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Mini Shai-Hulud has crossed from NPM into PyPI

https://bsky.app/profile/socket.dev/post/3mln2ck4joc2p
1•anglesideangle•1m ago•0 comments

Kamy- PDF and e-signature API for AI agents (now on Cursor Directory)

https://cursor.directory/plugins/kamy
1•rakanalalami•1m ago•0 comments

The Wire's Final Season and the Story Everyone Missed (2008)

https://davidsimon.com/the-wires-final-season-and-the-story-everyone-missed/
1•chistev•2m ago•0 comments

FreeBASIC

https://github.com/freebasic/fbc
1•ustad•4m ago•0 comments

Fastmail Down?

1•bsder•10m ago•0 comments

The Museum Can Wait

https://mikaelpawlo.substack.com/p/the-museum-can-wait
1•imartin2k•11m ago•0 comments

Show HN: TextifyALL – AI transcription with zero file size or duration limits

https://textifyall.com
1•Harvey1331•16m ago•0 comments

Devframe: Framework-Neutral Foundation for DevTools

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New York Times Published A.I.-Fabricated Quote Attributed to Pierre Poilievre

https://pxlnv.com/linklog/times-poilievre-fabricated-quote/
1•danaris•17m ago•0 comments

Why were semiconductors invented in the USA? [YouTube]

https://www.youtube.com/watch?v=yJUJztMrUxk
1•johncole•18m ago•2 comments

The Inspiring Journey of Harmandeep Singh Kandhari in Real Estate

https://harmandeepsingh-kandhari.onepage.me
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Amazon staff use AI tool for unnecessary tasks to inflate usage scores

https://www.ft.com/content/8ee0d3ef-9548-422d-8ff1-ebd48ad4b2ca
3•uhfraid•20m ago•1 comments

Artificial Intelligence and Quarterly Earnings Reports

https://ritholtz.com/2026/05/ai-q-earnings/
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Arts and cultural engagement 'linked to slower pace of biological ageing'

https://www.theguardian.com/science/2026/may/12/arts-cultural-engagement-linked-slower-pace-biolo...
1•XzetaU8•20m ago•0 comments

Getting the Maximum Out of My Claude Code Subscription

https://jigjoy.ai/blog/getting-the-maximum-out-of-claude-code
1•mijura•21m ago•0 comments

Breez SDK Case Study: Deblock, Instant Bitcoin at Scale

https://breez.technology/case-studies/deblock/
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California Scrub Jay

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Axavive Results: Real Before and After Pictures (90-Day Skin Test)

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1•tarzlopa•26m ago•0 comments

Is Google down for anyone else?

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1•schappim•27m ago•3 comments

The Underlying Purpose of AI

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May 11: Startup Roundup

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Keep Claude working toward a goal – Claude Code Docs

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Password Is 'NeXTStep'

https://hardcoresoftware.learningbyshipping.com/p/009-password-is-nextstep
1•tosh•34m ago•0 comments

GM agrees to pay $12.75M in California driver privacy settlement

https://techcrunch.com/2026/05/09/gm-agrees-to-pay-12-75m-in-california-driver-privacy-settlement/
2•benkan•35m ago•0 comments

Why you're probably going to lose money on Polymarket

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1•benkan•35m ago•0 comments

Bright lights: UFO files shed light on sightings but leave interpretation

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1•benkan•37m ago•2 comments

Tech leaders propose UBI and shorter work week for AI; sounds familiar in Europe

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1•vrganj•39m ago•0 comments

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7•anideshp•41m ago•0 comments

Jes Staley Asked to Sit for US House Interview over Epstein Ties

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1•petethomas•42m ago•0 comments

CMake Support for the Dear ImGui

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2•adembudak•42m 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.