BTC $64,379.73 +0.63%
ETH $1,876.37 +1.01%
BNB $569.32 +0.78%
XRP $1.09 +0.53%
SOL $74.70 +0.84%
TRX $0.3310 +0.09%
DOGE $0.0724 +4.16%
ADA $0.1648 +0.57%
BCH $209.28 -0.54%
LINK $8.39 +0.77%
HYPE $58.42 +1.76%
AAVE $92.19 +1.00%
SUI $0.7126 +0.28%
XLM $0.1768 -1.19%
ZEC $485.90 -0.41%
BTC $64,379.73 +0.63%
ETH $1,876.37 +1.01%
BNB $569.32 +0.78%
XRP $1.09 +0.53%
SOL $74.70 +0.84%
TRX $0.3310 +0.09%
DOGE $0.0724 +4.16%
ADA $0.1648 +0.57%
BCH $209.28 -0.54%
LINK $8.39 +0.77%
HYPE $58.42 +1.76%
AAVE $92.19 +1.00%
SUI $0.7126 +0.28%
XLM $0.1768 -1.19%
ZEC $485.90 -0.41%

Vitalik updates on CROPS AI progress: proposes combining private remote LLM calls with Ethereum private RPC reads

2026-05-28 08:21:22
Collection

Vitalik Buterin updated on several CROPS AI related developments and pointed out that there is a clear intersection between the "CROPS Ethereum access layer" and "CROPS AI." He stated that if remote large language models could be called for payment through zero-knowledge proofs, it could also be used to solve the Ethereum private RPC reading issue.

Meanwhile, Deepseek v4 has been released, and the 2-bit quantization version can run within 90 GB, but currently runs faster on Apple hardware; the messaging app messa has supported Telegram Alpha features; the model running tool luceb has shown higher efficiency when running intensive models; the local AI recording tool VoxTerm is still under continuous development. Vitalik Buterin also mentioned that large language models fine-tuned for specific applications will help improve secure code writing capabilities, and corresponding fine-tuned models should be available for Ethereum-related scenarios.

app_icon
ChainCatcher Building the Web3 world with innovations.