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NewASM Virtual Machine

https://github.com/bracesoftware/newasm
1•DEntisT_•22s ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
1•tosh•45s ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•59s ago•1 comments

The Path to Mojo 1.0

https://www.modular.com/blog/the-path-to-mojo-1-0
1•tosh•3m ago•0 comments

Show HN: I'm 75, building an OSS Virtual Protest Protocol for digital activism

https://github.com/voice-of-japan/Virtual-Protest-Protocol/blob/main/README.md
3•sakanakana00•7m ago•0 comments

Show HN: I built Divvy to split restaurant bills from a photo

https://divvyai.app/
3•pieterdy•9m ago•0 comments

Hot Reloading in Rust? Subsecond and Dioxus to the Rescue

https://codethoughts.io/posts/2026-02-07-rust-hot-reloading/
3•Tehnix•9m ago•1 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
2•haizzz•11m ago•1 comments

Show HN: Open-source AI assistant for interview reasoning

https://github.com/evinjohnn/natively-cluely-ai-assistant
3•Nive11•11m ago•4 comments

Tech Edge: A Living Playbook for America's Technology Long Game

https://csis-website-prod.s3.amazonaws.com/s3fs-public/2026-01/260120_EST_Tech_Edge_0.pdf?Version...
2•hunglee2•15m ago•0 comments

Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
2•chartscout•17m ago•0 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
3•AlexeyBrin•20m ago•0 comments

What the longevity experts don't tell you

https://machielreyneke.com/blog/longevity-lessons/
2•machielrey•22m ago•1 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
3•tablets•26m 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•29m ago•0 comments

Show HN: AI-Powered Merchant Intelligence

https://nodee.co
1•jjkirsch•31m ago•0 comments

Bash parallel tasks and error handling

https://github.com/themattrix/bash-concurrent
2•pastage•31m ago•0 comments

Let's compile Quake like it's 1997

https://fabiensanglard.net/compile_like_1997/index.html
2•billiob•32m ago•0 comments

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

https://app.writtte.com/read/gP0H6W5
2•birdculture•37m 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•43m ago•0 comments

Laibach the Whistleblowers [video]

https://www.youtube.com/watch?v=c6Mx2mxpaCY
1•KnuthIsGod•44m ago•1 comments

Slop News - The Front Page right now but it's only Slop

https://slop-news.pages.dev/slop-news
1•keepamovin•49m ago•1 comments

Economists vs. Technologists on AI

https://ideasindevelopment.substack.com/p/economists-vs-technologists-on-ai
1•econlmics•51m ago•0 comments

Life at the Edge

https://asadk.com/p/edge
4•tosh•57m ago•0 comments

RISC-V Vector Primer

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

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

2•InvoxoEU•1h 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
4•goranmoomin•1h ago•0 comments

Ask HN: Is the Downfall of SaaS Started?

4•throwaw12•1h ago•0 comments

Flirt: The Native Backend

https://blog.buenzli.dev/flirt-native-backend/
3•senekor•1h ago•0 comments

OpenAI's Latest Platform Targets Enterprise Customers

https://aibusiness.com/agentic-ai/openai-s-latest-platform-targets-enterprise-customers
2•myk-e•1h ago•0 comments
Open in hackernews

Ask HN: Are AI generated stuffs intentionally bad?

1•revskill•5mo ago
I'm not sure why, but i don't know why the whole AI generated things are confusing because it seems intentionally badly trained to generate bullshits more often then it should. Do you guys have the same problem ?

My hypothesis is: it's designed that way to generate more profits.

Comments

rlv-dan•5mo ago
> it seems intentionally badly trained

This implies that available training code is good. Consider for example how many GitHub repos are students just trying to learn to code.

ungreased0675•5mo ago
I think it’s more likely LLMs naturally produce variable quality outputs.

Because, if you had a machine that could automatically generate excellent code, would you sell access to it, or would you use it to put every other software company out of business?

incomingpain•5mo ago
>I'm not sure why, but i don't know why the whole AI generated things are confusing because it seems intentionally badly trained to generate bullshits more often then it should. Do you guys have the same problem ?

First, Hanlon's Razor: Never attribute to malice that which is adequately explained by stupidity.

Second, imagine how you train your model. You want a huge selection of quality writing. If you were to input Twitter posts into your model, your model will be dumb as rocks. So you put in literature. Science articles. Technical documentation. If you're Anthropic, you pirate all those books.

The model you get out then is very high quality. Then you ask it to output text and it is going to output this average tone, style, quality from centuries of writing. The text you're getting is 2% shakespearean, 4% old english, 5% japananese english translated manga.

You need to ask it for exactly what you want. If you dont, it will be confusing.