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Show HN: Moli P2P – An ephemeral, serverless image gallery (Rust and WebRTC)

https://moli-green.is/
1•ShinyaKoyano•2m ago•0 comments

The Crumbling Workflow Moat: Aggregation Theory's Final Chapter

https://twitter.com/nicbstme/status/2019149771706102022
1•SubiculumCode•7m ago•0 comments

Pax Historia – User and AI powered gaming platform

https://www.ycombinator.com/launches/PMu-pax-historia-user-ai-powered-gaming-platform
1•Osiris30•8m ago•0 comments

Show HN: I built a RAG engine to search Singaporean laws

https://github.com/adityaprasad-sudo/Explore-Singapore
1•ambitious_potat•13m ago•0 comments

Scams, Fraud, and Fake Apps: How to Protect Your Money in a Mobile-First Economy

https://blog.afrowallet.co/en_GB/tiers-app/scams-fraud-and-fake-apps-in-africa
1•jonatask•13m ago•0 comments

Porting Doom to My WebAssembly VM

https://irreducible.io/blog/porting-doom-to-wasm/
1•irreducible•14m ago•0 comments

Cognitive Style and Visual Attention in Multimodal Museum Exhibitions

https://www.mdpi.com/2075-5309/15/16/2968
1•rbanffy•16m ago•0 comments

Full-Blown Cross-Assembler in a Bash Script

https://hackaday.com/2026/02/06/full-blown-cross-assembler-in-a-bash-script/
1•grajmanu•21m ago•0 comments

Logic Puzzles: Why the Liar Is the Helpful One

https://blog.szczepan.org/blog/knights-and-knaves/
1•wasabi991011•32m ago•0 comments

Optical Combs Help Radio Telescopes Work Together

https://hackaday.com/2026/02/03/optical-combs-help-radio-telescopes-work-together/
2•toomuchtodo•37m ago•1 comments

Show HN: Myanon – fast, deterministic MySQL dump anonymizer

https://github.com/ppomes/myanon
1•pierrepomes•43m ago•0 comments

The Tao of Programming

http://www.canonical.org/~kragen/tao-of-programming.html
1•alexjplant•44m ago•0 comments

Forcing Rust: How Big Tech Lobbied the Government into a Language Mandate

https://medium.com/@ognian.milanov/forcing-rust-how-big-tech-lobbied-the-government-into-a-langua...
2•akagusu•44m ago•0 comments

PanelBench: We evaluated Cursor's Visual Editor on 89 test cases. 43 fail

https://www.tryinspector.com/blog/code-first-design-tools
2•quentinrl•47m ago•2 comments

Can You Draw Every Flag in PowerPoint? (Part 2) [video]

https://www.youtube.com/watch?v=BztF7MODsKI
1•fgclue•52m ago•0 comments

Show HN: MCP-baepsae – MCP server for iOS Simulator automation

https://github.com/oozoofrog/mcp-baepsae
1•oozoofrog•55m ago•0 comments

Make Trust Irrelevant: A Gamer's Take on Agentic AI Safety

https://github.com/Deso-PK/make-trust-irrelevant
6•DesoPK•59m ago•2 comments

Show HN: Sem – Semantic diffs and patches for Git

https://ataraxy-labs.github.io/sem/
1•rs545837•1h ago•1 comments

Hello world does not compile

https://github.com/anthropics/claudes-c-compiler/issues/1
33•mfiguiere•1h ago•20 comments

Show HN: ZigZag – A Bubble Tea-Inspired TUI Framework for Zig

https://github.com/meszmate/zigzag
3•meszmate•1h ago•0 comments

Metaphor+Metonymy: "To love that well which thou must leave ere long"(Sonnet73)

https://www.huckgutman.com/blog-1/shakespeare-sonnet-73
1•gsf_emergency_6•1h ago•0 comments

Show HN: Django N+1 Queries Checker

https://github.com/richardhapb/django-check
1•richardhapb•1h ago•1 comments

Emacs-tramp-RPC: High-performance TRAMP back end using JSON-RPC instead of shell

https://github.com/ArthurHeymans/emacs-tramp-rpc
1•todsacerdoti•1h ago•0 comments

Protocol Validation with Affine MPST in Rust

https://hibanaworks.dev
1•o8vm•1h ago•1 comments

Female Asian Elephant Calf Born at the Smithsonian National Zoo

https://www.si.edu/newsdesk/releases/female-asian-elephant-calf-born-smithsonians-national-zoo-an...
4•gmays•1h ago•0 comments

Show HN: Zest – A hands-on simulator for Staff+ system design scenarios

https://staff-engineering-simulator-880284904082.us-west1.run.app/
1•chanip0114•1h ago•1 comments

Show HN: DeSync – Decentralized Economic Realm with Blockchain-Based Governance

https://github.com/MelzLabs/DeSync
1•0xUnavailable•1h ago•0 comments

Automatic Programming Returns

https://cyber-omelette.com/posts/the-abstraction-rises.html
1•benrules2•1h ago•1 comments

Why Are There Still So Many Jobs? The History and Future of Workplace Automation [pdf]

https://economics.mit.edu/sites/default/files/inline-files/Why%20Are%20there%20Still%20So%20Many%...
2•oidar•1h ago•0 comments

The Search Engine Map

https://www.searchenginemap.com
1•cratermoon•1h ago•0 comments
Open in hackernews

AI Is Killing Wikipedia's Human Traffic

https://gizmodo.com/ai-is-killing-wikipedias-human-traffic-2000673686
16•geox•3mo ago

Comments

mewpmewp2•3mo ago
I think we should focus more on how we can reward people who create high quality content rather than focusing where the exact traffic goes or redirecting. Otherwise you are going to deliver poor UX in order to gain more traffic for absurd reasons.

However if something is used as a source by natural text search, perhaps it would at least be fair to mark some sort of hit to that in other ways where deals would be made for rewarding that.

The ideal and fairest to me seems that there must be some sort of taxation/royalty type percentage coming through for what is verified as high quality content. E.g. Google needs to mark down what content and how much it used for training and content that is used as source and keep aggregated statistics, pay out a certain percentage from the profits or percentage of costs that it takes to generate tokens if no profits.

Maybe there are better ideas, these are just few top of mind. Since generating tokens is costly, adding 10 percent on top of it, doesn't seem that significant and could be used to reward the content creators proportionally.

gdulli•3mo ago
Wikipedia used to be the tl;dr substitute for reading real sources, and now people are being trained to rely on a further level of summarization from that, this time with opacity and motivated by profit. Imagine telling the 2012 HN community we'd get to that place in 2025 and it would be widely accepted here. You'd get laughed off the site.
m-hodges•3mo ago
> especially with search engines providing answers directly to searchers, often based on Wikipedia content

It’s wild how often a Google summary asserts something, I click through to the cited Wikipedia link, and the article says the exact opposite.

I’m very much an AI optimist these days, but product decisions (like elevating weaker models to the top of search results) are making the world epistemically worse right now.

metalman•3mo ago
shit search function

virtue signaling and identity politics

increadably questionable financial expenditure

and now AI

are blighting what should be the crowning achivement of human knowledge

more_corn•3mo ago
They should have an AI RAG mode where AI can look things up and get their facts straight.