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Jujutsu 0.45.0

https://github.com/jj-vcs/jj/releases/tag/v0.45.0
1•birdculture•1m ago•0 comments

Shewv.com 40% Off

https://Shewv.com/en
1•TryLath•1m ago•0 comments

Neovim new async Lua API

https://neovim.io/doc/user/lua-async/
1•olexsmir•3m ago•0 comments

Rendrflow your on device photo editing

https://play.google.com/store/apps/details?id=com.saif.example.imageupscaler&hl=en_US
1•hacker7777•3m ago•0 comments

A Week of Bug Reporting

https://tratt.net/laurie/blog/2022/a_week_of_bug_reporting.html
1•luu•4m ago•0 comments

Ask HN: Should internal services ever receive raw customer PII?

1•Securelytixdev•6m ago•0 comments

Apple Is Testing a Four-HomePod Surround System, Code Suggests

https://www.macrumors.com/2026/09/04/apple-testing-four-homepod-surround-system/
1•tosh•11m ago•0 comments

Simple Made Easy

https://github.com/matthiasn/talk-transcripts/blob/master/Hickey_Rich/SimpleMadeEasy.md
2•Bluestein•14m ago•0 comments

A free web app that tells you what to fix after a bad espresso shot

https://dialyourshot.com/
1•pirotechnique•15m ago•0 comments

These Linux distros run in RAM and barely touch your SSD

https://www.makeuseof.com/these-awesome-linux-distros-run-completely-in-ram-and-barely-touch-your...
1•ColinWright•17m ago•0 comments

Colorado Sees First Lawsuit Under 'Right to Repair' Law

https://www.techdirt.com/2026/09/03/colorado-sees-first-lawsuit-under-right-to-repair-law/
1•SockThief•17m ago•0 comments

Fusion Dreams Drive High-Temperature Superconductor Quest

https://spectrum.ieee.org/high-temperature-superconductor-ai-research
1•rbanffy•19m ago•0 comments

Bun v1.4.1

https://bun.com/blog/bun-v1.4.1
2•ErenayDev•23m ago•0 comments

Scientists observe Einstein's gravity in the quantum world

https://www.eurekalert.org/news-releases/1141933
1•_hao•24m ago•0 comments

Whistle Synth

https://www.jefftk.com/p/whistle-synth-mac-app
1•luu•27m ago•0 comments

Tracing np.add, all the way down

https://blog.veitheller.de/numpy.html
1•luu•29m ago•0 comments

A preview of the future IA documentation

https://intel.github.io/SDM/announcement/2026/08/20/announce-preview.html
1•luu•34m ago•0 comments

Sudden Unexpected Death in the Pfizer Trial: A Pharmacovigilance Failure

https://esmed.org/MRA/mra/article/view/7810/99193550508
1•inanothertime•36m ago•0 comments

Hot take on GPT-6 Astra

https://garymarcus.substack.com/p/hot-take-on-gpt-6-astra
2•Bluestein•36m ago•2 comments

By 2029 no computer or "machine intelligence" will have passed the Turing Test

https://longbets.org/1/
1•tetris11•36m ago•0 comments

Nvidia's AVO harness boosts Opus 5 to 100% on ARC-AGI 3

https://developer.nvidia.com/blog/nvidia-avo-reaches-100-on-arc-agi-3-demonstrating-a-frontier-le...
1•irthomasthomas•39m ago•0 comments

Cybercab motor uses no rare earth metals

https://twitter.com/elonmusk/status/2095720611695759704
2•tosh•47m ago•0 comments

German Government abandons plan for BSI constitutional amendment

https://www.heise.de/en/news/Cybersecurity-Government-abandons-plan-for-BSI-constitutional-amendm...
2•doener•51m ago•0 comments

Which European league is hardest to predict? 52,471 matches with closing odds

https://pythiafootball.com/research/hardest-league-to-predict/
1•Yiannis91•52m ago•0 comments

Punktfunk – Game streaming that outgrew GameStream

https://punktfunk.unom.io/en/
2•sagacity•53m ago•0 comments

Nerdminer mines xcoin on a Mac using new consensus algoritm

https://medium.com/@knexcoin/why-a-macbook-beats-a-mining-warehouse-on-metaldag-3c0e4f498b87
1•winnertakeall•57m ago•0 comments

A hundred coffee machines and the joy of small open source

https://sjg.io/writing/a-hundred-coffee-machines-and-the-joy-of-small-open-source/
1•simonjgreen•1h ago•0 comments

CERN Transitioning Computers To Debian After Being A Longtime RHEL Institution

https://www.phoronix.com/news/CERN-Goes-Debian-Leaving-RHEL
4•thunderbong•1h ago•1 comments

Kraaken: A Ship, Power Plant, Reservoir and Data Centre in One

https://energydigital.com/news/kraaken-a-ship-power-plant-reservoir-data-centre-in-one
1•geox•1h ago•0 comments

Show HN: Professional Security Testing Platform

https://bugbounty-arsenal.net/
3•foxvr•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.