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Donut Lab – first all-solid-state battery. Production Ready Today

https://www.donutlab.com/
1•kevinak•1m ago•0 comments

F3: The Open-Source Data File Format for the Future

https://github.com/future-file-format/F3
1•tosh•1m ago•0 comments

Pope Leo calls for Venezuela to remain an independent country

https://www.reuters.com/world/americas/pope-leo-calls-venezuela-remain-an-independent-country-202...
1•sipofwater•1m ago•1 comments

YouTube Censorship (Patrick Boyle)

https://www.youtube.com/watch?v=AJP6K2_rr90
1•ziptron•4m ago•0 comments

Checklist.design A collection of the best design practices

https://www.checklist.design/
1•BaudouinVH•7m ago•0 comments

Starlink goes dark in Uganda just days before elections

https://itweb.africa/article/starlink-goes-dark-in-uganda-just-days-before-elections/G98YdMLGPYZ7...
2•NewCzech•9m ago•0 comments

Danish PM tells Trump to stop 'threats' against Greenland

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3•saubeidl•10m ago•0 comments

A "bridge month" cost to run Venezuela:$1.5B–$3.0B/month(public sources, charts)

https://www.thepricer.org/how-much-would-running-venezuela-cost-per-month/
2•jasonmomnah•11m ago•3 comments

Expensive food makes children fat

https://www.uni-bonn.de/en/news/001-2026
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The Hive Mind

https://jacquesmattheij.com/the-hive-mind/
1•rcarmo•16m ago•0 comments

Ask HN: Would you back a standards proposal to taint AI output?

1•jacquesm•17m ago•0 comments

The Future of Coding Agents

https://steve-yegge.medium.com/the-future-of-coding-agents-e9451a84207c
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Secondhand Truth

https://voidtalker.com/secondhand-truth/
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What we're talking about, when we talk about data destruction

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1•fanf2•24m ago•0 comments

The French university where spies go for training

https://www.bbc.co.uk/news/articles/c98nqeqnylro
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Show HN: I made an open-source app to interrupt nail biting

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The Year in Computer Science

https://www.quantamagazine.org/the-year-in-computer-science-20251216/
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Recovering depth from images using Markov Random Fields

https://nghiaho.com/?page_id=1366
1•vitaelabitur•35m ago•0 comments

GNU Ddrescue 1.30 Released

https://lists.gnu.org/archive/html/info-gnu/2026-01/msg00001.html
3•guiambros•42m ago•0 comments

Why I Cold-Called President Trump at 4:30 in the Morning

https://www.nytimes.com/2026/01/03/insider/trump-interview-venezuela-nyt-reporter.html
1•notmysql_•46m ago•1 comments

A Practical guide to building a parser in Go

https://gagor.pro/2026/01/a-practical-guide-to-building-a-parser-in-go/
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China Urges United States to Release Venezuelan President Maduro

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Show HN: Model2data – generate realistic synthetic data from data models

https://github.com/JB-Analytica/model2data
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How Twitch Tamed a Million Lines of TypeScript

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Perp DEXs emerge as crypto's strongest growth story in 2025

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1•AishwaryaTiwari•59m ago•0 comments

How does a president becomes a dictator? By executive order

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4•allgirl•1h ago•3 comments

Why Simple Everyday Objects Are Impossible to Make [video]

https://www.youtube.com/watch?v=pj0ze8GnBKA
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No-Ham-anuary: a retrospective on reducing my intake of processed meat

https://tomaytotomato.com/no-ham-anuary/
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NAS file sharing: Why I use both NFS and SMB protocols (2025)

https://www.xda-developers.com/why-use-both-nfs-and-smb-nas-for-file-sharing/
1•sipofwater•1h ago•2 comments

Skimfeed has changed it's url linking

1•markx2•1h ago•0 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•8mo 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•8mo 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•8mo 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•8mo 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.