frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Show HN: Paper UX for task management, that organizes your personal DB itself

https://notaru.ai
1•alpadurza•46s ago•0 comments

Qantas launches non-stop Sydney–London flights in modified Airbus A350

https://www.executivetraveller.com/news/qantas-non-stop-sydney-london-flights
2•helsinkiandrew•1m ago•0 comments

Show HN: AI Agent Skills to Grow Your Open Source Project

https://github.com/marketingskills/open-source-growth
1•35mm•4m ago•0 comments

Building a desktop robotics research setup

https://dfdxlabs.com/research/2026/robotics-setup/
1•sherlock_h•4m ago•0 comments

MCP360

https://mcp360.ai
1•harsheenkaur10•5m ago•0 comments

Math Education, and LLM

https://ycao.net/posts/math-education-llm
1•xiaoyu2006•5m ago•1 comments

Show HN: DBNova – A database interaction tool for developers

https://dbnova.ruiransoft.com/
1•suruiran•5m ago•0 comments

Show HN: RewardHackBench: Using sandboxes to stop agents from cheating

https://github.com/islo-labs/reward-hack-bench
1•rotemtam•6m ago•0 comments

Redesigned high-NA lithography optical system aims to revolutionize chipmaking

https://www.oist.jp/news-center/news/2026/6/16/redesigned-high-na-lithography-optical-system-aims...
1•giuliomagnifico•7m ago•0 comments

Show HN: OrbitSuite – Deterministic infrastructure for AI agent fleets

https://orbitsuite.cloud
1•SyntacticLuster•8m ago•0 comments

The Greatest Wall Street Comics of All Time

https://awealthofcommonsense.com/2026/06/the-greatest-wall-street-comic-of-all-time/
1•RickJWagner•10m ago•0 comments

Dad Didn't Need a TaskRabbit

https://www.insidehook.com/culture/why-cant-men-fix-anything-anymore
1•RickJWagner•11m ago•0 comments

Hudson River Trading's Blistering Token Burn

https://omny.fm/shows/odd-lots/inside-hudson-river-tradings-blistering-token-burn
1•Redoubts•14m ago•0 comments

Lobsters Interview with Claudius

https://alexalejandre.com/programming/interview-with-claude-roux/
1•birdculture•15m ago•0 comments

The Art of Loop Engineering

https://www.langchain.com/blog/the-art-of-loop-engineering
1•doppp•16m ago•1 comments

Next-Latent Prediction Transformers Learn Compact World Models (2025)

https://arxiv.org/abs/2511.05963
2•optimalsolver•18m ago•0 comments

Mekton (1995), mech first-person game from SGI ahead of time

https://www.neogaf.com/threads/mekton-1995-a-mech-first-person-game-from-sgi-ahead-of-time-from-t...
1•theletterf•20m ago•0 comments

A universal basic income could rebuild social cohesion (AU)

https://independentaustralia.net/politics/politics-display/a-universal-basic-income-could-rebuild...
1•robtherobber•24m ago•0 comments

An Early Example of Super Bad AI Governance

https://computerlove.tech/blog/super-bad-ai-governance
2•juunge•24m ago•0 comments

The Rape Gang Inquiry Report [pdf]

https://static1.squarespace.com/static/6810978a41bbc42489eafa81/t/6a314bb1151e511944bd4421/178161...
1•Redoubts•27m ago•0 comments

Jyllands-Posten Muhammad cartoons controversy (2005)

https://en.wikipedia.org/wiki/Jyllands-Posten_Muhammad_cartoons_controversy
1•simonebrunozzi•31m ago•0 comments

How to Sparkle in Conversation with Strangers

https://www.newscientist.com/article/2530034-how-to-sparkle-in-conversation-with-strangers/
2•Anon84•32m ago•0 comments

Multiplayer Surf_ski_2 in the Browser

https://www.surfski2.com/
1•possiblelion•32m ago•1 comments

Need a Co-Founder

1•gangaplains•35m ago•1 comments

Captured Logs Reveal Hackers Using Claude and Codex to Breach Companies

https://research.openanalysis.net/claude/codex/hacking/ai%20hacking/llm/redteam/policy%20violatio...
1•Tiberium•36m ago•1 comments

The discovery that changed how scientists think about memory – IBM

https://www.ibm.com/think/news/discovery-changed-how-scientists-think-about-memory-kavli-prize
1•rbanffy•36m ago•0 comments

How the UK government is using AI to speed up the planning system

https://takes.jamesomalley.co.uk/p/build-gemini-build
1•writerJames•37m ago•1 comments

Url.computer – client side URL parser and cURL query builder

https://url.computer/
1•interweb_tube•38m ago•1 comments

Kepp – save anything in one tap, no folders (iOS/Android)

https://kepp.io/
2•palpalych•39m ago•0 comments

Smarter Charging, An AI controller treats batteries differently as they age

https://spectrum.ieee.org/ev-charging-strategy
1•oldnetguy•39m 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.