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Young South Korean investors are finding company in collective misery

https://www.businessinsider.com/young-south-korean-investors-humor-cope-kospi-stock-market-rout-2...
1•mapping365•38s ago•0 comments

Show HN: Misalignments when using AI for hacking

https://blog.vulnetic.ai/ai-misalignment-and-penetration-testing-e812194b67ca?sharedUserId=Vulnet...
1•danieltk76•7m ago•0 comments

A Lightweight Open-Source LLM Benchmark Tool – Compare Any Model on OpenRouter

https://cheikhhseck.medium.com/i-built-a-llm-benchmark-tool-and-tested-it-on-free-models-heres-wh...
1•cheikhdev•10m ago•0 comments

Zigbee vs. Matter over Thread:Understanding IoT Protocol Performance in Practice

https://arxiv.org/abs/2603.04221
2•teleforce•11m ago•0 comments

Bugtraq Is Back

https://lists.securityfocus.com/hyperkitty/list/bugtraq@securityfocus.com/thread/CHKLXLA7SJEWLDFH...
2•bashtoni•16m ago•0 comments

Spotted: Mac Studio with M3 Ultra 256GB RAM and M4 Max with 128GB RAM

https://gpuquicklist.com/blog/m3-ultra-256-and-m4-max-128
1•kristianp•19m ago•0 comments

Flowise Is Shutting Down

https://flowiseai.com/sunset
3•llmgraph•19m ago•1 comments

The Myth of the Food Desert

https://www.newyorker.com/magazine/2026/08/03/food-justice-undone-hanna-garth-book-review
1•delichon•20m ago•0 comments

US has used 'virtually all' of its long-range precision missiles during Iran war

https://www.reuters.com/world/us-has-used-virtually-all-its-long-range-precision-missiles-during-...
2•dataflow•21m ago•0 comments

Feynman's Office; the Last Blackboards [pdf]

https://aip.brightspotcdn.com/PTO.v42.i2.88_1.online.pdf
1•tylerdane•21m ago•1 comments

Eight Myths on Software Engineering and GenAI

https://queue.acm.org/detail.cfm?id=3807963
5•tchalla•31m ago•0 comments

White House excludes open models from framework to test advanced AI capabilities

https://www.axios.com/2026/08/04/trump-ai-framework-open-models
1•petethomas•31m ago•0 comments

Poetry Camera

https://poetry.camera/
1•karakoram•31m ago•0 comments

Lorem Slopsum

https://macro.land/blog/lorem-slopsum/
1•priyadarshy•34m ago•0 comments

Standalone Touch ID Sensor for Mac

https://github.com/zimengxiong/tinytouch
2•ls-a•36m ago•1 comments

Show HN: Find what users want by analyzing app reviews

https://seam.obverselabs.com/
2•OtmaneBenazzou•37m ago•0 comments

Nobody Was Watching: Anthropic, OpenAI, and Open Models

https://substack.norabble.com/p/nobody-was-watching
2•nedruod•40m ago•0 comments

So What's Up with That New CPanel Database Vulnerability?

https://lowendbox.com/blog/so-whats-up-with-that-new-cpanel-database-vulnerability/
1•shaunpud•42m ago•0 comments

Pigeons: SSH Anywhere, Built on Iroh

https://pigeons.computer/
3•AceJohnny2•43m ago•1 comments

2D Vortex Dynamics

https://lee-phillips.org/vortex/
2•leephillips•46m ago•0 comments

US yen intervention signals perfect storm rising in FX and bond markets

https://www.reuters.com/commentary/reuters-open-interest/us-yen-intervention-signals-perfect-stor...
3•mapping365•47m ago•1 comments

Advanced Lawnmower Simulator (1988)

https://en.wikipedia.org/wiki/Advanced_Lawnmower_Simulator
3•yzydserd•47m ago•0 comments

I'm (mostly) picking models on speed now, not intelligence

https://martinalderson.com/posts/speed-vs-intelligence/
2•birdculture•48m ago•0 comments

Appeals Court Agrees with EFF That Building a Web Browser Doesn't Violate CFAA

https://www.eff.org/deeplinks/2026/08/appeals-court-agrees-eff-building-web-browser-doesnt-violat...
8•iamnothere•49m ago•1 comments

Is It Possible to Make Smart Glasses That Aren't Creepy?

https://www.wired.com/story/is-it-possible-to-make-privacy-friendly-smart-glasses/
2•bushwart•50m ago•1 comments

IP and DNS Leaks in WebKit Affecting Proxy Browsers and iCloud Private Relay

https://mysk.blog/2026/08/04/webkit-proxy-icloud-private-relay-ip-leak/
15•lapcat•50m ago•0 comments

TikTok Withheld a Safety Feature from Millions. One Died by Suicide

https://www.bloomberg.com/news/features/2026-08-04/confidential-tiktok-report-shows-algorithm-saf...
2•petethomas•52m ago•0 comments

Crash experiences of highly automated vehicles and human drivers

https://www.iihs.org/api/datastoredocument/bibliography/2374
2•bushwart•53m ago•1 comments

OpenAI pays $3.2M in US probe over hiring foreign workers

https://www.reuters.com/business/openai-pays-32-million-us-probe-over-hiring-foreign-workers-2026...
6•alephnerd•55m ago•0 comments

Pass the Passkey: A Novel Attack Surface in Passwordless Authentication

https://unit42.paloaltonetworks.com/passwordless-authentication-security-risks/
19•jchanimal•59m ago•10 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.