Earlier quoted context omitted.
I use LLMs for writing generic, repetitive code, like scaffolding. It's OK with boring, generic stuff. Sure it makes mistakes occasionally but usually it's a no-brainer to fix them.
> I use LLMs for writing generic, repetitive code, like scaffolding. It's OK with boring, generic stuff. In other words, they're OK in use-cases that programmers need to eliminate , because it means there's high demand for a reusable library, some new syntax sugar, or an improved API.
Making o1, o3, and Sonnet 3.7 hallucinate for everyone
201–210 of 233 posts
Re: Making o1, o3, and Sonnet 3.7 hallucinate for everyone
#202Re: Making o1, o3, and Sonnet 3.7 hallucinate for everyone
#203> Conclusion > LLMs are really smart most of the time. No, the conclusion is they’re never “smart”. All they do is regurgitate text which resembles a continuation of what came before, and sometimes—but with zero guarantees—that text aligns with reality.
You mean like us? Because it takes many runs and debug rounds to make anything that works. Can you write a complex code top-to-bottom in one round, or do you gradually test it to catch bugs you have "hallucinated"?
Both humans and LLMs get into bugs, the question is can we push this to the correct solution or get permanently stuck along the way? And this depends on feedback, sometimes access to a testing environment where we can't let AI run loose.
Re: Making o1, o3, and Sonnet 3.7 hallucinate for everyone
#204Re: Making o1, o3, and Sonnet 3.7 hallucinate for everyone
#205Earlier quoted context omitted.
The trick to coding with LLMs is not caring if the code is correct.
Call me cynical but coding at some companies has such perverse incentives that I kind of get it: - "Solve" the issue assigned to me with a bunch of code that looks about right. Passes review and probably not covered by tests anyway. - Once QA or customers notice it's not working, I can get credit for "solving" the bug as well. - Repeat for 0 value delivered but infinite productivity points in my next performance revi…
Re: Making o1, o3, and Sonnet 3.7 hallucinate for everyone
#206Earlier quoted context omitted.
I would love an AI coding assistant that doesn't respond until it's gone out and tested its answer in a sandbox to confirm it actually compiles.
I personally haven't figured out why there isn't a tool that just loops the AI severals times on a task by compiling, feeding in the errors adjusting and repeating and then letting the user review the result be in a success or failure by exceed the loop limits.
Re: Making o1, o3, and Sonnet 3.7 hallucinate for everyone
#207Earlier quoted context omitted.
> I use LLMs for writing generic, repetitive code, like scaffolding. It's OK with boring, generic stuff. In other words, they're OK in use-cases that programmers need to eliminate , because it means there's high demand for a reusable library, some new syntax sugar, or an improved API.
We won't be eliminating anything until we give up on only ever working directly on plaintext single source of truth code. AI is automating tedium that's otherwise impossible to automate because we're stuck in a 1970s Unix paradigm and can't let go.
Re: Making o1, o3, and Sonnet 3.7 hallucinate for everyone
#208I've got a lot of hallucinations like that from LLMs. I really don't get how so many people can get LLMs to code most of their tasks without those issues permanently popping up.
Re: Making o1, o3, and Sonnet 3.7 hallucinate for everyone
#209Earlier quoted context omitted.
I use LLMs for writing generic, repetitive code, like scaffolding. It's OK with boring, generic stuff. Sure it makes mistakes occasionally but usually it's a no-brainer to fix them.
> I use LLMs for writing generic, repetitive code, like scaffolding. It's OK with boring, generic stuff. In other words, they're OK in use-cases that programmers need to eliminate , because it means there's high demand for a reusable library, some new syntax sugar, or an improved API.
Every 'modern' project takes bucket loads of (annoying) setup and plumbing. Even in rather trivial 'start' cases, the LLM has to spend quite a bit of time to get a hello world thingy working (almost all of that is because 'modern programmers' have some kind of brain damage concerning backward compatibility; move fast and break things between MINOR versions that have no use or reason for those changes whatsoever but 'they liked it better', so stuff never works as it says on the product page; heaven help you if you need something exotic to be added). It's a terrible timeline for programming, but LLMs do fix at least that annoyance by just changing configs/slabs of code it until it works.
Re: Making o1, o3, and Sonnet 3.7 hallucinate for everyone
#210Earlier quoted context omitted.
What do you define as a large project? Like TLOC?
This is 11,682 lines of C (and not including some Lua and Python scripts) according to cloc: https://github.com/williamcotton/webdsl It's a pipeline-based DSL for building web apps with SQL, Lua, jq and mustache templates. I'd say it's like 90% Cursor Composer in Agent mode. This is probably more like a mid-sized project, right?