frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Dexterous robotic hands: 2009 – 2014 – 2025

https://old.reddit.com/r/robotics/comments/1qp7z15/dexterous_robotic_hands_2009_2014_2025/
1•gmays•2m ago•0 comments

Interop 2025: A Year of Convergence

https://webkit.org/blog/17808/interop-2025-review/
1•ksec•12m ago•1 comments

JobArena – Human Intuition vs. Artificial Intelligence

https://www.jobarena.ai/
1•84634E1A607A•15m ago•0 comments

Concept Artists Say Generative AI References Only Make Their Jobs Harder

https://thisweekinvideogames.com/feature/concept-artists-in-games-say-generative-ai-references-on...
1•KittenInABox•19m ago•0 comments

Show HN: PaySentry – Open-source control plane for AI agent payments

https://github.com/mkmkkkkk/paysentry
1•mkyang•21m ago•0 comments

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

https://moli-green.is/
1•ShinyaKoyano•31m ago•0 comments

The Crumbling Workflow Moat: Aggregation Theory's Final Chapter

https://twitter.com/nicbstme/status/2019149771706102022
1•SubiculumCode•35m ago•0 comments

Pax Historia – User and AI powered gaming platform

https://www.ycombinator.com/launches/PMu-pax-historia-user-ai-powered-gaming-platform
2•Osiris30•36m ago•0 comments

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

https://github.com/adityaprasad-sudo/Explore-Singapore
1•ambitious_potat•42m 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•42m ago•0 comments

Porting Doom to My WebAssembly VM

https://irreducible.io/blog/porting-doom-to-wasm/
1•irreducible•42m ago•0 comments

Cognitive Style and Visual Attention in Multimodal Museum Exhibitions

https://www.mdpi.com/2075-5309/15/16/2968
1•rbanffy•44m 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•49m ago•0 comments

Logic Puzzles: Why the Liar Is the Helpful One

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

Show HN: Myanon – fast, deterministic MySQL dump anonymizer

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

The Tao of Programming

http://www.canonical.org/~kragen/tao-of-programming.html
2•alexjplant•1h 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...
3•akagusu•1h 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•1h ago•2 comments

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

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

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

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

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

https://github.com/Deso-PK/make-trust-irrelevant
7•DesoPK•1h ago•4 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
35•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•2h 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...
5•gmays•2h ago•1 comments
Open in hackernews

How to Argue with an AI Booster

https://www.wheresyoured.at/how-to-argue-with-an-ai-booster/
26•lentoutcry•5mo ago

Comments

superkuh•5mo ago
I think the "What is an AI Booster" could've been placed a bit more towards the top of the article to explain this was about business people and corporations and not actually about AI,

>So, an AI booster is not, in many cases, an actual fan of artificial intelligence. People like Simon Willison or Max Woolf who actually work with LLMs on a daily basis don’t see the need to repeatedly harass everybody, or talk down to them about their unwillingness to pledge allegiance to the graveyard smash of generative AI. In fact, the closer I’ve found somebody to actually building things with LLMs, the less likely they are to emphatically argue that I’m missing out by not doing so myself.

>No, the AI booster is symbolically aligned with generative AI. They are fans in the same way that somebody is a fan of a sports team, their houses emblazoned with every possible piece of tat they can find, their Sundays living and dying by the success of the team, except even fans of the Dallas Cowboys have a tighter grasp on reality.

Uehreka•5mo ago
I get the feeling that folks like Ed find “genuine AI enjoyers” to be an annoying inconvenience in their efforts to write fun cathartic screeds about how AI is useless and the people pushing for it are all frauds.

He has to include that section as CYA against people saying they legitimately like AI, but if he made it more prominent it might start to complicate the narrative and let air out of the balloon.

floundy•5mo ago
It can't be mere coincidence that there's a significant overlap between crypto bros and AI boosters in my social circles.
bediger4000•5mo ago
Vanishingly few crypto boosters have a grip on the mathematics or software engineering. They clearly sense (or believe they sense) a money making opportunity because cryptocurrency is new. Bluster, a hearty handshake or the projection of confidence and hard work is all they think is necessary to make a fortune before the normies figure it all out.

I think the same sort of "peaked in highschool" folks would be dazzled by LLMs, so that overlap seems natural to me.

gebdev•5mo ago
While I tend towards the side of the article, I find it difficult to agree (or follow) many of the points it makes, which is a bit disappointing.

For example, under “ChatGPT Is So Popular”, they disagree with the premise then use the argument that “ChatGPT was marketed with lies” as evidence. The later argument is well researched, but is simply out of place, leaving nothing to support their disagreement.

ryandvm•5mo ago
I'm not an AI booster as much as I am an AI fatalist. Assuming that AI has short term profit potential for the entrenched ruling class, this genie is not going back in the bottle. You might as well get used to it.
tim333•5mo ago
I sympathise with most of Zitron's points but re the quips "You Just Don’t Get It" and "AI Is Powerful, and Getting Exponentially More Powerful", I think Zirton doesn't really get it. It's not that AI is getting exponentially more powerful but the hardware it runs on is in a steady Moore's law like way, which allows the AI to get better in more of a linear manner.

In the past, chess programs advanced steadily in ELO scores as a result or hardware improvements, allowing the year they would beat the human champion to be predicted fairly well and now AI is advancing in something like IQ in a similar way.

I'm not sure Zitron gets that - he acts like it's just some novel software we've come up with that isn't really that good. Which is sort of like thinking Computer-Chess 1975 was just some software that wasn't very good and so talking about computers getting better than humans was nonsense.

Of course Deep Blue beat Kasparov in 1997 and now chess computers are about ELO 3500 against about 2800 for the human champion. Similar will probably happen in AI.