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What will happen when a SpaceX rocket collides with the Moon?

https://www.bbc.co.uk/news/articles/cx25yn22l97o
1•edward•1m ago•0 comments

AI Data Centers Are Driving Up Power Bills – This Map Shows Where

https://www.gadgetreview.com/ai-data-centers-are-driving-up-power-bills-this-map-shows-where
2•01-_-•1m ago•0 comments

Momito – local hold-to-talk dictation for macOS, free and offline

https://github.com/velvetchief/momito
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Hop.earth – OpenStreetMap based car racing game

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Color Night Vision Device

https://www.science.org/doi/10.1126/sciadv.aed0245
1•gtsnexp•4m ago•0 comments

Silico: a platform for AI research

https://www.goodfire.com/get-silico
1•johmathe•5m ago•0 comments

Mea Culpa: Apple Confesses It Can't Keep Up with AI Bug Reports

https://securityboulevard.com/2026/08/mea-culpa-apple-confesses-it-cant-keep-up-with-ai-bug-reports/
1•CrankyBear•8m ago•0 comments

BirdingPal: ChatGPT-enabled partner for identifying birds

https://github.com/openai/birdingpal
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Show HN: Hackercast – Listen to Hacker News stories as a podcast

https://hackercast.app
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The Psychedelic Toad of the Sonoran Desert

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The New Shape of Search: How Conversational AI Recomposes Information Seeking

https://arxiv.org/abs/2607.04282
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Mux Chooses a CDN in 9.9ms

https://www.mux.com/blog/how-mux-chooses-a-cdn-in-9-9ms
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Data Centers Broke American Politics

https://www.wired.com/story/how-data-centers-broke-american-politics/
3•mapping365•13m ago•0 comments

AI's seven decade boom/bust cycle and the human origin of the term

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2•SLHamlet•13m ago•0 comments

Could the world survive biological war?

https://observer.co.uk/culture/books/article/could-the-world-survive-biological-war
1•millitzer•13m ago•0 comments

Your AI Sounds Certain. Look at Where It Learned That

https://medium.com/@alanscottencinas/your-ai-sounds-certain-look-at-where-it-learned-that-2ae77aa...
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'This is insider trading by definition': Trump sells $100k monthly subscription

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3•petethomas•13m ago•1 comments

Vlt 1.0 and Hosted Package Registries

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Soppo: Golang with the Features It's Missing

https://soppolang.dev/
1•fanf2•16m ago•0 comments

Evolution in the Social Brain (2007)

https://pubmed.ncbi.nlm.nih.gov/17823343/
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AI News for Vibe Coders – Daily Brief (August 4, 2026)

https://ddsboston.com/blogs/vibe-code-academy/ai-news-for-vibe-coders-daily-2026-08-04
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https://github.com/kirodotdev/KiroCrew
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This Month in Ladybird: July 2026

https://buttondown.com/ladybird/archive/this-month-in-ladybird-july-2026/
2•bpierre•18m ago•1 comments

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https://www.youtube.com/watch?v=NYFkOYHnJkk
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https://www.sciencedirect.com/science/article/abs/pii/S1057740811000209
1•simonebrunozzi•18m ago•0 comments

Effects of LLM-Powered Search Systems on Diverse Information Seeking (2024)

https://arxiv.org/abs/2402.05880
1•wslh•19m ago•0 comments

America's 'weird' and 'unwise' intervention in the Japanese yen

https://www.msn.com/en-us/money/general/america-s-weird-and-unwise-intervention-in-the-japanese-y...
2•petethomas•20m ago•0 comments

TackNote, stick a Mac note to the task instead of to your desktop

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What's Behind the Sharp Drop in Labor Force Participation?

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Macrocyclic peptides: a new goldilocks drug class?

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1•brandonb•22m 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.