Raw LLM Responses

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G At 18:25 court recognized “150 prompts” 😂 Soo- Poor communication skills with th… ytc_Ugyz4X89g… G If US failed at this comeptition and rece, then China would outperform abd rule … ytc_Ugz_zeQiY… G This is scary bro they really tryna replace humans with Bots they creating a Dys… ytc_Ugx3YmOmF… G Ai is so good at improvising that you forget it‘s improvising and not actually a… ytc_UgyBAphS8… G There are some models that claim to be trained fully on public domain and creati… ytc_Ugwe1q5oC… G there is one thing about AI jobs that I see nobody talking about if these greed… ytc_UgyFXrs44… G I'm a beginner artists and hate my art, but at least I'm not an AI prompter/""""… ytc_Ugz6hTl9B… G Those are real people. No way they're gonna waste their time making a black rob… ytc_UgyJlq1ZH…
Comment
​@spades.❤unfairness.protagonist I did: Google AI, does Geoffrey Hinton believe intelligence is too complex to understand? "Geoffrey Hinton does not believe that intelligence is inherently too complex to understand. On the contrary, his life's work is built on the premise that we can understand and replicate the mechanisms of intelligence by drawing inspiration from biological systems.  YouTube +2 However, he distinguishes between foundational principles and internal operations:  Understanding the Principles: Hinton argues that intelligence is fundamentally based on learning and adaptation within neural networks. He believes we can understand the high-level algorithms—like backpropagation—that allow intelligence to emerge from simple units." Hinton seems blithely unaware that all living things are born with massive built-in intelligence. Yes, even plants. The intelligence of living things, including humans, is fundamentally different to that of machines that very convincingly mimic intelligent human discourse.
youtube AI Governance 2026-03-14T03:5… ♥ 1
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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