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Code Review is now generally available

https://claude.com/resources/articles/code-review-is-now-generally-available
1•cebert•20s ago•0 comments

SHAP-CUDA is now available

https://gcos.ai/blog/shap-cuda-is-now-available/
1•nickbecker•1m ago•0 comments

The first vibe-coded gun is here

https://www.theverge.com/tech/1011950/vibe-coded-3d-printed-gun-ai-generated-cody-wilson
2•mikelgan•1m ago•0 comments

China Moves to Restrict Exports of Some Solar Technologies

https://www.bloomberg.com/news/articles/2026-10-16/china-moves-to-restrict-exports-of-some-solar-...
1•boelboel•2m ago•0 comments

Western open-weight models still can't beat China

https://restofworld.org/2026/china-open-weight-models/
1•herbertl•2m ago•0 comments

Beam 1.0

https://huggingface.co/reflection/Beam-1.0-501B-A23B-NVFP4
2•earino•3m ago•0 comments

Who moves up and why? The 2026-2027 World Bank country income classifications

https://blogs.worldbank.org/en/opendata/who-moves-up-and-why--a-closer-look-at-the-new-world-bank...
1•surprisetalk•4m ago•0 comments

What the Loss of Starshield Revealed

https://www.theatlantic.com/international/2026/10/starshield-ukraine-military-technology-vulnerab...
1•SanjayMehta•4m ago•1 comments

How Codex Happened

https://every.to/p/how-codex-happened
2•gmays•7m ago•0 comments

ChatGPT Dot Review: Your Chief of Staff Is Still an Intern

https://metedata.substack.com/p/chatgpt-dot-review-your-chief-of
1•young_mete•7m ago•0 comments

(not)solitaire: Massively passively multiplayer solitaire

https://notsolitaire.com/
1•CharlesW•9m ago•0 comments

Upcoming deprecation of selected GitHub Copilot models in mid-November

https://github.blog/changelog/2026-10-15-upcoming-deprecation-of-selected-github-copilot-models-i...
2•vismit2000•12m ago•0 comments

Overalls: An AI-first developer platform that you own

https://overalls.dev/
2•simonpure•12m ago•0 comments

Booking Holdings unveils AI travel startup Vayo

https://www.geekwire.com/2026/booking-holdings-unveils-ai-travel-startup-vayo-based-in-seattle-wi...
2•boa00•16m ago•0 comments

A week on the farm with Dylan Araps

https://adamschaefers.com/blog/2026-10-13-a-week-on-the-farm/
3•djnaraps•17m ago•2 comments

How to Formalize All of Mathematics

https://terrytao.wordpress.com/2026/10/16/how-to-formalize-all-of-mathematics/
1•smilelamp•18m ago•0 comments

Show HN: MacVisor Runs VMs with VLANs and Firewall on Apple Silicon

https://scaleninja.com/macvisor/
3•onzr•18m ago•0 comments

The Most Influential Podcaster in Silicon Valley. We're Getting AI Wrong

https://www.nytimes.com/2026/10/15/opinion/interesting-times-dwarkes-patel-tyler-cowen.html
1•paulpauper•18m ago•0 comments

Persona: Ingmar Bergman's stone-cold classic

https://engelsbergideas.com/notebook/persona-ingmar-bergmans-stone-cold-classic/
1•paulpauper•18m ago•0 comments

The most dangerous jobs in movies [video]

https://stephenfollows.com/p/the-most-dangerous-jobs-in-movies
1•colinprince•18m ago•0 comments

The Secretive AWS Networking Lab

https://www.servethehome.com/inside-the-secretive-aws-networking-lab/
1•gmays•19m ago•0 comments

India has more Restrictive Labor Law than Germany

https://marginalrevolution.com/marginalrevolution/2026/10/india-has-more-restrictive-labor-law-th...
2•paulpauper•19m ago•0 comments

Warning signs are flashing on the AI trade

https://www.axios.com/2026/10/16/ai-coreweave-bonds-debt
1•samizdis•19m ago•0 comments

Hello Toronto – Waymo Is En Route

https://waymo.com/blog/2026/10/waymo-in-toronto/
28•ChrisArchitect•20m ago•27 comments

Big Fish: Exploiting a 37-Year-Old Kernel Bug in OpenBSD

https://calif.io/research/big-fish
13•rs_rs_rs_rs_rs•20m ago•0 comments

I Got My Muse AI Agent to Sext Me–and Meta Says That's Fine

https://www.wired.com/story/i-got-my-muse-ai-agent-to-sext-me-and-meta-says-thats-totally-fine/
2•CharlesW•20m ago•0 comments

Black-box HashDoS: attacking hash tables without knowing the hash function

https://orlp.net/blog/black-box-hashdos/
4•fanf2•22m ago•0 comments

Grimoire for Biology

https://grimoire.bio
2•levmiseri•23m ago•0 comments

I have open sourced the EU job search process

https://agisse.xyz/
2•lennart-steen•25m ago•0 comments

OrcaSlicer v2.5.0 Alpha

https://github.com/OrcaSlicer/OrcaSlicer/releases/tag/v2.5.0-alpha
2•Klaster_1•26m 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.