Thread

1. vhantz · 1789914210 · focus · HN ↗

   Building up strawmen against LLMs will only make the hypers look more reasonable. A language model responds to inouts exactly as a model of anything else would. That is enough to explain all the "intelligence" without believing a model is somehow a "new kind of mind". Those who think LLMs are intelligent don't know enough about models. And those who think they are useless don't know enough about models.

   1. 10xDev · 1789914473 · focus · HN ↗

      So once we have online learning in LLMs, what do you think you will have that makes you intelligent but not LLMs? Better learning efficiency? That will be improved as well.

      I think we need to start moving on from the term LLMs because it clearly confuses people since they started modelling more than just language.

      1. vhantz · 1789919350 · focus · HN ↗

         What else are they modeling?

         1. 10xDev · 1789919950 · focus · HN ↗

            You realise tokens are just data and data can represent anything.

            1. vhantz · 1789921707 · focus · HN ↗

               Still, large language models model language.

               1. red75prime · 1789992696 · focus · HN ↗

                  Almost all of the latest models are MLLMs (multimodal large language models). For exmaple, [1] evaluates GPT-6 Astra on vision tasks.

                  [1] <a href="https:&#x2F;&#x2F;blog.roboflow.com&#x2F;gpt-6-astra-vision&#x2F;" rel="nofollow">https:&#x2F;&#x2F;blog.roboflow.com&#x2F;gpt-6-astra-vision&#x2F;

                  1. [deleted] · 1790004720 · focus · HN ↗

                     [deleted]

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