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Vitalik updates on CROPS AI progress: proposes combining private remote LLM calls with Ethereum private RPC reads
Deep Tide TechFlow news: On May 28, Vitalik Buterin updated multiple CROPS AI-related developments and pointed out that there is a clear overlap between “CROPS Ethereum Access Layer” and “CROPS AI.” He said that if paid calls to remote large language models can be enabled via zero-knowledge proofs, it can also be used to address Ethereum private RPC read issues.
Meanwhile, Deepseek v4 has been released. The 2-bit quantized version can run within 90 GB, but it currently runs faster on Apple hardware. The messaging app messa has added support for Telegram Alpha features. The model-running tool luceb shows higher efficiency when running compute-intensive models. The local AI recording tool VoxTerm is still under continuous development. Vitalik Buterin also noted that large language models fine-tuned for specific applications will help improve the ability to write secure code, and Ethereum-related scenarios should also have corresponding fine-tuned models.