Raw LLM Responses

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G My friend figure it out on his own by trying to make AI flirt with him lol… ytc_Ugx3w86hP… G Lol, if a robot demands rights we can just shut it down. Sadly we can't do that… ytc_Ugi7-SOHE… G The biggest risk in the next few years are evangelists of AI gaining more politi… ytc_UgxrE-_Ug… G Fabulous episode, I see a analogy between Large AI models being a bar to entry … ytc_UgxUgEBsB… G You Shouldn't Talk To It As If It's Sentient Either. You can't Humanize it becau… ytc_Ugwl8zbcg… G People mix up the concepts of intelligence, experience and consciousness. Ai wil… ytc_UgxjVWGx-… G That man's got his own house two cars one in the garage one outside and you goin… ytc_Ugy99rQjC… G We need a paradigm shift: our lives on this planet were never meant to be centre… ytc_Ugx6hsNKb…
Comment
Absolutely loved the predictions from Sabine, Although they are predictions and may not be 100% correct, but mostly to the point, and I love that we get something conclusive from this channel, you have to be brave to predict. Counter points I would add is, though not human like intelligence but text being the default median of our professions and work, LLMs do have potential in tasks which are non critical (medical or financial) and have verification loops, they can be automated and are being, and yes 90+% of work 90+% of time is not innovating but reproducing, so LLMs can help there as well.. and also when working with trusted sources, like for my own work or APIs I own/trust, there is no risk of prompt injection as with external communication. I am not denying any of Sabine points, just showing a way that LLMs can still be productive and effective if not entirely (which is good, as we keep our white color jobs). Also one point which Sabine didn't mentioned is the limited context window and context rot, which means LLMs don't have infinite memory and all the local context like us and instead we have to load relevant context every time we need them to work on each task, which is a major limitation.
youtube 2025-12-24T02:2…
Coding Result
DimensionValue
Responsibilitynone
Reasoningmixed
Policynone
Emotionapproval
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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