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A recent post on Reddit suggests a significant issue with large language models like GPT, implying they are prone to catastrophic failures due to their high operational costs. The author describes a task that took an AI model 5 minutes but cost $10 in tokens (with a subsidy), while the actual compute cost was around $100. This stark comparison raises concerns about the reliability and stability of such systems, suggesting they are at risk of “crashing HARD.”
- The post highlights the discrepancy between the perceived efficiency of AI models versus their true costs.
- It underscores the need for more research into the robustness and safety of large language models.
- The warning suggests these systems could pose a substantial threat if they fail catastrophically, with potential impacts ranging from data loss to financial ruin.
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Originally published at reddit.com. Curated by AI Maestro.
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