

I guess everything is a joke to a clown.


I guess everything is a joke to a clown.


First of all, that’s obviously false. Second of all, go look at unemployment rates in USSR. You literally have no clue regarding the subject you’re attempting to debate here. However, even your whole premise is insane. We shouldn’t strive to do work for the sake of work. Automating toil away so people can spend their lives in a self directed fashion is unarguably a good thing. You’re just arguing for having what David Graeber called bullshit jobs here.


Automation is very obviously not inherently anti-labor. The way automation is used under capitalism is, but I didn’t really expect any deep intellectual insights from you.


Ah yes, automation is anti-labor you are very intelligent.


Yup, a month is a good first checkpoint for a project. People tend to get really excited early on, but then they either get bored and move on, or start running into some hard problems they didn’t anticipate. If somebody can work on a project for a month in sustained fashion, there’s good chance they’re actually using it themselves and will have the motivation to keep going.


It objectively is not as I’ve explained to you in detail. If you think that liberalism is left wing then you don’t understand what any of these words actually mean.


Liberalism consists of two main parts. First is political liberalism which focuses on wholesome ideas used to market the ideology, such as individual freedoms and democracy. Second is economic liberalism which centers around free markets, private property, and wealth accumulation. These two aspects form a contradiction. Political liberalism purports to support everyone’s freedom, while economic liberalism enshrines private property rights as sacred in laws and constitutions, effectively removing them from political debate.
As a result, liberalism justifies the use of state violence to safeguard property rights, over supporting ordinary people, which contradicts the promises of fairness and equality. Private property is seen as a key part of individual freedom under liberalism, and this provides the foundational justification for the rich to keep their wealth while ignoring the needs of everyone else. Thus, the talk of freedom and democracy ends up being nothing more than a fig leaf to provide cover for justifying capitalist relations.


Thank you so much for highlighting a hypothetical problem which only exists in your head. Seems like screeching about anything LLM related has now become the entire identity for some people. Really should find a new hobby.


piefed is a liberal right wing instance lmfao


Using LLMs to vomit out all of your code into one commit is vibecoding. It’s clearly vibecoding when there weren’t even multiple commits. No trial and error, no refinement, just one giant dump.
Yeah, I completely agree there. Just like with regular coding, you have to go slowly, implement functionality in small focused chunks, review, and iterate.
And I’d also wait and see whether the project continues to be maintained before considering it. I just posted it because I thought it was neat, and might be worth watching to see how it develops, not that I’d use it over a more mature option at the moment.
I think we’re actually in complete agreement here.


The exact same way you decide now. You go look at the projects, see which ones have the features you want, then you tend to look at how many users the projects have and how mature they are, and then pick one based on that. Don’t pretend that some thing changed here all of a sudden.


Again, I don’t really see the difference here. Whether the authors continue to maintain the project long or not has little to do with what tools were used to build the project. And calling anything where LLMs are used for development vibecoding is just silly to be honest. There’s a huge variation in quality of code both in hand written code and that where LLMs are used. What you should be looking at in both cases is how much usage project gets, how good the tests are, whether authors built useful things before, and so on.
If a project is useful then I really don’t care how it’s coded. Existing projects are in no way diminished by the fact that this project exists.


I didn’t make it, but I don’t see why people get upset that there are more of these projects out there. Something existing certainly never stopped people from making their own before either.


Yeah, I find it just works and reasonably priced. While local models are pretty competent now, it can do more complex tasks I find.


yeah that’s a perfect analogy actually


Yup, and a massive advantage in the amount of data available by virtue of having a much bigger population.


People really need to stop parroting this line uncritically. The process takes time because even when you’re distilling answers, you still need to actually do reinforcement training on the model. And given that Fable and GPT 5.6 just came out there simply hasn’t been much time to do that. However, models like Kimi also do better than Fable or GPT on a lot of tasks, which means it’s not just distillation but also difference in architecture. You can watch this talk from Kimi founder to see how Kimi was actually trained and why it performs well.
It’s also absolutely hilarious that people think only Chinese companies use distillation, as if Anthropic or OpenAI are above that or something. Not to mention that they basically ignored copyrights on all the data the siphoned and are now crying that people aren’t respecting their terms of use.
The reality is that China tops the world in artificial intelligence publications today. Chinese labs have come up with a bunch of genuine innovations: GRPO, auxiliary loss free MoE load balancing, MLA, muon optimizer, and a bunch of other ones. The Deepseek papers are really well written, this isn’t just sneaking a peek at a peer. Anybody who thinks China is simply distilling glorius American models is not engaging with reality.
This whole narrative has just been a massive cope.
thank you for taking your valuable time away from huffing gas to share your insights with the world little dronie