BTC $79,340.75 -0.63%
ETH $2,497.23 +0.14%
BNB $744.97 -0.90%
XRP $1.40 -0.84%
SOL $105.10 -1.36%
TRX $0.3353 +0.11%
DOGE $0.0908 +1.40%
ADA $0.2219 +1.38%
BCH $260.43 +0.74%
LINK $13.18 +7.35%
HYPE $87.82 -1.48%
AAVE $133.15 -1.52%
SUI $0.8291 +4.03%
XLM $0.1923 +3.41%
ZEC $1,181.64 -0.34%
BTC $79,340.75 -0.63%
ETH $2,497.23 +0.14%
BNB $744.97 -0.90%
XRP $1.40 -0.84%
SOL $105.10 -1.36%
TRX $0.3353 +0.11%
DOGE $0.0908 +1.40%
ADA $0.2219 +1.38%
BCH $260.43 +0.74%
LINK $13.18 +7.35%
HYPE $87.82 -1.48%
AAVE $133.15 -1.52%
SUI $0.8291 +4.03%
XLM $0.1923 +3.41%
ZEC $1,181.64 -0.34%

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

2026-05-28 08:21:22

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.