Artificial
The guardrail tax: why enterprise AI safety overhead is costing more compute than actual reasoning
When enterprise technology officers evaluate large language model infrastructure, financial analysis almost universally focuses on API list pricing, GPU instance rates, and raw token throughput. Standard accounting models calculate compute expenditure per million tokens, factor expected query volume, and project annual licensing cost. This standard framework omits single largest operational inefficiency in modern commercial models: economic tax imposed by safety alignment paradigms. Reinforcem...
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