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- Edward Kim, the lead developer of the project, shared images of the whitepaper.
- To gain access, a user must first deposit actual LUNC tokens to a designated burn address.
Many individuals are surprised to discover that the Terra Classic chain may soon introduce its inaugural AI-driven application chain. Edward Kim, the lead developer of the project, released images of the whitepaper for the Block Entropy artificial intelligence chain on Saturday.
Updates for the AI app chain known as Block Entropy. Still in development. Here is a preview of the nearly completed white paper. pic.twitter.com/8PneXKqIbl
— Edward Kim (@edk208) April 29, 2023
Although details are currently limited, Kim indicated that the TestNet playground, a simulation tool for users to test and explore, will be made available to the public next month. It will only accommodate a small range of “machine-learning inference tasks” such as AI image diffusion, text language models, and music generation.
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While the complete white paper is expected to be released soon, Kim mentioned that advancements in distributed training mechanisms, Python APIs, SNARK verification methods, and additional fine-tuning modules aimed at enhancing results will not be available initially but will be introduced in later phases.
However, not everyone can simply log in and start utilizing TestNet. To access the TestNet faucet, a user must first deposit actual LUNC tokens to a specific burn address and then submit the transaction hash into the faucet.
The highly anticipated burn faucet, which Kim states will be launched later next month, will be showcased at this event.
By burning a specific amount of LUNC, users will receive a corresponding number of testnet tokens in return. These tokens hold no intrinsic value and are solely intended for machine-learning experiments. Kim also highlights that the essential Interchain Accounts (ICA) module for the development has been completed and is currently undergoing testing on the LUNC L1 TestNet.
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