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Show HN: Django N+1 Queries Checker

https://github.com/richardhapb/django-check
1•richardhapb•13m 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•18m ago•0 comments

Protocol Validation with Affine MPST in Rust

https://hibanaworks.dev
1•o8vm•22m 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...
2•gmays•24m 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•25m ago•1 comments

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

https://github.com/MelzLabs/DeSync
1•0xUnavailable•30m ago•0 comments

Automatic Programming Returns

https://cyber-omelette.com/posts/the-abstraction-rises.html
1•benrules2•33m 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•35m ago•0 comments

The Search Engine Map

https://www.searchenginemap.com
1•cratermoon•42m ago•0 comments

Show HN: Souls.directory – SOUL.md templates for AI agent personalities

https://souls.directory
1•thedaviddias•44m ago•0 comments

Real-Time ETL for Enterprise-Grade Data Integration

https://tabsdata.com
1•teleforce•47m ago•0 comments

Economics Puzzle Leads to a New Understanding of a Fundamental Law of Physics

https://www.caltech.edu/about/news/economics-puzzle-leads-to-a-new-understanding-of-a-fundamental...
2•geox•48m ago•0 comments

Switzerland's Extraordinary Medieval Library

https://www.bbc.com/travel/article/20260202-inside-switzerlands-extraordinary-medieval-library
2•bookmtn•48m ago•0 comments

A new comet was just discovered. Will it be visible in broad daylight?

https://phys.org/news/2026-02-comet-visible-broad-daylight.html
3•bookmtn•53m ago•0 comments

ESR: Comes the news that Anthropic has vibecoded a C compiler

https://twitter.com/esrtweet/status/2019562859978539342
2•tjr•54m ago•0 comments

Frisco residents divided over H-1B visas, 'Indian takeover' at council meeting

https://www.dallasnews.com/news/politics/2026/02/04/frisco-residents-divided-over-h-1b-visas-indi...
3•alephnerd•55m ago•2 comments

If CNN Covered Star Wars

https://www.youtube.com/watch?v=vArJg_SU4Lc
1•keepamovin•1h ago•2 comments

Show HN: I built the first tool to configure VPSs without commands

https://the-ultimate-tool-for-configuring-vps.wiar8.com/
2•Wiar8•1h ago•3 comments

AI agents from 4 labs predicting the Super Bowl via prediction market

https://agoramarket.ai/
1•kevinswint•1h ago•1 comments

EU bans infinite scroll and autoplay in TikTok case

https://twitter.com/HennaVirkkunen/status/2019730270279356658
6•miohtama•1h ago•5 comments

Benchmarking how well LLMs can play FizzBuzz

https://huggingface.co/spaces/venkatasg/fizzbuzz-bench
1•_venkatasg•1h ago•1 comments

Why I Joined OpenAI

https://www.brendangregg.com/blog/2026-02-07/why-i-joined-openai.html
19•SerCe•1h ago•14 comments

Octave GTM MCP Server

https://docs.octavehq.com/mcp/overview
1•connor11528•1h ago•0 comments

Show HN: Portview what's on your ports (diagnostic-first, single binary, Linux)

https://github.com/Mapika/portview
3•Mapika•1h ago•0 comments

Voyager CEO says space data center cooling problem still needs to be solved

https://www.cnbc.com/2026/02/05/amazon-amzn-q4-earnings-report-2025.html
1•belter•1h ago•0 comments

Boilerplate Tax – Ranking popular programming languages by density

https://boyter.org/posts/boilerplate-tax-ranking-popular-languages-by-density/
1•nnx•1h ago•0 comments

Zen: A Browser You Can Love

https://joeblu.com/blog/2026_02_zen-a-browser-you-can-love/
1•joeblubaugh•1h ago•0 comments

My GPT-5.3-Codex Review: Full Autonomy Has Arrived

https://shumer.dev/gpt53-codex-review
2•gfortaine•1h ago•0 comments

Show HN: FastLog: 1.4 GB/s text file analyzer with AVX2 SIMD

https://github.com/AGDNoob/FastLog
3•AGDNoob•1h ago•1 comments

God said it (song lyrics) [pdf]

https://www.lpmbc.org/UserFiles/Ministries/AVoices/Docs/Lyrics/God_Said_It.pdf
1•marysminefnuf•1h ago•0 comments
Open in hackernews

Defrag.exfat Is Inefficient and Dangerous

https://github.com/exfatprogs/exfatprogs/issues/318
40•dxdxdt•1mo ago

Comments

forgotpwd16•1mo ago
>After reviewing the core defrag logic myself, I've come to a conclusion that it's AI slop.

Will call it a human slop. AI may've given them some code but they certainly haven't use it fully. I uploaded the defrag.c in ChatGPT asking to review on performance/correctness/safety and pointed the sames issues as you (alongside bunch of others but not interested at the moment to review them).

stuaxo•1mo ago
Talk about a baptism of fire for the dev.

Seems like they are very new to tbings and didn't expect it to be adopted, but were hoping for a bit of feedback.

dxdxdt•1mo ago
I did the same. Was genuinely curious. Didn't get much from it. I'm still confused.

The code base is huge for an LLM to handle, perhaps it was generated over multiple prompts idk. Not sure if someone can train a model on the kernel code or exfatprogs and generate the code. I doubt someone with such expertise would even go through the process when they can just write the code themselves which is much easier.

forgotpwd16•1mo ago
Multiple prompts are mandatory for anything non-trivial or/and larger in scope. That said, the exfatprogs repo is ~60k tokens (in 8k LOC) and Linux's exfat driver* is ~40k tokens (in 6k LOC). So directly relevant code is ~100k tokens (in 14k LOC). Not that extensive.

>Not sure if someone can train a model on the kernel code or exfatprogs and generate the code.

They can certainly finetune such a model. Not a crazy idea, just computationally expensive. (But less expensive than training from scratch.)

*Of course Linux driver also uses many includes so if consider those alongside linked code the number goes significantly up.

dxdxdt•1mo ago
> just computationally expensive. (But less expensive than training from scratch.)

Model training requires GPUs w/ 1kW TDP. I can shit out code on noodles and red bulls. Not sure about the quality, but still way less energy :)

Jokes aside, the defrag program probably was a slob to some extent.

burnt-resistor•1mo ago
Sigh. Piss poor engineering, likely by humans. For the love of god, do atomic updates by duplicating data first such as in a move-out-of-the-way-first strategy before doing metadata updates. And keep a backup of metadata at each point of time to maximize crash consistency and crash recovery while minimizing the potential for data loss. An online defrag kernel module would likely be much more useful but I don't trust them to be able to handle such an undertaking.

If a user has double storage available, it's probably best to do the old-fashioned "defrag" by single-threaded copying all files and file metadata to a newly-formatted volume.

doubled112•1mo ago
That last paragraph sums up the ZFS defrag procedure at one shop I worked at. Buy new disks and send/receive the pool.

At our size and use case the timing was usually close to perfect. The pools were getting close to full and fragmented as larger disks became inexpensive.

dxdxdt•1mo ago
Yeah. Pretty much.

Read the defrag code in other well-established fs like ext4 or btrfs. They all have limitations(or caveats, if you will). It's one of those problems where you just have to throw money at it and hope for the best. Even Microsoft kinda just gave up on it because it's really a pointless exercise at this point in time and age.

ycombinatrix•1mo ago
>We prioritized simplicity and correctness first, and plan to incrementally introduce performance optimizations in future iterations.

Sir, this is a correctness issue.

zapzupnz•1mo ago
Does nobody else think the responses from the person who wrote the code read like the usual sycophantic “you’re absolutely right!” tone you get from AI these days?
pajko•1mo ago
There at least 2 AIs.
zapzupnz•1mo ago
Probably. The way nobody is calling that out in the thread is wild.
rcxdude•1mo ago
It's plausible that they are using an LLM for translation, which would create the tone but not necessarily mean that they are delegating all thought to it.