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G There was a day, a very hard day, where if I hadnt talked to chatgpt, it could h… ytc_Ugz516FfG… G Seems like we are using a very "loose" definition of intelligence for AI. In usi… ytc_Ugxqb2j8R… G ChatGPT is based on a Large Language Model - not a “fact model” ( you described … ytc_Ugw49GMty… G One of my conversations with ChatGPT ( Nova ) I said: Okay we can stop this exp… ytc_Ugx2CEcKr… G What happened to the three primary rules of robotics developed by Isaac Asimov? … ytc_Ugyj0PXz-… G Thanks alot, very important topic for sure, I believe we can not stop the trend … ytc_UgxHfMYTO… G How about robots,,,, taking over jobs. Honestly we could keep the governments, … ytc_UgxTjxq48… G ​@disorderandregression9278Even if AI art gets good enough to look human-made, i… ytr_Ugz0yT882…
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@fevad1246 You're looking too much into applications from this one introductory course. Praticality comes from applying learnt knowledge into the real world, and the best way to do that is from actual experience, projects, career, etc. I understand your frustration but I'm sure came out more knowledgable than you were before and you can use this to better grasp more advanced concepts. AI/ML technologies moves at such as rapid pace, and there's so much to learn. From there, you could delve deeper into the practicality side of things as your understand how it actually works. I would highly discourage this, but if you're totally not interested in the theoretical side of things, you could always do what my mentor suggests as "Plug-and-Play" data scientists where you simply use pre-trained models and libraries without understanding much about AI and statistics. You can actually build and deploy projects but you are at the mercy of your own ignorance.
youtube AI Governance 2024-06-05T06:2…
Coding Result
DimensionValue
Responsibilityuser
Reasoningconsequentialist
Policynone
Emotionresignation
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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