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APX Forth: A Surprise

https://www.goto10retro.com/p/apx-forth-a-surprise
1•ibobev•1m ago•0 comments

Teen hike Claude Canada wilderness - emergency rescue

https://www.theguardian.com/world/2026/oct/08/teen-hike-claude-ai-directions-rescue-canada-mountain
1•mo7061•2m ago•0 comments

Sound and complete flow typing with unions, intersections and negations [pdf]

https://whileydave.com/publications/Pea13_VMCAI_preprint.pdf
1•fanf2•2m ago•0 comments

When No ID Means No Internet: Age Verification and Right to Access Information

https://www.eff.org/deeplinks/2026/10/when-no-id-means-no-internet-age-verification-and-right-acc...
1•mdp2021•4m ago•0 comments

Show HN: SpectroMood, speech emotion detection with a decision model

https://github.com/ketul93/spectromood
1•ketul_shah•4m ago•0 comments

RTSP to Virtual web cam in Rust

https://github.com/carl-eis/rtsp-rust-virtualcam
1•DistantCl3ric•5m ago•0 comments

EU faces gas supply shortage as winter looms

https://www.politico.eu/article/eu-faces-gas-supply-shortage-iran-war-winter-looms/
1•leonidasrup•7m ago•0 comments

Kubernetes for AI agents: when code is cheap, proof matters

https://kubedex.com/kubernetes-ai-agentic-development/
1•stevenacreman•10m ago•0 comments

Turn any app/website into an API

https://github.com/goodnight000/api-anything
1•goodnight000•12m ago•1 comments

AI has made it easier than ever to make apps nobody asked for

https://boakandbailey.com/2026/09/ai-has-made-it-easier-than-ever-to-make-apps-nobody-asked-for/
3•padraic7a•13m ago•1 comments

You are better than me

https://antejavor.github.io/blog/2026/you-are-better-then-me/
3•taubek•13m ago•0 comments

How to Automatically Redact Leaked API Keys and .env Files at the Edge

https://medium.com/@divinelab/how-to-automatically-redact-leaked-api-keys-and-env-files-at-the-ed...
1•divinelab•16m ago•0 comments

New AMOS PRO 3D Basic online

https://twitter.com/BlackCreepy_Cat/status/2108115762757984416
2•seyhajin•20m ago•0 comments

Welcome to Gemini at Work 2026: Introducing the Gemini Agent

https://cloud.google.com/blog/products/ai-machine-learning/welcome-to-gemini-at-work-2026
2•oscarfr•22m ago•0 comments

The Two UX Gulfs: Evaluation and Execution – NN/G

https://www.nngroup.com/articles/two-ux-gulfs-evaluation-execution/
4•ankitg12•23m ago•1 comments

Prux is a minimal terminal coding agent

https://github.com/heng30/prux
1•heng30•23m ago•0 comments

Run Windows games (up to D3D9) in the browser

https://bottleship.pages.dev/
6•vasyop•24m ago•0 comments

Writing blog posts while walking the dog

https://jacobtomlinson.dev/posts/2026/writing-blog-posts-while-walking-the-dog/
2•tfader•25m ago•0 comments

What the interns have wrought, 2026 edition

https://blog.janestreet.com/wrought-2026/
2•s-zeng•25m ago•0 comments

Snyk is reporting false CVE

https://github.com/github/advisory-database/pull/10132
3•leyakak•28m ago•0 comments

Nuclear Weapon Storage Bunker

https://www.google.com/maps?q=Nuclear+weapon+storage+bunker,+kaliningrad&t=k
3•nomilk•29m ago•0 comments

How big is a Git commit?

https://ratfactor.com/cards/git-commit-size
2•theanonymousone•31m ago•0 comments

Bengio: 'If you prioritize safety, leave frontier AI companies'

https://www.transformernews.ai/p/yoshua-bengio-if-you-prioritize-safety-leave-frontier-ai-companies
2•theanonymousone•31m ago•0 comments

Where does your company draw the line on sensitive data in AI tools?

https://privatesuperintelligence.si/
3•pj_mitosislabs•37m ago•0 comments

Provable Subexponential Algorithms for NIST Third-Round Lattice Families

https://arxiv.org/abs/2610.11254
2•sbulaev•37m ago•0 comments

Wikipedia says rogue OpenAI agents edited private wikis and hammered servers

https://www.techspot.com/news/114131-wikimedia-foundation-openai-rogue-ai-agents-caught-making.html
3•nonfamous•45m ago•0 comments

We traced the install scripts of NPM's 5k most-downloaded packages

https://www.kenwea.com/guides/npm-top-5000-install-steps-traced
1•Myzura•49m ago•1 comments

Arena nearly doubles valuation to $3.1B valuation in 10 months

https://techcrunch.com/2026/10/08/popular-ai-leaderboard-arena-nearly-doubles-valuation-to-3-1b-v...
2•doppp•50m ago•2 comments

Big Blob of Compute

https://substack-post-media.s3.us-east-1.amazonaws.com/post-files/218885795/7087c3ff-0f96-4e38-9e...
2•MrOrelliOReilly•51m ago•0 comments

Where Is the AI?

https://johnomeara.com/blog/where-is-the-ai
5•John7878781•54m 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.