I wonder how long npm/pip etc even makes sense. Dependancies introduce unnecessary LOC and features which are, more and more, just written by LLMs themselves. It is easier to just write the necessary functionality directly. Whether that is more maintainable or not is a bit YMMV at this stage, but I would wager it is improving.
What a bizarre comment. Take something like NumPy - has a hard dependency on BLAS implementations where numerical correctness are highly valued for accuracy and require deep thinking for correct implementation as well as for performance. Written in a different language again for performance so again an LLM would have to implement all of those things. What’s the utility in burning energy to regenerate this all the tim…
ChatGPT Containers can now run bash, pip/npm install packages and download files
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Re: ChatGPT Containers can now run bash, pip/npm install packages and download files
#252I wonder how long npm/pip etc even makes sense. Dependancies introduce unnecessary LOC and features which are, more and more, just written by LLMs themselves. It is easier to just write the necessary functionality directly. Whether that is more maintainable or not is a bit YMMV at this stage, but I would wager it is improving.
You have insane delusions about how capable LLMs are but even assuming its somehow true : downloading deps instead of hallucinating more code saves you on tokens
Re: ChatGPT Containers can now run bash, pip/npm install packages and download files
#253[flagged]
Re: ChatGPT Containers can now run bash, pip/npm install packages and download files
#254I wonder how long npm/pip etc even makes sense. Dependancies introduce unnecessary LOC and features which are, more and more, just written by LLMs themselves. It is easier to just write the necessary functionality directly. Whether that is more maintainable or not is a bit YMMV at this stage, but I would wager it is improving.
I consider packages over 100k download production-tested. Sure LLM can roll some by themselves but if many edge cases to appear, (which may already be handled by public packages) you will need to handle it.
Vanity metrics should not be used for engineering decisions.
Re: ChatGPT Containers can now run bash, pip/npm install packages and download files
#255Earlier quoted context omitted.
> But now that most code is written by LLMs Am I in the Truman show? I don’t think AI has generated even 1% of the code that I run in prod, nor does anyone I respect. Heavily inspired by AI examples, heavily assisted by AI during research sure. Who are these devs that are seeing such great success vibecoding? Vibecoding in prod seems irresponsible at best
I was talking to a product manager a couple weeks ago about this. His response: most managers have been vibecoding for long time. They've just been using engineers instead of LLMs.
Re: ChatGPT Containers can now run bash, pip/npm install packages and download files
#256Earlier quoted context omitted.
At times I wonder why x tui coding agent was written in js/ts/python, why not use Go if it's mostly llm coded anyway? But that's mostly my frustration at having to wait for npm to install a thousand dependencies, instead of one executable plus some config files. There's also support libraries like terminal ui that differ in quality between platforms.
Funny because as a non-Go user, the few Go binaries I've used also installed a bunch of random stuff. This can be fixed in npm if you publish pre-compiled binaries but that has its own problems.
Same goes for rust. Sometime one package implicitly imports other in different version. And look of rustup tree to resolve the issue just doesn't seem very appealing.
Re: ChatGPT Containers can now run bash, pip/npm install packages and download files
#257[flagged]
Then, I witnessed the answers unfolding before my eyes in real time - torrential TV and Web propaganda, warmongering, nationalism and worse of all - total acceptance of the unacceptable in a critically large portion of the country's population. Among the grandchildren of those who fought against the same things at the price of tens of millions of lives. Immediately after the Crimean takeover it was clear to me that there will be war. Many denied this, mocking and calling me a tinfoil hat.
Well, I also always used to wonder who are those morons who allowed the things go south in Terminator, 1984, Matrix, Cat's Cradle and other well-known dystopias, what kind of people they were and what did they think?
It doesn't really matter that these concerns are on the opposite sides of the imaginary axis.
What really matters is this universal drive for digging their own and the next guy's graves in too many people, always finding excuse in saying "if not us, then someone else will do it". And: "The times are different now". And: "So you're comparing AI and fascism?".
Re: ChatGPT Containers can now run bash, pip/npm install packages and download files
#258Earlier quoted context omitted.
That's why the major AI labs are really careful about the code they include in the training runs. The days of indiscriminately scraping every scrap of code on the internet and pumping it all in are long gone, from what I can tell.
Do you have pointers to this? Would be a great resource to understand what works and what doesn't.
Re: ChatGPT Containers can now run bash, pip/npm install packages and download files
#259I wonder how long npm/pip etc even makes sense. Dependancies introduce unnecessary LOC and features which are, more and more, just written by LLMs themselves. It is easier to just write the necessary functionality directly. Whether that is more maintainable or not is a bit YMMV at this stage, but I would wager it is improving.
As long as "don't roll your own crypto" is considered good advice, you'll have at least a few packages/libraries that'll need managing. For a decent number of relatively pedestrian tasks though, I can see it.
Re: ChatGPT Containers can now run bash, pip/npm install packages and download files
#260Earlier quoted context omitted.
> But now that most code is written by LLMs Am I in the Truman show? I don’t think AI has generated even 1% of the code that I run in prod, nor does anyone I respect. Heavily inspired by AI examples, heavily assisted by AI during research sure. Who are these devs that are seeing such great success vibecoding? Vibecoding in prod seems irresponsible at best
I was talking to a product manager a couple weeks ago about this. His response: most managers have been vibecoding for long time. They've just been using engineers instead of LLMs.