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Musk clips his Mars settlement ambition, aims for the moon instead

https://www.cnn.com/2026/02/08/science/elon-musk-spacex-priorities-moon-intl-hnk
1•sebastian_z•1m ago•0 comments

Alphabet looks to raise about $15B from US bond sale

https://www.reuters.com/business/alphabet-looks-raise-about-15-billion-us-bond-sale-bloomberg-new...
1•indigodaddy•2m ago•0 comments

Step 3.5 Flash

https://static.stepfun.com/blog/step-3.5-flash/
1•oldfuture•2m ago•0 comments

Is HubSpot aggressive about collections?

https://old.reddit.com/r/hubspot/comments/1r0a00z/hubspot_collections_after_cancelling_question/
1•waldopat•3m ago•0 comments

Windows 11 vs. Ubuntu Linux Performance for Intel Core Ultra X7 Panther Lake

https://www.phoronix.com/review/windows-linux-panther-lake
1•rbanffy•3m ago•0 comments

Show HN: ClawSec an open-source, community-driven secure skill suite

https://github.com/prompt-security/clawsec
2•abutbul•4m ago•1 comments

Tutorial – What is a variational autoencoder?

https://jaan.io/what-is-variational-autoencoder-vae-tutorial/
1•teleforce•4m ago•0 comments

Show HN: Ayder Crash Sandbox – SIGKILL durability proof (per-visitor container)

https://ayder.xyz/sandbox/4e6c7c40
1•Aydarbek•5m ago•1 comments

Show HN: Context Lens – See what's inside your AI agent's context window

https://github.com/larsderidder/context-lens
1•theredbeard•6m ago•0 comments

Continuous AI in practice: What developers can automate today with agentic CI

https://github.blog/ai-and-ml/generative-ai/continuous-ai-in-practice-what-developers-can-automat...
1•alhazrod•6m ago•0 comments

Hard-braking events as indicators of road segment crash risk

https://research.google/blog/hard-braking-events-as-indicators-of-road-segment-crash-risk/
1•aleyan•6m ago•0 comments

Opus 4.6, Codex 5.3, and the post-benchmark era

https://www.interconnects.ai/p/opus-46-vs-codex-53
1•pretext•8m ago•0 comments

Volvo Proposes 100-Mile Plug-In Hybrids for Drivers with Range Anxiety

https://www.thedrive.com/news/volvo-proposes-100-mile-plug-in-hybrids-as-a-bridge-for-drivers-wit...
1•PaulHoule•11m ago•2 comments

Intel Releases QATlib 26.02 with New APIs for Zero-Copy DMA

https://www.phoronix.com/news/Intel-QATlib-26.02
1•rbanffy•11m ago•0 comments

Ct. of App. of Tenn. rules Nashville shooter docs must be open for inspection

https://www.courtlistener.com/opinion/10784211/clata-renee-brewer-v-metropolitan-government-of-na...
1•pcaharrier•12m ago•0 comments

Show HN: Airut – Sandboxed Claude Code sessions over email

https://github.com/airutorg/airut
1•hardsnow•12m ago•0 comments

A Brief History of App Icons from Apple's Creator Studio

https://blog.jim-nielsen.com/2026/history-of-creator-studio-icons/
1•ulrischa•12m ago•0 comments

Formal model of time entry (aggregation → composition)

https://github.com/VoxleOne/FunctionalUniverse/blob/main/docs/history-entry-mechanism.md
1•voxleone•14m ago•0 comments

World Models and the Data Problem in Robotics

https://joeljang.github.io/world-models-for-robotics
1•gmays•16m ago•0 comments

Artemis II Races China to Get Astronauts to the Moon

https://spectrum.ieee.org/artemis-ii-launch-nasa-orion
1•rbanffy•17m ago•0 comments

effect.app

https://effect.app
1•helloplanets•17m ago•0 comments

Show HN: Stop tracking time, start reconstructing work (with anker)

https://github.com/charemma/anker
1•charemma•18m ago•0 comments

The Only Thing Standing Between Humanity and AI Apocalypse Is Claude?

https://www.wired.com/story/the-only-thing-standing-between-humanity-and-ai-apocalypse-is-claude/
1•bpedro•18m ago•1 comments

A55d2c8dd2e136de9e334bcbe030bc2e

https://gist.github.com/jewe8ham/a55d2c8dd2e136de9e334bcbe030bc2e
1•graefsw•20m ago•0 comments

Show HN: Pyrig – One command to set up a production-ready Python project

https://github.com/Winipedia/pyrig
1•Winipedia•20m ago•0 comments

Guidelines for Contributing with AI

https://github.com/qdrant/qdrant/pull/8076/files
2•generall•21m ago•0 comments

Ultrarunners in Secondhand Trainers

https://www.theguardian.com/global-development/2026/feb/09/ultrarunners-rickshaw-drivers-madagasc...
2•slow_typist•22m ago•0 comments

Design Basics for Developers

https://www.designlanguage.xyz/about
1•charlesiv•23m ago•0 comments

Stop abusing Bernoulli when describing lift

https://boards.straightdope.com/t/stop-abusing-bernoulli-when-describing-lift/647933
1•the-mitr•24m ago•0 comments

We Forked Supabase Because Self-Hosted Postgres Is Broken

https://vela.simplyblock.io/blog/vela-open-source/
7•yrashk•24m ago•0 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•9mo 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•9mo 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•9mo 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•9mo 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.