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The Hugging Face attack required massive computational resources involving large-scale models and was ultimately stopped, demonstrating that such risks can be mitigated with sufficient defenses.
The paper proposes adaptive reasoning in agentic AI systems to dynamically allocate computational effort based on task demands, avoiding over-reasoning and under-reasoning through evaluation on MATH-500 and GAIA benchmarks.