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G @BillyChilly100yeah, I think ai will still be around just won’t be as prevalent … ytr_Ugwf10f2B… G i will always say AI will NEVER take over my job and i stand by that BUT love th… ytc_UgzqmyDS4… G The first part is addressed in the video, the second still involves Midjourney w… ytr_UgxCjr21R… G The same thing is happening with fanfiction. Writing ai are trained by trawling … ytc_UgzlE64gY… G You could have ai analyze for any patterns that look remotely like letters. Then… ytc_UgwDn8h2P… G The current AI models are still dumb as shit. I regularly have to correct them w… rdc_nt6p90k G Dude i looked up windmills on Pinterest and found AI images, WHY DO YOU NEED AI … ytc_UgxDyARa9… G Wake up humanity, they're going to be replacing all of humanity very soon. They'… ytc_Ugxbc9N8A…
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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