frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

What Is the Positive Grassmannian and Why Does It Show Up Everywhere?

https://www.quantamagazine.org/what-is-the-positive-grassmannian-and-why-does-it-show-up-everywhe...
1•Brajeshwar•1m ago•0 comments

Swsim: A Software SIM Card

https://github.com/tomasz-lisowski/swsim
1•fanf2•1m ago•0 comments

AI Broke Software's Best Trick

https://ardonio.com/posts/ai-broke-software-marginal-cost/
1•mooreds•2m ago•0 comments

Show HN: Learn to code, free on Open Source software

https://libre.academy/
1•Mattx4•2m ago•0 comments

Show HN: Goodshelf – Bookshelf from Goodreads Bookshelves

https://github.com/kmcheung12/goodshelf
2•a_c•3m ago•0 comments

Beta test TeXmacs on Android

https://nuage.lix.polytechnique.fr/index.php/apps/forms/s/stfxAj2S2xnqC3aajYjKwtk7
1•amichail•4m ago•0 comments

IBM Announces 0.7nm Process Node, Introduces NanoStack

https://morethanmoore.substack.com/p/ibms-announces-07nm-process-node
3•zdw•5m ago•0 comments

Using AI to build a "self-improving" company? ~Copy #390 on Global Fortune 500

https://frankruscica.substack.com/p/ai-haier-synergy
2•frankruscica•5m ago•0 comments

Paris police asks major festivals be cancelled due to relentless heatwave

https://www.france24.com/en/paris-police-asks-major-festivals-be-cancelled-due-to-relentless-heat...
3•bookofjoe•7m ago•0 comments

Anatomy of a Failed (Nation-State?) Attack

https://grack.com/blog/2026/06/25/dissecting-a-failed-nation-state-attack/
2•mmastrac•7m ago•0 comments

SQLite improving performance with pre-sort

https://andersmurphy.com/2026/06/07/sqlite-improving-performance-with-pre-sort.html
3•tosh•7m ago•0 comments

Update on Mercor Security Incident

https://www.mercor.com/blog/update-on-mercor-security-incident/
3•chirau•7m ago•0 comments

The Excavator That Digs to a Line It Cannot See – Mobility and Field Robotics

https://atomsfrontier.substack.com/p/the-excavator-that-digs-to-a-line
2•jpatel3•10m ago•0 comments

The Data-Center Divide

https://harpers.org/archive/2026/06/the-data-center-divide-andrew-cockburn-artificial-intelligence/
3•speckx•12m ago•0 comments

Open Source, APIs, and the Rise of Agent-Led Growth

https://theapplied.substack.com/p/from-product-led-to-agent-led-growth
2•hsantana8•12m ago•0 comments

A startup claims it broke through a bottleneck that's holding back LLMs

https://www.technologyreview.com/2026/06/19/1139313/a-startup-claims-it-broke-through-a-bottlenec...
2•zacharyozer•12m ago•1 comments

Control Structures in Programming Languages

https://xavierleroy.org/control-structures/book/index.html
2•birdculture•13m ago•0 comments

Outbreak

https://meltingasphalt.com/interactive/outbreak/
3•surprisetalk•13m ago•0 comments

Perseverance Scratches the Martian Surface, Finds Organic Carbon

https://nautil.us/perseverance-scratches-the-martian-surface-finds-organic-carbon-1282262
5•Brajeshwar•14m ago•0 comments

Airlock – crash isolation for Swift on macOS without fork()

https://github.com/MaximKotliar/Airlock
2•warminvention•15m ago•0 comments

By Humans, for Humans

https://mindfuldesign.xyz/by-humans/
2•eustoria•17m ago•0 comments

Supreme Court ruling blocks lawsuits against maker of Roundup

https://apnews.com/article/supreme-court-roundup-monsanto-a7f054d80919f98bdfc5190013a8f6f1
4•randycupertino•17m ago•2 comments

Vision for the Godot Engine

https://godot.foundation/policies-and-procedures/project-vision-statement
3•0x1ceb00da•18m ago•0 comments

Why Old DSLRs Still Win Wildlife Photography Awards

https://fstoppers.com/originals/why-decade-old-dslr-keeps-winning-awards-and-what-should-teach-90...
2•eustoria•18m ago•0 comments

CNBC Cures

https://www.cnbc.com/cures/
2•kamaraju•19m ago•0 comments

Show HN: ZeroGate – API gateway to scale cloud GPUs to zero when idle

https://github.com/noah-garner/zerogate
2•ngarner•20m ago•0 comments

Intervention No. 1 "Quantum" performed by a cello that's played by two robots [video]

https://www.youtube.com/watch?v=a0Ehoc65MF8
2•speckx•20m ago•0 comments

BrokenClaw Part 7: Opus-4.8 Edition – All Emails Lead to RCE

https://veganmosfet.codeberg.page/posts/2026-06-04-openclaw_opus48/
4•e12e•22m ago•1 comments

Level Design: Readability

https://blendogames.com/news/post/2026-06-xx-leveldesign_readability/
3•eustoria•22m ago•0 comments

Q-Day has begun. Are you ready?

https://www.ibm.com/think/news/q-day-has-already-begun-are-you-ready
2•NickDouglas•22m ago•1 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.