frontpage.
newsnewestaskshowjobs

Made with ♥ by @iamnishanth

Open Source @Github

fp.

OpenScholarXIV

https://github.com/ScholarXIV/OpenScholarXIV/releases/tag/v4.0.0
1•dagmawibabi•50s ago•0 comments

Brazilian Food-Delivery Giant iFood Targeted in Alleged 43.8M Data Leak

https://darkwebinformer.com/brazilian-food-delivery-giant-ifood-targeted-in-alleged-43-8m-record-...
1•flykespice•1m ago•0 comments

Amazon scraps AI leaderboard to stop workers chasing usage scores

https://www.ft.com/content/b1a62a7f-6df5-4c90-94ce-64ce9c9961b6
2•mmarian•1m ago•0 comments

RentAnAgent – automating 80% of white collar work

https://rentanagent.app
1•RentAnAgent•1m ago•0 comments

Ad Infinitum

https://matthiasott.com/notes/ad-infinitum
1•freediver•2m ago•0 comments

Show HN: CVE-2026-40369 Windows Kernel Arbitrary Write Chrome SBX

https://pwn2nimron.com/blog
2•orinimron123•2m ago•0 comments

Anthropic Rockets to $965B Valuation, Topping OpenAI in AI Showdown

https://www.wsj.com/tech/ai/anthropic-valuation-openai-80bf2c0a
2•doener•4m ago•0 comments

Avoiding Death on the Yellow Brick Road

https://www.a16z.news/p/avoiding-death-on-the-yellow-brick
2•ex-aws-dude•6m ago•0 comments

NY and NJ subpoena FIFA over 'manipulated' World Cup ticketing

https://www.theguardian.com/football/2026/may/27/new-york-new-jersey-investigation-fifa-ticketing
3•darth_avocado•8m ago•0 comments

LEGO model of a nuclear research reactor for teaching physics

https://beta.ideas.lego.com/product-ideas/e235fbd0-8ab8-4575-bd1c-37a25625f118
3•vilgoupil•9m ago•0 comments

BofA Banker Courted Epstein for Years Leading Up to His Arrest

https://www.bloomberg.com/news/articles/2026-05-28/epstein-files-reveal-ongoing-ties-with-this-on...
2•petethomas•9m ago•0 comments

Show HN: Grove, an open-source MCP server to search/write to your Obsidian Vault

https://github.com/jmilinovich/grove
2•jmilinovich•11m ago•0 comments

Protestware for Coding Agents

https://nesbitt.io/2026/05/28/protestware-for-coding-agents.html
3•SVI•12m ago•0 comments

The Python Features We Almost Got but Never Did

https://medium.com/techtofreedom/9-python-features-we-almost-got-but-never-did-4fcc5b358d55
2•yangzhou•14m ago•0 comments

StackAI Acquired by Asana

https://asana.com/press/releases/pr/asana-acquires-stackai-adding-cross-system-execution-for-huma...
2•karissaho•15m ago•0 comments

How far behind are open models?

https://www.lesswrong.com/posts/rJcCrXyEsJKmmDpWG/how-far-behind-are-open-models
3•alecco•16m ago•0 comments

New Research Upends the Argument for a Popular Longevity Supplement NAD+

https://www.nytimes.com/2026/05/23/well/nad-longevity-supplement-antiaging.html
5•JumpCrisscross•19m ago•0 comments

Motorola stops hijacking the Amazon app, which was 'unintended'

https://9to5google.com/2026/05/27/motorola-amazon-app-unintended/
4•Cider9986•20m ago•0 comments

RNG: Flat Datacenter Networks at Scale

https://arxiv.org/abs/2604.15261
2•bbgm•23m ago•0 comments

Notes on Optimizing Battery Life

https://maurycyz.com/misc/battery/
4•wrxd•28m ago•0 comments

Ask HN: Entrepreneurs, how long did it take you to succeed?

22•asdev•30m ago•6 comments

Show HN: Rig – Local-first code graph for coding agents, in one npx command

https://github.com/Astralchemist/rig
2•akashi_dev•31m ago•0 comments

Mathematically Accurate Interior Quiz

https://mystofa.com/quizes/design-test
2•assorium•34m ago•2 comments

Email triage with an embedding-based classifier

https://adamwiggins.com/posts/triage-embedding-classifier/
2•privong•34m ago•0 comments

OpenAI Privacy Policy Update

https://www.diffchecker.com/GVastzQG/
4•hnroo99•38m ago•1 comments

Green Paradox

https://en.wikipedia.org/wiki/The_Green_Paradox
2•leonidasrup•40m ago•0 comments

US troops are reportedly being targeted using location data, Pentagon says

https://www.militarytimes.com/news/pentagon-congress/2026/05/28/us-troops-are-reportedly-being-ta...
11•jethronethro•40m ago•1 comments

Reachy Mini bot goes local

https://huggingface.co/blog/local-reachy-mini-conversation
3•homarp•48m ago•1 comments

It's "Fine" for Me

https://codeberg.org/lievenmoors/fine
3•lievenmoors•50m ago•1 comments

I Made a Million Dollar Product from My Dorm Room (2025)

https://nick.winans.io/blog/nice-nano/
4•mattrighetti•50m 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.