y0news
AnalyticsDigestsSourcesTopicsRSSAICrypto

#midas News & Analysis

4 articles tagged with #midas. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

4 articles
DeFiBullishCrypto Briefing · Jun 77/10
💎

Midas powers Ether.fi’s second Liquid RWA vault in partnership with Plume Network

Ether.fi has launched its second Liquid RWA (Real-World Asset) vault in partnership with Midas and Plume Network, expanding tokenized traditional asset offerings to blockchain investors. The vault diversifies portfolio options by bridging traditional finance and crypto markets, though it introduces distinct market risks associated with RWA exposure.

Midas powers Ether.fi’s second Liquid RWA vault in partnership with Plume Network
$ETH
DeFiBullishCrypto Briefing · Jun 236/10
💎

Midas launches mGLOBAL token on Aave Horizon for USDC borrowing

Midas has launched its mGLOBAL token on Aave Horizon, enabling users to borrow USDC against their holdings. This integration aims to attract institutional investors by improving liquidity and capital efficiency within the DeFi ecosystem.

Midas launches mGLOBAL token on Aave Horizon for USDC borrowing
$AAVE
DeFiBullishThe Block · Jun 236/10
💎

Midas’ mGLOBAL token tracking Fasanara’s alternative debt strategy launches on Aave Horizon

Midas' mGLOBAL token, which tracks Fasanara Capital's alternative debt strategy, has launched on Aave Horizon, enabling token holders to deposit mGLOBAL as collateral to borrow USDC while maintaining full exposure to the underlying strategy. This integration expands DeFi composability by allowing investors to access liquidity against tokenized alternative assets.

Midas’ mGLOBAL token tracking Fasanara’s alternative debt strategy launches on Aave Horizon
$AAVE
AIBearisharXiv – CS AI · Mar 37/108
🧠

MIDAS: Multi-Image Dispersion and Semantic Reconstruction for Jailbreaking MLLMs

Researchers have developed MIDAS, a new jailbreaking framework that successfully bypasses safety mechanisms in Multimodal Large Language Models by dispersing harmful content across multiple images. The technique achieved an 81.46% average attack success rate against four closed-source MLLMs by extending reasoning chains and reducing security attention.

$LINK