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G Watch the first episode of Start Trek, "Where No Man Has Gone Before." While it … ytc_Ugwliypuk… G We apologize for any inconvenience you experienced. Our AI models continually le… ytr_UgzHcqXBk… G AI will widen even more the disparity between the already ultra wealthy and the … ytc_UgxjUydGw… G AI art doesn’t have the love and passion that an art piece that a human could ma… ytc_UgxvNSSCA… G THE SOULLESS ARE A NUISANCE You are all living a false reality imposed on you … ytc_Ugy6Khs-H… G You should have her on the show. Amanda Askell, a 37-year-old philosopher at Ant… ytc_UgyWvAf1t… G Well this is proven two things one AI is getting too advanced and two. People wi… ytc_UgwYhou69… G It is BLAINTANLY obvious you don't care about the wellbeing of fellow artists. r… ytr_UgxAcGoIV…
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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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