Raw LLM Responses

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G A.I. is has ALREADY replaced 5% of May 2023 jobs - Don’t sit there disbelieving!… ytc_UgxSZRyA4… G ESTE TRABAJO HARA LA INTELIGENCIA ARTIFICIAL LA AI PARA MATAR A LOS… ytc_UgwPoivkd… G Almost like... you should shouldn't trust cars that navigate using Chinese AI to… ytc_UgwhZWlo4… G Tbh, I think that artists might be a bit too worried. This situation is bad but … ytc_Ugz3GU09H… G If I get "destroyed" by a robot.. I want it to be this one just with a nice long… ytc_UgycSLwHX… G I would say that as well you always cross check chatgpt isn't a big no while it … ytr_Ugx5CLGj3… G Born with talent is a frustrating comment. Apparently the thousands of hours sat… ytc_UgxzKoYz9… G Bear in mind that this will all basically make a handful of already very rich pe… ytc_UgyKMUJeA…
Comment
from what I understand larger ai models are trained off of enormous pools of data and usually fine-tuned with a bunch of parameters to make them usable in as many general cases as possible, but as a result they're not good at very specific things (like asking an llm about some well-known scientific facts might result in it retrieving correct information, but if you ask it about more obscure or recent studies it's much more likely to come up with unreliable information) what a lora does is tweak some of these parameters in order to better suit the user's needs which allows people to take a model trained and tuned for general use and, with very little effort or adjustment, tune it to their specific use case (in this example it'd be taking a model designed to generate images and altering the parameters to focus on specific parts of the image to result in a different style being reproduced) tldr a lora is an attachment someone can add to a general-purpose model to make it work better in a set of specific cases
youtube Viral AI Reaction 2025-08-18T22:5… ♥ 1
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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