Raw LLM Responses

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I work as an AI designer for an automation company. One crucial point that often goes unmentioned is that even relatively simple AIs like ChatGPT (which, by the way, is nowhere near super intelligent) require extensive unified hardware systems. The availability of such massive systems is still limited, which means there is no dedicated physical infrastructure for AI to "run" on, considering the enormous space required to store neural layers. We have very powerful towers at work an Despite having multiple racks of GPUs per tower (we set them up only for training our AIs) , they are insufficient to host ChatGPT. Contrary to what is depicted in movies, it's not feasible to split the network across different locations (at least not like movies). Additionally, it is important to note that ChatGPT lacks a means of backing itself up without our knowledge ( we will see the storage spaces and GPU spikes). The real danger lies in governments developing military AIs, as that poses a significant threat.
youtube AI Governance 2023-07-07T21:3… ♥ 501
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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