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This paper surveys over 1,900 AI-tagged crypto projects and conducts a deep-dive analysis of DeFi investment agents, finding that current deployments are early, with token holders losing $191.7M while treasuries retain paper gains, and token valuations weakly connected to fundamentals.
This paper presents the first large-scale empirical analysis of 118 transformer models, revealing critical performance walls where success rates drop from 88.1% at 512 tokens to 0% at 2048 tokens, challenging prevailing scaling assumptions.