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RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
1•oxxoxoxooo•1m ago•0 comments

Show HN: Invoxo – Invoicing with automatic EU VAT for cross-border services

1•InvoxoEU•2m ago•0 comments

A Tale of Two Standards, POSIX and Win32 (2005)

https://www.samba.org/samba/news/articles/low_point/tale_two_stds_os2.html
1•goranmoomin•5m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

2•throwaw12•6m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•8m ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
1•myk-e•11m ago•0 comments

Goldman Sachs taps Anthropic's Claude to automate accounting, compliance roles

https://www.cnbc.com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html
2•myk-e•13m ago•3 comments

Ai.com bought by Crypto.com founder for $70M in biggest-ever website name deal

https://www.ft.com/content/83488628-8dfd-4060-a7b0-71b1bb012785
1•1vuio0pswjnm7•14m ago•1 comments

Big Tech's AI Push Is Costing More Than the Moon Landing

https://www.wsj.com/tech/ai/ai-spending-tech-companies-compared-02b90046
1•1vuio0pswjnm7•16m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
1•1vuio0pswjnm7•18m ago•0 comments

Suno, AI Music, and the Bad Future [video]

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•20m ago•1 comments

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•23m ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

https://spawn-queue.acm.org/doi/10.1145/3786614
1•devooops•27m ago•0 comments

Watermark API – $0.01/image, 10x cheaper than Cloudinary

https://api-production-caa8.up.railway.app/docs
1•lembergs•29m ago•1 comments

Now send your marketing campaigns directly from ChatGPT

https://www.mail-o-mail.com/
1•avallark•33m ago•1 comments

Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•45m ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
5•o8vm•46m ago•1 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•47m ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•1h ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•1h ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
2•helloplanets•1h ago•0 comments

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•1h ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•1h ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•1h ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•1h ago•0 comments

Sony BMG copy protection rootkit scandal

https://en.wikipedia.org/wiki/Sony_BMG_copy_protection_rootkit_scandal
2•basilikum•1h ago•0 comments

The Future of Systems

https://novlabs.ai/mission/
2•tekbog•1h ago•1 comments

NASA now allowing astronauts to bring their smartphones on space missions

https://twitter.com/NASAAdmin/status/2019259382962307393
2•gbugniot•1h ago•0 comments

Claude Code Is the Inflection Point

https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point
4•throwaw12•1h ago•3 comments

Show HN: MicroClaw – Agentic AI Assistant for Telegram, Built in Rust

https://github.com/microclaw/microclaw
1•everettjf•1h ago•2 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.