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Sometimes I wonder if any of this will even matter in a few years. How many of us compile code and then have to clean up the assembly, or even worry about what a compiler generates as long as it's correct?

We are finding out that ram is neither cheap and unlimited.

A great many people do that.

You should post the results of your source code audit.

"Disabling attribution of LLM-generated code is fraud, because you’re saying you wrote the code."

Should there by attribution for Google or Stack Overflow copy/paste? Who should we bully about this?


> Should there by attribution for Google or Stack Overflow copy/paste?

Obviously, and I'm a bit taken aback that anyone thinks otherwise.


Yes, in fact, this is why people who do that are looked down upon.

They are in fact committing fraud if they do not attribute the code in their commit properly, because by committing it they’re claiming to have rights by virtue of authorship that they do not have. (Namely, the right to contribute that code to the project,.) They may also be committing copyright infringement, depending on the copyright and license status of some code they found via Google or Stack Overflow.

It’s always fascinating to me to see how many people on Hacker News have such extremely poor understanding of how intellectual property actually works, and how misrepresenting themselves or their work can actually have consequences.


Are there any court cases you can point to that have clearly established that using LLM generated code can be a copyright violation? My understanding is that this is very far from being settled law.

What cases can you cite that have determined it’s not?

It’s clear on its face that LLMs can and do store and reproduce copyrighted works; using a form of (somewhat) lossy data compression. And using a lossy stochastic or perceptual form of compression to reproduce a copyrighted work doesn’t somehow make it not storage or reproduction, otherwise sharing MP3 files wouldn’t be copyright infringement.

Anyone engaging in responsible risk management should assume that anything LLM-generated is infringing until determined otherwise by the courts, not the other way around.


There are billion-dollar entities preparing to fight this very question out in court as we speak.

Your interpretation of the law is certainly plausible, but it is clearly not a settled question.

If you really are so confident, go bet on Kalshi and make some easy money: https://kalshi.com/markets/kxnytoai/new-york-times-wins-open...


Bluesky is insufferable. Literally any issue in any program is labelled "#vibecoded" by these clearly genius-level engineers who've never shipped a bug.

Well, the AIs are supposed to find and fix the bugs too. So now what's our excuse?

Is it weird that I want a mono version if this? Looks really great, really well designed.

I'm a (currently, at least) big fan of Recursive Mono Casual[0] which I believe I downloaded from Google Fonts[1].

[0] https://www.recursive.design

[1] https://fonts.google.com/specimen/Recursive?preview.script=L...


I use and love this. Not quite the same, and not free, but I think it's beautifully made.

https://tosche.net/fonts/codelia


That's very pretty and readable, thanks for the recommendation! Just switched to it.

Tosche also has a very well made "Comic Code" font with ligatures

I recently came across Annotation Mono which has less of the informality of Shantell Sans, but still has a handwritten feel.

https://qwerasd205.github.io/AnnotationMono/


I was also really hoping for a mino version. I have used comic-sans-inspired monospaced fonts for some time for coding, because I think they are extremely readable. This font is so beautiful, I’d really love to see it in my terminal

whoops “mono” obviously, but past the edit window now

This is a great idea. Even if you're one of those developers squarely focused on getting the final result working, code quality still matters (to people and LLMs).

Everyone should be doing regular code reviews and this helps a lot.


Thanks for the feedback. Really appreciate it


Maybe don't use the most expensive models on the planet? Maybe use AI like a tool and not this black box that grants wishes?


I think companies are reluctantly realizing that AI is not a magic genie in a bottle, and is instead a tool.

Still very valuable. They just need to have strategies that match what the tools are capable of - not strategies that involve "rub the magic lamp and increase profits 80%".

If the market is rewarding companies going after the "rub the lamp" strategy, they're going to say they're doing that to juice stock prices.

Maybe the market is finally realizing blindly spending billions on LLMs with almost no strategy is not a good strategy.

Who knows.


> Still very valuable

You sure about that?

Both labs and tech companies have been desperate to show ROI on LLM use and nobody can seem to


Sounds like you want to be in the next round of layoffs?


But the executives need the fanciest models to evaluate how well they can replace the expensive labor costs.


Low quality, bug laden code has existed long before LLMs and it'll continue to exist long after. Their rationale about avoiding future headaches could literally apply to any open source project they have a dependency on.


The existence of bad code doesn't mean you should be happy to accept it.


Sometimes I step in dog poop. That doesn't mean I want to go to a dog park, find all the poop and roll around in it.


This sounds like a gamechanger for speed and efficiency if it can scale up.

"However, our models are nevertheless relatively small and trained on tiny amounts of instruction examples, compared to the scale of modern instruction data and multiple post-training stages used to reinforce the default message-based format. We do think that parallel streams are a conceptually enticing format, and that future work on a larger scale will go further to show these benefits."


To a lot of people AI is just image and text generation. And yes, these uses alone aren't worth the time, money, and energy.

But there are a lot of areas where AI is helping that people don't see, like in medicine. Drug development, cancer research and early detection, CT and MRI analysis, just to name a few. These uses cases are vastly more important but rarely get discussed. It's important to know that AI isn't this one singular thing or else we risk throwing the baby out with the bathwater.


They do see those use cases. It's not surprising that they focus on the enormous number of other, negative use cases. It's misleading to describe the medical use cases as "more important" - yes, they are, in the same way that healing a person is "more important" than ruining their lives. That's not what you're implying by your usage of the term, though.

A person having a negative attitude about AI doesn't mean that they wouldn't keep the parts that are mostly positive if they could.


> They do see those use cases. It's not surprising that they focus on the enormous number of other, negative use cases. It's misleading to describe the medical use cases as "more important" - yes, they are, in the same way that healing a person is "more important" than ruining their lives. That's not what you're implying by your usage of the term, though.

This comment could just as easily apply to a conversation about computers in general, it's just that people whose lives have been "ruined" by now-established technologies have been largely forgotten by society.


You know, perspective matters. When you sell a knife with the promise of a tool that helps you cut onions, is a completely different story from when you market it as a weapon to kill your neighbor.

AI is massively marketed by AI people as a tool to replace your job. So either the AI people are bad at marketing or the gains in other industry are insignificant/ do not generate shareholder value.


> AI is massively marketed by AI people as a tool to replace your job

Keep in mind who pays the AI companies.

It's not you, it's the C-levels. The marketing is aimed at them.


The problem is, it's not being pushed as just a tool that helps you or your subordinates do your jobs better -- that's nice but not going to generate $Ts in revenue -- but rather as a tool that replaces your subordinates, so your company can increase their quarterly profits -- that's the golden ticket.


“Think of the children!”

When AI produces those meaningful advances in those fields, great, we can start having meaningful discussions about them. The greatest medical advancement of the 21st century is likely mRNA, or maybe GLP-1 for some. Neither were LLM assisted in any meaningful way as far as I know (they predate ChatGPT, perhaps more primitive models were involved in ways I’m not familiar with). Until those advances come, this argument is fanfic.

Plus, in the most morbid way possible: who gives a shit about living longer if they are stripped of their career, are inundated with slop at every angle, and can’t trust any information. These are real problems that AI has already created, unlike the fanfic of ridding cancer.


> Drug development, cancer research and early detection, CT and MRI analysis, just to name a few.

What good are these to someone who will never afford them?

A lot of this talk reminds me of Elysium (2013).


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