Raw LLM Responses

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G I genuinely wonder what stuff people work with. Usually AI 'helps' me to figure… rdc_m80ktrp G ​@thewannabecritic7490 You could honestly have stopped here: "1. They got paid … ytr_Ugw9XFiPX… G Who cares, they have most of the money already and will have all of it soon enou… ytr_Ugw0SIs4-… G Engine is fine no damage whatsoever and it has 65k on it. I’m aware they do junk… rdc_o7ww7v8 G The journeyman or master electrician doesn't solve the problems caused by the ap… ytr_UgyJHfcYY… G Robot plumbers in the next 5 years? Has he seen the robots at the Tesla Diner? … ytc_UgysEY7oz… G It does look like ai. You can always tell with the hair and background. Still do… ytc_UgwuWvTuh… G somany jobs will be lost through automation. and without something like univers… ytc_UgyFSYmX9…
Comment
Hinton's point about distributed memory — inspired by holograms in the 60s — is actually the key insight most people skip over. When he describes how memories are spread across many neurons rather than stored in individual cells, he's describing the exact architectural principle that makes distributed AI systems so powerful. A model isn't in the weights of a single chip. It's in the emergent behavior across billions of parameters, just like intelligence isn't in a single neuron. This is why the future of AI isn't centralized in a data center — it's distributed inference running across millions of mobile edge nodes simultaneously. The next breakthrough won't come from scaling compute in one location; it'll come from orchestrating intelligence across a global mesh of endpoints. @edge-41 covers exactly this frontier — the intersection of distributed AI architecture and global mobile networks. One of the most technically grounded voices on where this is actually heading.
youtube AI Moral Status 2026-04-06T15:2…
Coding Result
DimensionValue
Responsibilityunclear
Reasoningunclear
Policyunclear
Emotionunclear
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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