frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

Show HN: Self-hosted RAG for docs and code (FastAPI, Docling, ChromaDB)

https://github.com/2dogsandanerd/Knowledge-Base-Self-Hosting-Kit
1•2dogsanerd•4m ago•1 comments

MasonEffect – Particle-based text morphing library (now supports Svelte)

1•fe-hyunsu•4m ago•0 comments

Taking Jaggedness Seriously

https://helentoner.substack.com/p/taking-jaggedness-seriously
1•imjacobclark•5m ago•0 comments

It Is Possible to Spend Too Much on AI

https://www.wsj.com/tech/it-really-is-possible-to-spend-too-much-on-ai-7bb68df1
2•1vuio0pswjnm7•7m ago•0 comments

The Battle over Africa's Great Untapped Resource: IP Addresses

https://www.wsj.com/business/telecom/africa-ip-addresses-china-3e543b9d
3•watchdogtimer•8m ago•0 comments

Is Linus Torvalds GitHub Account Hacked?

1•meel-hd•8m ago•0 comments

Statin-independent association between low LDL and risk of T2 diabetes

https://link.springer.com/article/10.1186/s12933-025-02964-6
1•guerby•9m ago•1 comments

(2018) How I created a database of all interesting Rush Hour configurations

https://www.michaelfogleman.com/rush/
1•xeonmc•11m ago•0 comments

Moodfx v1.0 IS LIVEAs a 19yo I think I just killed every $200/mo AI suite

https://moodfx-859986050194.us-west1.run.app/
1•Iam_Moody•12m ago•1 comments

Riding the autism bicycle to retraction town

https://nobreakthroughs.substack.com/p/riding-the-autism-bicycle-to-retraction
1•OgsyedIE•13m ago•0 comments

A brief history of NSA backdoors. (2013)

https://www.ethanheilman.com/x/12/index.html
2•fanf2•14m ago•0 comments

Soul Over AI – list of AI generated bands

https://souloverai.com/
1•starquake•16m ago•0 comments

Show HN: Slash commands to enforce collaborative AI workflows (Cursor/Claude)

https://github.com/markekvall/ai-workflow-hub
1•markekvall•16m ago•1 comments

A new look at an old dog: Bonn-Oberkassel reconsidered

https://www.sciencedirect.com/science/article/abs/pii/S0305440318300049
1•thunderbong•17m ago•0 comments

What Happens When Everyone Lives in Their Own Digital Reality?

https://twitter.com/SRKDAN/status/1994728281514676560
1•SRKD•22m ago•1 comments

Show HN: Bookmark Bar – Browser Hub (Open Any Bookmark in Any Browser on macOS)

https://apps.apple.com/us/app/bookmark-bar-browser-hub/id6755682496?mt=12
1•8mobile•28m ago•0 comments

Chainalysis Successful Deanonymization Attack on Monero

https://darkwebinformer.com/chainalysis-successful-deanonymization-attack-on-monero-2/
2•Anon84•29m ago•0 comments

The CRDT Dictionary: A Field Guide to Conflict-Free Replicated Data Types

https://www.iankduncan.com/engineering/2025-11-27-crdt-dictionary/
2•birdculture•31m ago•0 comments

You probably shouldn't block AI bots from your website

https://chronicles.mad-scientist.club/tales/you-probably-shouldnt-block-ai-bots-from-your-website/
2•smartmic•33m ago•0 comments

Langjam Gamejam: build a programming language and then make a game using it

https://langjamgamejam.com/
3•ingve•35m ago•0 comments

LLMs and the Human Condition

https://arxiv.org/abs/2402.08403
1•Anon84•36m ago•0 comments

Google CEO Sundar Pichai signals QC could be next big tech shift after AI

https://economictimes.indiatimes.com/tech/technology/google-ceo-sundar-pichai-signals-quantum-com...
2•donutloop•38m ago•0 comments

Show HN: Cuenv (CUE for to replace direnv, Just, and more)

https://github.com/cuenv/cuenv
1•rawkode•39m ago•0 comments

Chinese scientists create super stable building block for quantum computers

https://www.scmp.com/news/china/science/article/3334549/chinese-scientists-create-super-stable-bu...
2•donutloop•39m ago•0 comments

Show HN: A Low-Level Bluetooth Hid Remote for Blind Mobile UI Macroing

2•SEMIPREMIUM•46m ago•0 comments

Bee·bot is a multipurpose scanner

https://github.com/blacklanternsecurity/bbot
2•doener•46m ago•1 comments

Listen to Protons for Less Than $100

https://spectrum.ieee.org/listen-to-protons-diy-magnetometer
1•nullbyte808•52m ago•0 comments

Show HN: I built Magiclip – an all-in-one AI studio

https://magiclip.io/
2•kokau•52m ago•0 comments

Solid? Nope, Just Coupling and Cohesion

https://codeopinion.com/solid-nope-just-coupling-and-cohesion/
2•BinaryIgor•53m ago•0 comments

Dell Pro Max 16 Plus Laptop

https://www.dell.com/en-us/shop/dell-laptops/dell-pro-max-16-plus-laptop/spd/dell-pro-max-mb16250...
2•doener•53m ago•0 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•7mo ago
After months playing with LLM models, here's my observation:

- LLM is basically useless without explicit intent in your prompt.

- LLM failed to correct itself. If it generated bullshits, it's an inifinite loop of generating more bullshits.

The question is, without explicit prompt, could LLM leverage all the best practices to provide maintainable code without me instruct it at least ?

Comments

ben_w•7mo ago
Your expectations are way too high.

> - LLM is basically useless without explicit intent in your prompt.

You can say the same about every dev I've worked with, including myself. This is literally why humans have meetings rather than all of us diving in to whatever we're self-motivated to do.

What does differ is time-scales of the feedback loop with the management:

Humans meetings are daily to weekly.

According to recent research*, the state-of-the-art models are only 50% accurate at tasks that would take a human expert an hour, or 80% accurate at tasks that would take a human expert 10 minutes.

Even if the currently observed trend of increasing time horizons holds, we're 21 months from having an AI where every other daily standup is "ugh, no, you got it wrong", and just over 5 years from them being able to manage a 2-week sprint with an 80% chance of success (in the absence of continuous feedback).

Even that isn't really enough for them to properly "leverage all the best practices to provide maintainable code", as archiecture and maintainability are longer horizon tasks than 2-week sprints.

* https://youtu.be/evSFeqTZdqs?si=QIzIjB6hotJ0FgHm

revskill•7mo ago
It's not as high as you think.

LLM failed at the most basic things related to maintainable code. Its code is basicaly a hackery mess without any structure at all.

It's my expectation is that, at least, some kind of maintainable code is generated from what's it's learnt.

ben_w•7mo ago
Given your expectation:

> It's my expectation is that, at least, some kind of maintainable code is generated from what's it's learnt.

And your observation:

> LLM failed at the most basic things related to maintainable code. Its code is basicaly a hackery mess without any structure at all.

QED, *your expectations* are way too high.

They can't do that yet.