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Field Recordings Around the World

https://earth-garden.alen.ro/
1•alentodorov•49s ago•0 comments

Robert Tinney: 'Byte' Magazine and Beyond

https://70s-sci-fi-art.ghost.io/robert-tinney-byte-magazine-and-beyond/
1•sohkamyung•1m ago•0 comments

Show HN: Pane – Give your AI access to your financial data via MCP

https://pane.money
1•darnfish•4m ago•0 comments

Hit Your 1 Rep Max with AI

https://www.xiegerts.com/post/hit-your-1-rep-max-with-ai/
1•siegers•4m ago•0 comments

CBP Tapped into the Online Advertising Ecosystem to Track Peoples' Movements

https://lwn.net/Articles/1061085/
1•DyslexicAtheist•6m ago•0 comments

MCP Servers Are Now Searchable

https://mcpmonitoring.com/
1•jspuri•7m ago•0 comments

Microsoft Expands Starlink Alliance to Grow Azure and AI in Kenya

https://finance.yahoo.com/news/microsoft-expands-starlink-alliance-grow-160902940.html
1•andsoitis•10m ago•0 comments

Slab tearing and segmented subduction termination driven by transform tectonics

https://www.science.org/doi/full/10.1126/sciadv.ady8347
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Rare Earths Norway says estimate of Europe's biggest deposit jumps 81%

https://www.reuters.com/business/energy/rare-earths-norway-says-estimate-deposit-biggest-europe-j...
1•littlexsparkee•12m ago•0 comments

Anthropic-backed super PAC spends $1.6M in primary race divided over datacenters

https://www.theguardian.com/us-news/2026/mar/03/datacenter-politics-north-carolina-primary
1•colinhb•12m ago•0 comments

First AI Agent on a Smartwatch

https://twitter.com/petruspennanen/status/2028946464119165140
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Killed by Mozilla

https://killedbymozilla.com/
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PRX Part 3 – Training a Text-to-Image Model in 24h

https://huggingface.co/blog/Photoroom/prx-part3
1•ibobev•17m ago•0 comments

Helsinki just went a full year without a single traffic death

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7•mooreds•17m ago•0 comments

Select your fruit (No JavaScript)

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1•ChadNauseam•18m ago•1 comments

If You Like PICO-8, You'll Love Kaplay (Probably)

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1•ibobev•18m ago•0 comments

It's an Obscure Psychedelic Used to Treat Trauma. Could It Help Me?

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2•whack•18m ago•0 comments

MicroTimes Interviews Borland's Philippe Kahn Again (1995)

https://computeradsfromthepast.substack.com/p/microtimes-interviews-borlands-philippe-93a
1•rbanffy•19m ago•0 comments

Behold the Power of Meta:Substitute

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1•ibobev•21m ago•0 comments

Pincer – Python AI agent framework, security-first

https://github.com/pincerhq/pincer
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Compiling Prolog to Forth [pdf]

https://vfxforth.com/flag/jfar/vol4/no4/article4.pdf
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Maryland Senators Approve Bill to Let Off-Duty Firefighters, EMTs Use Cannabis

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1•treatsmokenjury•23m ago•1 comments

Zed will require age identification for its services

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24•delduca•24m ago•16 comments

Linux in Space: The aerospace industry's attitude for Space Architechture

https://www.windriver.com/blog/Linux-Flies-into-Space
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Who Pays for Tariffs Along the Supply Chain? Evidence from European Wine Tariffs

https://www.nber.org/papers/w34392
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Are these AI cost‑curve assumptions realistic? (ARK Big Ideas 2026)

https://www.ark-invest.com/big-ideas-2026
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Why specialized AI systems may outperform general‑purpose models

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Generating Colour Palettes Thanks to Microgpt

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1•speedgoose•30m ago•0 comments

Economic Possibilities for our Grandchildren (1930) [pdf]

http://www.econ.yale.edu/smith/econ116a/keynes1.pdf
2•mooreds•31m ago•0 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•10mo 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•10mo 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•10mo 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•10mo 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.