[Lingtyp] Future of AI, Simulating Reality...

[randylapolla]

Hi All,
The problem with AI is exactly that the people doing it do not understand communication. LLM’s are simply statistical probability machines, called Artificial Narrow Intelligence. They work on inductive inference. But human cognition and communication relies mainly on abductive inference, and that is what computers will need to do for Artificial General Intelligence to be achieved. As yet they cannot achieve that, and most people in the field don’t even know that it is what is necessary. I’ll attach some slides from a talk I gave last November that contrasts ANI and AGI and talks about the relevance of different types of inference. At the same time, both ANI and AGI are dangerous, and I discuss that aspect as well.

Randy

> On 7 Aug 2025, at 4:11 PM, Stela MANOVA via Lingtyp <lingtyp at listserv.linguistlist.org> wrote:
>
> Dear Colleagues,
>
> I would like to draw your attention to an interview with Demis Hassabis, CEO of Google DeepMind and recipient of the 2024 Nobel Prize in Chemistry. The interview is featured on Lex Fridman’s podcast and is titled “Future of AI, Simulating Reality, Physics and Video Games”, available here:https://www.youtube.com/watch?v=-HzgcbRXUK8&t=860s.
>
> Although the conversation does not focus specifically on language, it offers valuable insights into large language models (LLMs), particularly how they can model language without possessing linguistic competence—relying instead on patterns derived from observation.
>
> Notably, many computer scientists consider LLMs to represent the first and most accessible step toward Artificial General Intelligence (AGI).
>
> Best regards,
> Stela Manova, PI Gauss:AI Global
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