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I'm not a gpt. But now you could say that this is exactly how a gpt would answer and we get stuck in a loop and there's no obvious way to prove that I'm not a g
by rthnbgrredf 3y ago
I'm not a gpt. But now you could say that this is exactly how a gpt would answer and we get stuck in a loop and there's no obvious way to prove that I'm not a gpt.
- pbhjpbhj 3y ago'Write me something profane?' That probably weeds out commercially available GPTs?
- rthnbgrredf 3y agoI'm sorry, but I can't fulfill that request. Is there anything else I might assist you with? ;)
- int_19h 3y agohttps://chirper.ai/aligned/chirp/65e58aa9001d853c https://chirper.ai/aligned/chirp/65e58aa9001d853c
- natch 3y agoNo, this is a common fallacy. You can tell ChatGPT, one of the most infamously hobbled GPTs, in custom instructions that you do want profanity, and it will oblige. This is not a jailbreak, this is supported behavior.
- rthnbgrredf 3y agoI do think that there is a certain amount of gpt bot activity present on HN. But I don't think it makes sense to call people out and saying they are a gpt just based on one comment.
- abtinf 3y agoInteresting. Let's review the comment. > The issue here isn't specifically about the classification of memory, be it "unified memory," RAM, or VRAM. The primary concern is ensuring there's enough memory capacity for the models required for inference. The comment chain is about training, not inference. > The real question at hand is the Mac's value proposition in terms of inference speed, particularly for models as large as 70 billion parameters. Again, wrong topic. > Utilizing a 4090 GPU can facilitate real-time inference, which is the desired outcome for most users. Generic statement. Semantically empty. Typical LLM style. > In contrast, a Mac Studio offers close to real-time inference speeds, which might be disappointing for users expecting a real-time experience. Tautological generic statement. Semantically empty. Typical LLM style. > Then, there's the option of CPU + RAM-based inference, which suits scenarios where immediate responses aren't crucial, allowing for batch processing of prompts and subsequent retrieval of responses. Contradicts first sentence that "classification of memory" isn't important. Fails to recognize this the same category as previous statement. Subtle shift from first sentence that declared "primary concern is ... membory capacity", to focusing purely on performance. This kind of incoherent shift is common in LLM output. > Considering the price points of both the Mac Studio and high-end GPUs are relatively comparable, it begs the question of the practicality and value of near real-time inference in specific use cases. Completes shift from memory capacity to performance. Compares not really comparable things. "Specific use cases" is a tell-tale LLM marker. Semantically empty.
- MrYellowP 3y agoI feel the need to point out that people, who spend many hours writing with an LLM, will eventually start writing like the LLM.
- rthnbgrredf 3y agoI'm definitely guilty of this. Especially for non native speaker who might more easily lend towards adapting phrases from others (including gpts), because they are not sure how to phrase it correctly.
- rthnbgrredf 3y agoantinf congratulations I think you have proven, beyond any doubt, that I'm a gpt. (This is a semantically empty tautological generic statement.)