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NASA has a Dragon dilemma, and there appear to be no good answers

https://arstechnica.com/space/2026/09/nasa-has-a-dragon-dilemma-and-there-appear-to-be-no-good-an...
1•kklisura•2m ago•0 comments

Agda Implementors' Meeting Xliii

https://wiki.portal.chalmers.se/agda/Main/AIMXLIII
2•m_j_g•7m ago•0 comments

September 2026: The world today, as seen by one Polish guy

https://tomwojcik.com/posts/2026-09-21/september-2026-the-world-today/
2•marjancek•8m ago•0 comments

Symblicity: Stack-Based Bidirectional Esoteric Language

https://ethan31415.github.io/Symblicity/
2•HeapDweller•9m ago•1 comments

List of Citogenesis Incidents

https://en.wikipedia.org/wiki/Wikipedia:List_of_citogenesis_incidents
1•stymaar•9m ago•0 comments

DeepSeek, Huawei partner on chip programming tools to reduce reliance on Nvidia

https://www.reuters.com/world/asia-pacific/deepseek-partners-with-huawei-develop-chip-programming...
2•GloVin•10m ago•0 comments

Tick, tock, tick, tock Bing (2009)

https://www.vetta.org/2009/12/tick-tock-tick-tock-bing/
1•6bitquant•10m ago•0 comments

Keystone

https://open-vsx.org/extension/Bartholomew/bartholomew-keystone
1•itsub_sa•10m ago•0 comments

Indie app developer accuses Vietnamese builder of copying his app

https://x.com/i/trending/2105190459069084156
1•soltanov•11m ago•0 comments

Ask HN: Any other ChatGPT Pro Subscribers get emailed 62,500 Tokens?

1•wincy•11m ago•0 comments

Show HN: I made my first $150 within 24 hour of launch

1•macsentinel•14m ago•2 comments

Show HN: A small side project for even colour scales

https://colours.viesual.net/
1•vie00001•18m ago•0 comments

Chat is the wrong shape for curiosity, so I made it branch

https://www.echohive.ai/drift
1•echohive42•18m ago•0 comments

AI models keep posting screenshots showing sensitive data from tech companies

https://www.theregister.com/ai-and-ml/2026/09/29/ai-models-keep-posting-screenshots-showing-sensi...
1•Betelbuddy•19m ago•0 comments

Coming Soon: Our 2026 List of Climate Tech Companies to Watch

https://www.technologyreview.com/2026/09/29/1145183/2026-climate-tech-companies-to-watch-preview/
1•joozio•19m ago•0 comments

ChatGPT's new plan costs $500 a month

https://www.businessinsider.com/chatgpt-new-plan-pro-500-cost-compute-allowance-2026-9
2•giosch•20m ago•0 comments

GLM 5.3 flash on AMD GPUs 670 tok/s

https://twitter.com/runinfrai/status/2105186912634057086
2•OsamaJaber•23m ago•0 comments

Long-term nuclear waste warning messages

https://en.wikipedia.org/wiki/Long-term_nuclear_waste_warning_messages
1•johnnyApplePRNG•25m ago•0 comments

Leela Chess Zero – Self-Learning Neural Network

https://lczero.org/
1•modinfo•26m ago•0 comments

Operational HPC lessons learnt training the Tessera geospatial foundation models [pdf]

https://www.cl.cam.ac.uk/~avsm2/tessera-hpc-report-20260922.pdf
1•matt_d•31m ago•0 comments

Caisi Cyber Evaluations

https://github.com/usnistgov/caisi-cyber-evals
1•soltanov•32m ago•0 comments

All Watched over by Machines of Loving Grace

https://www.readingdesign.org/all-watched-over-by-machines
2•sayamss•35m ago•2 comments

New Frontiers

https://www.proximal.ai/blog/new-frontiers/
1•doppp•35m ago•0 comments

Six Flags Magic Mountain retires X2 roller coaster amid brain injury lawsuits

https://apnews.com/article/six-flags-x2-roller-coaster-lawsuits-injuries-225c195a3549fee3637eed99...
1•lode•36m ago•0 comments

Postgres with QUIC

https://blogs.lupyd.com/blog/postgres-with-quic/
7•tenesripranav•37m ago•0 comments

CAISI's Assessment of Z.ai's GLM-5.3 Cyber Capabilities

https://www.nist.gov/news-events/news/2026/09/caisis-assessment-zais-glm-53-cyber-capabilities
1•soltanov•37m ago•0 comments

BrainTech

1•yashmobarsa•38m ago•0 comments

State of the (Tagged) Union Address by Andrew Kelley [video]

https://www.youtube.com/watch?v=zwi5b5xSsKA
2•signa11•39m ago•0 comments

What do you want from AI?

https://www.anthropic.com/research/your-thoughts-on-ai
1•dgfl•43m ago•1 comments

Show HN: Anxiety Checklist – 3 years of itterate with no success yet

https://anxietychecklist.com/
1•seobuddy•45m 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.