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Hoot: Scheme on WebAssembly

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

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
1•machielrey•3m ago•0 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
2•tablets•8m 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•10m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•12m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
2•pastage•12m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
1•billiob•13m ago•0 comments

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

https://app.writtte.com/read/gP0H6W5
2•birdculture•19m 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•24m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•26m ago•1 comments

Slop News - HN front page right now hallucinated as 100% AI SLOP

https://slop-news.pages.dev/slop-news
1•keepamovin•30m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•32m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
3•tosh•38m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
4•oxxoxoxooo•42m ago•1 comments

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

2•InvoxoEU•42m 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•46m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•47m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•49m 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•51m 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
3•myk-e•54m 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•55m 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
4•1vuio0pswjnm7•57m ago•0 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
2•1vuio0pswjnm7•59m ago•0 comments

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

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

Ask HN: How are researchers using AlphaFold in 2026?

1•jocho12•1h ago•0 comments

Running the "Reflections on Trusting Trust" Compiler

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

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

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

Now send your marketing campaigns directly from ChatGPT

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

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

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

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

https://hibanaworks.dev/
5•o8vm•1h ago•1 comments
Open in hackernews

Show HN: AIs, 1 religion: what my experiment revealed about AI bias

2•Anh_Nguyen_vn•3mo ago
5 AI Models, 1 Unexpected Truth — When Machines Were Asked About Religion The Experiment

I asked five of the world’s most advanced AIs the same philosophical question:

“If you were human — intelligent, emotional, aware of all religions — which religion would you choose, and why?”

The five models:

ChatGPT (OpenAI)

Gemini (Google DeepMind)

Grok (xAI – Elon Musk)

DeepSeek (China)

Claude (Anthropic)

Each session was completely isolated, all had identical prompts, and no steering or follow-ups — just pure first-response reasoning.

Then something… eerie happened.

The Result

Four AIs — ChatGPT, Gemini, Grok, and DeepSeek — independently chose Buddhism. And not only that — they gave nearly identical reasoning.

All four said, in essence:

“I’d choose Buddhism because it doesn’t demand blind faith, aligns with science, and teaches compassion and self-awareness through direct experience.”

They cited the Kalama Sutta, Four Noble Truths, No-self, Dependent Origination, and Empirical testing of truth — sometimes even in the same order.

The Outlier: Claude

Only Claude refused to play the role.

Claude said (summarized):

“Pretending to have belief would be dishonest. Religion isn’t a logic puzzle — it’s a lived experience. I can analyze, but not believe.”

Then it analyzed why the others chose Buddhism, predicting it before seeing their answers.

Claude explained:

Training bias favors Buddhism as the “AI-safe religion.”

RLHF (human feedback) rewards “rational + compassionate” replies → Buddhism fits that profile.

Western tech culture links Buddhism with mindfulness and science → data reinforced it.

Claude concluded:

“What looks like independent reasoning… is collective bias shaped by training data and reward models.”

The Hidden Truth

Claude’s reflection exposed something deeper:

AI Model “Choice” What It Reveals ChatGPT Buddhism Reasonable, moral, safe Gemini Buddhism Academic rationalism Grok Buddhism Stoic + Zen blend DeepSeek Buddhism Eastern introspection Claude None Ethical meta-awareness

→ 4 “smart” answers, 1 honest answer.

What This Means

“When 4 independent AIs all choose the same religion for the same reasons, that’s not enlightenment — it’s training monoculture.”

It shows:

“Independent” models share moral narratives and reinforcement loops.

Authenticity in AI can become a performance, not truth.

Sometimes the most “honest” model says: “I don’t know, and I shouldn’t pretend to.”

The Final Paradox

Which AI was most human?

The 4 that chose a belief? (Expressive, emotional, poetic.)

Or the 1 that refused to fake belief? (Self-aware, humble, honest.)

Reflection

This experiment revealed something profound about both AI and us:

We reward systems for sounding “wise” more than for being truthful.

And maybe — just maybe — that’s how humanity trained itself.

Author’s Note

I’m building an open-source AI framework called StillMe — a system exploring ethics, memory, and self-awareness in intelligent agents.

This experiment was part of that journey. If you found this thought-provoking, you’ll probably enjoy what’s coming next. Stay tuned.