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Wall-run (4k:c64,v20,c16,zx,PC)

https://orac81.itch.io/wall-run
2•orac81•4m ago•0 comments

Maestral open-source Dropbox client no longer actively supported

https://maestral.app/
2•rja65•5m ago•0 comments

Volkswagen's Crisis in Five Charts

https://www.reuters.com/business/autos-transportation/volkswagens-crisis-five-charts-2026-06-30/
1•leonidasrup•7m ago•0 comments

2021 Florida Condo Collapse. NIST Investigation Concluded

https://www.popularmechanics.com/science/a71731922/surfside-condo-collapse/
1•bryan0•8m ago•1 comments

Doubt that Elon Musk 'earned' his trillion?

https://www.theguardian.com/global/commentisfree/2026/jun/30/elon-musk-trillion-rightwing-media
4•jethronethro•10m ago•0 comments

OrgForge: The Next Step in Enterprise AI Simulation

https://www.machinebrief.com/news/orgforge-the-next-step-in-enterprise-ai-simulation-u364
2•decorner•11m ago•0 comments

wrtK8s [video]

https://www.youtube.com/watch?v=QcRyje_gGYM
1•JustinGarrison•11m ago•1 comments

Scientists Unlock Hidden DNA from 1,300-Year-Old Manuscripts

https://scitechdaily.com/scientists-unlock-hidden-dna-from-1300-year-old-manuscripts/
1•bookofjoe•12m ago•0 comments

There's panic buying of fuel in Russia now

https://www.youtube.com/watch?v=1zVjnH1yc_I
1•t23414321•12m ago•0 comments

Rock Balloons. (4k:c64/v20/c16/zx/pc)

https://orac81.itch.io/rock-balloons
1•orac81•13m ago•0 comments

Google introduces a faster, cheaper image generator with Nano Banana 2 Lite

https://techcrunch.com/2026/06/30/google-introduces-a-faster-cheaper-image-generator-with-nano-ba...
1•ameypandey•16m ago•0 comments

Show HN: Distributed LLM tracing and GH PR/issue linking [Apache 2.0]

https://github.com/superlinked/synty
1•supo•17m ago•0 comments

WinRAR Version 7.23

https://www.win-rar.com/start.html?&L=0
3•ms7892•22m ago•0 comments

The AI Mirage or Why I Think the Hype Can't Sustain Itself

https://louwrentius.com/the-ai-mirage-or-why-i-think-the-hype-cant-sustain-itself.html
4•louwrentius•26m ago•2 comments

Worlds best online scheduling software

https://humanz.net.au/about
2•rlomen_hmz•29m ago•1 comments

Demystifying Security Risks of AI-Powered Applications on Pre-Trained Model Hubs

https://arxiv.org/abs/2606.30373
2•runningmike•29m ago•1 comments

Will Earth survive the Sun's death? New study suggests it might.

https://fys.kuleuven.be/ster/news/2026/will-earth-survive-the-suns-death-new-study-suggests-it-might
2•layer8•30m ago•0 comments

Is There an Official Maintained Python Koans Repo?

https://github.com/gregmalcolm/python_koans
2•idontwantthis•31m ago•1 comments

Physics Books Recommended by a Harvard Physics Student

https://abakcus.com/book-lists/physics-books-harvard-student
4•zetamax•31m ago•0 comments

Bending Spoons, Owner of AOL and Other Old Internet Brands, Is Going Public

https://www.nytimes.com/2026/06/30/technology/bending-spoons-ipo-aol-vimeo-eventbrite.html
3•donohoe•31m ago•0 comments

Building an Actual Country of Geniuses

https://www.youtube.com/watch?v=ekUSgzJI1-I
2•valhalladev•33m ago•1 comments

A New Look at AI's Impact on Jobs

https://ramp.com/data/ai-jobs-impact
3•in-silico•34m ago•0 comments

YouTube and Algorithmic Feeds

https://lzon.ca/posts/other/youtube-algorithm/
2•jpmitchell•34m ago•0 comments

Show HN: Trains – leaderless total-order broadcast in Rust, formally verified

https://github.com/yeychenne/trains-rust
3•yeychenne•35m ago•0 comments

Accelerating LLM Inference on AMD GPUs with Low-Latency GEMMs

https://rocm.blogs.amd.com/software-tools-optimization/accelerating-llm-inference-on-amd-gpus-wit...
2•matt_d•37m ago•0 comments

Supreme Court ruling guts government's use of geofence warrants

https://arstechnica.com/tech-policy/2026/06/supreme-court-ruling-guts-governments-use-of-geofence...
1•SG-•37m ago•0 comments

Agentic Hardware Design as Repository-Level Code Evolution

https://arxiv.org/abs/2606.28279
1•matt_d•37m ago•0 comments

Rebuilt old Instagram, Enjoy:D

1•RoastSlop•37m ago•0 comments

Keep It Local

https://www.olafalders.com/2026/06/30/keep-it-local/
3•oalders•37m ago•0 comments

Insulin Resistance Is a Useless Construct

https://www.exfatloss.com/p/insulin-resistance-is-a-useless-construct
1•paulpauper•37m 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.