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I went back to Linux and it was a mistake

https://www.theverge.com/report/875077/linux-was-a-mistake
1•timpera•1m ago•1 comments

Octrafic – open-source AI-assisted API testing from the CLI

https://github.com/Octrafic/octrafic-cli
1•mbadyl•2m ago•1 comments

US Accuses China of Secret Nuclear Testing

https://www.reuters.com/world/china/trump-has-been-clear-wanting-new-nuclear-arms-control-treaty-...
1•jandrewrogers•3m ago•0 comments

Peacock. A New Programming Language

1•hashhooshy•7m ago•1 comments

A postcard arrived: 'If you're reading this I'm dead, and I really liked you'

https://www.washingtonpost.com/lifestyle/2026/02/07/postcard-death-teacher-glickman/
2•bookofjoe•9m ago•1 comments

What to know about the software selloff

https://www.morningstar.com/markets/what-know-about-software-stock-selloff
2•RickJWagner•12m ago•0 comments

Show HN: Syntux – generative UI for websites, not agents

https://www.getsyntux.com/
3•Goose78•13m ago•0 comments

Microsoft appointed a quality czar. He has no direct reports and no budget

https://jpcaparas.medium.com/ab75cef97954
2•birdculture•13m ago•0 comments

AI overlay that reads anything on your screen (invisible to screen capture)

https://lowlighter.app/
1•andylytic•15m ago•1 comments

Show HN: Seafloor, be up and running with OpenClaw in 20 seconds

https://seafloor.bot/
1•k0mplex•15m ago•0 comments

Tesla turbine-inspired structure generates electricity using compressed air

https://techxplore.com/news/2026-01-tesla-turbine-generates-electricity-compressed.html
2•PaulHoule•16m ago•0 comments

State Department deleting 17 years of tweets (2009-2025); preservation needed

https://www.npr.org/2026/02/07/nx-s1-5704785/state-department-trump-posts-x
2•sleazylice•16m ago•1 comments

Learning to code, or building side projects with AI help, this one's for you

https://codeslick.dev/learn
1•vitorlourenco•17m ago•0 comments

Effulgence RPG Engine [video]

https://www.youtube.com/watch?v=xFQOUe9S7dU
1•msuniverse2026•19m ago•0 comments

Five disciplines discovered the same math independently – none of them knew

https://freethemath.org
4•energyscholar•19m ago•1 comments

We Scanned an AI Assistant for Security Issues: 12,465 Vulnerabilities

https://codeslick.dev/blog/openclaw-security-audit
1•vitorlourenco•20m ago•0 comments

Amazon no longer defend cloud customers against video patent infringement claims

https://ipfray.com/amazon-no-longer-defends-cloud-customers-against-video-patent-infringement-cla...
2•ffworld•20m ago•0 comments

Show HN: Medinilla – an OCPP compliant .NET back end (partially done)

https://github.com/eliodecolli/Medinilla
2•rhcm•23m ago•0 comments

How Does AI Distribute the Pie? Large Language Models and the Ultimatum Game

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6157066
1•dkga•24m ago•1 comments

Resistance Infrastructure

https://www.profgalloway.com/resistance-infrastructure/
3•samizdis•28m ago•1 comments

Fire-juggling unicyclist caught performing on crossing

https://news.sky.com/story/fire-juggling-unicyclist-caught-performing-on-crossing-13504459
1•austinallegro•29m ago•0 comments

Restoring a lost 1981 Unix roguelike (protoHack) and preserving Hack 1.0.3

https://github.com/Critlist/protoHack
2•Critlist•30m ago•0 comments

GPS and Time Dilation – Special and General Relativity

https://philosophersview.com/gps-and-time-dilation/
1•mistyvales•34m ago•0 comments

Show HN: Witnessd – Prove human authorship via hardware-bound jitter seals

https://github.com/writerslogic/witnessd
1•davidcondrey•34m ago•1 comments

Show HN: I built a clawdbot that texts like your crush

https://14.israelfirew.co
2•IsruAlpha•36m ago•2 comments

Scientists reverse Alzheimer's in mice and restore memory (2025)

https://www.sciencedaily.com/releases/2025/12/251224032354.htm
2•walterbell•39m ago•0 comments

Compiling Prolog to Forth [pdf]

https://vfxforth.com/flag/jfar/vol4/no4/article4.pdf
1•todsacerdoti•40m ago•0 comments

Show HN: Cymatica – an experimental, meditative audiovisual app

https://apps.apple.com/us/app/cymatica-sounds-visualizer/id6748863721
1•_august•42m ago•0 comments

GitBlack: Tracing America's Foundation

https://gitblack.vercel.app/
12•martialg•42m ago•1 comments

Horizon-LM: A RAM-Centric Architecture for LLM Training

https://arxiv.org/abs/2602.04816
1•chrsw•42m ago•0 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•9mo 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•9mo 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•9mo 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•9mo 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.