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OSS Author of Guake, HTTPretty, Lettuce and Sure is unemployed and needs help

https://twitter.com/gabrielfalcao/status/2102928197910151604
1•gfalcao•1m ago•0 comments

Chrome Extension Job Alerts

https://www.talentize.com
1•talentize•7m ago•0 comments

The Death of Reading (With James Marriott) [audio]

https://www.econtalk.org/the-death-of-reading-with-james-marriott/
1•mooreds•12m ago•0 comments

Graph Technology Roundup – August 2026

https://gdb-engines.com/blog/graph-technology-august-round-up/
1•cjlm•14m ago•0 comments

Why China Can't Innovate (2014)

https://bambooinnovator.com/2014/02/19/why-china-cant-innovate/
1•NordStreamYacht•14m ago•0 comments

An Interview with Rich Jaycobs

https://sfcompute.com/news/commodity-markets
1•flaque•16m ago•0 comments

The Complete History of the Elves of Middle-Earth [video]

https://www.youtube.com/watch?v=ENbgJUfuVbY
1•mooreds•18m ago•0 comments

A Key Safety Feature Shipped in the May OpenTofu Release

https://newsletter.masterpoint.io/p/a-key-safety-feature-shipped-in-the-may-opentofu-release
1•mooreds•19m ago•0 comments

Show HN: A game about fake news and memes

https://unspin.app/
1•azermite•21m ago•1 comments

Rendering pull requests in the GitHub Copilot app

https://github.blog/engineering/user-experience/rendering-huge-pull-requests-in-the-github-copilo...
1•iamsyr•30m ago•1 comments

Australia says OpenAI agent hacked into government website

https://www.channelnewsasia.com/world/australia-openai-agent-breach-government-portal-6406411
5•doppp•30m ago•0 comments

Pentagon Investigating How F-35 Fighter Jet Parts Bound for US Were Diverted

https://www.military.com/pentagon-investigating-how-f-35-fighter-jet-parts-bound-for-us-were-dive...
3•harry_nutsachs•31m ago•2 comments

AP: Avoid language that gives [AI] human characteristics

https://twitter.com/APStylebook/status/2102807962364383502
3•jaredwiener•34m ago•0 comments

Qubits on NonQuantum HW Tested

https://laurinseclab.substack.com/p/breaking-news-makrogravintelligence
3•Rniznan•34m ago•0 comments

Liquid Network Security Incident Assessment

https://blog.blockstream.com/liquid-network-security-incident-assessment/
2•greyface-•35m ago•0 comments

FLAWED's Flaws and What This Means for Industry Research

https://suhacker.ai/p/flaweds-flaws-and-what-this-means-for-industry-research/
8•tob_scott_a•37m ago•1 comments

Geminigravit Core: De la teoría estática

https://gemini.google.com/app/3952a805cd6ad7a3
2•jccrcabello•39m ago•0 comments

We used an AI agent to fix an open-source bug. Someone asked to ban us

https://github.com/saulpw/visidata/pull/3229
12•maxcr•39m ago•13 comments

Shadow roots, explained with live examples

https://tools.simonwillison.net/shadow-roots
2•vismit2000•41m ago•0 comments

Show HN: Does per-step reasoning effort save money in Claude Code?

https://github.com/ifoster01/jev-effort
2•ifoster41901•46m ago•0 comments

Show HN: ChaosTree – Cache-Aware Java NavigableMap and NavigableSet Library

https://github.com/Chaos-vy/ChaosTree
1•chaos_vy•46m ago•0 comments

Show HN: Posting Puzzle – A Game Made of Post's Correspondence Problem

https://mametter.itch.io/posting-puzzle
1•mametter•47m ago•1 comments

AI startups with hyper ARR growth – what's happening inside these companies?

1•d675•49m ago•0 comments

Nesbox: A fast MicroVM with GPU sharing

https://github.com/nestrilabs/nesbox
1•WanjohiRyan•50m ago•0 comments

Using my transit card data to create a year in review experience

https://cailinpitt.com/blog/2026/9/1/chicago-transit-authority-wrapped
1•classictraffic•51m ago•0 comments

Virtio-nvgpu: Near-native Nvidia GPU access inside a KVM guest

https://github.com/nestrilabs/virtio-nvgpu
2•WanjohiRyan•52m ago•0 comments

Scientists build most accurate atomic clock

https://phys.org/news/2026-09-scientists-world-accurate-atomic-clock.html
1•wglb•54m ago•1 comments

AI Has Cracked the Most Diabolical Problems in Math. Why Can't It Solve Chess?

https://www.wsj.com/tech/ai/chess-artificial-intelligence-ai-e969a830
1•sonabinu•54m ago•0 comments

lm-detector: Model fingerprint detection on Web and CLI

https://github.com/Ikaleio/lm-detector/
1•csmantle•58m ago•0 comments

SnakeCharmer: Fuzzing Harness Generation for Pure and Hybrid Python Libraries [pdf]

https://futures.cs.utah.edu/papers/26FSE-b.pdf
3•luu•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.