There are already exists unstoppable things like crypto-mixers with all pros and cons.  
  
We expect there are a lot of people around the world who would like to share for free(or not) part of their computing for some time on public good. We allow them to fund our protocol with computing power (stake on capacity). We also know how we can incentivize capacity stacking: by implementing additional delegator roles, who instead of stacking compute resources could stack funds on those who stack their capacity

To make AI-model be built by the community in an unstoppable manner we just need to ensure an infinite progress of model learning and prevent it from degradation.
Unstoppable Models