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The Deadline Dividend

https://deadline-dividend.onrender.com
1•serialwindow•13s ago•0 comments

Tailscale Traces Database Corruption to 16y/o SQLite WAL-Reset Bug

https://tailscale.com/blog/sqlite-wal-reset-bug
2•ropbear•1m ago•0 comments

Linux Seeing Patches for Better Hybrid Graphics on 2018~2019 MacBook Pros

https://www.phoronix.com/news/Linux-2026-Patches-For-2018-MBP
1•DemiGuru•1m ago•0 comments

Sequoia Raises Its Comfort with Risk in AI Bets

https://www.bloomberg.com/news/newsletters/2026-08-11/sequoia-raises-its-bets-on-ai-startups
1•wslh•2m ago•1 comments

AI Watermarks Are Coming. What Will Universities Do with Them?

https://www.reddit.com/r/AIEducation/comments/1vmd46t/ai_watermarks_are_coming_how_should_univers...
1•behindai•4m ago•0 comments

Unearthing a 31 year old Easter egg in Ecco the Dolphin

https://32bits.substack.com/p/under-the-microscope-ecco-the-dolphin-98c
1•bbayles•4m ago•0 comments

Show HN: NYC's 349 CCTV feeds as a live crowd map

https://somodus.com/a/25e5b366a8033e5b147e8a9546ebd871
1•eric2025•5m ago•0 comments

RF Filter Design for ESP32-S3 – PCB Effects and EM Co-Simulation

https://dispatch.altivlabs.com/esp32-s3-rf-filter-design-part-2/
1•yourstruly-br•5m ago•0 comments

Stealing Reasoning Traces from Proprietary LLM APIs

https://arxiv.org/abs/2608.09867
2•shikharbhardwaj•6m ago•0 comments

LFM2.5-VL-3B: A Better and Faster Vision-Language Model for the Edge

https://www.liquid.ai/blog/lfm2-5-vl-3b
2•samstevens•7m ago•1 comments

South Africa's Eskom targets data centre 'gold rush' for its power surplus

https://www.ft.com/content/107b354b-ba03-44f2-9939-517cbcc11cd0
2•JumpCrisscross•8m ago•1 comments

The Railway Bubble vs. the AI Bubble (2025)

https://awealthofcommonsense.com/2025/11/the-railway-bubble-vs-the-ai-bubble/
2•mooreds•9m ago•0 comments

Show HN: Research on LLM Disagreement on Factual Claims

https://zenodo.org/records/21829261
1•kostaj•9m ago•1 comments

Circumstantial Complexity, LLMs and Large Scale Architecture

https://datagubbe.se/aiarch/
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McDonald's built a 515-page dossier on one customer

https://www.wired.com/story/mcdonalds-built-a-515-page-dossier-on-me-it-says-ill-never-leave/
1•BlueBerry2001•10m ago•0 comments

Did poop enable the evolution of complex animals?

https://arstechnica.com/science/2026/08/feces-fueled-a-flurry-of-evolution-during-the-cambrian-st...
2•Brajeshwar•10m ago•0 comments

User Interfaces of the Demo Scene

https://datagubbe.se/scenegui/
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Show HN: Monkey see, monkey do – reproduce text via native OCR on macOS

https://github.com/faheel/msmd
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Simulated red blood cells and microscopy

https://lucasamoudruz.com/blog/red-blood-cells.html
1•amlucas•11m ago•0 comments

Singapore Airlines loses almost $800M on Air India bet

https://www.ft.com/content/5ed01c06-573f-4864-bc11-6cea70593197
1•JumpCrisscross•11m ago•0 comments

If the markets reject OpenAI and Anthropic, the US should nationalize them

https://www.theguardian.com/commentisfree/2026/aug/12/openai-anthropic-ai-models
1•andsoitis•12m ago•0 comments

GulliBench: Measuring Skepticism in Frontier Models

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2•uioio•13m ago•0 comments

Obituary: AmigaDOS developer Dr. Tim King has passed away

https://amiga-news.de/en/news/AN-2026-08-00070-EN.html
5•doener•14m ago•0 comments

Reverse-engineering an abandoned capture box with AI (and where it failed)

https://chiptron.eu/reviving-old-unsupported-devices-with-ai-avermedia-game-capture-hd-ii/
1•smitka•14m ago•1 comments

80% of Investing Tools Have a Free Tier

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https://github.com/labzink/cc-probeline
1•labzink•15m ago•1 comments

anti-slop: Opinionated Oxlint rules

https://github.com/dmmulroy/anti-slop
1•tosh•15m ago•0 comments

Teaching my kid to code with a modern MUD

https://tau.dev/2026/08/07/canon
1•andrewjanke•16m ago•0 comments

German advocacy group lodges criminal complaint over Meta AI glasses

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7•tartoran•17m 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.