frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Zram as Swap

https://wiki.archlinux.org/title/Zram#Usage_as_swap
1•seansh•3m ago•0 comments

Green’s Dictionary of Slang - Five hundred years of the vulgar tongue

https://greensdictofslang.com/
1•mxfh•5m ago•0 comments

Nvidia CEO Says AI Capital Spending Is Appropriate, Sustainable

https://www.bloomberg.com/news/articles/2026-02-06/nvidia-ceo-says-ai-capital-spending-is-appropr...
1•virgildotcodes•7m ago•2 comments

Show HN: StyloShare – privacy-first anonymous file sharing with zero sign-up

https://www.styloshare.com
1•stylofront•9m ago•0 comments

Part 1 the Persistent Vault Issue: Your Encryption Strategy Has a Shelf Life

1•PhantomKey•13m ago•0 comments

Show HN: Teleop_xr – Modular WebXR solution for bimanual robot teleoperation

https://github.com/qrafty-ai/teleop_xr
1•playercc7•15m ago•1 comments

The Highest Exam: How the Gaokao Shapes China

https://www.lrb.co.uk/the-paper/v48/n02/iza-ding/studying-is-harmful
1•mitchbob•20m ago•1 comments

Open-source framework for tracking prediction accuracy

https://github.com/Creneinc/signal-tracker
1•creneinc•22m ago•0 comments

India's Sarvan AI LLM launches Indic-language focused models

https://x.com/SarvamAI
2•Osiris30•23m ago•0 comments

Show HN: CryptoClaw – open-source AI agent with built-in wallet and DeFi skills

https://github.com/TermiX-official/cryptoclaw
1•cryptoclaw•26m ago•0 comments

ShowHN: Make OpenClaw respond in Scarlett Johansson’s AI Voice from the Film Her

https://twitter.com/sathish316/status/2020116849065971815
1•sathish316•28m ago•2 comments

CReact Version 0.3.0 Released

https://github.com/creact-labs/creact
1•_dcoutinho96•29m ago•0 comments

Show HN: CReact – AI Powered AWS Website Generator

https://github.com/creact-labs/ai-powered-aws-website-generator
1•_dcoutinho96•30m ago•0 comments

The rocky 1960s origins of online dating (2025)

https://www.bbc.com/culture/article/20250206-the-rocky-1960s-origins-of-online-dating
1•1659447091•35m ago•0 comments

Show HN: Agent-fetch – Sandboxed HTTP client with SSRF protection for AI agents

https://github.com/Parassharmaa/agent-fetch
1•paraaz•37m ago•0 comments

Why there is no official statement from Substack about the data leak

https://techcrunch.com/2026/02/05/substack-confirms-data-breach-affecting-email-addresses-and-pho...
8•witnessme•41m ago•1 comments

Effects of Zepbound on Stool Quality

https://twitter.com/ScottHickle/status/2020150085296775300
2•aloukissas•44m ago•1 comments

Show HN: Seedance 2.0 – The Most Powerful AI Video Generator

https://seedance.ai/
2•bigbromaker•47m ago•0 comments

Ask HN: Do we need "metadata in source code" syntax that LLMs will never delete?

1•andrewstuart•53m ago•1 comments

Pentagon cutting ties w/ "woke" Harvard, ending military training & fellowships

https://www.cbsnews.com/news/pentagon-says-its-cutting-ties-with-woke-harvard-discontinuing-milit...
6•alephnerd•56m ago•2 comments

Can Quantum-Mechanical Description of Physical Reality Be Considered Complete? [pdf]

https://cds.cern.ch/record/405662/files/PhysRev.47.777.pdf
1•northlondoner•56m ago•1 comments

Kessler Syndrome Has Started [video]

https://www.tiktok.com/@cjtrowbridge/video/7602634355160206623
2•pbradv•59m ago•0 comments

Complex Heterodynes Explained

https://tomverbeure.github.io/2026/02/07/Complex-Heterodyne.html
4•hasheddan•59m ago•0 comments

MemAlign: Building Better LLM Judges from Human Feedback with Scalable Memory

https://www.databricks.com/blog/memalign-building-better-llm-judges-human-feedback-scalable-memory
1•superchink•1h ago•0 comments

CCC (Claude's C Compiler) on Compiler Explorer

https://godbolt.org/z/asjc13sa6
2•LiamPowell•1h ago•0 comments

Homeland Security Spying on Reddit Users

https://www.kenklippenstein.com/p/homeland-security-spies-on-reddit
38•duxup•1h ago•9 comments

Actors with Tokio (2021)

https://ryhl.io/blog/actors-with-tokio/
1•vinhnx•1h ago•0 comments

Can graph neural networks for biology realistically run on edge devices?

https://doi.org/10.21203/rs.3.rs-8645211/v1
1•swapinvidya•1h ago•1 comments

Deeper into the shareing of one air conditioner for 2 rooms

1•ozzysnaps•1h ago•0 comments

Weatherman introduces fruit-based authentication system to combat deep fakes

https://www.youtube.com/watch?v=5HVbZwJ9gPE
3•savrajsingh•1h ago•0 comments
Open in hackernews

Is 30% of Microsoft's code AI-generated?

https://idiallo.com/blog/is-30-percent-of-microsoft-code-ai-generated
16•foxfired•2mo ago

Comments

cedilla•2mo ago
Up to 70% or more of statistics in sales calls are exaggerated, waffley or completely made up.
jethronethro•2mo ago
83% of people know that ...
Eddy_Viscosity2•2mo ago
I'm not sure I can trust this, 73.8% of statistics listed in HN comments are made up on the spot.
m463•2mo ago
I wonder about ai-generated code with respect to copyright.
AlexandrB•2mo ago
Even if true it's quite funny because code volume is not a good metric. It's why developer productivity generally should not measured in "LOC produced".

Or to paraphrase Blaise Pascal: "If I had more time, I would have written less code."

almoehi•2mo ago
What I found in practise is that AI generated code is typically 30% longer than it should be compared to how an experienced senior would write it.

It’s not that it is wrong or anything - it’s just unnecessary verbose.

Which you could argue is not a problem if it won’t be read by humans anyways anymore in the near future.

furyofantares•2mo ago
> Which you could argue is not a problem if it won’t be read by humans anyways anymore in the near future.

It's a problem right now for code that isn't being read by humans.

LLM-backed agents start by writing slightly bad code that's a little too verbose, too careful in error handling, writes too much fallback code, among other common minor LLM-ish flaws. And then it's next turn of the crank sees all that, both as an example but also as code it must maintain, and is slightly more bad in all those ways.

This is why vibing ends up so bad. It keeps producing code that does what you asked for a fairly long time, so you can get a long way vibing. By the time you hit a brick wall it will have been writing very bad code for a long while, and it's not clear that it's easier to fix it than start over and try not to accept any amount of slop.

david-gpu•2mo ago
> too careful in error handling, writes too much fallback code

Is it possible that your code goes a little cowboy when it comes to error handling? I don't think I've ever seen code that was too careful when it came to error handling -- but I wrote GPU drivers, so perhaps the expectations were different in that context.

hedora•2mo ago
I’ve definitely seen agents add null checks to a computed value in a function, but then not change the return type to be non-null. Later, it adds a null checks at each call site, each with a different error message and/or behavior, but all unreachable.

For bonus points, it implements a redundant version of the same API, and that version can return null, so now the dozen redundant checks are sorta unreachable.

furyofantares•2mo ago
When I'm writing web services I think I handle almost every error and I don't have this complaint there.

When I'm writing video games there's lots of code where missing assets or components simply mean the game is misconfigured and won't work and I would like it to loudly and immediately fail. I often like just crashing there. There are better options sometimes too, making a lot of noise but allowing continuation. But LLMs seem to be bad at using those too.

Actually to go back to web services, I do still hate the way I've had LLMs handle errors there too - too often they handle them silently or worse, provide some fallback behavior that masks the error. They just don't write code that looks like it was written by someone with 1) some assumptions about how the code is going to be used 2) some ideas about how likely their assumptions are to be wrong or 3) some opinions about how they'd like to learn their assumptions are wrong if so.

hightrix•2mo ago
I'd be curious how much of MSFT's code is generated by simple auto-complete (intellisense) vs AI powered auto-complete vs generated from a prompt.
fuckinpuppers•2mo ago
Ever used azure? Sure seems like there was an inhuman force behind it
carlmr•2mo ago
It was bad before AI. Not saying AI vibe code is great, just that poor engineering culture existed before AI.
cedws•2mo ago
>I'd say maybe 20%, 30% of the code that is inside of our repos today and some of our projects are probably all written by software.

This sentence is carefully crafted. It's an opinion, not a statement of fact, so he can cover his ass. In other words, legal lying. Elon Musk does the same thing all the time. Somehow, the markets don't see through the obvious bullshit.

nikole9696•2mo ago
Well 90% of my test code is AI generated, and we have a lot of tests. Also Cursor is really good at generating all my documentation. So depending on how we spin it, I could say at least half the code (often more if I'm spinning up new stuff it can do based off existing stuff) in my PR was AI generated.

That said, AI wasn't very good until it had enough examples and guidance from us on our codebase. After that though, it definitely helps.

Caveat: I'm no rocket scientist. It's not difficult code. It's just web services and whatnot. The code is often the least difficult part of my job.