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Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
1•AlexeyBrin•35s 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•12m 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•29m 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•37m 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•46m 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

College student's "time travel" AI experiment

https://arstechnica.com/information-technology/2025/08/ai-built-from-1800s-texts-surprises-creator-by-mentioning-real-1834-london-protests/
15•amai•4mo ago

Comments

dmonitor•4mo ago
Man overtunes AI on texts from 1800–1875 London. Gets historical trivia from 1800-1875 London. Incredible result.
barbazoo•4mo ago
Article addresses that somewhat

> On the one hand, this output is not very surprising. AI researchers who create AI language models like the kind that power ChatGPT have known for years that these models can synthesize realistic permutations of information learned from those texts. It's how every AI assistant today works.

> But what makes this episode especially interesting is that a small hobbyist model trained by one man appears to have surprised him by reconstructing a coherent historical moment from scattered references across thousands of documents, connecting a specific year to actual events and figures without being explicitly taught these relationships. Grigorian hadn't intentionally trained the model on 1834 protest documentation; the AI assembled these connections from the ambient patterns in 6.25GB of Victorian-era writing.

pavel_lishin•4mo ago
This still doesn't seem wildly surprising. The event happened in 1834, he asked it a question about 1834 - why are we surprised, exactly, that the text-completion engine completed text in the expected manner?
flufluflufluffy•4mo ago
Yeah it does not seem “especially interesting” to me. It was in the training data
rahimnathwani•4mo ago
This is interesting because:

- it's not a fine tune or LoRA; he trained the model from scratch

- it's a small model, but he got it to output text that wasn't just plausible, but reflected some understanding of the zeitgeist, based on writings from the period (not descriptions of the zeitgeist)

Bukhmanizer•4mo ago
The point of the article is boring but training LLMs on documents from a particular time period is actually pretty interesting.
ijk•4mo ago
Assembling 6GB of training data is actually rather impressive, given the constraints.