Vitalik Updates CROPS AI Progress: Proposes Combining Private Remote LLM Calls with Ethereum Private RPC Reads

Vitalik Buterin updated several developments related to CROPS AI and noted a clear overlap between the “CROPS Ethereum Access Layer” and “CROPS AI.” He suggested that paying for remote large language model (LLM) calls via zero-knowledge proofs could also address Ethereum’s private RPC read issues. Meanwhile, DeepSeek v4 has been released; its 2-bit quantized version runs within 90 GB, though it currently performs faster on Apple hardware; the messaging app Messa now supports Telegram Alpha features; the model runtime tool Luceb demonstrates higher efficiency when running compute-intensive models; and the local AI voice recording tool VoxTerm remains under active development. Vitalik Buterin also mentioned that application-specific fine-tuned large language models will help improve secure code writing, and Ethereum-related use cases should likewise have dedicated fine-tuned models.