programd (u/programd)

programd commented on The Minecraft Code (2024) [video] youtube.com/watch?v=nz2Le... · Posted by u/zichy

astrobe_ · 3 days ago

It is strange to me that people obsess on programming in-game with "red stone" etc. That said I am dayjob programmer so the last thing I want to do on my free time and is to program stuff.

I made a game that uses the Luanti "voxel" engine (MC-likes games of course, but also transposition of other genres), and even programming that is bit of a chore but that's the price to pay to play the game you want to play (there's much more to that than just programming/modding; game design is a rabbit hole).

But I think that it would be more rewarding for those who are curious about programming to start modding, especially in Luanti because it is relatively well documented and it's Lua. In a way, making it rain with the programmable particle spawner the engine provides is a loot box locked by an API, with hints on how to open it in the docs ;-)

programd · 3 days ago

> game design is a rabbit hole

Game engine design is a rabbit hole :)

Game design is the ultimate lockbox - you're unlocking an entire imaginary world which has some platonic existance in your mind.

And since you mentioned Luanti, it deserves to be much better known as a credible open alternative to Minecraft. You could do a lot worse then designing/prototyping your game with Luanti as the game engine.

https://www.luanti.org/

programd commented on Mirage 2 – Generative World Engine demo.dynamicslab.ai/chaos... · Posted by u/selimonder

mrec · 3 days ago

I was mildly amused (but not especially surprised) to see that the "Hunter's Vale" initial image includes what's pretty clearly a partial Skyrim HUD compass at the top.

programd · 3 days ago

The styles of Cyberpunk 2077 and Red Dead Redemption 2 are also dead givaways about their training data. There might also be a whiff of the Witcher 4 demo in one sequence.

The interesting possibility is that all you may need for the setting of a future AAA game is just a small bit of the environment to nail down the art direction. Then you can dispense with the army of workers to place 3D models on the map in just the right arrangment to create a level. The AI model can extrapolate it all for you.

Clearly the days of fiddly level creation with a million inscrutable options and checkboxes in something like Unreal, or Unity, or Godot editors are numbered. You just say what you want and how you want to tweak it, and all those checkboxes and menus are disposable. As a bonus that's a huge barrier to entry torn down for amateur game makers.

programd commented on Mirrorshades: The Cyberpunk Anthology (1986) rudyrucker.com/mirrorshad... · Posted by u/keepamovin

loudmax · 5 days ago

I must be a few years older than you are. It was the original Cyberpunk (set in 2013, published in 1988) that did it for me.

One of the things I remember about the game was that it came with a suggested book and film list. Reading all those books, and tracking down the recommended films was something of a quest for me and my friends. That last part sounds trivial, but if your local video rental store didn't happen to have a copy of 1982's art-house weirdo indie film Liquid Sky, it was a real challenge.

programd · 5 days ago

Liquid Sky soundtrack:

https://www.youtube.com/watch?v=T5UxwohjhHw&list=PL9F0ACA601...

Synth genius. I actually have it on vinyl.

programd commented on Why LLMs can't really build software zed.dev/blog/why-llms-can... · Posted by u/srid

Night_Thastus · 11 days ago

The difference is that the weaknesses of cars were problems of engineering, and some of infrastructure. Both aren't very hard to solve, though they take time. The fundamental way cars operated worked and just needed revision, sanding off rough edges.

LLMs are not like this. The fundamental way they operate, the core of their design is faulty. They don't understand rules or knowledge. They can't, despite marketing, really reason. They can't learn with each interaction. They don't understand what they write.

All they do is spit out the most likely text to follow some other text based on probability. For casual discussion about well-written topics, that's more than good enough. But for unique problems in a non-English language, it struggles. It always will. It doesn't matter how big you make the model.

They're great for writing boilerplate that has been written a million times with different variations - which can save programmers a LOT of time. The moment you hand them anything more complex it's asking for disaster.

programd · 11 days ago

> [LLMs] spit out the most likely text to follow some other text based on probability.

Modern coding AI models are not just probability crunching transformers. They haven't been just that for some time. In current coding models the transformer bit is just one part of what is really an expert system. The complete package includes things like highly curated training data, specialized tokenizers, pre and post training regimens, guardrails, optimized system prompts etc, all tuned to coding. Put it all together and you get one shot performance on generating the type of code that was unthinkable even a year ago.

The point is that the entire expert system is getting better at a rapid pace and the probability bit is just one part of it. The complexity frontier for code generation keeps moving and there's still a lot of low hanging fruit to be had in pushing it forward.

> They're great for writing boilerplate that has been written a million times with different variations

That's >90% of all code in the wild. Probably more. We have three quarters of a century of code in our history so there is very little that's original anymore. Maybe original to the human coder fresh out of school, but the models have all this history to draw upon. So if the models produce the boilerplate reliably then human toil in writing if/then statements is at an end. Kind of like - barring the occasional mad genious [0] - the vast majority of coders don't write assembly to create a website anymore.

[0] https://asm32.info/index.cgi?page=content/0_MiniMagAsm/index...

programd commented on Ask HN: Freelancer? Seeking freelancer? (August 2025) · Posted by u/whoishiring

programd · 21 days ago

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At minimum I can help you develop your back end infrastructure from the ground up. Basically I offer development of back-end componenets you can slot into your Kubernetes or Docker environment from day one.

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programd commented on François Chollet: The Arc Prize and How We Get to AGI [video] youtube.com/watch?v=5QcCe... · Posted by u/sandslash

staunton · 2 months ago

> you can always detect the AI by text and timing patterns

I see no reason why an AI couldn't be trained on human data to fake all of that.

If noone has bothered so far, that's because pretty much all commercial applications of this would be illegal or at least leading to major reputational damage when exposed.

programd · 2 months ago

You may want to look at this: A foundation model to predict and capture human cognition

https://www.nature.com/articles/s41586-025-09215-4

programd commented on What would a Kubernetes 2.0 look like matduggan.com/what-would-... · Posted by u/Bogdanp

herval · 2 months ago

yep, that's the latest of a long lineage of such projects (one of which I worked on myself). Ohers include kubero, dokku, porter, kr0, etc. There was a moment back in 2019 where every big tech company was trying to roll out their own K8s DSL (I know of Twitter, Airbnb, WeWork, etc).

For me, the only thing that really changed was LLMs - chatgpt is exceptional at understanding and generating valid k8s configs (much more accurately than it can do coding). It's still complex, but it feels I have a second brain to look at it now

programd · 2 months ago

Maybe that should be the future of K8s 2.0. Instead of changing the core of the beast tweak it minimally to get rid of whatever limitations are annoying and instead allocate resources to put a hefty AI in front of it so that human toil is reduced.

At some point you won't need a fully dedicated ops team. I think a lot of people in this discussion are oblivious to where this is heading.