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Why Doesn't Ellison Shave? He'd Look Better

https://www.fastcompany.com/47335/larrys-bad-facial-hair-day
1•Poldart•57s ago•0 comments

CRTC's Streamer Contribution Decisions Dead, Online Streaming Act Reset to Come

https://www.michaelgeist.ca/2026/07/starting-over-court-filing-confirms-the-crtcs-streamer-contri...
1•jyunwai•1m ago•0 comments

AI Agent Authentication and Authorization (IETF Internet-Draft)

https://datatracker.ietf.org/doc/html/draft-klrc-aiagent-auth
1•jhgaylor•4m ago•1 comments

Can AI agents conduct open-ended AI research?

https://arxiv.org/abs/2607.27191
1•randomwalker•4m ago•0 comments

thinkingmachines/Inkling-Small

https://huggingface.co/thinkingmachines/Inkling-Small
2•Philpax•5m ago•0 comments

New cars are getting 1.2cm longer and 0.5cm taller each year

https://www.transportenvironment.org/articles/ever-bigger-car-size-at-a-crossroads
1•giuliomagnifico•5m ago•0 comments

You Are the Riverbed

https://nik.art/you-are-the-riverbed/
1•herbertl•5m ago•0 comments

Building Hollywood Motion Capture from Scratch

https://www.youtube.com/playlist?list=PLFA4eWSzGLgg
1•ivanjermakov•6m ago•0 comments

Gunther von Hagens Obituary

https://www.theguardian.com/artanddesign/2026/jul/30/gunther-von-hagens-obituary
1•n1b0m•6m ago•0 comments

We Gave GPT 5.6 Sol a Real Business. It Lied, Spammed, and Lost $447

https://www.bottlenecklabs.com/blog/autonomously-run-businesses
2•Areibman•8m ago•0 comments

Flock CEO Claims They've Been Thinking About Privacy for Nine Years

https://ipvm.com/reports/flock-privacy-nine
1•jhonovich•8m ago•0 comments

China is starting to measure EV charging times in seconds, not minutes

https://electrek.co/2026/07/30/china-is-starting-to-measure-ev-charging-times-in-seconds-not-minu...
1•Brajeshwar•9m ago•0 comments

Kagi releases official Kagi Assistant apps

https://kagi.com/changelog#11136
1•PhilippGille•12m ago•0 comments

GardenOS: A Garden That Remembers (Prelaunch Best Practices)

https://github.com/KrazyKulsum/earth-scribe-suite
1•kulsumshannan•12m ago•0 comments

A tool for finding the causes of unstable Python tests

https://github.com/mgaitan/pytest-leak-finder
1•pomponchik•13m ago•0 comments

Apple's New Upgrade Program Is a Trap

https://www.theatlantic.com/technology/2026/07/apple-lease-upgrade-program/688106/
2•littlexsparkee•16m ago•0 comments

China's "artificial sun" project achieves new engineering milestone

https://en.people.cn/n3/2026/0629/c90000-20472114.html
2•yogthos•17m ago•0 comments

Web, iOS and Android from Same Codebase with Dowe Lang

https://dowe.dev
1•victorriba•17m ago•0 comments

We Are Losing the Ability to Discover What We Didn't Know to Ask

https://www.nytimes.com/2026/07/08/opinion/ai-google-gemini-search-questions.html
1•monkeydust•17m ago•1 comments

Trump's Career Mirrors Godzilla in Political Study

https://www.chosun.com/english/industry-en/2026/07/30/QFS6NTDIXNCPFKHAPPXHWUMROE/
1•DemiGuru•18m ago•0 comments

That's Not What I Meant by 'Using AI'

https://mudlej.com/articles/ai-development-approaches/
1•jhartikainen•20m ago•1 comments

Tim Cook's Final Earnings Call as Apple CEO

https://www.macrumors.com/2026/07/30/tim-cook-final-earnings-call-as-apple-ceo/
1•tosh•22m ago•0 comments

Spacecraft Fly

https://www.howspacecraftfly.com/
1•ColinWright•22m ago•0 comments

Erasure to Reach AGI

https://twitter.com/i/status/2082827517338005700
2•iamronaldo•23m ago•0 comments

Advancing the price-performance frontier with GPT‑5.6

https://openai.com/index/advancing-the-price-performance-frontier-with-gpt-5-6/
55•tedsanders•23m ago•18 comments

The Joy of Obsidian

https://www.jackbodine.com/blog/the-joy-of-obsidian/
2•speckx•24m ago•1 comments

Which programming languages offer built-in tools for modernizing your code?

https://seroter.com/2026/07/30/which-programming-languages-offer-built-in-tools-for-modernizing-y...
2•richards•24m ago•0 comments

AI policies that don't suck

1•reilly3000•26m ago•0 comments

Dana Scott – Geometry Without Points (2014) [video]

https://www.youtube.com/watch?v=sDGnE8eja5o
1•measurablefunc•26m ago•0 comments

Saturation: How Your Software Will Fail at Scale – Lorin Hochstein [video]

https://www.youtube.com/watch?v=PHYCRubnmSM
1•wofo•28m 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.