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What's biggest mistake companies make when trying to implement Generative AI?

1•datacouch•53s ago•0 comments

C++26 Reflection loves QRangeModel

https://www.qt.io/blog/c26-reflection-qrangemodel
1•jandeboevrie•1m ago•0 comments

The Paper 3

https://zenodo.org/records/18293965
1•KaoruAK•5m ago•0 comments

X algorithm has been open sourced

https://github.com/xai-org/x-algorithm
1•grainier•5m ago•0 comments

Management Time: Who's Got the Monkey? [pdf]

https://www.med.unc.edu/uncaims/wp-content/uploads/sites/764/2014/03/Oncken-_-Wass-Who_s-Got-the-...
1•rintrah•10m ago•1 comments

Chatbot Psychosis

https://en.wikipedia.org/wiki/Chatbot_psychosis
3•tbmtbmtbmtbmtbm•12m ago•0 comments

Stevey's Birthday Blog

https://steve-yegge.medium.com/steveys-birthday-blog-34f437139cb5
1•throwawayHMM19•15m ago•0 comments

Crypto criminals stole $700M from people

https://www.bbc.com/news/articles/c93w30gl5jno
2•dayli•16m ago•0 comments

Show HN: Stashcast – Self-hosted custom podcast feeds for any media

https://github.com/jonocodes/stashcast
1•jonotime•24m ago•0 comments

China's Birthrate Sinks to Record Low

https://www.wsj.com/world/china/chinas-population-falls-for-fourth-straight-year-409986bd
6•RestlessMind•27m ago•1 comments

Run coding agents on your desktop without breaking your flow

https://www.ami.dev/
1•alexinavar•32m ago•1 comments

Show HN: Crapless craps – flutter PWA vibe coded from my phone

https://craps.exe.xyz:8081/
2•calderwoodra•35m ago•0 comments

Let's Buy California from Trump – Denmark's Next Big Adventure

https://denmarkification.com/
7•mil22•36m ago•0 comments

Building Production-Grade Micro Services on Azure Kubernetes

https://medium.com/@koladilip/building-production-grade-micro-services-on-azure-kubernetes-2884b5...
1•koladilip•37m ago•0 comments

Why 33% of NYC logistics thefts happen when the driver is nearby (Analysis)

https://www.tranzia.com/blog/nyc-logistics-safety
1•mednosis•43m ago•1 comments

My favorite NP-complete problem (2016) [video]

https://www.youtube.com/watch?v=BJBnR5Sn-sc
1•todsacerdoti•50m ago•0 comments

Show HN: Saile – credential once, work anywhere for clinicians

https://www.saileapp.com/
1•mayoub1•50m ago•0 comments

Japan's 40-year bond yield hits 4% record on fiscal jitters

https://www.cnbc.com/2026/01/20/japan-40-year-jgb-government-bond-yield-record-fiscal-jitters-sna...
2•zerosizedweasle•51m ago•0 comments

OpenAI launches GPT-audio and GPT-audio-mini

https://platform.openai.com/docs/models/gpt-audio
2•reed1234•52m ago•1 comments

Validation Economy: How Western Creators Monetize South Asia's Need to Be Seen

https://skift.com/2026/01/18/the-validation-economy-how-western-travel-creators-monetize-south-as...
1•ilamont•53m ago•1 comments

Show HN: Hammer of JSON

https://github.com/andrewbaxter/hammer-of-json
3•rendaw•53m ago•0 comments

EmuDevz – A game about building emulators

https://store.steampowered.com/app/4260720/EmuDevz/
3•evo_9•58m ago•1 comments

The Catcher in the Prompt: Day 60

https://blog.pytoshka.me/post/the-catcher-in-the-prompt/
1•kenny-opennix•58m ago•1 comments

Chinese Batteries Will Run the World

https://www.nytimes.com/2026/01/19/opinion/trump-energy-china-future.html
5•cmod•59m ago•0 comments

Show HN: A simple fork of gpodder2go for lightweight self-hosted podcast sync

https://github.com/ijustlovemath/gpodder2go
1•ijustlovemath•1h ago•0 comments

The Overcomplexity of the Shadcn Radio Button

https://maxkapur.com/2025/12/19/perfect-match-integer-programming.html
2•owenlacey•1h ago•0 comments

Hijacking Bluetooth Accessories Using Google Fast Pair

https://whisperpair.eu/
1•csmantle•1h ago•0 comments

RCS for Business

https://developers.google.com/business-communications/rcs-business-messaging
3•sshh12•1h ago•1 comments

Cyberpunk 2077 VR mod disappears after mod maker pulls the plug

https://www.pcgamer.com/games/vr/cyberpunk-2077-vr-mod-disappears-after-mod-maker-decides-hed-rat...
1•evo_9•1h ago•0 comments

The Tenth Watch for the Tenth Pitch Drop

http://thetenthwatch.com
2•mattas•1h ago•0 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•8mo 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•8mo 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•8mo 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•8mo 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.