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MRRescue

https://www.mrrescue.pro/
1•donihernandez•28s ago•0 comments

The problematic contradictions of OpenAI's "Industrial Policy» document

https://kladd.pappmaskin.no/2026/04/10/the-contradictions-of-openais-document-industrial-policy-f...
1•mskogly•4m ago•1 comments

Opus 4.6 hallucinates twice as more today than when it released

https://www.bridgebench.ai/hallucination
1•jiwidi•4m ago•1 comments

GPS Explained (2022)

https://ciechanow.ski/gps/
1•gdevillers•6m ago•0 comments

Forgejo monthly report – March 2026

https://forgejo.org/2026-03-monthly-report/
1•birdculture•6m ago•0 comments

Levels of AI Adoption for Project Managers

https://locastic.com/blog/the-10-levels-of-ai-adoption-for-project-managers
1•locastica•6m ago•0 comments

Debian 12 Server Guides

https://docs.bworm.us/
1•steelsmiley•12m ago•0 comments

Mhm AGI on a Docker Compose?

1•Kushvinth•13m ago•0 comments

That's a Skill Issue

https://blog.jim-nielsen.com/2026/skill-issue/
1•mc-serious•14m ago•0 comments

Gen Z fearful AI will take their job they're sabotaging company's AI rollout

https://fortune.com/2026/04/08/gen-z-workers-sabotage-ai-rollout-backlash/
1•alberto_yaakov•15m ago•1 comments

India's Navigation System Faces Operational Challenge After Atomic Clock Failure

https://swarajyamag.com/tech/indias-regional-navigation-system-navic-faces-operational-challenge-...
1•KitN•15m ago•0 comments

Tracking down a 25 percent LLVM RISC-V regression

https://blog.kaving.me/blog/tracking-down-a-25-regression-on-llvm-risc-v/
1•fork-bomber•16m ago•0 comments

Constellations

https://www.technologyreview.com/2026/04/10/1135106/jeff-vandermeer-constellations-science-fiction/
1•Kaibeezy•19m ago•0 comments

Show HN: Amber, a capability-based runtime/compiler for agent benchmarks

https://github.com/RDI-Foundation/amber/
1•_nhynes•22m ago•0 comments

SQL Has Problems. We Can Fix Them: Pipe Syntax in SQL (2024)

https://research.google/pubs/sql-has-problems-we-can-fix-them-pipe-syntax-in-sql/
1•mpweiher•24m ago•0 comments

Show HN: GitBalance – a GitHub-style graph to balance work and health

https://gitbalance.com
1•windystockholm•27m ago•0 comments

A Terminal UI (TUI) Alternative to GHelper for Asus ROG / TUF Laptops on Linux

https://github.com/Ichihiroy/ghelper-for-linux
1•ichihiroy•32m ago•0 comments

The pros and cons of stretch goals

https://www.economist.com/business/2026/04/09/the-pros-and-cons-of-stretch-goals
2•andsoitis•37m ago•0 comments

Pix: How Brazil Built the Perfect Payment System [video]

https://www.youtube.com/watch?v=F_5EADTwsis
2•rzk•41m ago•0 comments

Oracle gave its new CFO $26M in stock after firing up to 30k workers

https://moneywise.com/news/top-stories/oracle-gave-its-new-cfo-26m-in-stock-after-firing-up-to-30...
2•robtherobber•44m ago•0 comments

Data breach at European fitness chain Basic-Fit [pdf]

https://corporate.basic-fit.com/docs/Basic-Fit%20informs%20members%20of%20an%20unauthorised%20dat...
2•lode•48m ago•0 comments

Hybrid search (BM25/vectors/RRF) barely improved over pure semantic

1•pjmalandrino•48m ago•0 comments

NavIC's Clock Crisis, and the Indian Clocks That Could Fix It

https://swarajyamag.com/technology/navics-clock-crisis-and-the-indian-clocks-that-could-fix-it
1•robertlangdon•48m ago•0 comments

Show HN: Show HN:CryptographicTimestamps4 human testimony(2HTMLfiles,noserver)

https://github.com/Bardockthegreat/thomas-more-witness-protocol-
1•Bardockthegreat•52m ago•0 comments

Tell HN: AI is bringing back waterfall, here's what I've found

1•keepamovin•56m ago•2 comments

A Git helper tool that breaks large merges into parallelizable tasks

https://github.com/mwallner/mergetopus
3•schusterfredl•58m ago•1 comments

If You're Only Running One Claude Code Session, You're Not Going Fast Enough

https://www.scape.work/blog/you-are-not-going-fast-enough
1•bgnm2000•1h ago•1 comments

We built a Green Screen Remover tool to automate batch green screen removal

https://ugcmaker.io/green-screen-remover
1•MiaTaylor•1h ago•0 comments

Ask HN: How are you handling runtime security for your AI agents?

2•saranshrana•1h ago•0 comments

Site ranks #1 on Google. ChatGPT has never heard of you

https://www.spotlight.cx/blog/keywords-are-dead
2•soorajsanker•1h ago•1 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•11mo 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•11mo 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•11mo 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•11mo 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.