1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...
A recent study by MIT’s Project NANDA highlighted a sobering statistic: Roughly 95% of AI projects fail to deliver ...
Rolland is the CEO and co-founder of UXLINK, a Web3 infrastructure project focused on solving the mass adoption challenge through real social graphs and relationship-based user acquisition. Under his ...
Cryptopolitan on MSN
Layer 2 adoption 2026 predictions: What will shape the next wave of Ethereum scaling
Explore the top predictions for Layer 2 adoption in 2026. Learn how rollups, data availability, AI agents, and modular ...
“By repurposing existing cabling, CONET offers businesses a cost-effective and minimal disruption option, rather than ...
AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.
Ask five mortgage professionals to define “MISMO,” and you’re likely to hear five different answers …Data format.Investor ...
Some Layer 2 networks saw their metrics crater after token distributions. Ronin (RON) experienced a 70% drop in active addresses post-airdrop. zkSync saw a 90% drop in transactions and nearly 80% ...
Cloud-AI convergence is the operating system that will define how communications service providers compete and deliver value ...
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