How are you using it for data crunching? That’s an honest question, based on my experiences with AI I can’t imagine how I’d use them to crunch data.

So I always have to check it’s work to some degree.

That goes without saying. Every AI I’ve seen or heard of generates some level of garbage.

My point is that I strongly feel that the kind of “AI” we have today is much closer to bacteria than to cats on that scale. Not that an LLM belongs on the same scale as biological life, but the point stands in so far as “is this thing intelligent” as far as I’m concerned.

it’s not inconceivable it could happen in the next two generations.

I am certain that it will happen eventually. And I am not arguing that something has to be human-level intelligent to be considered intelligent. See dogs, pigs, dolphins, etc. But IMO there is a huge qualitative difference between how an LLM operates and how animal intelligence operates. I am certain we will eventually create intelligent systems but there is a massive gulf between what LLMs are capable of and abstract reasoning. And it seems extremely unlikely to me that linear algebraic models will ever achieve that type of intelligence.

Intelligence is just responding to stimuli

Bacteria respond to stimuli. Would you call them intelligent?

I don’t know, have you ever used JavaScript? I’ve run into some really fucking weird bugs. I’ve also spent hours trying to find the source of an error message only to discover the error message was lying and caused by some other error.

The only part of copilot that was actually useful to me in the month I spent with the trial was the autocomplete feature. Chatting with it was fucking useless. ChatGPT can’t integrate into my IDE to provide autocomplete.

The point is that AI stands for “artificial intelligence” and these systems are not intelligent. You can argue that AI has come to mean something else, and that’s a reasonable argument. But LLMs are nothing but a shitload of vector data and matrix math. They are no more intelligent than an insect is intelligent. I don’t particularly care about the term “AI” but I will die on the “LLMs are not intelligent” hill.

I’m the opposite. AI is best (though not great) at boring shit I don’t want to do and sucks at the stuff I love - problem solving.

Their rules have stopped me from being able to do my job. Like the time the AV software quarantined executables as I was creating them so I literally could not run my code. When security enforcement prevents me from working, something needs to change.

My comment game has gotten far better since I started doing live code reviews. Essentially I ask myself, “Would I feel the need to explain this to someone during a code review?” and if the answer is yes I add a comment.

That’s a hot take. If you want your code to be maintainable at all, it needs comments. If you’re part of a team, write comments for them. If someone else may take over your project after you move on, leave comments for them. And have you ever tried to read uncommented code you wrote a year ago? Leave comments for yourself.

The key difference is that compilers don’t fuck up, outside of the very rare compiler bug. LLMs do fuck up, quite often.

Copilot frequently produces results that need to be fixed. Compilers don’t do that. Anyone who uses copilot to generate code without understanding how that code works is a shit developer. The same is true of anyone who copies from stack overflow/etc without understanding what they’re copying.

I have not and will not ever use AI generated code that I don’t thoroughly understand. If you properly understand the code you’re committing there shouldn’t be any damage. And beyond AI you should never commit code that you don’t properly understand unless it’s a throw away project.

I’ve run into that exact issue with copilot (deleting my tests). It is infuriating.

I don’t think I’d trust it to refactor code for me, not for anything important. I’d need to completely understand both the initial state and the result on a statement-by-statement level to be confident the result wasn’t secretly garbage and at that point I might as well write everything myself.

If I steal code and release it with an open source license, that license is not valid. The author released his work open source based on an email from AMD. AMD is now saying that email was not legally binding thus the author did not have the right to release it under and open source license thus that license was not legally valid. If you had forked it and continued to use it, AMD could take you to court and say that the license you are operating under is legally invalid.

if you work in a shared codebase then PLEASE just follow whatever convention they have decided on, for the sake of everyone’s sanity.

That goes without saying; I’m not a barbarian.

“readability” is subjective. much like how there is no objective definition of “clean code”.

Did you not see the part where I said it’s less readable “in my opinion”?

i am insisting that people use a common standard regardless of your opinion on it.

I can read this one of two ways: either you’re making an assertion about what people are currently doing, or you’re telling me/others what to do. In the first case, you’re wrong. I’ve seen many examples of self-closed <br> tags in the open source projects I’ve contributed to and/or read through. In the second case, IDGAF about your opinion. When I contribute to an existing project I’ll do what they do, but if I’m the lead engineer starting a new project I’ll do what I think is the most readable unless the team overwhelmingly opposes me, ‘standards’ be damned, your opinion be damned.

The spec says self-closing is “unnecessary and has no effect of any kind” and “should be used only with caution”. That does not constitute a specification nor a standard - it’s a recommendation. And I don’t find that compelling. I’m not going to be a prima donna. I’m not going to force my opinions on a project I’m contributing to or a team I’m working with, but if I’m the one setting the standards for a project, I’m going to choose the ones that make the most sense to me.

The TL;DR is that you have to exec —privileged and execute dlv attach within the container then tell VSCode to connect. I’ll look up my notes tomorrow and post more details.

Attaching to and debugging a process most certainly does work. I did it yesterday. Your issue is that Go doesn’t have any way of telling the process to pause until a debugger attaches. Which is frustrating but not the same issue.

Specifically for debugging stdin, by far the easiest way to do that (in VSCode) is "console": "integratedTerminal". Another comment links a stack overflow answer that includes other options.

If a spec tells me I should do something that makes my code less readable in my opinion I am going to ignore the spec every time.

AppArmor is part of the kernel. Why does it require patches?