Raw LLM Responses
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Me when people use AI do to things they could’ve done themselves instead of doin…
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his points would only make sense if he made his own AI and trains it ONLY using …
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We have survived the nuclear race of nations, hopefully we will be able to survi…
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I'm also noticing AI output getting worse. For a while it was getting better. Bu…
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If we skip hiring juniors now, we’re skipping the seniors of tomorrow. If we rel…
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That is the question of the ages. Data into machine vs data into human. Which on…
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Right, so the next time Biden poops his pants and falls on his face, these same …
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Ahhh. Am I the only one who was totally blindsided by Ani?? Musk releases one of…
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Comment
I distinction I believe is gravely unrecognized is that LLM based AIs are incapable of actually thinking. They do not possess semantic, causal, or goal-directed intelligence, only a statistical imitation fueled by pattern recognition from their training data. The easiest example of this is mathematics. LLMs are not capable of calculating equations. Chatgpt will answer math questions correctly only because it has an external module for calulated math to call on when needed. AIs like chatgpt use a number of external modules to supplement their shortcomings, but they still use the LLM as the primary brain to operate. The LLM being the primary brain is the problem and no amount of training or data will ever be enough to make it safe and reliable....but LLM's are cheaper to make. The alternatives are extremely expensive and difficult to make, so companies are throwing all their eggs into the LLM basket and trying to finagle it into a functional state with post processing rules and supplemental modules. It's a dead end. Something like a Neurosymbolic AI is the only real path forward. A million times harder to create but the only way if you want the AI to actually be safe and reliable.
youtube
2025-12-17T16:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | unclear |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
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