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A joke domain purchase turned in geopolitical warfare

https://sprocketfox.io/xssfox/2026/08/19/sondehub-and-war/
1•kareiva•1m ago•0 comments

Giving LLM the schema docs made its wrong SQL answers more plausible, not rarer

https://quaesitor.eu/silent-failures/
1•sandovabarb•2m ago•0 comments

Show HN: An X Live Show for Indie Founders

https://x.com/jaimememb
1•Jaime_MB•2m ago•0 comments

Biological sex is neither binary nor a spectrum, it's multidimensional

https://phys.org/news/2026-08-biological-sex-binary-spectrum-biologist.html
1•samizdis•5m ago•0 comments

Ask HN: How do you access archive.today?

2•crazybonkersai•5m ago•0 comments

Show HN: Idea Katalog (200 B2B software ideas generated and researched by Fable)

https://ideakatalog.com/
1•builtbystef•8m ago•0 comments

Canadian defence companies eye idle auto plants for growth plans

https://www.theglobeandmail.com/business/article-canadian-defence-companies-auto-manufacturing-pl...
1•Teever•10m ago•0 comments

Solaar: Linux device manager for Logitech devices

https://github.com/pwr-Solaar/Solaar
1•joooscha•11m ago•0 comments

Exploring Helsinki Through the Dreamy Architecture of Eliel Saarinen

https://www.nytimes.com/2026/07/31/travel/helsinki-architecture-eliel-saarinen-art-nouveau.html
1•bookofjoe•12m ago•1 comments

Flock Has a Powerful New AI Tool for Police. We Got Its Code

https://www.wired.com/story/flock-safety-os-investigate/
2•sodality2•12m ago•0 comments

Show HN: I made an open-source chat infrastructure

https://chatpack.dev/
1•chdaniel•19m ago•3 comments

Silicon Valley Executives Are Tech Fans. Just Not for Their Own Kids

https://www.nytimes.com/2026/08/18/technology/silicon-valley-tech-fans-children.html
3•pseudolus•20m ago•1 comments

Common Mistakes I've Seen That AI-Generated Apps Keep Making

https://daniel.reguero.dev/blogs/ten-common-security-mistakes-ai-generated-apps-make
1•dreguero•20m ago•0 comments

Quipu: A Governed Bitemporal Knowledge Graph Store

https://arxiv.org/abs/2608.16813
2•ninadwrites•21m ago•0 comments

The Swiss Cheese model, pt. 2

https://unsung.aresluna.org/the-swiss-cheese-model-pt-2/
1•tobr•21m ago•0 comments

Child-monitoring apps might need a reboot

https://www.technologyreview.com/2026/08/19/1141623/child-monitoring-apps-need-reboot/
1•joozio•21m ago•0 comments

Is the World Getting Uglier?

https://time.com/article/2026/08/18/is-the-world-getting-uglier/
1•pseudolus•22m ago•0 comments

Operation Earnest Voice

https://en.wikipedia.org/wiki/Operation_Earnest_Voice
1•rbanffy•24m ago•0 comments

DNS-based Tracking Evasion (2021)

https://arxiv.org/abs/2102.09301
1•afpx•26m ago•0 comments

A leaderboard of the biggest trading losses of all time

https://www.ft.com/content/340bf9e7-0e67-4d19-b671-3dc8186efb99
1•root-parent•26m ago•1 comments

OpenAI's second-quarter sales show tepid growth compared with Anthropic

https://www.msn.com/en-us/money/companies/openai-s-second-quarter-sales-show-tepid-growth-compare...
4•PLenz•28m ago•0 comments

Your Modules Are Lying to You

https://blog.gaborkoos.com/posts/2026-08-14-Your-Modules-Are-Lying-to-You/
2•thunderbong•28m ago•0 comments

Agentic Fitness Functions: Extending Evolutionary Architecture

https://www.infoq.com/articles/agentic-fitness-functions-evolutionary-architecture/
1•raju•29m ago•0 comments

OpenAI says announcement it would buy Irish teenager's startup was a 'joke'

https://www.independent.ie/business/irish-business/openai-says-announcement-it-would-buy-irish-te...
4•mbdalpha•30m ago•1 comments

Chinese Banks Start Lending Based on AI Computing-Power Usage

https://www.globaltimes.cn/page/202608/1368315.shtml
2•aggrrrh•32m ago•0 comments

Moderna, Merck Vaccine Succeeds in Preventing Melanoma from Returning

https://www.wsj.com/health/pharma/moderna-merck-vaccine-succeeds-in-preventing-melanoma-from-retu...
5•marc__1•34m ago•2 comments

Answers Are Cheap. Questions Are the Work

https://blog.robinverlangen.nl/posts/answers-are-cheap-questions-are-the-work-26c807d8.html
2•RobinUS2•35m ago•0 comments

Confidential AI: Let AI Work for You Without Handing over Your Privacy

https://plugos.net/blog/2026/08/confidential-ai-how-plugclaw-keeps-your-ai-work-private/
2•PlugMate•35m ago•0 comments

A Calm Digital Notebook

https://paplo.app/
1•tillcarlos•37m ago•0 comments

Benchmarking Small Models for DigiKam's Natural Language Search

https://srirupa19.github.io/gsoc/2026/08/17/gsoc3.html
1•oever•39m 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.