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EchoJEPA: Latent Predictive Foundation Model for Echocardiography

https://github.com/bowang-lab/EchoJEPA
1•euvin•6m ago•0 comments

Disablling Go Telemetry

https://go.dev/doc/telemetry
1•1vuio0pswjnm7•7m ago•0 comments

Effective Nihilism

https://www.effectivenihilism.org/
1•abetusk•10m ago•1 comments

The UK government didn't want you to see this report on ecosystem collapse

https://www.theguardian.com/commentisfree/2026/jan/27/uk-government-report-ecosystem-collapse-foi...
2•pabs3•13m ago•0 comments

No 10 blocks report on impact of rainforest collapse on food prices

https://www.thetimes.com/uk/environment/article/no-10-blocks-report-on-impact-of-rainforest-colla...
1•pabs3•13m ago•0 comments

Seedance 2.0 Is Coming

https://seedance-2.app/
1•Jenny249•14m ago•0 comments

Show HN: Fitspire – a simple 5-minute workout app for busy people (iOS)

https://apps.apple.com/us/app/fitspire-5-minute-workout/id6758784938
1•devavinoth12•15m ago•0 comments

Dexterous robotic hands: 2009 – 2014 – 2025

https://old.reddit.com/r/robotics/comments/1qp7z15/dexterous_robotic_hands_2009_2014_2025/
1•gmays•19m ago•0 comments

Interop 2025: A Year of Convergence

https://webkit.org/blog/17808/interop-2025-review/
1•ksec•28m ago•1 comments

JobArena – Human Intuition vs. Artificial Intelligence

https://www.jobarena.ai/
1•84634E1A607A•32m 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•36m ago•0 comments

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

https://github.com/mkmkkkkk/paysentry
1•mkyang•38m ago•0 comments

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

https://moli-green.is/
1•ShinyaKoyano•47m ago•0 comments

The Crumbling Workflow Moat: Aggregation Theory's Final Chapter

https://twitter.com/nicbstme/status/2019149771706102022
1•SubiculumCode•52m 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•53m ago•0 comments

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

https://github.com/adityaprasad-sudo/Explore-Singapore
1•ambitious_potat•59m 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•59m ago•0 comments

Porting Doom to My WebAssembly VM

https://irreducible.io/blog/porting-doom-to-wasm/
2•irreducible•59m ago•0 comments

Cognitive Style and Visual Attention in Multimodal Museum Exhibitions

https://www.mdpi.com/2075-5309/15/16/2968
1•rbanffy•1h 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•1h 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...
4•akagusu•1h ago•1 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
9•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
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.