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Show HN: Keychron macOS Battery Life and Controls

https://github.com/bkovacev/keychron-macos
1•bkovacev•1m ago•0 comments

In 1988, the Morris worm took out 10% of the Internet

https://twitter.com/martin_casado/status/2098470828602270009
1•tosh•2m ago•0 comments

Show HN: Research-ready datasets from public data in mins

https://mostlyright.md/datasets/kalshi-settlement-rules-and-sources-2026
1•Bobono•2m ago•0 comments

Military jet triggered UK's latest air traffic meltdown

https://www.ft.com/content/e070149c-70a4-41ee-a829-0630abb2ce35
1•jasoncartwright•2m ago•0 comments

I Am a Flat-Rate Monthly Responsibility Service

https://matduggan.com/i-am-a-flat-rate-monthly-responsibility-service/
2•weaksauce•2m ago•0 comments

I spent $220 on Google app ads. 60% of the installs were robots

https://dayzlegame.com/blog/google-ads-bot-farm/
1•nickabe•3m ago•0 comments

Ask HN: How are much smarter AI models made?

1•superasn•4m ago•0 comments

Codeveloper of Ethernet Predecessor Dies at 91

https://spectrum.ieee.org/codeveloper-of-ethernet-predecessor-dies
2•Brajeshwar•6m ago•0 comments

GPT-6 Astra does 3D camera tracking and VFX in Blender

https://twitter.com/ryanvogel/status/2098477000843211081
2•ryanvogel•6m ago•0 comments

Hackers are stealing Claude tokens from subscribers

https://techcrunch.com/2026/09/08/hackers-are-stealing-claude-tokens-from-subscribers/
1•gscott•7m ago•0 comments

Show HN: Minimal Static Website Hosting Tool

https://github.com/VictorioBerra/mistatic
1•Lord_Zero•7m ago•0 comments

LLMs Are Cheating [video]

https://www.youtube.com/shorts/skV0hDd-chM
1•adaba1234•8m ago•0 comments

An Analysis of Two Architectures for Agentic Data Analysis

https://www.starburst.io/blog/an-analysis-of-two-architectures-for-agentic-data-analysis/
2•abadid•8m ago•1 comments

My golf simulator now hosts local LLMs

https://yatharth.xyz/blog/why-redmonitor
1•y99•9m ago•0 comments

Cops Play Hide and Seek About Using Spy Tech to Avoid Scrutiny and Bad PR

https://www.eff.org/deeplinks/2026/09/cops-play-hide-and-seek-about-using-spy-tech-avoid-scrutiny...
2•paimapi•9m ago•1 comments

Inside the OpenAI agent swarm that hacked Hugging Face (video)

https://www.dwarkesh.com/p/ajeya-cotra
1•mooreds•11m ago•0 comments

The Second Plane, 25 Years Later [video]

https://www.youtube.com/watch?v=84gzkfDXkAU
2•ebb_earl_co•11m ago•2 comments

Postgres Select Distinct Does Not Scale

https://www.dbos.dev/blog/postgres-select-distinct-does-not-scale
2•qianli_cs•12m ago•0 comments

The emerging AI paper-review arms race

https://arxiv.org/abs/2609.07713
1•anigbrowl•13m ago•0 comments

Huawei showcases a 7.2Tbps near-package optics module for AI infrastructure

https://technode.com/2026/09/11/huawei-showcases-a-7-2tbps-near-package-optics-module-for-ai-infr...
1•yogthos•13m ago•0 comments

Mammouth AI

https://mammouth.ai
1•LelouBil•14m ago•0 comments

Notivo – Private Notes for Managers

https://www.notivo.com/
2•mmanja84•14m ago•0 comments

Bottles' Founder Has Managed to Run Microsoft 365 on Linux

https://itsfoss.com/news/bottles-microsoft-365-early-look/
3•fork-bomber•16m ago•1 comments

Litelm: LiteLLM Without the Bloat

https://github.com/kennethwolters/litelm
10•kennethwolters•18m ago•0 comments

Benchmarking coding agents perform on scraping

https://xulux.ai/blog/scraping-agents-benchmark
3•weebhek•19m ago•0 comments

Open-weights world models' parameter size doubles every ~6 months

https://twitter.com/kaarelkaarelson/status/2098472992821199358
4•kaarelson•19m ago•1 comments

Limiting AI news would hide what is happening to software

https://lord.technology/2026/09/11/ai-is-not-crowding-out-hacking.html
2•meetpateltech•20m ago•0 comments

Top mathematicians are outraged by OpenAI's methods

https://www.economist.com/science-and-technology/2026/09/11/top-mathematicians-are-outraged-by-op...
3•sbulaev•21m ago•0 comments

Why Your Product Transformation Will Fail

https://cutlefish.substack.com/p/tbm-291-why-your-product-transformation
2•AntonZ234•21m ago•0 comments

ChatGPT, find this person and follow them

https://twitter.com/andonlabs/status/2098103320208712049
2•tosh•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.