Go ahead, tell me this image and scenario wasn't already available in its training data (it was [1]). Tell me that if it got it wrong in the first pass (which i

Go ahead, tell me this image and scenario wasn't already available in its training data (it was [1]). Tell me that if it got it wrong in the first pass (which it most likely did), the developers didn't explicitly tell it what the scenario was. I'm not saying the feat of LLMs is not impressive, they certainly are. Just don't tell me they have developed a "world model" and display understanding because they have not. They will always suffer the same issues that have plagued self-driving cars and autonomous robotics: they can only process what's in their training data, therefore they need to be trained on all scenarios that will ever exist to function outside of well-curated, well-defined closed systems. I would love a good chuckle too, unfortunately the total lack of critical thinking and understanding when it comes to these stochastic correlative black boxes leaves me greatly disappointed [1] https://www.reddit.com/r/Wellthatsucks/comments/j67atm/1_second_before/ https://www.reddit.com/r/Wellthatsucks/comments/j67atm/1_sec...