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Standout film art, selected since 2011

https://www.reelizer.com/
1•vinhnx•36s ago•0 comments

Threads and Bluesky have quarantined some of the worst people on the Internet

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My AI agent caught most of our sites saying sent while no email left the server

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Build architecture diagrams by making a Factorio factory

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OpenPrinter

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AutoTrust's HF models are trending thanks to farmed likes

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Phishing emails are baiting your AI assistant

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The ovary doesn't retire after menopause

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MonkeyITM – open-source broker that sits between agents and the open world

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The Renaissance woman who was the first female painter of erotic nudes

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Millions exposed to spyware operation through online ads, researchers say

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3•everybodyknows•1h ago•1 comments

What type of mathematician are you?

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Turn your coding-agent sessions into private evals

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Netocracy

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Falsehoods programmers believe about invoices

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Did Nintendo Kill Switch Emulation? The State of Yuzu, Ryujinx, and Their Forks

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Training and Deploying Production Cyber Monitors on Kimi K3

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Ask HN: How can we stop UX people from changing UIs to get promotions?

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Defer, Panic, and Recover – The Go Blog

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3•doodlesdev•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.