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Damage Control

https://fireborn.mataroa.blog/blog/damage-control/
1•devinprater•2m ago•0 comments

Reducing Reward Hacking by Localizing Bad Behavior Instead of Penalizing It

https://alignment.anthropic.com/2026/graft/
1•medbar•2m ago•0 comments

Do Markets Dream of Artificial Intelligence? (DNB Working Paper)

https://www.dnb.nl/en/publications/research-publications/working-paper-2026/871-do-markets-dream-...
1•latentframe•2m ago•0 comments

Hooked on YouTube

https://www.nbcnews.com/specials/hooked-youtube-videos-schools-junk-infiltrating-classrooms-google/
2•hollerith•3m ago•0 comments

Show HN: Frink – Desktop-first app for multi-step workflows and parallel agents

https://github.com/benord-labs/frink
1•norvalbv•5m ago•0 comments

Google support pages start defaulting to AI chatbots

https://9to5google.com/2026/10/19/google-support-ai-summary-chatbot-update/
1•tech234a•6m ago•0 comments

Michael Rabin's fingerprints across the theory of computation

https://eccc.weizmann.ac.il/report/2026/259/
1•matt_d•7m ago•0 comments

Can a Million AI Agents Create Superintelligence?

https://www.noahpinion.blog/p/can-a-million-ai-agents-create-superintelligence
1•speckx•11m ago•0 comments

Summonos: An omarchy-inspired macOS environment

https://github.com/RohiRIK/SummonOS
1•RohiRik•13m ago•0 comments

Deriving Efficient Hardware in the Bluespec Style

https://stng.substack.com/p/deriving-efficient-hardware-in-the
1•matt_d•14m ago•0 comments

What Shall I Teach My Son?

https://stevekrouse.com/ends
2•Curiositry•14m ago•0 comments

Redux, docs, and career advice with Mark Erikson

https://www.youtube.com/watch?v=oKFAFAU50sA
1•jdauriemma•14m ago•0 comments

My coding agent deleted a project without asking. The audit log says I did it

https://zabta.ai/blog/my-coding-agent-deleted-a-project
3•Regzaar•15m ago•1 comments

MSP 101: Simply Typed Lambda Calculus [video]

https://www.youtube.com/watch?v=lluk5MOrtHM
1•matt_d•16m ago•0 comments

Blanets and Weird Worlds

https://www.antipope.org/charlie/blog-static/2026/10/bizarre-blanets-and-other-weir.html
2•dan-bailey•16m ago•0 comments

Amazon ECS Gateway: A fully-managed ingress solution for ECS services

https://aws.amazon.com/blogs/aws/introducing-amazon-ecs-gateway-a-fully-managed-ingress-solution-...
1•ilreb•16m ago•0 comments

Show HN: FacilisCam, Android camera in one line of code

https://github.com/al3j4ndrolm/FacilisCam
1•lopezalejandro•17m ago•0 comments

How a Differential Works

https://www.autotechart.com/how-it-works/differential/
1•at1as•17m ago•0 comments

Phalanx CIWS Defense Simulator

https://ciws.obliscence.com/
1•mik3y•18m ago•0 comments

Show HN: Open-source edge data governance library

https://www.csvpath.org
1•djekershaw•18m ago•0 comments

Language models can learn to tell when their activations are being read

https://github.com/SauersML/watching
1•torsi0n•19m ago•0 comments

Show HN: Vistas – slow-moving scenes generated by Opus 5.5

https://www.emergentmind.com/vistas
1•matt1•19m ago•0 comments

NPM and Left-Pad: Have We Forgotten How to Program? (2016)

https://web.archive.org/web/20160323230602/http://www.haneycodes.net/npm-left-pad-have-we-forgott...
2•Apocryphon•22m ago•0 comments

GPT-6.1 Terra is in a Microsoft PR

https://twitter.com/LuminaBench/status/2112189697388613850
1•theanonymousone•24m ago•0 comments

Announcements

https://www.anthropic.com/news/announcements
2•surprisetalk•24m ago•0 comments

From hackathon prototype to production ML: Building PredictPay at Affirm

https://tech.affirm.com/predictpay-from-hackathon-idea-to-smarter-payments-at-scale-a8dc7c3837db
2•alexanderstatni•24m ago•0 comments

Linux 7.4 Removing Its Broken and Rarely Touched Code for ARM64 Big Endian

https://www.phoronix.com/news/Linux-7.4-Removes-ARM64-BE
2•haunter•25m ago•0 comments

Omnii-1: a leap toward general biological intelligence

https://www.radicalnumerics.ai/blog/omnii-1
4•ilreb•25m ago•0 comments

AI's Midas problem: When code is free, features are worthless

https://thenewstack.io/ai-commoditizes-software-value/
1•theanonymousone•25m ago•0 comments

Who is Yuki Chen, China's 'superstar' hacker who just joined AI leader Z.ai?

https://www.scmp.com/tech/tech-trends/article/3371530/who-yuki-chen-chinas-superstar-hacker-who-j...
5•theanonymousone•26m 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.