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Joined 9 months ago
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Cake day: November 24th, 2025

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  • The fact they are trained to complete sentences and are thus word predicting models only tells us vaguely how they work. It does not tell us anything about their sentience.

    The sentience, if there is, comes from the emergent reasoning that develops in the massive neural network to offer actual good predictions: the more you think, the better the predictions.

    For example, models trained to produce textual board games predictions can be sounded to show they developed subnetworks corresponding to an inner representation of the states of the game. Models trained to produce images have emergent subnetworks on depth-maps, contours and lighting.




  • Discussing the consciousness of neural networks is NOT being pro-AI. I’d say it’s even the opposite, as it displays the danger of such a technology.

    Most of the words in the definition have multiple interpretations, it is not as easy as you wish it would be.

    Finally, we do NOT at all know how trained neural networks work. We know how training and inference work. We can read the neurons, but the shear size of weights make it a rather impenetrable black box we have to study, partially, to understand the goals of the emergent sub networks.


  • Having “real intelligence” is not a sufficient requirement to decide over which systems are sentient or not e.g. there are very low IQ “real intelligences”.

    Dictionary defintions serve for a partial understanding but are not enough to understand scientific concepts, especially definitions that are not under scientific consensus. Moreover, current AI systems, including tool-assisted LLMs can satisfy these definitions.

    Since you like exercising your brain, I’d recommend reading about sophisms.

    Note that I am not asserting that LLMs are sentient, but that your statement is too confident and that the subject requires actual care.