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Show HN: HackerCinema, a portal for all the Movies/TV mentioned on Hacker News

https://hacker-cinema.chapra.co/
1•muddi900•1m ago•0 comments

Repolve – Free strength calculator with muscle-group estimates

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1•nimanoro•2m ago•0 comments

Lego with bright colors can be used by AI to motion track animation for CGI

https://twitter.com/i/status/2117460058019709023
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Anthropic IPO filing: $1.7B quarterly payroll, about $107K per employee monthly

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4•entryleveljobsc•8m ago•0 comments

GitHub pull_request_target blocked by default December 2

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5•exploraz•9m ago•0 comments

App builders ask EU to make social graphs portable

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New York Times sues maker of Brave web browser over copyrights

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Splitting text to manage context for agents and humans

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2•brainless•12m ago•1 comments

Show HN: Syrinx, a censorship-resistant communications platform

https://github.com/var0xyz/syrinx
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First FDA IND Approval Using Only Human Vascularized Organoids (2025)

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The Olfactory Experience of Nature

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2•dnetesn•14m ago•0 comments

FDA Actions to Accelerate and Modernize Early and Late Clinical Development

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3•debo_•14m ago•0 comments

Local Inference with LLMs

https://jacquesmattheij.com/local-inference-with-large-language-models/
3•tosh•15m ago•0 comments

Blade Runner: More Human Than Human

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WARC

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Show HN: Ship AI features without losing sleep

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3•heythere47•16m ago•3 comments

Agentic AI's real risk: losing the plot

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Reviewer-gates: Trading speed for correctness with Claude

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3•AlexITC•20m ago•0 comments

The SaaS apocalypse started in October

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Ask HN: How many bot accounts do you think there are on this forum?

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Free SEO site audit tool

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Cometary impacts an unlikely pathway towards the origins of life on Earth

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Free Scholarship Test – Data Science with AI

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A vasomechanic treatment to increase the efflux of human brain proteins

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AI Nutrition Labels, a New Tool Measuring AI's Impact on Human Wellbeing

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AI agents hallucinate prices: LLM grounding with live data

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12•Dylan-Hayes•43m ago•0 comments

Show HN: Yopologame.com – A free, bot-proof human proximity ledger

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3•ypyk•43m 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.