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Everything Claude Saw: A Transparent Account of the Chardet v7 Rewrite

http://dan-blanchard.github.io/blog/chardet-rewrite-controversy/
1•wilsonfiifi•8s ago•0 comments

Make Waiting for AI Fun

https://commonsmade.com/hackathons
1•ceen•1m ago•0 comments

The first mail client with built-in compression and encryption

https://medium.com/@chris.ahrweiler/the-first-mail-client-with-built-in-compression-and-encryptio...
1•docjojo•4m ago•0 comments

Teamwork: When AI Becomes a Research Partner – Google Antigravity Blog

https://antigravity.google/blog/teamwork-when-ai-becomes-a-research-partner
1•porridgeraisin•6m ago•0 comments

Sovereignty is now a feature, and Canadian founders are shipping it for free

https://betakit.com/sovereignty-is-now-a-feature-and-canadian-founders-are-shipping-it-for-free/
2•ClearwayLaw•8m ago•0 comments

Particle system updates X3D exporter, documentation, geometry shader fixes

https://castle-engine.io/wp/2026/08/26/particle-system-updates-custom-shaders-web-support-freecad...
1•mariuz•8m ago•0 comments

How to Critically Read LLM Texts [video]

https://www.youtube.com/watch?v=BBmNOxQWcAc
1•jmount•8m ago•0 comments

Why Responsible AI Adoption Still Starts with People

https://www.tylertech.com/resources/blog-articles/why-responsible-ai-adoption-still-starts-with-p...
1•cebert•9m ago•0 comments

Show HN: Claude Code Skills – Solving context bloat

https://github.com/yevhens-hue/claude-skills-starter-kit
2•eshaforostov•11m ago•0 comments

Trump suggests cattle ranchers could bypass USDA-inspected meat plants

https://www.washingtonpost.com/politics/2026/08/28/trump-suggests-allowing-ranchers-bypass-usda-i...
2•bithammerthunde•12m ago•0 comments

Form Follows Function

https://en.wikipedia.org/wiki/Form_follows_function
1•nomilk•12m ago•0 comments

Agentic Workflow Design: Six Principles for 2026

https://www.amyzyuan.com/thoughts/agentic-workflow-design-2026
2•eterconf•14m ago•0 comments

Oligodendrocyte dysfunction in human age-related cognitive decline

https://www.nature.com/articles/s41591-026-04608-y
2•bookofjoe•14m ago•0 comments

Adapting to AI: Leadership

https://blog.colinbreck.com/adapting-to-ai-leadership/
1•kiyanwang•15m ago•0 comments

China rejected a container of Argentine beef. Here's what the US did next

https://tallow.app/blog/china-rejected-argentina-beef-chloramphenicol
3•mkl95•18m ago•0 comments

A few feral cats in an ALGOL trenchcoat.

https://wiki.xxiivv.com/site/pop2.html
3•bmacho•18m ago•1 comments

Tsundoku: The art of buying books and never reading them

https://www.bbc.com/news/world-44981013
3•austinallegro•19m ago•2 comments

Prompt Engineering Best Practices in 2026: Why the Advice Contradicts Itself

https://www.amyzyuan.com/thoughts/prompt-engineering-best-practices-2026
3•eterconf•19m ago•0 comments

States can regulate prediction markets as gambling, federal appeals court rules

https://www.cnn.com/2026/08/28/business/states-prediction-markets-gambling-federal-appeals-court
3•cocacola1•20m ago•0 comments

Social Policy Builds Financial Markets

https://economicsociology.org/2026/08/28/how-social-policy-builds-financial-markets/
1•kome•21m ago•0 comments

Superlogical 3min Demo

https://twitter.com/mitchellh/status/2093451043661316217
1•mfiguiere•21m ago•0 comments

We Tested a Smartphone Smuggled from North Korea - WSJ [video]

https://www.youtube.com/watch?v=nBRZKG1kjBM
1•mudil•23m ago•0 comments

Artificial Intelligence and the Problem of Induction [pdf]

https://www.iiardjournals.org/get/JHSP/VOL.%12%NO.%1%2026/Artificial%Intelligence%and%the%Problem...
1•1vuio0pswjnm7•24m ago•0 comments

The Answer to Every Problem

https://www.raptitude.com/2026/06/the-answer-to-every-problem/
2•Curiositry•25m ago•0 comments

Audience Infrastructure

1•DIMAZA•26m ago•0 comments

I have made an OS in CUDA

https://twitter.com/ShimazuSystems/status/2093064608122655000
2•porridgeraisin•28m ago•0 comments

I'd like to take a moment to speak to you about the Adobe PSD format (2012)

https://github.com/zepouet/Xee-xCode-4.5/blob/master/XeePhotoshopLoader.m
5•consumer451•30m ago•1 comments

Invisible Source Skew

https://www.lawfaremedia.org/article/invisible-source-skew
1•EA-3167•32m ago•0 comments

Who is at the frontier of terminal tasks?

https://fidian.ai/blog/tb-fn-benchmark-results/
1•amrrs•34m ago•0 comments

492 FIPS 140-2 certificates still active, 23 days before the sunset

https://808bits.com/fips/140-2-sunset/
2•meehow•34m 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.