I read every single word of it, twice, and I was laughing all the way through. I’m sorry you don’t like it, but it seems strange that you immediately assume that I haven’t read it just because I don’t agree with you.

This is such a fun and insightful piece. Unfortunately, the people who really need to read it never will.

I get notifications for calls (obviously), SMS messages (of which I receive an average of 1 per month) and IMs from my immediate family. Everything else I check up on when I actually feel like I have the time for it. This has dramatically reduced the number of emails and other things I forget to reply to/act on, because I see them when I want to and when I have the time to actually deal with them; not when some random notification pops up when I’m doing something else, gets half-noticed and swiped away because I’ll deal with it later.

The headline is supposedly CISA urging users to either update or delete Chrome — it’s not Chrome/Google itself. However, I’m having trouble finding the actual CISA alert. It’s not linked in the article as far as I can tell.

Fair enough, and thanks for the offer. I found a demo on YouTube. It does indeed look a lot more reasonable than having an LLM actually write the code.

I’m one of the people that don’t use IntelliSense, so it’s probably not for me, but I can definitely see why people find that particular implementation useful. Thanks for catching and correcting my misunderstanding. :)

I’m closing in on 30 years too, started just around '95, and I have yet to see an LLM spit out anything useful that I would actually feel comfortable committing to a project. Usually you end up having to spend as much time—if not more—double-checking and correcting the LLM’s output as you would writing the code yourself. (Full disclosure: I haven’t tried Copilot, so it’s possible that it’s different from Bard/Gemini, ChatGPT and what-have-you, but I’d be surprised if it was that different.)

Here’s a good example of how an LLM doesn’t really understand code in context and thus finds a “bug” that’s literally mitigated in the line before the one where it spots the potential bug: https://daniel.haxx.se/blog/2024/01/02/the-i-in-llm-stands-for-intelligence/ (see “Exhibit B”, which links to: https://hackerone.com/reports/2298307, which is the actual HackerOne report).

LLMs don’t understand code. It’s literally your “helpful”, non-programmer friend—on stereoids—cobbling together bits and pieces from searches on SO, Reddit, DevShed, etc. and hoping the answer will make you impressed with him. Reading the study from TFA (https://dl.acm.org/doi/pdf/10.1145/3613904.3642596, §§5.1-5.2 in particular) only cements this position further for me.

And that’s not even touching upon the other issues (like copyright, licensing, etc.) with LLM-generated code that led to NetBSD simply forbidding it in their commit guidelines: https://mastodon.sdf.org/@netbsd/112446618914747900

Edit: Spelling

I wouldn’t trust an LLM to produce any kind of programming answer. If you’re skilled enough to know it’s wrong, then you should do it yourself, if you’re not, then you shouldn’t be using it.

I’ve seen plenty of examples of specific, clear, simple prompts that an LLM absolutely butchered by using libraries, functions, classes, and APIs that don’t exist. Likewise with code analysis where it invented bugs that literally did not exist in the actual code.

LLMs don’t have a holistic understanding of anything—they’re your non-programming, but over-confident, friend that’s trying to convey the results of a Google search on low-level memory management in C++.

Nowhere does he say that he doesn’t believe in Wunterslash, so I’m cool with him.