Autocomplete on steroids, but suffering dementia.

Removed by mod

Huh. So they needed to launch an unprovoked invasion of Ukraine to protect themselves from the United States? Make that make sense. Good luck.

Mods, can we please ban RT as a source?

Yep. My TV has not and never will be on the Internet in any way. I picked it for its screen quality, and the fact that it also has “smart” components never even entered into the decision. Because those smart components will literally never do anything.

What that really means is they’ll be vetted for any indications of disliking Trump.

That’s an odd thing to say. For one thing, there are plenty of physical activities that one could get a reasonable description of from ChatGPT, but if you can’t actually do them or understand the steps, you’re gonna have a bad time.

Example: I’ve never seen any evidence that ChatGPT can properly clean and sterilize beakers in an autoclave for a chemical engineering laboratory, even if it can describe the process. If you turned in homework cribbed from ChatGPT and don’t actually know how to do it, your future lab partners aren’t going to be happy that you passed your course by letting ChatGPT do all the work on paper.

There’s also the issue that ChatGPT is frequently wrong. The whole point here is that these cheaters are getting caught because their papers have all the hallmarks of having been written by a large language model, and don’t show any comprehension of the study material by the student.

And finally, if you’re cheating to get a degree in a field you don’t actually want to know anything about… Why?

Why fight against it? Because some of these students will be going into jobs that are life-or-death levels of importance and won’t know how to do what they’re hired to do.

There’s nothing wrong with using a large language model to check your essay for errors and clumsy phrasing. There’s a lot wrong with trying to make it do your homework for you. If you graduate with a degree indicating you know your field, and you don’t actually know your field, you and everyone you work with are going to have a bad time.

Seems like it’s cheaper and more efficient just to pay people to fuck on camera.

Oh my God… The best/worst thing about the idea of AI porn is how AI tends to forget anything that isn’t still on the screen. So now I’m imagining the camera zooming in on someone’s jibblies, then zooming out and now it’s someone else’s jibblies, and the background is completely different.

The trick to using an AI agent effectively is already knowing exactly what you want, typing the request out in excruciating detail, and being a good developer who properly reviews code so you catch all the errors and repetition the AI agent will absolutely include.

So… Yeah. 100% agree. AI agents are useful, but impossible to use if you aren’t already skilled with code.

Well, technically, yes. You’re right. But they’re a specific, narrow type of neural network, while I was thinking of the broader class and more traditional applications, like data analysis. I should have been more specific.

That’s only part of the problem. Yes, JavaScript is a fragmented clusterfuck. Typescript is leagues better, but by no means perfect. Still, that doesn’t explain why the LLM can’t recall that I’m using Yarn while it’s processing the instruction that specifically told it to use Yarn. Or why it tries to start editing code when I tell it not to. Those are still issues that aren’t specific to the language.

But it still manages to fuck it up.

I’ve been experimenting with using Claude’s Sonnet model in Copilot in agent mode for my job, and one of the things that’s become abundantly clear is that it has certain types of behavior that are heavily represented in the model, so it assumes you want that behavior even if you explicitly tell it you don’t.

Say you’re working in a yarn workspaces project, and you instruct Copilot to build and test a new dashboard using an instruction file. You’ll need to include explicit and repeated reminders all throughout the file to use yarn, not NPM, because even though yarn is very popular today, there are so many older examples of using NPM in its model that it’s just going to assume that’s what you actually want - thereby fucking up your codebase.

I’ve also had lots of cases where I tell it I don’t want it to edit any code, just to analyze and explain something that’s there and how to update it… and then I have to stop it from editing code anyway, because halfway through it forgot that I didn’t want edits, just explanations.

I can envision a system where an LLM becomes one part of a reasoning AI, acting as a kind of fuzzy “dataset” that a proper neural network incorporates and reasons with, and the LLM could be kept real-time updated (sort of) with MCP servers that incorporate anything new it learns.

But I don’t think we’re anywhere near there yet.

I would argue that without consistent and enforced type hinting, dynamically typed languages offer very little benefit from type-checking at runtime. And with consistent, enforced type hinting, they might as well be considered actual statically typed languages.

Don’t get me wrong, that’s a good thing. Properly configured Python development environments basically give you both, even if I’m not a fan of the syntax.

Hasn’t been updated since 2018. Does it still work?

Oh, I know you can, but it’s optional and the syntax is kind of weird. I prefer languages that are strongly typed from the ground up and enforce it.

Python is easy, but it can also be infuriating. Every time I use it, I’m reminded how much I loathe the use of whitespace to define blocks, and I really miss the straightforward type annotations of strong, non-dynamically typed languages.

There’s inevitably going to be some rebounding from this. It’s probably true that the large language models these companies are betting their businesses on can do some of the things entry-level grads do, but we’ve already seen several of them fail because their MBAs didn’t realize that just barfing out code is only one part of what developers do.

Source: Am developer, currently working with LLMs and related tech, none of which would be able to get anywhere without someone like me doing the work.