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Brocards for Vulnerability Triage

https://vulnbrocards.com/
1•woodruffw•3m ago•0 comments

Vigil 0.5.0: threat hunting agent where a deterministic controller owns state

https://vigilsoc.org/blog/2026/08/27/lessons-learned-building-a-harness-for-cyber-security/
1•krmayankb•4m ago•0 comments

Show HN: Booth, A lightweight checkpoint library for LLM outputs

https://github.com/Vedantgitbot/booth
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Show HN: Turn repeated coding-agent corrections into rules/skills

https://blume.codes
2•blumeCodes•6m ago•0 comments

Tim Cook Comments on His Final Day as Apple CEO

https://www.macrumors.com/2026/08/31/tim-cook-messages-on-final-day-as-apple-ceo/
1•tosh•7m ago•0 comments

Knowledge Futures

https://www.knowledgefutures.org/
1•jruohonen•8m ago•0 comments

Saudi Arabia Backs Turkey's Rapid Renewable Energy Buildout

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Human Slop

https://max.engineer/human-slop
3•hakunin•10m ago•0 comments

Revolutionizing semiconductor fab operations with AI

https://www.mckinsey.com/industries/semiconductors/our-insights/revolutionizing-semiconductor-fab...
1•swolpers•11m ago•0 comments

A Matter of Millimeters: The story of Qantas flight 32 (2023)

https://admiralcloudberg.medium.com/a-matter-of-millimeters-the-story-of-qantas-flight-32-bdaa62d...
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Concrescence

https://www.guidavid.com/writing/concrescence
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Impacts of Mid-Latitude Ionospheric Dynamics During Nov 2025 Superstorm Event

https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2026GL124645
1•ortusdux•12m ago•0 comments

GPS Glitched Across the US by as Much as 33 Feet

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1•ortusdux•12m ago•0 comments

Building native plugin systems with WebAssembly components (2025)

https://tartanllama.xyz/posts/wasm-plugins/
2•cxr•17m ago•0 comments

How Big Tech Captured American Schools

https://www.nytimes.com/2026/08/23/business/schools-big-tech-google-microsoft.html
1•obscurette•17m ago•0 comments

Ex-Congressman George Santos Receives Kalshi's First-Ever Lifetime Ban

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1•JumpCrisscross•18m ago•1 comments

Who Taught the Models to Do That?

https://www.dbreunig.com/2026/08/30/who-taught-the-models-to-do-that.html
4•Brajeshwar•19m ago•0 comments

Show HN: Review large code changes in your terminal, one chapter at a time

https://github.com/mtford90/revue
1•mtford•19m ago•0 comments

Americans Hate Data Centers. Why?

https://www.nytimes.com/2026/08/31/opinion/data-centers-ai-populism.html
4•jbegley•19m ago•1 comments

Songs created by AI banned from Australia's music charts

https://www.bbc.com/news/articles/c20vl4vm2pno
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Running a Software Factory Efficiently at Uber Scale

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Natural Ways to Relieve Joint and Muscle Discomfort at Home

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OpenAI to cut off AI models for SpaceX-owned Cursor, escalating feud with Musk

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3•benkan•22m ago•0 comments

Enjoy Sushi

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WordPress as a Desktop Environment

https://openstation.me/
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Americans Aren't Sold on Businesses Using AI in Advertising

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2•hn_acker•24m ago•0 comments

Show HN: Manner – Developers create AI clones that clients can hire

https://manner.run/
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Show HN: My AI spent $15 on a test order, so I built a payment guardrail

https://github.com/felixpg13-glitch/spendshield
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Collecting Batteries

https://www.ericwrobbel.com/collections/batteries.htm
2•austinallegro•26m ago•0 comments

The Undiscovered Human: psychology as a pre-Mendeleev science

https://undiscoveredhuman.substack.com/p/the-undiscovered-human
1•undiscovrdhuman•27m 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.