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G Seeing AI used so poorly is frustrating. Pneumatic Workflow's human-in-the-loop … ytc_Ugw0mK_x_… G Why would you replace Google with duckduckgo? I thought it just used Bing. And w… rdc_oaa4hyg G He wanted to use Ai for the strikes on Iran. Company said No. Thats why Hes so a… ytc_UgwmD-UGG… G TLDR: Ai art isnt art as it doesnt match the definition of art. If you think oth… ytc_Ugxm2YI0s… G The Ludites are VASTLY misunderstood and share a lot in common with the anti-AI … ytc_Ugyt_DVqj… G Imagine fleets of drones armed to the teeth controlled by AI because someone dec… ytc_UgxV0PqxT… G Porn has literally the same problem as art does... Nobody likes AI porn because … ytc_Ugx7Wv4oh… G New age AI , welcome to the 25th century.. send them out.. but I do think a con… ytc_UgxfGU5AT…
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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