fullstackchris

Not OP but maintainer of an .io site... So you're telling me even though I pay yearly ICANN fees they can just remove .io without any warning or alternative? Or whats the "real" issue here?

Strongly agree. Wordpress brags as powering whatever % of the internet... but if youve ever taken a look at some of that PHP source code... yikes

Mind boggling to me such an overly complex system has such a large market share.

I'll take my Gatsby TypeScript React components / <<insert your favorite static site generator here>> any day

> a gigantic monologue in the middle

So just because you can't think of another book that has this, it's not well written?

idk I'm no follower of objectivism but Atlas Shrugged is a book you definitely dont forget... and in my classification that makes it good

> more than two hours outside of work

but that 8-10 of work screen? can't be bad! smh

Ask the same to Tesla which has a 700B+ valuation, earlier over 1T. Like it or not, company valuations are about stories, not facts.

Honestly OP sounds like a troll I can't imagine it would just go on a tangent like that. From my demo I was struggling actually to get anything of quality in the responses. A lot of repeating what I said.

While interesting, this still can't account for domain expertise and system design decisions - you can't assume every character / line / function / method typed is just "correct" and exactly what you'll need. There are 1000s of ways to do both the wrong and right thing in software.

The real problem always comes back to the fact that the LLM cant just make code appear out of nowhere, it needs _your_ prompt (or at least code in the context window) to know what code to write. If you can't exactly describe the requirements - or what is increasingly happening - _know_ the actual technical descriptions for what you are trying to accomplish, its kinda like having a giant hammer with no nail to hit. I'm worried of a sort of future where we sort of program ourselves into a circle, all programs starting to look the same simply because the original "hardcore" or "forgotten" patterns and strategies of software design "just don't need to be taught anymore". In other words, people getting things to work but having no idea how they work. Yes I get the whole "most people dont know how cars work but use them", but as a software engineer not really knowing how the actual source code itself works? It feels strange and probably ultimately the wrong direction.

I also think the entire idea of a fully automated feature build / test / deploy AI system is just impossible... the complexity of such a landscape is just too large to automate with some sort of token generator. AGI, if course, but LLMs are so far from AGI it's laughable.

I'm working on a framework to convert code into video, with a focus on helping creators and software educators. Ultimate goal is that you could automate nearly any educational coding video you could think of. Stretch goal is to fine tune an AI so that a step by step video could be generated from a blog post, book chapter, etc.

https://codevideo.io

also see fframes https://fframes.studio/ - not mine but similar "declarative code to video" framework

OP here, I think this was just an absolute terrible choice for Python to make, especially when nearly all other package manager systems of all other languages allow for somehow a relatively 'safe' global installation of packages on a device.

Happy to hear reasons why Python made the "right" decision here, though.

but the actual manually digging is not - reading the paper is, and the faster you can get some 10-20 papers, the better off you are

both buyers and sellers determine the price... thats kind of the definition of market

To be fair, in the true git sense, if a "fork" is really just a branch, deleting the original completely would also mean deleting every branch (fork) completely

obviously not a fan of this policy though

4 billion dollar+ outage... $10 at a time (joy emoji) (clown emoji)

As far as I remember, the caldera erupting is not an extinction level event (for humans at least)... would be bad for sure, but southern hemisphere would manage I think

And this is exactly the problem. Being a software engineer is 1000 things more than just rote memorizing some toy problem that solves exactly 1 single toy use case.

I find the second group more often than not so pendantically afraid of building something even a few lines of any sort of "anti pattern" that when they meet the messy qualities of reality they fail to build anything, or at least take 20x as long as the first group.

"everyday stuff like log parsing"

Unless youre talking about using tail / grepping some linux logs I've never done this once let alone on a daily basis...

But if needed frankly I would look up any needed regex / pattern for this on the job and on the fly. The topic of "log parsing" is massive anyway. What types of logs? Is this something like request logs from NGINX? Custom stderr / stdout from some cron job? Some sort of horrible XML based system dump? I could go on and on...

When you know the solution already of course its obvious.

Things like these are rote memorized solutions that fill what could otherwise be useful problem solving or software knowledge space in my brain.

They're dumb.

same... also that saying "churning out 1k lines of code per day" is automatically good... sounds like churning out 1k points of complexity every day

Don't know why you are being downvoted... I've noticed that this whole asteroid mining (or really mining of any extraterrestrial body at all for that matter) has almost reached meme levels of hysteria here on hackernews... I too don't understand it.

Would you currently recommend Remix over Next.JS? I just started a Next.JS project (trying it as a long time Gatsby user) but am worried about what I am reading here.

what i was thinking as well... i love these performance improvement posts but at the same time had to think what kind of choice was it to originally reach for python in the first place if the task was to do a lot of heavy concurrent task management???

very curious question to the author here: how is this different than the "gig" or "expert" economy thats offered from places like upwork and fiverr? these are technically all "services" offered by various people, but often feels like a race to the bottom (lowest price wins)

and nvidia has the need for compute in general behind it, which i dont see going away anytime soon

sounds like every AGI huckster out there vs those who have been in the weeds with ML / NLP since 2010s

but yes AGI will be here in 2 years... if only I was an expert and could know this for sure!!! :D

> AI trends started in group chats

what? the current LLM tech is a product of 50+ years of NLP and ML research... it didnt just pop out of group chats somewhere

Way out of my wheelhouse but after reading this it leads me to believe "heal machines" like in elysium and other scifi movies may not be that much scifi after all.... block an ion channel here, send a signal there... poof, your arm is back!

isnt this the whole point of what rust is trying to accomplish? i havent yet worked with rust but from what i hear they make it very hard (impossible?) to have memory issues and things like deadlocks. sounds great in theory but no idea if this is the reality of using it

> ChatGPT took off on Word of Mouth alone.

I remember for a good 2-3 months in 2023 ALL you could see on tiktok / youtube shorts was just garbage about 'how amazing' ChatGPT was. Like - video after video and I was surprised of the repeat content being recommended to me... No doubt openAI (or something) was behind that huge marketing push

Sure, all tech has 'real' effects. It's kinda the definition of tech. But all of these concerns more or less fall into the category of "add it to the list of things you have to watch out for living in the 21st century" - to me, this is nothing crazy (yet)

The nature of this tech itself is probably what is getting most people - it looks, sounds and feels _human_ - it's very relatable and easy for a non-tech person to understand it and thus get creeped out. I'd argue there are _far_ more dangerous technologies out there, but no one notices and / or cares because they don't understand the tech in the first place!