frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

SignalCaster

https://signalcaster.app/
1•abdoghamlouch•1m ago•0 comments

Linux desktop use surged to 22% on one workday, Cloudflare data shows

https://www.zdnet.com/article/linux-desktop-use-surged-on-one-workday-cloudflare-data-shows/
1•speckx•2m ago•0 comments

Numbat by Perplexity: Endpoint visibility into AI agent activity

https://github.com/perplexityai/numbat
1•handfuloflight•3m ago•0 comments

SWE-Bench ProMax: Benchmarking Agents on Large-Scale Code Refactoring

https://arxiv.org/abs/2608.09802
1•williamjinq•4m ago•0 comments

4Chan Chuds Used AI to Clothe Her. She Fought Back (2024)

https://www.rollingstone.com/culture/culture-news/dignifai-4chan-shame-women-1234961851/
1•TMWNN•5m ago•0 comments

Stealing Reasoning Traces from Proprietary LLM APIs

https://arxiv.org/abs/2608.09867
1•vismit2000•6m ago•0 comments

The lifesaving secret hidden inside a horseshoe crab's blue blood

https://whdh.com/news/the-lifesaving-secret-hidden-inside-a-horseshoe-crabs-blue-blood-and-the-ra...
2•andsoitis•17m ago•0 comments

New Bedford police officer accused of using Flock cameras to track ex-partner

https://newbedfordlight.org/new-bedford-police-officer-accused-of-using-flock-cameras-to-track-an...
3•newsomix9xl•20m ago•3 comments

The traits that make engineers stand out, according to Coinbase's CTO

https://www.businessinsider.com/coinbase-cto-shares-traits-standout-engineers-have-ai-era-2026-8
2•doctaj•22m ago•0 comments

Gen Z has rediscovered the joy of going to the movies

https://www.economist.com/culture/2026/08/11/gen-z-has-rediscovered-the-joy-of-going-to-the-movies
5•andsoitis•23m ago•3 comments

Nvidia's Great Silicon Showdown

https://www.economist.com/business/2026/08/11/nvidias-great-silicon-showdown
1•andsoitis•24m ago•0 comments

Show HN: AirStats – the lightest Mac menu bar system monitor

https://airstats.app/
2•byrencodes•24m ago•0 comments

Advanced AI Sycophancy

https://www.seangoedecke.com/advanced-ai-sycophancy/
2•chaychoong•25m ago•0 comments

Am I the problem? Interviewing another team to find out

https://www.macchaffee.com/blog/2026/am-i-the-problem/
1•abelanger•27m ago•0 comments

I built a failover daemon for Vast.ai spot GPUs, found 5 real bugs testing it

https://github.com/enplabs/spotwarp
1•choi5844•28m ago•0 comments

A least-privilege linter for Claude Code agent policies

https://www.npmjs.com/package/@cognitive-fab/polycheck
1•jdubray•32m ago•0 comments

Skills from a Smart Bear

https://skills.asmartbear.com/
2•mooreds•33m ago•0 comments

Malicious Chrome VPN Extensions Discovered That Do Traffic Redirection

https://socket.dev/blog/chrome-vpn-extension-impersonation
1•feross•33m ago•0 comments

Replantio

https://replantio.com/
1•gdss•41m ago•0 comments

Show HN: Kernelspace- interactive course on systems programming for LLM Serving

https://kernelspace.naigap.com/
1•praveer13•43m ago•0 comments

Why Tokenmaxxing Is for Fools. A Rant on Fake Productivity

https://joereis.substack.com/p/why-tokenmaxxing-is-for-fools-a-rant
3•doppp•43m ago•0 comments

Text Watermarking for Non-Academics

https://blog.gaborkoos.com/posts/2026-08-12-Text-Watermarking-for-Non-Academics/
1•nikolay•45m ago•0 comments

Gemini becomes Google's fastest-growing product ever as it hits 1B users

https://arstechnica.com/ai/2026/08/google-says-gemini-has-reached-1b-users-faster-than-any-other-...
3•Gaishan•46m ago•2 comments

Fastest Inference Meta Muse Glimmer 30B on Apple

https://www.basecompute.co/getbasert
2•lukasonedge•49m ago•0 comments

Almost nowhere in California is building enough, according to the state

https://calmatters.org/housing/2026/08/california-rhna-housing-affordable-progress/
2•littlexsparkee•51m ago•1 comments

We're in the Most Dangerous Period – With Doomberg [video]

https://www.youtube.com/watch?v=uP6PCZTPQ2U
2•Bender•51m ago•1 comments

Codex in ChatGPT desktop app for Linux in preview

https://community.openai.com/t/codex-in-chatgpt-desktop-app-for-linux-is-now-in-preview/1390027
1•tmp10423288442•54m ago•0 comments

Show HN: Spend.Report – See what you're spending money on each month

https://spend.report/
1•nadermx•55m ago•0 comments

A podcast trying to complete Campaign for North Africa

https://www.wargamer.com/board-games/the-campaign-for-north-africa-two-years
1•pavel_lishin•57m ago•0 comments

GPU Management: Why Idle GPUs Are the New Grounded Aircraft

https://huggingface.co/blog/Dharma-AI/gpu-management
2•gmays•58m 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.