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Show HN: 13M opinions on 48k products extracted from Reddit and HN

https://www.trustmebro.reviews/
2•davidzweig•1m ago•0 comments

A Social Networking App – Anonymous Live Group Chats

https://www.myraw.app/
1•welkhazen•1m ago•0 comments

One dev's rough outline of encrypted weights implementation

https://forums.developer.nvidia.com/t/questions-from-a-newcomer-gpu-confidential-computing-for-mu...
1•oogali•1m ago•0 comments

Hackers hit French national blood bank

https://www.telegraph.co.uk/world-news/2026/11/04/hackers-hit-french-blood-bank/
1•blaze33•1m ago•0 comments

Hibernate Lost My Update

https://bartoszosipiuk.pl/en/blog/hibernate-lost-my-update/
1•0x54MUR41•2m ago•0 comments

Forthcoming security update of Node.js; November 11, 2026

https://nodejs.org/en/blog/vulnerability/november-2026-security-releases
1•stevekemp•4m ago•0 comments

Show HN: Clootee, make Claude Code and codex easier to use

https://github.com/clootee/clootee
1•lingxiao10•6m ago•0 comments

The engineering around post-quantum cryptography is as important

https://github.com/lecodev-26/nexus-q
1•lecodev•6m ago•0 comments

Why the Term "Smart City Surveillance" Needs an Update in the Era of AI and 5G

https://www.red5.net/blog/smart-city-surveillance-in-the-era-of-ai-and-5g/
2•mondainx•6m ago•1 comments

Agent Meter – Native macOS menu bar monitor for CLI coding agents

https://github.com/amazingyyc/AgentMeter
1•real-amazingyyc•7m ago•0 comments

Show HN: Planted 3 backdoors in my code; the agent swarm found 27, half noise

https://github.com/VictorAboba/DreamTeam/blob/master/docs/en/audits/2026-11-self-audit.md
1•zkvimuon•7m ago•0 comments

Desktop app from the llama.cpp team (Mac OS and Windows)

https://llama.app/models
2•julien_c•9m ago•0 comments

LLMs Deal with Fraudulent Papers

https://www.science.org/content/blog-post/how-llms-deal-fraudulent-papers
1•surprisetalk•10m ago•0 comments

Chinese doctoral students in clinical medicine can graduate without a thesis

https://www.nature.com/articles/d41586-026-03480-7
2•sohkamyung•15m ago•0 comments

AI is forcing us to pay off 40 years of technical debt

https://spectrum.ieee.org/ai-in-cybersecurity-php2shell-vulnerability
17•pseudolus•18m ago•0 comments

How Command and Conquer Died [video]

https://www.youtube.com/watch?v=BYlEgGHx4II
1•nomilk•18m ago•0 comments

AI Slop Threatens Trust in Science

https://spectrum.ieee.org/ai-slop-trust-science
2•rbanffy•18m ago•0 comments

Claude Mods: Flipping the Harness Inside Out

https://latent.space/p/claude-mods/
1•thomasweiser•18m ago•0 comments

Show HN: Terminal to web page in a single command

https://github.com/FenrirSec/xterm.rs
1•leakr•20m ago•0 comments

Trump declares robot imports a national security threat

https://arstechnica.com/gadgets/2026/10/trump-declares-robot-imports-a-national-security-threat/
6•rbanffy•21m ago•2 comments

AMD Q3 2026 Earnings Data Center Growth Drives Record Quarter – ServeTheHome

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2•rbanffy•21m ago•0 comments

iOS Simulator MCP benchmark: eight tools for AI agents

https://simulator-use.dev/benchmarks
2•garymiklos•23m ago•0 comments

Audio Enhancer – Free Online AI Audio Enhancer and Noise Remover

https://audioenhancer.io
1•aiqanobzfsej5•23m ago•0 comments

AI-Generated Content on Nexus Mods

https://www.nexusmods.com/news/15654
2•HelloUsername•24m ago•0 comments

Replacing homepage demo media with looping HTML and CSS

https://stepshots.com/css-feature-clips
1•hauju•25m ago•0 comments

Automated grounding verification of AI statements about chest radiographs

https://arxiv.org/abs/2604.09537
1•mrkn1•26m ago•0 comments

Noviscan

https://noviscan.app/
1•contactsecuforn•28m ago•0 comments

Bhutan sets Guinness World Record with 108 stupas built&consecrated in 9 hours

https://www.bbs.bt/248372/
1•sjamaan•28m ago•0 comments

Machine psychology for language models

https://www.science.org/doi/full/10.1126/sciadv.aec1912
1•Anon84•29m ago•0 comments

A printable 2027 calendar with yearly and monthly layouts

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1•rongame•33m ago•1 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.