frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Why putting a giant mirror in space could be a bad idea

https://www.skyatnightmagazine.com/news/reflect-orbital-giant-mirror-in-space
1•latexr•1m ago•0 comments

Axiomitisation of Scienctific Notations for Programming Languages

https://sm2n.ca/articles/typeclasses-vs-modules/
1•efren6•1m ago•0 comments

Show HN: Huawei releases MACaQ, its internal quantizer for local inference

https://github.com/huawei-csl/MACaQ
2•thefox96•1m ago•0 comments

I Am Dr. Jekyll and Mr. Hyde about AI

https://chollinger.com/blog/2026/11/i-am-dr-jekyll-and-mr-hyde-about-ai/
1•otter-in-a-suit•2m ago•0 comments

Show HN: A screen recording CLI for your coding agent (Mac)

https://github.com/notoriousbfg/reel-cli
1•trwhite•3m ago•0 comments

The Feasibility of a Hardwired Pause of Frontier AI Training

https://hardwired-pause.ai/
1•merksittich•4m ago•0 comments

Cut the Onions

https://kinocow.com/cut-the-onions
1•syliconadder•4m ago•0 comments

"Wikihistory" by Desmond Warzel

https://www.abyssapexzine.com/wikihistory/
1•Eridanus2•6m ago•0 comments

The crisis of universal search and the return to environments of knowledge

https://medium.com/@smoking2man/the-crisis-of-universal-search-and-the-return-to-specialized-envi...
1•Aldus551•8m ago•0 comments

Call of the wild angler/fishing binary hack using LLM

https://github.com/cryptoapebot/callofthewildanger-diamond
1•gbolcer•9m ago•1 comments

I built a dice football game solo with an AI coding assistant

https://apps.apple.com/us/app/hex-soccer-dice-football/id6830311319
1•cgninan•11m ago•0 comments

Thermal Grizzly PhaseSheet PTM Pro Review (Igor's Lab)

https://www.igorslab.de/en/thermal-grizzly-phasesheet-ptm-pro-review/
1•d3Xt3r•12m ago•0 comments

Show HN: ChessKeep – browse grandmaster chess games

https://chesskeep.app/
1•fisher-brett•13m ago•0 comments

Some retailers try blocking agentic AI shoppers

https://www.marketplace.org/story/2026/11/10/some-retailers-try-blocking-agentic-ai-shoppers
2•mooreds•13m ago•0 comments

Impact of Expired Google PageRank Patent on Search Results

https://deepsystemstuff.com/patent-for-pagerank-algorithm-who-made-google-search-what-it-is-today...
2•birdculture•13m ago•0 comments

An open specification for agentic AI security evaluation and testing, from Cisco

https://github.com/CiscoDevNet/foundry-security-spec
1•jamilbk•13m ago•0 comments

Apache Kafka, rewritten in Brainfuck. fast. Memory safe. Diskless

https://github.com/rmoff/kafuck/
2•mooreds•14m ago•0 comments

Shared Signals Framework Receiver Framework

https://easyssf.org/
1•mooreds•14m ago•0 comments

Pottery experiments 11,000 years ago: fired clay fragments from Cemka Hoyuk

https://phys.org/news/2026-11-year-clay-fragments-reveal-early.html
1•titusblair•15m ago•0 comments

Gravitational waves can reveal new worlds

https://science.nasa.gov/missions/lisa/gravitational-waves-can-reveal-new-worlds/
1•titusblair•15m ago•0 comments

Mod_HTTP2: Heap Corruption and RCE in Assign_headers

https://www.cve.org/CVERecord?id=CVE-2026-119618
2•linsomniac•15m ago•0 comments

How to read codes from (many) IR remote controls with as little code as possible

https://bitbanksoftware.blogspot.com/2026/11/how-to-read-codes-from-many-ir-remote.html
2•speckx•16m ago•0 comments

Going Out on a Limb: Joha

https://www.jewishideas.org/article/going-out-limb-joha
1•marysminefnuf•16m ago•0 comments

Withdrawing the Primitive Patterns preview feature

https://mail.openjdk.org/archives/list/amber-spec-observers@openjdk.org/thread/UYEK3PGOHN6R56AHJT...
1•luu•17m ago•0 comments

Token Economy – Claude Code/Codex usage, limits and token savings

https://github.com/Baeta78/token-economy
3•Baeta78•17m ago•0 comments

The Best Algebras Are Spinny [video]

https://www.youtube.com/watch?v=-k-Dnw0F3kc
1•surprisetalk•18m ago•0 comments

Factorio playing any song using 2000 speakers [video]

https://www.youtube.com/watch?v=lYSjLv-usuc
1•piebro•18m ago•0 comments

Is AI going to arb away all market inefficiencies?

1•quarkhole•18m ago•0 comments

AI Models Can Tell When Researchers Plant Concepts in Their Neural Networks

https://singularityhub.com/2026/11/11/ai-models-can-tell-when-researchers-plant-concepts-in-their...
1•jonbaer•19m ago•0 comments

Moto: Mock AWS Services

https://github.com/getmoto/moto
2•saikatsg•19m ago•0 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•1y 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•1y 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•1y 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•1y 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.