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OpenCiv3: Open-source, cross-platform reimagining of Civilization III

https://openciv3.org/
529•klaussilveira•9h ago•146 comments

The Waymo World Model

https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simula...
860•xnx•15h ago•519 comments

How we made geo joins 400× faster with H3 indexes

https://floedb.ai/blog/how-we-made-geo-joins-400-faster-with-h3-indexes
72•matheusalmeida•1d ago•13 comments

Show HN: Look Ma, No Linux: Shell, App Installer, Vi, Cc on ESP32-S3 / BreezyBox

https://github.com/valdanylchuk/breezydemo
180•isitcontent•9h ago•21 comments

Monty: A minimal, secure Python interpreter written in Rust for use by AI

https://github.com/pydantic/monty
182•dmpetrov•10h ago•79 comments

Show HN: I spent 4 years building a UI design tool with only the features I use

https://vecti.com
294•vecti•11h ago•130 comments

Dark Alley Mathematics

https://blog.szczepan.org/blog/three-points/
69•quibono•4d ago•13 comments

Microsoft open-sources LiteBox, a security-focused library OS

https://github.com/microsoft/litebox
343•aktau•16h ago•168 comments

Sheldon Brown's Bicycle Technical Info

https://www.sheldonbrown.com/
338•ostacke•15h ago•90 comments

Hackers (1995) Animated Experience

https://hackers-1995.vercel.app/
434•todsacerdoti•17h ago•226 comments

Show HN: If you lose your memory, how to regain access to your computer?

https://eljojo.github.io/rememory/
237•eljojo•12h ago•147 comments

Delimited Continuations vs. Lwt for Threads

https://mirageos.org/blog/delimcc-vs-lwt
13•romes•4d ago•2 comments

An Update on Heroku

https://www.heroku.com/blog/an-update-on-heroku/
373•lstoll•16h ago•252 comments

Unseen Footage of Atari Battlezone Arcade Cabinet Production

https://arcadeblogger.com/2026/02/02/unseen-footage-of-atari-battlezone-cabinet-production/
6•videotopia•3d ago•0 comments

PC Floppy Copy Protection: Vault Prolok

https://martypc.blogspot.com/2024/09/pc-floppy-copy-protection-vault-prolok.html
41•kmm•4d ago•3 comments

Show HN: ARM64 Android Dev Kit

https://github.com/denuoweb/ARM64-ADK
14•denuoweb•1d ago•2 comments

How to effectively write quality code with AI

https://heidenstedt.org/posts/2026/how-to-effectively-write-quality-code-with-ai/
220•i5heu•12h ago•162 comments

Why I Joined OpenAI

https://www.brendangregg.com/blog/2026-02-07/why-i-joined-openai.html
91•SerCe•5h ago•75 comments

Show HN: R3forth, a ColorForth-inspired language with a tiny VM

https://github.com/phreda4/r3
62•phreda4•9h ago•11 comments

Learning from context is harder than we thought

https://hy.tencent.com/research/100025?langVersion=en
162•limoce•3d ago•82 comments

Introducing the Developer Knowledge API and MCP Server

https://developers.googleblog.com/introducing-the-developer-knowledge-api-and-mcp-server/
38•gfortaine•7h ago•11 comments

I spent 5 years in DevOps – Solutions engineering gave me what I was missing

https://infisical.com/blog/devops-to-solutions-engineering
127•vmatsiiako•14h ago•53 comments

Female Asian Elephant Calf Born at the Smithsonian National Zoo

https://www.si.edu/newsdesk/releases/female-asian-elephant-calf-born-smithsonians-national-zoo-an...
18•gmays•4h ago•2 comments

Understanding Neural Network, Visually

https://visualrambling.space/neural-network/
261•surprisetalk•3d ago•35 comments

I now assume that all ads on Apple news are scams

https://kirkville.com/i-now-assume-that-all-ads-on-apple-news-are-scams/
1029•cdrnsf•19h ago•428 comments

FORTH? Really!?

https://rescrv.net/w/2026/02/06/associative
55•rescrv•17h ago•18 comments

Show HN: Smooth CLI – Token-efficient browser for AI agents

https://docs.smooth.sh/cli/overview
83•antves•1d ago•60 comments

WebView performance significantly slower than PWA

https://issues.chromium.org/issues/40817676
18•denysonique•6h ago•2 comments

Zlob.h 100% POSIX and glibc compatible globbing lib that is faste and better

https://github.com/dmtrKovalenko/zlob
5•neogoose•2h ago•1 comments

I'm going to cure my girlfriend's brain tumor

https://andrewjrod.substack.com/p/im-going-to-cure-my-girlfriends-brain
109•ray__•6h ago•54 comments
Open in hackernews

Procedural Island Generation (III)

https://brashandplucky.com/2025/09/17/procedural-island-generation-iii.html
121•ibobev•4mo ago

Comments

swiftcoder•4mo ago
Very nice writeup. I like the process of adding random noise to the distances on the graph when deriving the mountains
danielvaughn•4mo ago
I'd like to ask a naive question, as I'm not really familiar with procedural terrain generation but I've been curious about it from afar. From what I can tell, most work in this area revolves around manipulating geometric patterns to "look like" mountains/islands/whatever.

Is there any value in modeling geological processes instead? So if you take a flat plane, along with a model of geological forces that could alter that plane, and run some kind of simulation over time (in effect simulating erosion etc), could that not produce a more "realistic" terrain?

I assume it's much more complex, much more computationally expensive, and all that. But I'd be surprised if no one at all has attempted this.

ramses0•4mo ago
There's been a fair number of previous posts which cover that topic:

https://www.google.com/search?q=news.ycombinator.com+procedu...

This one is a particularly useful starting point: https://news.ycombinator.com/item?id=5196154

o11c•4mo ago
Well, the article does mention that Part IV adds erosion. Note also that this particular source is a rare example of working based on a mesh rather than a grid (which complicates the logic - in particular, when do you split/merge nodes? - but should be cheaper at scale).

People can try something fully physics-based (or rather, physics-inspired) even for earlier stages, but there are problems:

* You still need some kind of nondeterministic input so you don't always generate the same world.

* You must do the whole world at once, rather than being able to generate each area independently.

* This requires the computation to run for a long time, and needs to feed back in on itself (think of "lake overflows a natural dam and carves a valley, then the tectonics lift it and change the low point anyway").

* It's very easy for your code to result in "boring" outputs, such as "all flat" or "infinitely deep valleys".

Datagenerator•4mo ago
The amazing science based map for minetest comes to mind:

https://github.com/DokimiCU/mg_tectonic

wiz21c•4mo ago
https://planetside.co.uk/
jauntywundrkind•4mo ago
You might be interested in this read from the procedural generation wiki: teleological vs ontogenic. This style here is ontogenic, teleological involves simulating more of the processes. http://pcg.wikidot.com/pcg-algorithm:teleological-vs-ontogen...

It'd be neat to see a game world where the simulation remains ongoing, where the world is actively changing.

softfalcon•4mo ago
The extremely accurate and high end terrain generation tools do exactly this. They model different terrain densities, erode-ability, and permeability to then apply rain, snow, tectonic shifts, river erosion, thaw-melt, etc over virtualized eons.

The result is incredibly detailed terrain that is completely unique based on the initial parameters and the randomness of the time-elapsed process that is non-deterministic.

The only downside is that it takes hours to simulate and that's more than most folks are interested in investing in.

Here are some examples of this kind of software:

World machine: https://www.world-machine.com/

Terragen: https://planetside.co.uk/

Vue: https://www.bentley.com/software/e-on-software-free-download...

Gaia: https://www.procedural-worlds.com/products/indie/gaia/

skywal_l•4mo ago
As a complement, a nice (and funny) videos about fractal terrain generation: https://www.youtube.com/watch?v=gsJHzBTPG0Y
nla•4mo ago
It's a completely different approach but checkout F. Kenton Musgrave's implementation of multi fractals for terrain generation.

"Texturing & Modeling: A Procedural Approach"

deadbabe•4mo ago
I’m tired of terrain generation techniques that just involves noise.

People should really try to step up and make landforms that are modeled after tectonic activity and create biomes based on weather patterns and ocean current. The end result will be far more natural and realistic.

dylan604•4mo ago
> The end result will be far more natural and realistic.

or infuriating because some small detail is not right causing all of the biomes to die off.

panzagl•4mo ago
In Dwarf Fortress that's called !!fun!!
mcphage•4mo ago
> The end result will be far more natural and realistic.

Sometimes that's what people want, and sometimes they want something they can control more strictly.

amitp•4mo ago
BTW in the next article the author goes into wind, evaporation, orographic rainfall, rivers, biomes. But not ocean current or tectonic activity.

There's a different blog series that does go into plate tectonics: https://frozenfractal.com/blog/2023/11/13/around-the-world-2...

Coincidentally Civ 7 just announced they're using plates with voronoi for their new map generator.

rendaw•4mo ago
Okay I've seen a ton of procedural earth generation blog posts. Random bisections, noise, fractals, erosion, watersheds, biomes and climate derivation, etc etc.

Why did the author of this one choose this approach rather than some other approach? What issues did they see with others that they decided to write their own? What's unique here?

Or maybe: What's the ultimate procedural earth generation technique? Is there anyone following these and comparing them?

kelseyfrog•4mo ago
Procedural generation's history mirrors that of symbolic AI - hand tuned, interpretable procedures that parallel the conceptual models we have of a generating process.

The choices the author made reflect the way they conceptualize the generating process. This is in contrast to a data-informed approach.

A data-informed approach to island generation would be a spatially auto-correlated generating model whose parameters were derived from real life data on islands. You would then be able to generate more in-distribution islands that were statistically similar to islands in the corpus.

You don't often see this in the proc-gen world because part of the fun is adding epicycles and various tunable knobs.

dvt•4mo ago
> Why did the author of this one choose this approach rather than some other approach? What issues did they see with others that they decided to write their own? What's unique here?

I'm not sure what you mean here. A lot (most?) procedural systems use Voronoi methods for procedural terrain generation, so this isn't some wholly novel solution. From what I can tell (haven't looked into it super deeply), it looks like Lloyd's algorithm is basically a variation of random bisections.

mclau157•4mo ago
https://github.com/bsubard/Godot-3D-Infinite-Procedural-Terr...
somewholeother•4mo ago
I remember being blown away by Bryce3d in the 90s. Glad to see the problem of understanding terrain generation is still being explored.