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How Accurate Are Google's A.I. Overviews?

https://www.nytimes.com/2026/04/07/technology/google-ai-overviews-accuracy.html
1•cyndunlop•10s ago•0 comments

We Spent €11/Month Testing Docker Swarm So You Don't Have To

https://raus.cloud/blog/docker-swarm-test-11-euro-lesson/
1•eduardosanzb•56s ago•0 comments

Paradigm claims ignoring, not observing, is the key to scientific breakthroughs

https://paradigmsage.com/pop/ch-05-uncertainty/
1•allangoff•57s ago•0 comments

Body Language

https://www.terrygodier.com/body-language
1•cylo•1m ago•0 comments

Orca: A cognitive runtime layer for agents (open source)

https://github.com/gfernandf/agent-skills
1•gfernandf1•1m ago•1 comments

Two Years of Valkey

https://redmonk.com/sogrady/2026/04/06/valkey-at-two/
1•rmoff•1m ago•0 comments

Bill Phillips used flowing water to model the economy

https://www.npr.org/sections/planet-money/2026/04/07/g-s1-116575/how-bill-phillips-used-flowing-w...
1•rolph•2m ago•0 comments

How Not to Use AI? (At Work)

https://hackpravj.com/blog/how-not-to-use-ai-at-work/
1•01-_-•2m ago•0 comments

Find the latest tag for Docker images

https://www.schlachter.xyz/projects/find-the-latest-tag-for-docker-images
1•dddddaviddddd•2m ago•0 comments

Physical Engineering AI – tools for mech engineers

https://github.com/010zx00x1/Awesome-Physical-Engineering-AI
1•010zx00x1•5m ago•0 comments

Flying Ultra-Luxury from Paris

https://www.nytimes.com/2026/04/06/travel/first-class-luxury-flight-air-france-la-premiere.html
1•bookofjoe•5m ago•1 comments

Show HN: QRAuth – Open-source QR verification with passkeys and device trust

https://github.com/QRAuth-io/qrauth
1•aristech•6m ago•0 comments

Deere Settles Class Action Right-to-Repair Lawsuit

https://farmpolicynews.illinois.edu/2026/04/deere-settles-class-action-right-to-repair-lawsuit/
2•toomuchtodo•7m ago•1 comments

Teardown of unreleased LG Rollable shows why rollable phones aren't a thing

https://arstechnica.com/gadgets/2026/04/teardown-of-unreleased-lg-rollable-shows-why-rollable-pho...
2•DamnInteresting•8m ago•0 comments

Moving fast in hardware: lessons from lab to $100M ARR

https://blog.zacka.io/p/simplify-then-add-lightness-bc4
3•rryan•8m ago•0 comments

What Happened to the Ancient Bug Giants of 300M Years Ago?

https://nautil.us/what-happened-to-the-ancient-bug-giants-of-300-million-years-ago-1279562
1•Brajeshwar•8m ago•0 comments

What is 'muscle memory' and can I improve mine?

https://theconversation.com/what-is-muscle-memory-and-can-i-improve-mine-277471
2•Brajeshwar•8m ago•0 comments

My Blissful Week as a 'Do Not Disturb' Maximalist

https://www.wired.com/story/my-blissful-unbothered-life-as-a-do-not-disturb-maximalist/
1•Brajeshwar•8m ago•0 comments

The Story of Oil 1822–1922

https://www.thechemicalengineer.com/features/the-story-of-oil/
2•__natty__•8m ago•0 comments

First look at the evolution of early complex animals

https://apnews.com/article/fossil-animals-evolution-science-china-bizarre-a56a123cbad480e2c35f235...
1•gmays•9m ago•0 comments

AWS joins mass delusion that space based data centers make sense

https://aws.amazon.com/
1•boutell•9m ago•1 comments

Spooler Alert: Remote Unauth'd RCE-to-Root Chain in CUPS

https://heyitsas.im/posts/cups/
2•hnpufflib•9m ago•0 comments

Optimizing SQLite for Servers

https://kerkour.com/sqlite-for-servers
2•randomint64•10m ago•0 comments

Claude Code is locking people out for hours

https://github.com/anthropics/claude-code/issues/44257
30•sh1mmer•11m ago•11 comments

Trump: 'a whole civilisation will die tonight'

https://www.bbc.co.uk/news/live/c5yw4g3z7qgt
2•xvxvx•12m ago•1 comments

Lunar Flyby

https://www.nasa.gov/gallery/lunar-flyby/
2•kipi•12m ago•0 comments

Building EU payment infra for agents

https://github.com/whire-ai/whire-python-sdk
1•pyjka•14m ago•1 comments

Show HN: Testreel – Programmatic product demo videos from JSON and Playwright

https://github.com/greentfrapp/testreel
2•greentfrapp•14m ago•0 comments

Why Japanese has words for feelings we tend to ignore (mono no aware)

https://rajavijayaraman.com/writing/mono-no-aware/
1•rajavijayaraman•14m ago•0 comments

Show HN: VibeAround – Use Claude Code, Codex, Cursor from IM, Built on ACP (

https://github.com/jazzenchen/VibeAround
1•jazzen•14m ago•0 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.