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Show HN: ZKE – A macOS-style multi-cluster Kubernetes console over QUIC

https://github.com/togettoyou/zke
1•togettoyou•5m ago•0 comments

The next AI interface may not be a chatbot

https://hajek.no/posts/2026/next-ai-interface-not-chatbot
1•kamphey•7m ago•0 comments

Doable: Self-hosted AI app builder for teams

https://github.com/doable-me/Doable
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Production-ready detection and response queries for osquery

https://github.com/chainguard-dev/osquery-defense-kit
1•ankitg12•12m ago•0 comments

Why must a socialist also be woke?

https://www.ft.com/content/1b0a8ed9-d55a-49ea-971e-39e01e588632
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Looks like Claude is down anyone else

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Could Rocky's musical language in Project Hail Mary work

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1•pavel_lishin•20m ago•0 comments

Trump to allow use of cyber tools to target transnational criminal organizations

https://www.reuters.com/world/trump-signed-memo-allow-use-cyber-tools-target-transnational-crimin...
1•oogali•21m ago•1 comments

Show HN: Meowdoku – a no-signup daily cat logic puzzle

https://meowdoku.pro/
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Reporter gets $850000 in raid suit

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1•rdmuser•29m ago•1 comments

Agentic Proof-Oriented Programming

https://fstar-lang.org/tutorial/book/agentic/agentic.html#agentic-proof-oriented-programming
1•woggy•30m ago•0 comments

AI Hype Is Running into Reality

https://www.nytimes.com/2026/08/12/opinion/ai-bubble-economy-crash.html
3•ripe•33m ago•0 comments

Spherical Trigonometry

https://en.wikipedia.org/wiki/Spherical_trigonometry
1•kamaraju•40m ago•0 comments

Open Source libraries are evolving into reference implementations

https://jacobtomlinson.dev/posts/2026/open-source-libraries-are-evolving-into-reference-implement...
1•iyanuashiri•41m ago•0 comments

We put llms.txt on 83 websites. In 12 weeks OpenAI's crawler read it 7 times

https://www.ezy.ai/research/do-ai-bots-read-llms-txt
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Agentic Code Quality

https://twitter.com/addyosmani/status/2087427868343373919
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Steam Game Recommender, with a RAG System That Focuses on Explainability First

https://nextsteamgame.com
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Fideliya Pass

https://www.fideliyapass.com/
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Anthropic in Talks to Buy World Model AI Startup Decart for $6B

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9•htrp•54m ago•0 comments

Video game lawyer says all her clients have anti-AI contracts

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6•eatonphil•57m ago•0 comments

Lightweight Haar Wavelet Subband Pruning for LLMs

https://aclanthology.org/2026.findings-acl.798/
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Why your LLM ignores what you asked for

https://github.com/CamjamPNG/skills
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Apple and AI: Siri the Early Years

https://thechipletter.substack.com/p/apple-and-ai-siri-the-early-years
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Shot on iPhone. Now Prove It

https://blog.ppb1701.com/shot-on-iphone-now-prove-it
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When the Denominator Disappears: FDA's Next Evolution Should Be Causal Inference

https://www.realclearhealth.com/articles/2026/08/05/when_the_denominator_disappears_1198625.html
2•tmoertel•1h ago•0 comments

Show HN: Chatlens – Search and browse your ChatGPT and Claude chats offline

https://github.com/david-g-3654/chatlens
1•davai-g•1h ago•0 comments

Is Alibaba going back on their words on qwen3.8 27B? this page is now 404

https://modelscope.cn/models/Qwen/Qwen3.8-27B
1•yakisuragi•1h ago•1 comments

Greatest Concept Albums

https://www.rollingstone.com/music/music-lists/best-concept-albums-1234604040/
2•kaycebasques•1h ago•1 comments

The web's newest weapon against AI scrapers is a font

https://arstechnica.com/ai/2026/08/new-font-turns-ordinary-webpages-into-nonsense-for-ai-scrapers/
2•gpi•1h ago•0 comments

Proofs and Prompts

https://proofsandprompts.com/
1•nill0•1h 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.