Raw LLM Responses

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G @Sebastian Not really. You can teach and make A.I. Learn and solve problems on t… ytr_UgyGbm9aP… G Another way to poison these generators would be to "impersonate" popular artists… ytc_UgzLokyqV… G an ai ''painting'' made by a android sold for 1 million$. It's ridiculous. How … ytc_Ugzrr9ujY… G It doesn't take inspiration from Monsters inc. AI doesn't take inspiration from … ytc_UgxNZP1sG… G Ezra Klein spent years telling his story of why he's not scared of AI - somethin… ytc_UgwuRAK86… G Interesting! Expanding on the apology bit as someone with little-no empathy or r… ytc_Ugwshfp7n… G ChatGPT has gotten better,. but I still don't trust it more than say a 5yr old c… rdc_mlfqbmw G All this is doing is eliminating jobs and allowing the company to take more prof… ytc_UgyertbPX…
Comment
Regarding the ending, so how can a machine where none of the subparts are actual thinking, get 80% success rate suddenly on normal white collar tasks in many industries? It seems like there is a missing reasoning leap there. 😂 I can only conclude that this machine will work continuously for 4 hours of deep work, but the result will be only mildly useful to a company. Also in real life, I get 1 good result out of 2-4 deep work sessions 3-8 hours), but the other sessions taught me where I was wrong and is important to the process. How will success be evaluated then? Also I have not seen 80% success rate anywhere if that means the result/product fully did what you asked and it can be deployed to production. Usually the 80% means it finished (stopped running), but it may not have passes all the tests, may have totally skipped some requirements, and usually have glaring problems that make it unusable in production. I would welcome a 2nd video with detailed example of how LLM or any other deep-learning & machine-learning model combo can replace x% of white collar jobs in the near future. Even if you believe it will take 10-20 years instead of 1.5-2 years, I would like to hear your thoughts. Thanks. 🎉
youtube AI Jobs 2026-03-02T18:5…
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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