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Artist with no technical experience stumbles upon the next generation of LLMs

1•itakechops•2m ago•0 comments

Carbon: An open-source DNA foundation model 275× faster than prior art

https://huggingface.co/spaces/HuggingFaceBio/carbon-demo
1•victormustar•3m ago•0 comments

Cities: Skylines Uses a Stock-Market Analogy to Influence Gameplay

http://jkm.dev/posts/cities-skylines-trading-market/
2•birdculture•7m ago•0 comments

How Big Tech is harnessing the data of Indian factory workers to train robots

https://scroll.in/article/1092960/how-big-tech-is-harnessing-the-data-of-indian-factory-workers-t...
1•theletterf•7m ago•0 comments

Goodbye ChatGPT

https://alexieidingli.medium.com/goodbye-chatgpt-a60bcf6b7c5b
2•andsoitis•10m ago•1 comments

Bolt CEO let go of his HR team for creating problems that didn't exist

https://fortune.com/2026/05/19/bolt-ceo-ryan-breslow-cut-hr-department-causing-problems-fintech-s...
1•e2e4•11m ago•2 comments

Honeybee venom and melittin suppress growth in breast cancer (2020)

https://pubmed.ncbi.nlm.nih.gov/32923684/
1•blumomo•13m ago•0 comments

The Sky Heist

https://www.skyheist.me/
1•clivehays•24m ago•0 comments

Ask HN: How to make a mono-repo AI-Ready?

1•kasnaka•29m ago•0 comments

Velocipedia

https://www.gianlucagimini.it/portfolio-item/velocipedia/
2•vintagedave•30m ago•0 comments

PostgreSQL backup tool gets some backup of its own

https://www.theregister.com/databases/2026/05/20/postgresql-backup-tool-gets-some-backup-of-its-o...
2•jjgreen•34m ago•0 comments

Public have more fear than hope on AI and future of work, study finds

https://www.kcl.ac.uk/news/one-in-five-britons-think-ai-will-create-civil-unrest-study-finds
4•geox•35m ago•1 comments

Coding Slow Is Smooth, Coding Smooth Is Fast

https://daily.tinyprojects.dev/207
1•tinyprojects•37m ago•1 comments

Show HN: Kreuzberg Cloud – ultra fast content intelligence – in public beta

https://kreuzberg.dev
3•nhirschfeld•37m ago•4 comments

Show HN: Widget Cast – Video Widgets for Your iPhone and Apple Watch

1•kingofspain•42m ago•0 comments

Elevated radiation levels detected on Russian drone debris

https://unn.ua/en/news/elevated-radiation-levels-detected-on-russian-drone-debris-striking-elemen...
4•defly•43m ago•0 comments

The Fallacy of Levelized Cost and the Politics of Demand

https://systemsthinkingcollection.substack.com/p/sustainable-energy
2•InputName•49m ago•0 comments

Google Antigravity 2.0

https://antigravity.google/blog/introducing-google-antigravity-2-0
2•haizhung•50m ago•0 comments

The weird, wild story of humanity's obsession with gold

https://www.economist.com/culture/2026/05/14/the-weird-wild-story-of-humanitys-obsession-with-gold
2•andsoitis•52m ago•0 comments

Watch RT Live Anywhere in the World

https://rtlive.ru
2•dorkel•57m ago•0 comments

Pay Attention – Jon Haidt's Commencement Address at NYU

https://www.theatlantic.com/ideas/2026/05/nyu-jonathan-haidt-commencement-speech/687168/
2•gladuz•57m ago•0 comments

Blood Pumping Mechanism of the Hoof

https://horses.extension.org/blood-pumping-mechanism-of-the-hoof/
2•thunderbong•58m ago•0 comments

Show HN: Agent thread – Share claude code and codex sessions as public links

https://agent-thread.com
1•pixxxel•58m ago•0 comments

Optimizing Your PowerShell $Profile

https://devblogs.microsoft.com/powershell/optimizing-your-profile/
2•ankitg12•59m ago•0 comments

"An (important) message from Infomaniak's founder"

7•netfortius•1h ago•1 comments

Google is rolling out its redesigned Workspace app icons

https://www.theverge.com/tech/932417/google-gmail-docs-cal-sheets-workspace-icon-redesign
2•xanthine•1h ago•2 comments

I Decided to Leave Mistral

https://twitter.com/Briviagra/status/2056975510731698188
2•defly•1h ago•2 comments

A small revolt against bloated software

https://www.f-rello.com/manifesto
2•karstenb•1h ago•0 comments

Proposal: Surface=Laterite

https://wiki.openstreetmap.org/wiki/Proposal:Surface%3Dlaterite
1•altilunium•1h ago•0 comments

Ask HN: Sorry, what Was FiveThirtyEight?

2•gagdiez•1h ago•2 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.