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Brian_K_Whitetoday at 12:51 AM5 repliesview on HN

I hate to help provide possible soultions to an entire process I don't approve of, but maybe the fuzzy tools need old style deterministic tools the same way and for the same reasons we do.

So instead of an LLM trying to answer a math or reason question by finding a statistical match with other similar groups of words it found on 4chan and the all in podcast and a terrible recipe for soup written by a terrible cook, it can use a calculator when it needs a calculator answer.


Replies

cootsnucktoday at 3:31 AM

They absolutely need deterministic tools. What you just described is exactly how the current popular AI agents work. They use "harnesses", which to me is just a rebranding of what we have known all along about building useful and reliable software...composable orchestrated systems with a variety of different pieces selected based on their capabilities and constraints being glued together for specific outcomes.

It just feels like for some reason this is all being relearned with LLMs. I guess shortcuts have always been tempting. And the idea of a "digital panacea" is too hard to resist.

analog31today at 3:47 AM

Doesn't agentic AI do this? I've got AI running in VS Code. If I ask it for something, it can fill a code cell with a little bit of Python, and then run it with my approval. It's using the Python interpreter on my computer as a calculator.

stevulatoday at 2:09 AM

I think that is how the smarter agents do things? Just like Claude/ChatGPT sometimes does a web search they can do other tool calls instead of just making a statistical guess. Of course it doesn’t always make the bright choice between those options though…

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epcoatoday at 3:22 AM

That’s exactly how all the current cloud chat bots and agents work now.

colechristensentoday at 12:54 AM

No, they just need to be trained to have adversarial self review "thinking" processes.

You ask an LLM "What's wrong with your answer?" and you get pretty good results.

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