Raw LLM Responses
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all the positive benefit of AI, replacing high paying professional jobs, making …
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We appreciate your feedback. If you have any specific concerns or questions, fee…
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what she said is literally the definition of art. Either redefine art or stop sa…
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you're talking as if you have any say in this matter, you're an ai creator? if n…
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We have already screwed ourselves. What makes it worse is that those top brass a…
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Why is it that the people offering the most frightening warnings about AI are in…
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Some are saying ChatGPT is “prophetic” or even “evil.” In truth, it’s not consci…
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Imagine bullying a person just because they use AI. Girl, let people be. You can…
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Comment
5:00 some points of clarity--the computational difficulty of the AI training task is really irrelevant. The military can throw billions at super computers to train the AI models in advance. Whats important for the actual equipment is called inferencing, which has very different performance requirements and constraonts. Inferencing tends to be several orders of magnitude easier than training.
Moreover, the US military doesn't tend to slap Nvidia GPUs inside their military hardware. Once an AI model has been trained and developed, the military will turn that model into an inferencing ASIC--a hard ware chip with the model embedded into the chip. This chip is then hardened against electromagnetic interference and radiation. The military may also use FPGAs because of their ability to be upgraded on the fly, however, the performance, scalability, durability, and cost of an ASIC is vastly superior.
The key point here is that talking about Nvidia GPUs is mostly irrelevant for US military hardware except maybe during the training phase of the model.
Lastly, AI is a lot more than trained neural networks. Many tasks are better accomplished via a fast tree algorithm or regression analysis or some other statistical calculations.
youtube
2024-07-01T19:0…
♥ 2
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_Ugxvkr18EvJ-JfzhXFF4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgwbBrYAJqwFQ8bORR14AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugxk6bNQS-5_5TW592B4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugz23Qm9ffqaaXl3TRh4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzZ0CiFsz764eXP-jx4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugxk3YRfOnouQW20esh4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugxok8Q-Rpere_M2rUt4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugw0KeTVSw5bo5VyRBB4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugw9ZW2IyudNiRRiOo94AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"fear"},
{"id":"ytc_UgwL_gB2UITIsd5ez2F4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}
]