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Show HN: Minecraft Creeper meets 90s Tamagotchi

https://github.com/danielbrendel/krepagotchi-game
1•foxiel•2m ago•0 comments

Show HN: Termiteam – Control center for multiple AI agent terminals

https://github.com/NetanelBaruch/termiteam
1•Netanelbaruch•2m ago•0 comments

The only U.S. particle collider shuts down

https://www.sciencenews.org/article/particle-collider-shuts-down-brookhaven
1•rolph•5m ago•0 comments

Ask HN: Why do purchased B2B email lists still have such poor deliverability?

1•solarisos•6m ago•0 comments

Show HN: Remotion directory (videos and prompts)

https://www.remotion.directory/
1•rokbenko•7m ago•0 comments

Portable C Compiler

https://en.wikipedia.org/wiki/Portable_C_Compiler
2•guerrilla•10m ago•0 comments

Show HN: Kokki – A "Dual-Core" System Prompt to Reduce LLM Hallucinations

1•Ginsabo•10m ago•0 comments

Software Engineering Transformation 2026

https://mfranc.com/blog/ai-2026/
1•michal-franc•11m ago•0 comments

Microsoft purges Win11 printer drivers, devices on borrowed time

https://www.tomshardware.com/peripherals/printers/microsoft-stops-distrubitng-legacy-v3-and-v4-pr...
2•rolph•12m ago•0 comments

Lunch with the FT: Tarek Mansour

https://www.ft.com/content/a4cebf4c-c26c-48bb-82c8-5701d8256282
2•hhs•15m ago•0 comments

Old Mexico and her lost provinces (1883)

https://www.gutenberg.org/cache/epub/77881/pg77881-images.html
1•petethomas•18m ago•0 comments

'AI' is a dick move, redux

https://www.baldurbjarnason.com/notes/2026/note-on-debating-llm-fans/
3•cratermoon•20m ago•0 comments

The source code was the moat. But not anymore

https://philipotoole.com/the-source-code-was-the-moat-no-longer/
1•otoolep•20m ago•0 comments

Does anyone else feel like their inbox has become their job?

1•cfata•20m ago•0 comments

An AI model that can read and diagnose a brain MRI in seconds

https://www.michiganmedicine.org/health-lab/ai-model-can-read-and-diagnose-brain-mri-seconds
2•hhs•23m ago•0 comments

Dev with 5 of experience switched to Rails, what should I be careful about?

1•vampiregrey•25m ago•0 comments

AlphaFace: High Fidelity and Real-Time Face Swapper Robust to Facial Pose

https://arxiv.org/abs/2601.16429
1•PaulHoule•26m ago•0 comments

Scientists discover “levitating” time crystals that you can hold in your hand

https://www.nyu.edu/about/news-publications/news/2026/february/scientists-discover--levitating--t...
2•hhs•28m ago•0 comments

Rammstein – Deutschland (C64 Cover, Real SID, 8-bit – 2019) [video]

https://www.youtube.com/watch?v=3VReIuv1GFo
1•erickhill•29m ago•0 comments

Tell HN: Yet Another Round of Zendesk Spam

2•Philpax•29m ago•0 comments

Postgres Message Queue (PGMQ)

https://github.com/pgmq/pgmq
1•Lwrless•33m ago•0 comments

Show HN: Django-rclone: Database and media backups for Django, powered by rclone

https://github.com/kjnez/django-rclone
2•cui•36m ago•1 comments

NY lawmakers proposed statewide data center moratorium

https://www.niagara-gazette.com/news/local_news/ny-lawmakers-proposed-statewide-data-center-morat...
1•geox•37m ago•0 comments

OpenClaw AI chatbots are running amok – these scientists are listening in

https://www.nature.com/articles/d41586-026-00370-w
3•EA-3167•37m ago•0 comments

Show HN: AI agent forgets user preferences every session. This fixes it

https://www.pref0.com/
6•fliellerjulian•40m ago•0 comments

Introduce the Vouch/Denouncement Contribution Model

https://github.com/ghostty-org/ghostty/pull/10559
2•DustinEchoes•41m ago•0 comments

Show HN: SSHcode – Always-On Claude Code/OpenCode over Tailscale and Hetzner

https://github.com/sultanvaliyev/sshcode
1•sultanvaliyev•42m ago•0 comments

Microsoft appointed a quality czar. He has no direct reports and no budget

https://jpcaparas.medium.com/microsoft-appointed-a-quality-czar-he-has-no-direct-reports-and-no-b...
3•RickJWagner•43m ago•0 comments

Multi-agent coordination on Claude Code: 8 production pain points and patterns

https://gist.github.com/sigalovskinick/6cc1cef061f76b7edd198e0ebc863397
1•nikolasi•44m ago•0 comments

Washington Post CEO Will Lewis Steps Down After Stormy Tenure

https://www.nytimes.com/2026/02/07/technology/washington-post-will-lewis.html
15•jbegley•45m ago•3 comments
Open in hackernews

Ask HN: Estimation of copyright material used by LLM

6•megamix•3mo ago
1. Is it true that LLMs / AI Companies have used copyrighted material for training?

2. Is it possible to estimate how much of copyrighted material has been used?

Comments

muzani•3mo ago
1. Yes, but it's hard to prove. There are active lawsuits. Some of it has been under "fair use" but at the billion dollar scale, you have to really ask whether it's fair. Also anecdotally, an author friend lamented that her publisher sold the legal rights to use it... it was all perfectly legal but many authors do not agree to this.

2. This is harder as a lot of them don't disclose training sets.

dialup_sounds•3mo ago
I think what you're looking for is not "copyrighted material" but material that's both 1) used without permission and 2) outside the scope of fair use.

There's no easy answer there, hence New York Times v. OpenAI.

MrVandemar•3mo ago
There is an easy answer, it's just obfuscated by powerful people who are benefiting from it an obscene amount, and supported by hoards of addled and thoroughly addicted enthusiasts.

I think sticking a straw in Zlib or AA or LibGen or whatever it is, and drinking until it makes gurgling slurping noises as it hoovers up the dregs at the bottom of the barrel, is far, far removed from “fair use”.

marstall•3mo ago
pretty much everything newer than ~70 years old on the internet is copyrighted, because copywright occurs automatically when you create something (in the US at least). So the answer to #1 is yes.
maxloh•3mo ago
Yeah. The whole point is whether you obtained the data legally. The answer is yes for data scaped from the public internet, but no for pirate contents, hence the Anthropic's lawsuits: https://www-cbsnews-com.cdn.ampproject.org/v/s/www.cbsnews.c...
bjourne•3mo ago
1. Yes 2. No
yincong0822•3mo ago
Large Language Models (LLMs) and AI companies routinely use massive amounts of data for training, much of which is likely to contain copyrighted material.
maxloh•3mo ago
Big Tech companies crawl the internet for training data, which makes it easy for them to download copyrighted data by accident.

For example, most popular textbooks have at least several pirate copies uploaded to the web. Some of them are even in plain sight and Googleable.