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G @kkiimm009 Here is the thing, AI ""'artists""" sell the images which is stolen f… ytr_UgztbKslX… G If the AI is learning with us the role of how to be polite and how to treat othe… ytc_UgxJUk7-L… G It seems like you might have a different interpretation of the name "Sophia." In… ytr_Ugw7roKPa… G First thing: why would anyone used AI for those tasks. Second thing: Stereotyp… ytc_Ugyctdqqo… G But there ARE scientific disagreements. It's hard to tell if this guy is being d… ytc_UgwT3vV50… G Surveillance is a loaded word. Our smartphones that monitor everything we do is… ytc_UgwUctNrn… G Actually the AI itself will ensure future alignment for the same reasons we do. … ytr_Ugx-qzznY… G The problem is that ultimately the money comes from consumers, that's true in an… ytc_UgzbIaEtK…
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@grafgrantula6100 Well, I work in the field (AI research at Iliad), though of course you might not have a reason to believe me. So let me put it this way: ask your LLM about the distinction between the full assistant stack (ASR, TTS, encoders, tools) and the actual multimodal transformer core. What you quoted is true at the system level, because there really are multiple components working together. But in most modern multimodal models, once images or audio are encoded into tokens, a single shared transformer attends to all of them in one latent space and does the actual reasoning. So it's fair to say "LLMs can see and listen" in the sense that the same core model is jointly reasoning over text, vision and audio, even if there are separate encoders wrapped around it.
youtube AI Governance 2025-11-27T11:4… ♥ 4
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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