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

https://openciv3.org/
499•klaussilveira•8h ago•138 comments

The Waymo World Model

https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simula...
836•xnx•13h ago•503 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
53•matheusalmeida•1d ago•10 comments

A century of hair samples proves leaded gas ban worked

https://arstechnica.com/science/2026/02/a-century-of-hair-samples-proves-leaded-gas-ban-worked/
110•jnord•4d ago•18 comments

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

https://github.com/pydantic/monty
164•dmpetrov•8h ago•76 comments

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

https://github.com/valdanylchuk/breezydemo
166•isitcontent•8h ago•18 comments

Dark Alley Mathematics

https://blog.szczepan.org/blog/three-points/
59•quibono•4d ago•10 comments

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

https://vecti.com
279•vecti•10h ago•127 comments

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

https://github.com/microsoft/litebox
339•aktau•14h ago•163 comments

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

https://eljojo.github.io/rememory/
222•eljojo•11h ago•139 comments

Sheldon Brown's Bicycle Technical Info

https://www.sheldonbrown.com/
332•ostacke•14h ago•89 comments

Hackers (1995) Animated Experience

https://hackers-1995.vercel.app/
421•todsacerdoti•16h ago•221 comments

PC Floppy Copy Protection: Vault Prolok

https://martypc.blogspot.com/2024/09/pc-floppy-copy-protection-vault-prolok.html
34•kmm•4d ago•2 comments

Show HN: ARM64 Android Dev Kit

https://github.com/denuoweb/ARM64-ADK
11•denuoweb•1d ago•0 comments

An Update on Heroku

https://www.heroku.com/blog/an-update-on-heroku/
360•lstoll•14h ago•248 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...
15•gmays•3h ago•2 comments

Delimited Continuations vs. Lwt for Threads

https://mirageos.org/blog/delimcc-vs-lwt
9•romes•4d ago•1 comments

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

https://github.com/phreda4/r3
58•phreda4•8h ago•9 comments

How to effectively write quality code with AI

https://heidenstedt.org/posts/2026/how-to-effectively-write-quality-code-with-ai/
209•i5heu•11h ago•156 comments

Introducing the Developer Knowledge API and MCP Server

https://developers.googleblog.com/introducing-the-developer-knowledge-api-and-mcp-server/
33•gfortaine•6h ago•8 comments

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

https://infisical.com/blog/devops-to-solutions-engineering
121•vmatsiiako•13h ago•51 comments

Learning from context is harder than we thought

https://hy.tencent.com/research/100025?langVersion=en
159•limoce•3d ago•80 comments

Understanding Neural Network, Visually

https://visualrambling.space/neural-network/
257•surprisetalk•3d ago•33 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/
1013•cdrnsf•17h ago•422 comments

FORTH? Really!?

https://rescrv.net/w/2026/02/06/associative
51•rescrv•16h ago•17 comments

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

https://andrewjrod.substack.com/p/im-going-to-cure-my-girlfriends-brain
93•ray__•5h ago•43 comments

Evaluating and mitigating the growing risk of LLM-discovered 0-days

https://red.anthropic.com/2026/zero-days/
44•lebovic•1d ago•12 comments

WebView performance significantly slower than PWA

https://issues.chromium.org/issues/40817676
10•denysonique•5h ago•0 comments

How virtual textures work

https://www.shlom.dev/articles/how-virtual-textures-really-work/
35•betamark•15h ago•29 comments

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

https://docs.smooth.sh/cli/overview
81•antves•1d ago•59 comments
Open in hackernews

Stargate and the AI Industrial Revolution

https://davefriedman.substack.com/p/stargate-and-the-ai-industrial-revolution
21•mhb•8mo ago

Comments

djoldman•8mo ago
> The implication is stark: models won’t be moats. Infrastructure will.

I think the jury's still out on this one.

Infrastructure size has always been a type of moat, models may become moats, and apps (or how the models are used) may become moats.

timewizard•8mo ago
Infrastructure is a liability. Obfuscation and/or licensing is the moat.
groby_b•8mo ago
While that's a great slogan: The infra you need to create and update models dwarfs inference infra. Without that liability, you won't get a working model.

No, the infra itself isn't the moat. Being in an economic position that allows you to expend the resources necessary to run training is one, though. And the cost & speed advantages you realize from utilizing scale (and economies thereof) locally instead of renting means you'll have infra as a signifier of that economic advantage.

And at that point, the additional inference infra is cost-efficient enough that you might as well just have it too, because it's both profit and a better barrier than obfuscation or licensing.

jay_kyburz•8mo ago
In theory you need the infra V1 to help you design an improve infra v2, and so on and so on. This is a race, not fortification building.

Looking for moats makes sense in a commercial world. I thought the point of the article was that this time its different. You don't need a moat to prevent competitors moving into your market. Nation states are building their own castles, regardless of cost or business case.

groby_b•8mo ago
This time is, as every single time before, not actually different. The singularity has no calendar appointment for end of 2027, and businesses still care about making money, and will for the foreseeable future.
jay_kyburz•8mo ago
Nation states with endless pockets are committing to winning the AI arms race.

Business tasked with winning the race will make heaps of money, and everyday people and companies won't be choosing whether or not AI is worth it, we'll be paying with our taxes regardless.

I don;t think the Manhattan Project was business as usual, and I suspect this will be similar.

gotts•8mo ago
Obfuscation of what?
lumost•8mo ago
There is always a platform/complexity moat. Eventually the costs to build exceed reasonable startup costs. Were starting to see this in leading vendors where so many different things are done well that it would be difficult to replicate.
VirusNewbie•8mo ago
I don't agree "models won't be moats"

If that's true, we'd at least see meta having a SoTa foundational model, and they haven't put one out.

Nor has Microsoft, who would probably love to have some leverage against the OpenAI weird relationship they're in.

mhb•8mo ago
Doesn't really seem like a situation where a defensive moat is the appropriate metaphor. This is a winner-take-all effort. What's the likelihood that it is and how much investment does that justify? It isn't that far-fetched that a reasonable argument could be made for a very, very large investment.
gwern•8mo ago
On a stylistic note, I was surprised to see David Friedman letting ChatGPT write his posts when he is a perfectly competent writer himself, and then I realized this is Dave Friedman. Turns out to be rather different!
AnotherGoodName•8mo ago
Airlines have multi-billion dollar moats and are constantly on the verge of bankruptcy. If the end user can choose a competitor with near enough performance then it's just a race to the bottom with huge debts and no margins.

I can see moats in AI. Namely when i see an AI company with hard to replicate trained model weights to accomplish a specific task i see a fantastic moat. But $500million in infrastructure? That's just a big airline.

southernplaces7•8mo ago
>But $500million in infrastructure? That's just a big airline.

Have I got news for you, it's $500 billion actually.. One hell of a gigantic failing airline we're talking about.

KasianFranks•8mo ago
Unique specialized high-value hard-to-duplicate data and datasets will be frontline moats and provide new competitive edges.
alephnerd•8mo ago
Ugh, I hate hate hate these kinds of polemics.

All this hype around what is basically a data center PLI and a low-moat foundation model company is going to screw our industry over the same way the Telco Bust (remember WorldCom???) did back in the 2000s.

ML/AI is transformative, but the costs to develop and GTM a foundational model are not significant enough of a moat, nor is DC capex a significant moat either, becuase it becomes a commercial real estate play that can demand tech margins. CoreWeave's IPO before the debt offering proves the market softening as well.

The national strategy portion is off as well. Some major players have been ignored and others overstated.

smodo•8mo ago
Prose like an adventure novel, content like a space opera. Lots of overconfident crystal ball gazing. Yep, must be a “future of AI” piece.
alextingle•8mo ago
This is all going to be hilarious when the inevitable AI crash happens. Somebody will pick up all of this infrastructure for pennies, and eventually it will come into its own years later. Just like the fibre rollouts of yesteryear.
xnx•8mo ago
Power efficiency is the hardest thing to copy. If you're running Nvidia chips, you're going to have a hard time competing with Google.