Raw LLM Responses

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Hell Sabine ! I prompted chatgpt to answer to today's transcript : here is his contribution : Sabine, sharp critique—but three points deserve nuance. First, LLMs are not purely purpose-bound: large transformers already show cross-domain transfer (text→code→vision) through shared latent representations. Second, “interpolation only” is overstated: systems like AlphaFold or recent math-reasoning models show genuine structural generalization beyond their training examples. Third, prompt injection is largely an interface and architecture issue; emerging agent systems separate policy, memory, tools, and execution layers to mitigate it. AGI likely won’t be just LLMs—but they may become the cognitive substrate within broader world-model-based agent architectures. Chatgpt auto
youtube 2026-03-04T09:5…
Coding Result
DimensionValue
Responsibilitynone
Reasoningmixed
Policynone
Emotionindifference
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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