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bballerkt7 t1_j8e6l5f wrote

Reply to comment by pyepyepie in [R] [N] Toolformer: Language Models Can Teach Themselves to Use Tools - paper by Meta AI Research by radi-cho

Because AI being able to use APIs is a big step towards it being able to interact with the real world effectively, specifically the digital world. Imagine chatgpt being able to now do things for you in the digital world like go online shopping for you or trade stocks etc.

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pyepyepie t1_j8e7gjp wrote

Thanks :) I agree it's useful but I don't see how it's related to AGI. Additionally, it was already done a long time ago, many "AI" agents used the internet before. I feel that the real challenge is to control language models using structured data, perform planning, etc., not to use language models to interact with the world (which seems trivial to me, sorry), but of course, it's just my opinion - which is probably not even that smart.

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VelveteenAmbush t1_j8fusa5 wrote

> I feel that the real challenge is to control language models using structured data, perform planning, etc.

I think the promise of tool-equipped LLMs is that these tools may be able to serve that sort of purpose (as well as, like, being calculators and running wikipedia queries). Could imagine an LLM using a database module as a long-term memory, to keep a list of instrumental goals, etc.. You could even give it access to a module that lets it fine-tune itself or create successor LLMs in some manner. All very speculative of course.

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bballerkt7 t1_j8eddln wrote

No worries I think you definitely have a valid take. I always feel not smart talking about AI stuff lol :)

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farmingvillein t1_j8frv87 wrote

> not to use language models to interact with the world (which seems trivial to me, sorry),

The best argument here is that "true" intelligent requires "embedded" agents, i.e., agents that can interact with our (or, at least, "a") world (to learn).

Obviously, no one actually knows what will make AGI work, if anything...but it isn't a unique/fringe view OP is suggesting.

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