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+# AI Blockchain Track PROPOSAL
+
+- Authors: {Balázs Toldi, Bertalan Péter}
+- Status: {Draft}
+- Created: {2023-12-05}
+
+## Summary
+
+AI and LLM are proliferating and there are more and more advanced models with shocking capabilities.
+We would like everbody to be able to use these models, but not everybody has the hardware.
+Could we integrate AI with our existing blockchain ecosystems to possibly open up AI for more users?
+
+
+## Motivation
+
+Some models take an immense amount of resources to train.
+However, _running_ the models also costs significant computational resources.
+For example, even on a beefier machine with 8 GB of VRAM, LLaMa and Stable Diffusion seem to run at 1 token/sec for even the smallest model versions available.
+
+What if we had an AIaaS (AI as a Service) system in a distributed, blockchain-based manner?
+
+Users submit their prompts and the type of model they would like to run them on with some tokens as a reward and people with access to strong hardware can execute the models for them to win the reward.
+The problem is of course, how does one know that the results they got from somebody else are indeed the results of running the models?
+Also, when this communication takes place on the blockchain, both the prompt and the output will be public.
+
+
+## Specification
+
+We propose using Zero Knowledge Proofs to show that  ???
+
+1. Users submit requests to the network (eg, a smart contract) regarding what prompt they would like to give to what model and what is the reward.
+1. Other users with strong hardware can fulfill these requests.
+   But instead of sending transactions with