I did step into that particular trap more than once (passing the result, rather than the function)
"We made a programming error in our use of an LLM, didn't do any QA, and it cost us $10k" doesn't generate the C-suite "oh shit what if ChatGPT fucks up, what's our exposure!?" reaction. There's a million middle and upper management posting this article on LinkedIn, guaranteed.
It's like the Mr. Beast open-mouth-surprised expression thumbnail nonsense; you feel incredibly compelled to click it.
While we're on the subject: LLMs can't make "mistakes." They are not deterministic.
They cannot reason, think, or do logic.
They are very fancy word salad generators that use a lot of statistical probabilities. By definition they're not capable of "mistakes" because nothing they generate is remotely guaranteed to be correct or accurate.
Edit: The mods boosted the post; it got downvoted into oblivion, for obvious reasons, and then skyrocketed instantly in rank, which means they boosted it: https://hnrankings.info/40627558/
Hilarious that a post which is insanely clickbait (which the rules say should result in a title rewrite) got boosted by the mods.
I'm sure it's a complete coincidence that the story was apparently authored by someone at a Ycombinator company: https://news.ycombinator.com/item?id=40629998
This makes no sense. Only things that are guaranteed to be correct or accurate can make mistakes? Everyone knows what "mistake" means in this context. Nobody cares what your preferred definition of mistake is.
Hard to put in words.
But that's roughly what is concerning about the "AI makes mistakes" narratives.
It implies they are caused by a (fixable) fault in reasoning or memory.
LLM "AI" will always respond that it made a "mistake" when you correct it.
It is trained to do so, and humans often behave similarly.
It is hard to come up with a good definition for "mistake", yes.
That does not change that using this in case of LLM hallucinations is misleading.
By that logic, nothing is capable of making mistakes :D.
> Hilarious that a post which is insanely clickbait (which the rules say should result in a title rewrite) got boosted by the mods.
You have a distorted view of what clickbait is and the rules of this site. I suggest you go calm down and try to stop hating on a technology which is just that: a technology! Like any other, it can be misused, but think about why exactly you feel so passionate about this particular technology.
It is, after all, incapable of feeling hurt.
> It's like the Mr. Beast open-mouth-surprised expression thumbnail nonsense; you feel incredibly compelled to click it.
I feel incredibly compelled to ignore it.
Sponsorblock is great for combating that. (Altough, I conciously avoid channels that mostly do clickbait anyways)
* UUID Generation in Primary Key: The default parameter should use the callable uuid.uuid4 directly instead of str(uuid.uuid4()). SQLAlchemy will call the function to generate the value.
* Date Default Value: server_default=text("(now())") might not work as expected. Use func.now() for server-side defaults in SQLAlchemy.
* Import Statements: Ensure uuid and text from sqlalchemy are imported.
* Column Definitions: Consider using DateTime(timezone=True) for datetime columns to handle time zones.
It then provided me with corrected code that does
id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()), unique=True, nullable=False)
The other common issue is if the original code has thinsg chatgpt doesn't like (misspell, slightly wrong formatting) it will fix it automatically, or if he really think you should have added a particular field you didn't add.
...also from next.js and prisma to python? ...what?