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Why open source always wins

https://pgdog.dev/blog/why-open-source-always-wins
1•levkk•57s ago•0 comments

Show HN: I made a game about awkward conversations using Jev

https://playuhoh.com/
1•kaibuidsai•1m ago•0 comments

New

https://pirateface.co/claim
1•IHMforever•2m ago•0 comments

Microsoft's new AI 'code of conduct' tells models not to hack systems

https://techcrunch.com/2026/09/14/microsofts-new-ai-code-of-conduct-tells-models-not-to-hack-syst...
1•marcofloriano•2m ago•1 comments

Just uploaded **Chameleon v0.1.1 Beta

https://mrjaki.github.io/chameleon-website/
1•MrJaki•3m ago•0 comments

M5 Ultra Mac Studio Review: The Dream Mac for Local AI Agents

https://www.macstories.net/stories/m5-ultra-mac-studio-review-the-dream-mac-for-local-ai-agents/
2•piotrgrabowski•6m ago•0 comments

An Undercover Google Analyst Infiltrated a Notorious Supply-Chain Hacking Gang

https://www.wired.com/story/an-undercover-google-analyst-infiltrated-a-notorious-supply-chain-hac...
1•hi41•7m ago•0 comments

Canonical announces Zephyr 26.04 LTS

https://canonical.com/blog/zephyr-lts-announcement
5•mirkocovizzi•8m ago•1 comments

Show HN: Run Jev-style models locally on Mac with 0.74 GB RAM

https://github.com/afshinm/laya-mps
2•afshinmeh•10m ago•0 comments

OpenAI President Greg Brockman on Doing Business in the Wake of Hugging Face [video]

https://www.youtube.com/watch?v=56GuvofZgB4
1•mooreds•10m ago•0 comments

ROG Xbox Ally X20 / Tokyo Games Show 2026: Improving, but No SteamOS Planned

https://boilingsteam.com/rog-xbox-ally-x20-at-the-tokyo-games-show-2026-improving-further/
1•ekianjo•10m ago•0 comments

Shopify CEO says employees' 'slop grenades' are making more work for everyone

https://www.businessinsider.com/shopify-ceo-ai-slop-grenades-can-make-work-harder-2026-9
5•mococa•12m ago•0 comments

EU KIDS Act Won't Keep the Internet Accountable and Trustworthy

https://www.eff.org/deeplinks/2026/09/eu-kids-act-wont-keep-internet-accountable-and-trustworthy
2•mdp2021•15m ago•0 comments

Step 5 Preview: StepFun's frontier model with 1M context and video input

https://platform.stepfun.ai/docs/en/guides/models/step-5-preview
1•AnneWodell•16m ago•0 comments

Tap to Pay – 72x More Complicated Than a Simple Tap [video]

https://www.youtube.com/watch?v=N_6k_jd5pnA
1•marklit•16m ago•0 comments

OpenPrinter [video]

https://www.youtube.com/watch?v=wSV5XT4sl2A
1•mrkn1•16m ago•0 comments

UsageBar – Claude Code and Codex rate limits in the macOS menu bar

https://github.com/idark7/UsageBar
1•ersudiptabanerj•18m ago•0 comments

George Lucas Returns to Earth, Bearing Gifts

https://commonedge.org/george-lucas-returns-to-earth-bearing-gifts/
1•surprisetalk•19m ago•0 comments

PR Loops and Workflows

https://www.talyn.dev
1•tomowers•21m ago•0 comments

Python Workers are now generally available

https://blog.cloudflare.com/python-workers-ga/
1•torutofu•21m ago•0 comments

Show HN: My-app.engineer – Deploy your vibe-coded SaaS in minutes

https://my-app.engineer/
1•myappengineer•26m ago•0 comments

Google fined €403M by Irish data watchdog over location data

https://www.rte.ie/news/business/2026/0921/1592330-google-fined-403m-by-dpc/
3•austinallegro•26m ago•0 comments

Mac Studio M5 Max review: The best reason to run AI locally

https://tbreak.com/mac-studio-m5-max-review-local-ai/
2•throwfaraway4•26m ago•1 comments

Super El Niño bursts through temperature record months ahead of peak

https://www.theguardian.com/environment/2026/sep/21/super-el-nino-temperature-record
4•helsinkiandrew•27m ago•0 comments

When Claude CLI asks for feedback, responding authorizes conversation capture

1•mmaunder•28m ago•0 comments

It's Raining Boxes: Amazon Drones Overwhelm a Texas Suburb

https://www.nytimes.com/2026/09/21/us/politics/amazon-drone-delivery-texas.html
1•ilamont•28m ago•0 comments

Jev, Prolog, Pi, and the dream of probabilistic logic programming

https://deepclause.substack.com/p/jev-prolog-pi-and-the-dream-of-probabilistic
2•arto•29m ago•0 comments

JevEmon: Typed Decisions over GBA RAM to Walk Pokémon FireRed

https://github.com/daniel4x/JevEmon
1•alfasiii•29m ago•0 comments

I made an LLM using 521 Jev models

https://jevs.chat/
1•skillseeddev•30m ago•1 comments

We Write Code by Hand

https://handcraftedcode.org/
2•batmang•31m 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.