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The Need for Experimental Law

https://www.noemamag.com/turbulent-times-call-for-experimental-law/
1•speckx•20s ago•0 comments

Open-Source 2026 AI Cloud GPU and Scraping Proxy Pool Cost Calculator

https://github.com/alekseev04051988-blip/ai-cost-calculator
1•Alekseev0405198•59s ago•0 comments

Best of Bootc Issue #1

https://kheeper.com/best-of-bootc/1
1•areed•3m ago•1 comments

Ask HN: How angry are you about Apple's walled garden when using Android?

2•yashkamireddi•3m ago•0 comments

Compress any LLM 3x in one click,near-lossless,in under 50 MB RAM

https://neuracryption.com/research
3•anushka_gandhi•3m ago•0 comments

Goodyear Inflatoplane

https://en.wikipedia.org/wiki/Goodyear_Inflatoplane
1•ZeljkoS•3m ago•0 comments

Show HN: RemoteCrab – an iPhone as your computer's camera, mic and screen

https://vgoapp.com/remotecrab/
2•edwinhao88•4m ago•0 comments

Show HN: Relinos – A Hacker's Web Browser – Any Site to API (Open-Source)

https://github.com/realsirjoe/relinos
2•realsirjoe•6m ago•0 comments

Cyberattack hits French blood bank freezer – thwarted by failsafes

https://apnews.com/article/france-plasma-blood-bank-cyberattack-temperature-fridge-12b80bcf93b840...
2•quaffcode•6m ago•1 comments

We made the first 1 PFLOP/s FlashAttention on a single H100 GPU

https://streamhpc.com/blog/2026-11-09/we-made-the-worlds-first-1-pflops-flash-attention-on-a-sing...
1•ibobev•6m ago•0 comments

Claude Code token cost explorer

https://entropicthoughts.com/claude-code-token-cost-explorer
1•ibobev•7m ago•0 comments

Old Vintage Computing Research

http://oldvcr.blogspot.com/2026/11/the-classic-console-corners-crt.html
2•dverlaeckt80•10m ago•0 comments

Show HN: Pentimento – status and lineage for your coding agent's plan files

https://github.com/kjiwa/pentimento
3•kjiwa•11m ago•1 comments

Show HN: Usul – Express neural networks as raw math in C++23

https://github.com/crushr3sist/Usul-cpp
2•ronny2fresh•11m ago•1 comments

Why Morningstar Thinks Anthropic Is Worth $1.7T

https://www.morningstar.com/stocks/why-morningstar-thinks-anthropic-is-worth-17-trillion
1•RickJWagner•12m ago•1 comments

Don't Lie to Us, Finland: The Happiness Report Has a Problem

https://mikesbalance.com/lie-to-me-world-happiness-report/
2•speckx•13m ago•1 comments

$3B to 0: Blur, once the top NFT marketplace, is shutting down. I designed it

https://sortino.co/writing/from-0-to-3-billion-to-zero
1•joshuasortino•14m ago•0 comments

Show HN: Turnus – find cron, launchd and systemd jobs that won't run, and why

https://github.com/sanifhimani/turnus
1•sanifhimani•15m ago•0 comments

Woodpecker

https://woodpecker.everydaymactools.com/
5•bookofjoe•15m ago•0 comments

UniXNU – Run iOS and macOS on Non-Apple ARM64 Hardware Through UEFI

https://unixnu.com/
1•reimertz•16m ago•0 comments

Show HN: Skyloons – a balloon-popping Android game, 1,000 levels, works offline

https://play.google.com/store/apps/details?id=com.maniar.balloonpopquest&hl=en_US
1•connectmaniar•16m ago•0 comments

Show HN: Nekolike – a coin pusher roguelike you rebuild between floors

https://pickthewheel.com/nekolike-coin-pusher/
2•gigipandora•18m ago•0 comments

CAP theorem explained using Desi Metaphors

https://abhishekco.de/posts/cap-theorem-explained-bollywood-cricket-examples
1•fantasticwaddle•20m ago•0 comments

Sydney researchers uncover a hidden limit to AI predictability

https://www.sydney.edu.au/news-opinion/news/2026/11/06/sydney-researchers-uncover-a-hidden-limit-...
3•wjSgoWPm5bWAhXB•20m ago•0 comments

Product managers are (expensive) search functions with taste

https://www.theycallmesam.com/p/product-managers-were-expensive-search
1•01sadrasam•21m ago•0 comments

Ukraine's Fiber-Optic Drones Compete with Data Centers for Optical Fiber Supply

https://epyhia.com/ukraine-s-fiber-optic-drones-compete-with-ai-data-centers-for-china-s
1•arbuge•21m ago•0 comments

Show HN: pvewarden – let an AI agent patch Proxmox VMs without giving it a shell

https://github.com/matousfiser/pvewarden
1•mattyhunter•22m ago•0 comments

The natural alliance of everyone else

https://nonzerosum.games/naturalalliance.html
3•marjancek•22m ago•2 comments

Claude Fable 5.2, one day later [video]

https://twitter.com/xhenrikkvamme/status/2120137440169984242
2•henrikkvamme•22m ago•1 comments

29M Japanese Buildings

https://tech.marksblogg.com/japanese-building-footprints.html
2•marklit•22m 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.