Raw LLM Responses

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G AI art is terrible distorted and horrifying most of the time. If you break into … ytr_Ugx_aYJp_… G AI has already started its time to learn. It was of thinking that most people on… ytc_Ugwf2WYeW… G These CEOs need to start being accountable for their time before they go saying … rdc_ohzp0l9 G Truth is who is training AI? Is it learning from humans and human history? What … ytc_Ugz8CI30S… G LOOKS LIKE THEY ONLY HAVE ONE ADULT(TEACHER) SINCE KIDS ARE TEACHING THEMSELVES … ytc_Ugz9fjKtO… G Even Margret Atwood didn’t see this coming. However, there sectors when even the… ytc_Ugwpkpi2L… G Why would we trust anything tech from Musk? Software and hardware historically … ytc_Ugzo_hmMc… G this video needs more views and likes, probably the most concise criticism i hav… ytc_UgxFMBLnH…
Comment
Good video, but it feels like it misses the bigger point. Nobody serious thinks today’s LLMs are the path to AGI—they’re just the current step, and of course they have limitations. But companies are preparing to spend $500B on next-gen AI infrastructure through projects like Stargate. You don’t build something on that scale just to make a better text generator. That kind of investment is about what comes after this paradigm—new architectures, real-world interaction, continual learning, etc. So when people judge the future of AI only by looking at today’s models… am I missing something? It’s like judging aviation by the Wright Flyer. We’re clearly in the transition phase. The real breakthroughs come next.
youtube 2025-11-17T22:1… ♥ 2
Coding Result
DimensionValue
Responsibilitycompany
Reasoningconsequentialist
Policyregulate
Emotionmixed
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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