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Math of Spider Wbes

https://digitalcommons.denison.edu/cgi/viewcontent.cgi?article=1036&context=synapse
1•marysminefnuf•5m ago•0 comments

Berkeley Mystery Walls

https://www.atlasobscura.com/places/berkeley-mystery-walls
1•Jimmc414•12m ago•0 comments

Roomy Is Generally Available

https://blog.roomy.space/3mplw6vvw4s23
1•abc42•13m ago•1 comments

How to Visualize Millions of Parcels on a Map

https://walker-data.com/posts/millions-of-parcels/
1•the-mitr•13m ago•0 comments

KDE Linux Experiences

https://akselmo.dev/posts/kde-linux-experiences/
1•watermelon0•15m ago•0 comments

4 in 10 travellers visit tourist sites to capture social media content

https://www.tuigroup.com/en/newsroom/news/travel-in-the-age-of-scrolling-tui-musement-research-re...
10•Markoff•24m ago•6 comments

ESP32-S31 dual-core RISC-V SoC is getting official Linux support

https://www.cnx-software.com/2026/08/22/espressif-systems-releases-a-linux-bsp-developer-preview-...
1•pyprism•25m ago•0 comments

Meta $1.4T threat could mean 'turning in the keys and walking away'

https://fortune.com/article/meta-faces-1-4-trillion-threat-stakes-of-case-reach-across-tech-08-20...
3•1vuio0pswjnm7•33m ago•2 comments

GPT 5.6 Sol 20% price reduction

https://developers.openai.com/api/docs/models/gpt-5.6-sol
2•izakfr•33m ago•1 comments

Suspicions of hitting daughter between a congressman and his ex-wife

https://www.washingtonpost.com/investigations/2026/08/21/inside-police-investigation-how-rep-max-...
2•doctorpangloss•35m ago•1 comments

Fighter jets help destroy Russian drone boat near European offshore gas platform

https://arstechnica.com/gadgets/2026/08/explosive-russian-drone-boat-destroyed-near-european-offs...
1•jnord•35m ago•0 comments

I built an open-source FACEIT stats Browser Source for OBS

https://faceitwidget.com/
1•nachete•40m ago•0 comments

Firezone REST API generally available

https://www.firezone.dev/blog/rest-api-ga
1•jamilbk•44m ago•0 comments

Prevention of myopia in a near-primate by supplemental indigo light

https://pubmed.ncbi.nlm.nih.gov/42612637/
1•OutOfHere•49m ago•1 comments

I tested 20 "agent-ready" Shopify stores –> 25% silently break at add-to-cart

https://github.com/MythrilS/agent-ready-checkout
1•MythrilS•56m ago•0 comments

Limnic Eruption

https://en.wikipedia.org/wiki/Limnic_eruption
2•tchalla•58m ago•0 comments

EchoCoT: Extracting Hidden Chain-of-Thought from Large Reasoning Models

https://arxiv.org/abs/2608.20055
1•sbulaev•59m ago•0 comments

Finding a hidden Mersenne Twister inside a 15 year old game binary

https://medium.com/@jizoskasa/i-reverse-engineered-plants-vs-zombies-to-answer-one-very-specific-...
1•signa11•1h ago•0 comments

New U.S. tariffs to take effect after midnight, Canada plans to match levies

https://www.cbc.ca/lite/story/9.7310605
4•morkalork•1h ago•1 comments

France issues warning over substandard condoms

https://www.dw.com/en/france-issues-warning-over-thousands-of-substandard-condoms/a-78462877
2•tchalla•1h ago•0 comments

Inevitable Architecture

https://lebbeuswoods.wordpress.com/2012/07/09/inevitable-architecture/
1•cl42•1h ago•0 comments

Chinese regulators tell Tesla: fix 3M cars

https://arstechnica.com/cars/2026/08/chinese-regulators-tell-tesla-to-fix-nearly-3-million-cars/
2•worik•1h ago•0 comments

King of the Indie Hacker? Will You Claim the Throne?

https://www.kingoftheindiehacker.lol
1•mattmerrick•1h ago•0 comments

Neo: A novel writing tool from Hugh Howey

https://hughhowey.com/introducing-neo/
1•js2•1h ago•0 comments

Getting Freaky in the Age of AI

https://www.iankduncan.com/engineering/2026-08-07-getting-freaky-in-the-age-of-ai/
1•jbott•1h ago•0 comments

Ebb: A Privacy-First Period Tracker

https://ebb.lyfmail.com
1•LYFMail•1h ago•1 comments

People are vandalizing Flock surveillance cameras

https://www.npr.org/2026/08/21/nx-s1-5939851/flock-cameras-police-block-surveillance-vandalize
2•0in•1h ago•0 comments

Linus: And this was a debug session from hell, enormously helped by an AI

https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/commit/?id=818bebeb63dd6bf5f4e...
2•Garbage•1h ago•0 comments

Giving an LLM your prod database is easy. Taking access away is the hard part

https://deepsql.ai/blog/giving-an-llm-your-database-is-easy-taking-access-away-is-hard
2•venkat971•1h ago•1 comments

Show HN: A fruit fly on the web powered by the real FlyWire connectome

https://github.com/DustinBrett/daedalOS
1•DustinBrett•1h 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.