My Belgian Tervuren and I have a basic herding title and about 4 years of herding experience.
The sheep movement is excellent. You could make it even more realistic by having them favor lusher areas and by having one occasionally bolt spastically (hard mode?)
A handler mode where you play as a human and shout commands at the dog could be cool too!
“ can it build a game idea I've had for years, in a single shot?”
Do people do no research or introspection when they’ve had an “idea for years”? There are countless examples of this exact game. I played this on the Gameboy Advance! There’s like 50 of them on the App Store right now.
The standard “this almost certainly exists wholesale in the training data” applies, but I’m also interested in how you carry an idea for years and don’t notice this, or whether the “idea” here was actually “using this thing that’s been remade thousands of times as an AI benchmark”.
There’s nothing wrong with remaking an old classic formula, especially in game dev. It’s the describing it as “an idea I’ve had for years” that rings weird.
While I agree that it isn't revolutionary that it could implement this from a single prompt, what's surprising to see is how well done this one is compared to the other tries. The controls and movement are smooth, the animations aren't jittery, the ui makes sense, there's a clear progression in difficulty. This model clearly "understands" the implementation of this game far better than the others did.
I also realized this, a quick Google search would’ve told me that this game has been made several times before, also way before I ever had this idea. Apparently it’s a pretty obvious game idea.
Ah well, it’s still fun and it does appear to measure how good AI is in creating these kind of games.
I think that's exactly why AI is suited for 99% of stuff we do.
I have pointed out on here before that instances of truly unique human ideas not grounded in nature or previous ideas from others is almost nil, there are not many examples that someone can give me. All human ideas and work is derivative.
Elves? Humans with pointy ears.
Werewolves? Humans mixed with wolves.
Car tyre? Cart wheel...stone wheel/roller.
Etc.
I feel like prior to GenAI, you’d have had to reckon with the true originality of your idea in some form as you did the research. Creatives having to confront their own unoriginality is such a thing it itself is reflected in countless pieces of media.
So it’s interesting to me that the creator here didn’t encounter the tens of physically published versions, or the hundreds of them shipped to digital app stores, or all the codebases on GitHub, in the course of making this. I’m sure they would have done naturally prior to GenAI. Is that good or bad? I don’t know! But it’s interesting to me.
I think it’s impressive that an LLM can take you to a local maxima in one-shot.
But once you start maintaining it, improving it and fixing bugs, you’ll eventually need to rip it apart and put it back together again while understanding how it all works.
This is why I think the better approach isn’t to one-shot but to have the architecture in your head and build it up piece by piece, with the AI accelerating the code writing.
I’ve found it very easy to maintain, add features to and fix bugs in software I’ve written entirely with LLMs, and in languages and frameworks with which I’m unfamiliar. You just ask the LLM to explain the code and then work with it to come up with the fix.
Looks kinda like "Sheepherds" which came out recently.
However as others have pointed out the idea is a common one, probably because many people are exposed to sheep and sheep dogs and farming. Which further reinforces a previous point I made that all human work is derivative and barely anything actually original.
But that's why it doesn't matter! Make that game/app/website that someone else has made before, make your own interpretation! The beauty and uniqueness is in the skin not the flesh!
Not sure if it would've gone to the front page of Hackernews with that title! I was also trying to make a little fun about the drama around Mythos/Fable: Even though Fable did this really well, to me it does not appear to be fundamentally different from other top models.
I wonder if this is the real problem: it was too good, and a lobby of companies feeling threatened by the competition decided to push the jailbreak narrative as a scapegoat.
It instructs me to rotate my phone. The pasture doesn't get any bigger, but now the top bar blocks half the screen. The tooltip about rotating stays in the middle of the screen. Unplayable. There's a music note indicating sound, but I never heard the dog bark.
It's exactly the kind of unpolished slop I expected it to be.
I’ve seen enough videos of real life sheepdogs to know that they would do better than the player here, who seems to put the mouse pointer on errant places the sheepdog would never take. That’s one confused and tired dog displaying learned helplessness.
The sheep movement is excellent. You could make it even more realistic by having them favor lusher areas and by having one occasionally bolt spastically (hard mode?)
A handler mode where you play as a human and shout commands at the dog could be cool too!
Do people do no research or introspection when they’ve had an “idea for years”? There are countless examples of this exact game. I played this on the Gameboy Advance! There’s like 50 of them on the App Store right now.
The standard “this almost certainly exists wholesale in the training data” applies, but I’m also interested in how you carry an idea for years and don’t notice this, or whether the “idea” here was actually “using this thing that’s been remade thousands of times as an AI benchmark”.
There’s nothing wrong with remaking an old classic formula, especially in game dev. It’s the describing it as “an idea I’ve had for years” that rings weird.
Ah well, it’s still fun and it does appear to measure how good AI is in creating these kind of games.
I have pointed out on here before that instances of truly unique human ideas not grounded in nature or previous ideas from others is almost nil, there are not many examples that someone can give me. All human ideas and work is derivative.
Elves? Humans with pointy ears. Werewolves? Humans mixed with wolves. Car tyre? Cart wheel...stone wheel/roller. Etc.
So it’s interesting to me that the creator here didn’t encounter the tens of physically published versions, or the hundreds of them shipped to digital app stores, or all the codebases on GitHub, in the course of making this. I’m sure they would have done naturally prior to GenAI. Is that good or bad? I don’t know! But it’s interesting to me.
But once you start maintaining it, improving it and fixing bugs, you’ll eventually need to rip it apart and put it back together again while understanding how it all works.
This is why I think the better approach isn’t to one-shot but to have the architecture in your head and build it up piece by piece, with the AI accelerating the code writing.
However as others have pointed out the idea is a common one, probably because many people are exposed to sheep and sheep dogs and farming. Which further reinforces a previous point I made that all human work is derivative and barely anything actually original.
But that's why it doesn't matter! Make that game/app/website that someone else has made before, make your own interpretation! The beauty and uniqueness is in the skin not the flesh!
The title could have been just “Shepherd’s Dog: A game by Fable 5”.
https://vnglst.github.io/when-ai-fails/shepards-dog/claude-f...
It instructs me to rotate my phone. The pasture doesn't get any bigger, but now the top bar blocks half the screen. The tooltip about rotating stays in the middle of the screen. Unplayable. There's a music note indicating sound, but I never heard the dog bark.
It's exactly the kind of unpolished slop I expected it to be.
OP is just pushing slop, the 80% part anyone gets for free. (well 20 bucks)
For interest, some shepherds run two dogs, each on a different whistle or voice command pitch.