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This is such a shame, finding where stuff is in a large codebase is my number 1 use for LLM. I hate it that it relies on grep so much, I can do grep better and faster myself.

by z0ltan21 minutes ago|

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[dead]

by wg02 hours ago|

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If I set a regular expression as watcher on a filesytem to notify me if any file changes and I write that in go and assuming regular expression isn't buggy nor its implementation - and then I write rules in a file (as regex) then there's snowball in hell of a chance that it would misnotify or miscategorize anything.

Are LLMs that super reliable in their output already with all the guardrails around?

Don't think so. Hence it is snake oil just like dozens of harnesses.

It might behave differently than specified and a human is required to validate every output carefully or else.

by vntok1 hours ago|

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> Are LLMs that super reliable in their output already with all the guardrails around?

Well, what is your definition of "super reliable in the output", and is it a quantifiable/measurable target or just a feeling?

Is it "more than humans", "more than senior developers", "almost perfect", "perfect"?

> It might behave differently than specified and a human is required to validate every output carefully or else.

Sure, just like meatbag developers. All the security flaws AI finds today were introduced years/decades ago by humans and haven't been found (that we know) by humans in ages.

by wg01 hours ago|

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It is quantifiable thing not a feeling.

Between ten thousand runs of:

``` const int MAX_COUNT = 10000;

printf("I'll count up to %d", MAX_COUNT); for(int i=1; < MAX_COUNT; i++) printf("I'm now counting %d", i); ```

And of the following prompt:

``` You'll count to 10,000. At the start say "I'll count up to 10,000" and then for each number say "I'm now counting <number>" and do not say anything else. Do not miss numbers in between. ```

Which one is going to produce 100% correct results out of a 10,000 run of each?

Now don't give me "these are different tools". We all know. I'm talking about reliability and predictability.