If that had never been done, you could arguably prompt your way into something fresh and interesting with a good AI writer.
Not literature, but still a valid choice for the genre.
9,029 karma · joined January 12, 2012
If that had never been done, you could arguably prompt your way into something fresh and interesting with a good AI writer.
Not literature, but still a valid choice for the genre.
But I'm curious about how people will feel when AI writing is good and impossible to differentiate from a decent journalist-level writer, including with tooling. Then what? Are people going to stop reading?
I'm trying to separate the part of the argument related to "this writing is bad" from "this was written by AI".
I personally don't care if AI is a writing instrument for a human who's signing off on the content, as long as the writing is good and the source is legitimate.
Sometimes people just want to make a little money on the side and not conquer the world. If a BSD open source project can help people sell a proprietary product, there's now a new stream of income in the community that could be partially reinvested in the project's core. GPL is excessively ideological and only makes sense for a narrow set of scenarios.
Please note that I'm not against GPL at all. Without it, I don't think we would have Linux and many other projects. What I'm against is promoting GPL to every scenario, which essentially kneecaps the community to protect against a hypothetical greedy large corporate entity.
GPL shouldn't be the default license when someone thinks of open sourcing their project. They should first consider MIT/BSD/etc and only pick GPL for reasons that are specific to that project or industry.
Parents, take note on how childhood experiences influence people for the rest of their lives...
You can interact with AI and say "code me a calculator" or "now declare a array of booleans to map to each of the keys in the UI and set the corresponding array position to true when the key is pressed".
These commands are written in natural language at such different levels of abstraction that is hard to put them in the same bucket. It would be fair to call the latter an imperative language with the LLM in the role of a compiler. That's very similar to how I use AI.
This one was a major factor for me when I escaped from California. I could afford to live there, but my kids would have a hard time following my life path for a number of reasons. I moved to a state where the family as a whole could have a future.
Although that's arguably way superior to AI-style reasoning.
In the vast majority of cases, Asia and SA won't touch your product if you don't have deep familiarity with their markets, their idiosyncrasies and have a competitive business model there. Getting folks in these markets to pay isn't easy, friend.
And that's why we keep having these conversations in English on a US site about products made by US companies.
Additionally, lots of modern games have micro fluctuations in frame rate if you don't have a solid gaming PC. These can make the game feel unresponsive.
Based on HN comments, every company would be running Gentoo and developing line of business applications in Haskell or OCaml.
"Mistral is so bad, it's the only model my school doesn't bother to block"
This looks very interesting. But in the past couple of days I saw at least 5 interesting vibe coded games worth, in theory, spending hours on. There's no way I could consume this amount of content.
Secondly, when I say "looks interesting", I mean that based on graphics and descriptions, it looks promising. Before AI, the visual quality was a great proxy for effort, and we could reasonably assume that the effort was spread around graphics, sound and gameplay. If not equally, gameplay would get at LEAST a bit of attention.
Making good games requires attention to small details. And I have no idea if the author cared about these details at all. Maybe they did, maybe they didn't.
With so many alternatives and the loss of quality proxies, the rational choice is to, unfortunately, pass.
But there's no guarantee that such "low IQ" intermediate steps exist. We do well with many classes of problems because of divide-and-conquer. But not all problems can be solved through divide-and-conquer.
For a rough analogy, see how AI plays chess and intermediate board positions often don't make sense to us. Imagine now an enormous chess-like game played in an enormous chess board where a match lasts longer than a lifetime and none of the intermediate steps make sense to any human.
I remember a recent "100 hundred mathematicians on AI" post recently. Some of them appeared truly excited even if the majority wasn't. Who's right? Who's biased? I don't know.
"Mistral is so bad, it's the only AI my school doesn't bother to block"
I then became a manager because I like mentoring people and using interpersonal skills to achieve things. And I really like using AI for coding.
Please stop this argument that every (or even most) software engineers is an introvert who loves the code typing part of the job.
With such strong human capital, both in quantity and quality, Europe should in theory be competitive with US and China in AI.