Post #3062637
2025-10-06 21:32 UTC
@PalmAndNeedle@norden.social @nicolaromano@qoto.org @Kiloku@burnthis.town @eb@social.coop A partial distinction is helpful:
From an engineering viewpoint current models are very good at predicting the next token, e.g. generating plausible text etc. But task like math Wege not considered in the training of these models. So it's expected they are not very good with it. The classical definition of model has "pragmatic feature" (use case) as a key part.
There are models that are not to bad even with formal mathemtatics.
Replies (1)
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@onterof@sueden.social 2025-10-06 21:39
@PalmAndNeedle@norden.social @nicolaromano@qoto.org @Kiloku@burnthis.town @eb@social.coop Question is: Why are MS & Co integrating models into such uses cases, absolutely knowing they are n't suitable for. My guess: The desperate hope to establish AI into workfloss, start making money instead of burning it, and try to fix the real problems later. Could also the be another sign of bubble doing bubble things.