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Epstein files reveal deeper ties to scientists than previously known

https://www.nature.com/articles/d41586-026-00388-0
1•XzetaU8•19s ago•0 comments

Red teamers arrested conducting a penetration test

https://www.infosecinstitute.com/podcast/red-teamers-arrested-conducting-a-penetration-test/
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Show HN: Open-source AI powered Kubernetes IDE

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1•tywells•13m ago•0 comments

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https://x.com/SevenviewSteve/article/2019601506429730976
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Let's handle 1M requests per second

https://www.youtube.com/watch?v=W4EwfEU8CGA
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OpenClaw Partners with VirusTotal for Skill Security

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Goal: Ship 1M Lines of Code Daily

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FastLangML: FastLangML:Context‑aware lang detector for short conversational text

https://github.com/pnrajan/fastlangml
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LineageOS 23.2

https://lineageos.org/Changelog-31/
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Crypto Deposit Frauds

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Substack makes money from hosting Nazi newsletters

https://www.theguardian.com/media/2026/feb/07/revealed-how-substack-makes-money-from-hosting-nazi...
2•lostlogin•39m ago•0 comments

Framing an LLM as a safety researcher changes its language, not its judgement

https://lab.fukami.eu/LLMAAJ
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Are there anyone interested about a creator economy startup

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2003: What is Google's Ultimate Goal? [video]

https://www.youtube.com/watch?v=xqdi1xjtys4
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Roger Ebert Reviews "The Shawshank Redemption"

https://www.rogerebert.com/reviews/great-movie-the-shawshank-redemption-1994
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Busy Months in KDE Linux

https://pointieststick.com/2026/02/06/busy-months-in-kde-linux/
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Zram as Swap

https://wiki.archlinux.org/title/Zram#Usage_as_swap
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Green’s Dictionary of Slang - Five hundred years of the vulgar tongue

https://greensdictofslang.com/
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Nvidia CEO Says AI Capital Spending Is Appropriate, Sustainable

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Part 1 the Persistent Vault Issue: Your Encryption Strategy Has a Shelf Life

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The Highest Exam: How the Gaokao Shapes China

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2•mitchbob•1h ago•1 comments

Open-source framework for tracking prediction accuracy

https://github.com/Creneinc/signal-tracker
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India's Sarvan AI LLM launches Indic-language focused models

https://x.com/SarvamAI
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Show HN: CryptoClaw – open-source AI agent with built-in wallet and DeFi skills

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1•cryptoclaw•1h ago•0 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•9mo 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•9mo 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•9mo 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•9mo 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.