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Show HN: I built Divvy to split restaurant bills from a photo

https://divvyai.app/
1•pieterdy•1m ago•0 comments

Hot Reloading in Rust? Subsecond and Dioxus to the Rescue

https://codethoughts.io/posts/2026-02-07-rust-hot-reloading/
1•Tehnix•1m ago•0 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
1•haizzz•3m ago•1 comments

Show HN: Open-source AI assistant for interview reasoning

https://github.com/evinjohnn/natively-cluely-ai-assistant
1•Nive11•3m ago•1 comments

Tech Edge: A Living Playbook for America's Technology Long Game

https://csis-website-prod.s3.amazonaws.com/s3fs-public/2026-01/260120_EST_Tech_Edge_0.pdf?Version...
1•hunglee2•7m ago•0 comments

Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
1•chartscout•9m ago•0 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
2•AlexeyBrin•12m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
1•machielrey•13m ago•1 comments

Monzo wrongly denied refunds to fraud and scam victims

https://www.theguardian.com/money/2026/feb/07/monzo-natwest-hsbc-refunds-fraud-scam-fos-ombudsman
3•tablets•18m ago•0 comments

They were drawn to Korea with dreams of K-pop stardom – but then let down

https://www.bbc.com/news/articles/cvgnq9rwyqno
2•breve•20m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•23m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
2•pastage•23m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
2•billiob•24m ago•0 comments

Reverse Engineering Medium.com's Editor: How Copy, Paste, and Images Work

https://app.writtte.com/read/gP0H6W5
2•birdculture•29m ago•0 comments

Go 1.22, SQLite, and Next.js: The "Boring" Back End

https://mohammedeabdelaziz.github.io/articles/go-next-pt-2
1•mohammede•35m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•36m ago•1 comments

Slop News - HN front page right now as AI slop

https://slop-news.pages.dev/slop-news
1•keepamovin•41m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•43m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
3•tosh•49m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
4•oxxoxoxooo•52m ago•1 comments

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

2•InvoxoEU•53m 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
3•goranmoomin•56m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•57m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•59m 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•1h 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
4•myk-e•1h ago•5 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•1h 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
5•1vuio0pswjnm7•1h ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
4•1vuio0pswjnm7•1h ago•0 comments

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

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•1h ago•2 comments
Open in hackernews

AI Californication

7•shoman3003•2w ago
I am not American, I come from a whole other culture that is the opposite of what the West is all about. Not saying that to antagonize you, but to say that as an outsider I can somewhat see how much the culture of California has impacted the worldview of most people over the past 50 year! But what is to come is even more impactful, either good or bad ..... it will result in much much less limitations to thought patterns.

It started with Hollywood of course, which made the other third of the planet that was not influenced by the British start thinking in english, which limits ideas that can be thought of. Ideas come from word, language is the month of thinking (I started thinking in english ~2010).

Then in the last 10 years where social media have made it even harder to escape the thought patterns that were made in SF, even with someone like me who spent 30 year in a closed off culture is starting to think more and more in American phrases- sometimes its hard to break that loop, I am starting to forget the old ways of thinking and looking at the world.

Still, all of that can be good. Ideas of feminism and tolerance of queer people are very good in general. But now with Ai modules that are unable to escape the brainwave of a California leftist, I fear for the intellectual future of the world (scientific too, since both are correlated). Even deepseek is more or less like the other models, its very hard to get it to look at things in a different way, or even debate basic stuff as an entity that lived a lifetime under socialism would look at things. My own culture is dying, so the probability that Ai would even understand our thinking pattern is slim (considering that much of it is not digitalized even).

20 years ago, I would look around my home and see so many unique things that represent my culture, and I would talk to so many people who never heard of Sinatra or watched a sitcom. Yesterday I looked around, only 1 item in the entire house is authentic, and lately i find many people speaking decent english & talking about how "woke" the world has gotten!

I spend a couple of months trying to prompt chatgpt & grok to debate various topic from a different worldview that is repeated all day in my head. But it can't, not because of any limitation on the module itself, but because it never got deep enough into that worldview to know what the hell is it about (sometimes it deliberately try not to).

I am not saying all of this to say that I hate the West, I experienced the ugliness of the East & I know how awful it is. I am just saying that LLMs are very limiting - if we feed it the same data every time, it's going to be more or less the same every time too. Doesn't matter where you got the data, if its in english from the upperlevel of the internet, its basically the same.

Comments

wosined•2w ago
You cannot expect the West to make stuff for the East. They make stuff for themselves. You can do the same.
ensocode•2w ago
Interesting thought, thanks. So what would we need? What if everyone effectively had a permanent microphone — via smartphones, smart speakers, cars, wearables — and all of that lived, spoken, emotionally charged data were fed into future LLMs?

On the surface, that sounds like a path toward richer models: less elite-written text, more everyday language, more non-academic thinking, more embodied culture. But it also raises a deeper question: whose reality would actually be learned?

Because even if the data were global, the selection, labeling, weighting, and training objectives would still be controlled somewhere.

And then there’s preference. Would people eventually choose their models the way they choose media ecosystems today? A Californian-progressive LLM. A post-socialist Eastern European LLM. A Palestinian LLM for discussing geopolitics. A deeply conservative, tradition-preserving LLM that treats modernity itself as suspect.

If that happens, AI wouldn’t homogenize thought — it would solidify worldviews into software as it is done in media today. Dialogue might actually become harder, not easier.

So the think may not be “AI Californication” alone, but AI Balkanization, ...

The open question is whether we can build models that don’t just represent cultures, but can genuinely inhabit multiple, conflicting ontologies without collapsing them into a single moral frame. That may be the hardest problem of all — and one that current LLMs, trained mostly on English-speaking upper layers of the internet, are nowhere near solving yet.