When Hallucination Costs Millions: Benchmarking AI Agents in High-Stakes Adversarial Financial Markets
How much verified proof exists for this claim
One strong evidence source: arxiv
How intriguing or unexplained this claim is
The claim involves an active investigation into AI's performance in adversarial financial markets, with multiple competing theories about AI's resilience against deception and notable unknowns regarding its effectiveness in such high-stakes environments.
We present CAIA, a benchmark exposing a critical blind spot in AI evaluation: the inability of state-of-the-art models to operate in adversarial, high-stakes environments where misinformation is weaponized and errors are irreversible. While existing benchmarks measure task completion in controlled settings, real-world deployment demands resilience against active deception. Using crypto markets as a testbed where $30 billion was lost to exploits in 2024, we evaluate 17 models on 178 time-ancho...