ClikeX

Open Source disputes.

> Chinas national policy is to destroy everyone’s life using espionage, bribery etc . They frame lack of morality as strength.

And that differs from US foreign policy, how?

I just have a tampermonkey profile for go.dev to fix that for me.

Very rarely. But it can come up if you archive change history in git for things that aren't originally tracked in git.

Take laws for example. Legalize[1] is a project that documents all laws into a git structure where each distinct change is a commit with the proper timestamp of tha change. Sure, this specific project builds that entire git history once and it's unlikely a retroactive change required such edits. But do something like this for historical sources where information is still coming in, and you might need to change a date when new findings occur.

[1] https://github.com/legalize-dev/legalize

Dutch men must be terrifying to the people that believe this.

1: https://nowpatient.com/health-news/the-member-measure 2: https://longreads.cbs.nl/nederland-in-cijfers-2021/hoe-lang-...

There's a fetish joke just hiding here.

South Park also had a great episode about it.

https://www.youtube.com/watch?v=81bt0ZJLMas

This one kills me. So many forums, and Reddit in particular, now have people just chiming into topics with ChatGPT answers. It gives them the illusion of being helpful, while they don't really have the knowledge of the subject. But people go to communities to converse with others in the field, and this makes it feel dead internet.

I'm glad most of my colleagues are still doing things themselves. But honestly, if all you can do is tell me what Claude told you and you didn't even bother to read it yourself. Then I might as well just cut you off the team and go use Claude directly.

That’s my point, really. Just a large enough surface that it will show any format the way it was intended.

Vouching for people is not a new concept, right? We do it all the time.

Proof of humanity must be dead dropped at a McDonalds within 25 miles of a legit contributor to verify.

Preferably, I'd have a 4:3 OLED TV or laser projector at a decent enough size that it can just comfortably show all kinds of formats.

My desktop is 21:9, my Macbook and Steamdeck are 16:10, my TV and Nintendo Switch are 16:9, and my iPhone is some weird aspect ratio. So it's not like I'm not used to varying formats. And I actually like it when movies take liberties with the screen format instead of forcing everything into 16:9 just because it's the common TV format.

Claude Code just does this for me. But it might be one of their Superpower skills that I added.

As long as the fine is cheaper than the earnings, they'll keep on doing it. And fines are retroactive, at that point they've already broadcasted to and influenced a bunch of people.

Influencers are required to disclose ads in most places.

No idea if it has a name. But the page source is also not giving me anything useful. And it pains me to even look at it.

People seem to be content with content.

The slower models seem fine for home lab usecases such as processing document transcriptions and tagging them, for example. I don’t need that to be live, it can just churn overnight.

Right? Tech should make my work easier. Not have me stressing out even more.

Let the machine do its work while I relax, I’ll check up on it later.

> Calling AI "just autocomplete" for system architecture is outdated.

I didn't say that, though.

> it would do a better job than any junior dev ever could. Sure, giving context is still necessary, but you can just speak in plain, normal English and it will understand. AI is getting scary good at system design.

Sure. But that's not my point. Don't you still want those juniors to be capable of creating those diagrams? So they can understand them? If the juniors don't get what the AI is outputting, why are you even creating the diagrams in the first place, right?

That's what this topic is about. Just like how calculators helped us do complex tasks, we still needed to understand math. Same with AI, you still need to be understand the topics you ask it to do.

Yeah, essentially. Just the first google hit without checking if it actually fits the use case. Or just throwing you a insanely long article about a topic. Maybe tell me what section it's in, or briefly tell me why it's relevant.

> "Here is a good explanation from <cite to AI> on how this algorithm works. I have verified that this is accurate", and quote the AIs explanation how is that different from the book case?

I mean this is fine really, as long it's clear to me that you've actually done something with the content. And it's okay when I already know you and know that you actually do the research on the topics the LLM retrieves for you. It's much different when you don't know each other and you just get some generated response. I have no clue if you've digested the information and verified it before giving it to me, or just tossed it over the fence.

The big issue I have with it in this thread is things like blog posts and comments that seem straight up copied from the LLM. At that point the blog seems meaningless to me. It's not the author's work, it's ChatGPT or Claude, so why would I bother reading their prompt's output. I go to a blog for their writing, not the LLM.

Similarly, I go to a concert to hear the artists. I would be very uninterested to a see an empty stage and hearing an AI generated "live version" blasting through the speakers.

I feel like you missed the point I was trying to make.

Sure, a teacher framing the necessity of learning math as "you don't always have calculator" is pretty lazy answer that doesn't really get to the point. In my experience, teachers rarely even made this point, students did that tried to argue that Mathematics was pointless when you have calculators.

But my point was that actually knowing these concepts is good for complex reasoning you can do in all aspects of life. Whether you have the calculator with you or not.

> If you were working on a similar project and posted asking questions about it, there is a decent chance I could write a useful answer for you.

But if you do not know the environment, and use AI to create the answers and phrasing. Then you don't really sound like the authority to help me on that particular subject. Why not refer to the authority on the subject instead, or just send the prompts instead so the person on the other end can do their own processing.

If you don't know the answer to something, you don't need to reply. I get the idea of wanting to help people, and it's a nice sentiment. But it's also good to know where your expertise ends.

And the issue with these large generated blog post type things is that I don't know how well the author actually understands the subject. The LLM might've just gotten the right info and and wrote some confident text surrounding it. But it's framed as if the person wrote it. When they might just passing it off as their own. But I don't read blog posts or seek out forums to converse with LLMs, if I wanted that I would've used the LLM myself. Because if it's not the person's own thoughts, what's even the point of communication.

> hen I am reading prose online that I previously would have expected a human to write, it can be quite jarring to realize its an LLM.

Because it just feels lazy. It triggers my "If you couldn't be bothered to write it, why do you expect me to spend my time reading it" allergy.

> I would contend you got the knowledge by typing the code yourself, that there's no other way to get it, and that if you stop typing the code yourself--and the slogging that entails--you'll lose the ability to prompt LLMs effectively.

For sure, and I've tried picking up a new language with the use of LLMs, but the concepts just don't stick because I don't actually do the work. That's why I do try to limit my use of LLMs to fields I'm already closely familiar with, and also keep its output contained to actually reviewable chunks. Or things that are just tedious, like OCR and large text transformations.

> that’s like teachers saying “you won’t always have a calculator

They were right, though. For one, you still need to now what kind of equation to put into the calculator. If you don't know the concepts, what are you going to calculate. Real life situations don't actually spell out neat textbook questions.

And just take a look throughout the day how many quick maths you do subconsciously. Just things like cooking or grocery shopping have tons of moments where you just do the calculation in your head. And you can do that because you've learned how and when to do that.

It's not just a matter of "What if it's inaccessible", but also "Do you want to be dependent on your phone even more". Are just going to walk around with your phone on voice mode narrating your life into your LLM to let it tell you what to do?

The thing with calculator argument that always gets me. I do math unconsciously all the time. Even something as simple as adjusting a recipe when cooking. I don't need to grab a device to do that, I just do the quick math in my head. And the only way I can do that is because I learned how to do math. And even with a calculator, I still needed to know what to calculate. The argument "we don't need math, we have a calculator" assumes you always get a textbook question that lays it out for you.

Same goes for LLMs. I can use them for programming, and they're very convenient. But I still need to know what to ask it and make sure it stays within the confines of what I want. And without my knowledge I would have no clue if what it's trying do is correct, or safe.

Naturally, this assumes a workflow where you do actually look and modify the output yourself. But I'd argue that any non tech person is inevitably going to hit a wall where they can't debug themselves out of without getting a human involved.

Hot take, but Powershell is quite an elegant shell language. It's actually a lot easier to write than Bash.

It took my quite a while to get used to all the verbose method names, but it actually makes it pretty readable by default.

> if you're a Dev you should have a nice laptop with 32-64GB or more, Apple Silicon Max CPU, etc.

Really depends on what you're building, to be honest.