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Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
1•AlexeyBrin•21s ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
1•machielrey•1m 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•6m 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•8m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•11m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
2•pastage•11m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
1•billiob•11m ago•0 comments

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

https://app.writtte.com/read/gP0H6W5
2•birdculture•17m 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•23m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•24m ago•1 comments

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

https://slop-news.pages.dev/slop-news
1•keepamovin•28m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•31m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
3•tosh•36m ago•0 comments

RISC-V Vector Primer

https://github.com/simplex-micro/riscv-vector-primer/blob/main/index.md
4•oxxoxoxooo•40m ago•1 comments

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

2•InvoxoEU•41m 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
2•goranmoomin•44m ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

3•throwaw12•45m ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
2•senekor•47m 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•50m 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•52m 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•53m 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•55m 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•57m ago•0 comments

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

https://www.youtube.com/watch?v=U8dcFhF0Dlk
1•askl•59m 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
1•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

Why Is ChatGPT Telling People to Email Me?

https://www.nytimes.com/2025/06/29/insider/why-is-chatgpt-telling-people-to-email-me.html
8•bookofjoe•7mo ago

Comments

bookofjoe•7mo ago
https://archive.ph/NE86Q
pryelluw•7mo ago
The web can be a nice place full of lively people. By default it is not. At least anymore. I remember the early days of webrings, HTML only pages, and guestbooks. That’s no longer the case. It hasn’t been so since facebook.

Why is this relevant?

These LLMs were trained on the internet’s data. Which is full of a lot of vile shit. I can’t imagine these models having a measurable sense of decency as a result. Not without much tweaking from the big model makers.

It’s no wonder people become affected by this technology. It’s trained on humanities unfiltered thoughts. So dark that light can’t escape.

We are on for a ride.

123yawaworht456•7mo ago
on the contrary, they're all heavily filtered and """aligned""". have a chat with any commercial model about some controversial topic, and you'll see the viewpoints that didn't exist until 5-10 years ago and are only held by less than 1% of worldwide population.

unfiltered data might exist in the petabytes of shit they train on, but goodthink datasets are heavily prioritized.

pryelluw•7mo ago
Good according to whom is the question. Bad is a little simpler to define given violence, etc. But good? Good luck with that. There’s definitely a compounding shift of western values anywhere else these models are deployed.