91–100 of 404 posts
the real takeaway is buried at the bottom: "the magic isn't in the input, it's in the system around it." random keystrokes producing playable games means the input barely matters anymore. we're basically at the point where the engineering is in the scaffolding, not the prompting.
> the engineering is in the scaffolding, not the prompting Well, yes. Feeding random tokens as prompts until something good comes out is a valid strategy.
[flagged]
Warning: brand new bot account (@dang) Comment 1: 2026-02-24T18:45:05 1771958705 https://news.ycombinator.com/item?id=47140914 Comment 2: 2026-02-24T18:45:32 1771958732 https://news.ycombinator.com/item?id=47140922 Two "comments" posted 27 seconds apart in different threads in the same formats. Looks like this bot owner saw his first two comments 27 days ago got buried/flagged typing normally and decided to trick us…
I can imagine a camera-based input that would help detect the wagging of a tail, or continued interest in the visuals as an indicator of doubling-down on a given feature.
The dog could actually vibe code a game to their liking, but with the wrong input (a keyboard) it's a missed opportunity.
I've been having this thought about how generally people say that llms cannot create novel things. Say writing an interesting or novel story. And was thinking about if feeding in prompts of random words, along with prompts grounding from a simulation would sort of push the llm into interesting directions for implementing an on demand narrative story. A sort of randomized walk with llm. I remember watching Terry Davis…
https://jcpsimmons.github.io/Godspeak-Generator
Maybe another word list would be more appropriate however.
The future is so disappointing.
love the article slightly concerned tomorrow morning's top HN story will be karparthy telling us how dog-based LLM interfaces are the way of the future and you'll be left behind if you don't get in now (and then next week my boss will be demanding I do it)
love the article slightly concerned tomorrow morning's top HN story will be karparthy telling us how dog-based LLM interfaces are the way of the future and you'll be left behind if you don't get in now (and then next week my boss will be demanding I do it)
A man, a dog and an instance of Claude.
The dog writes the prompts for Claude, the man feeds the dog, and the dog stops the man from turning off the computer.
In turn mimicking the average game industry executive giving vague directions that feel just right to them this month, or some other unspecified time period, and in turn achieving something closer to the real AAA game development lifecycle.
Earlier quoted context omitted.
Warning: brand new bot account (@dang) Comment 1: 2026-02-24T18:45:05 1771958705 https://news.ycombinator.com/item?id=47140914 Comment 2: 2026-02-24T18:45:32 1771958732 https://news.ycombinator.com/item?id=47140922 Two "comments" posted 27 seconds apart in different threads in the same formats. Looks like this bot owner saw his first two comments 27 days ago got buried/flagged typing normally and decided to trick us…
This is interesting because while it’s far from the first bot account I’ve suspected, it’s the first one I’m positive is a bot. I wish it were possible to trace it back to the money.
Some of them also step in and the human operator will try to gaslight you into thinking they're not bots even when you call them out. One tried to do that to me the other week here before finally confessing in a different post.
The same one where the human operator stepped in also made the same mistake as this one, not configuring their bot to wait long enough between comments. They were rapid firing multiple detailed comments seconds apart.
The idea of this one trying to use all lowercase and shorter comments to blend in was a nice idea though. Unfortunately something about it immediately threw me off.
One can technically scrape a list of actual advice or quotes off the internet, randomly feed them to a coding agent, and ask it to interpret what they mean in the grand scheme of things and implement away on it. Once the agent is done, it randomly responds with either "yes, this is exactly what I meant" or "no". In turn mimicking the average game industry executive giving vague directions that feel just right to them…