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Samsung's SSD warranty policy scammed me so I'm taking them to court [video]

https://www.youtube.com/watch?v=WpPIW4aeeag
1•richardboegli•23s ago•0 comments

Ask HN: How do you get into a flow state when using AI to code?

1•kilroy123•32s ago•0 comments

Claude Code's statusLineHook: read rate limits locally without any API calls

https://headroom.walls.sh/hook
1•patwalls•1m ago•0 comments

Scoped Blob Storage

https://blog.val.town/scoped-blob-storage
1•stevekrouse•1m ago•0 comments

Brain Floating-Point

https://en.wikipedia.org/wiki/Bfloat16_floating-point_format
1•tosh•2m ago•0 comments

ECB raises interest rates for first time since 2023

https://www.ft.com/content/95ec93a9-1153-4837-be82-32a87eaabe1d
1•JumpCrisscross•2m ago•0 comments

How HN: JediMock – Mock API responses in DevTools by wrapping fetch and XHR

https://jedimock.com
1•machopicchu•3m ago•0 comments

AltiVerse

https://github.com/LeoTheAIDev/Altiverse
4•leoTheCoderrr•3m ago•0 comments

Encrypted Spaces – Signal Alums' System for Making Private Collaboration Apps

https://www.wired.com/story/signal-alums-release-encrypted-spaces-a-new-system-for-building-priva...
2•jakemauer•4m ago•0 comments

Adix. Rock-paper-scissors on a 9x9 board, real-time 1v1

https://adix.games
1•hoxydav•5m ago•0 comments

Show HN: Kikubot – Each AI agent is an inbox

https://github.com/mxaiorg/kikubot
1•asp68•6m ago•0 comments

ServiceNow Mass Layoffs [Reddit Thread]

https://old.reddit.com/r/servicenow/comments/1u2c5dq/june_layoffs_its_a_blood_bath/
1•scapecast•6m ago•0 comments

Adaptive Screen Brightness from Content

https://rubarb.bar/
1•ericbigguy•6m ago•0 comments

Thomas Bayes

https://en.wikipedia.org/wiki/Thomas_Bayes
1•davedx•8m ago•0 comments

Opendoor fires all Indian employees, shuts India operations

https://economictimes.indiatimes.com/nri/latest-updates/opendoor-fires-all-indian-employees-shuts...
1•amalfra•8m ago•0 comments

Has the lakehouse battle shifted from table formats to catalogs?

https://www.onehouse.ai/blog/databricks-iceberg-support-has-a-catch-its-called-unity-catalog
1•sivabalan•8m ago•0 comments

Pokemon PWA

https://pokemon.gksander.com/
1•zi_•10m ago•1 comments

Resurrecting a Soaked, corroded, and damaged Commodore SX‑64 (2025)

https://jerrylparker.com/blogs/posts/sx-64.html
1•hggh•10m ago•0 comments

The Platypus Affiliated Society

https://platypus1917.org/
1•jruohonen•10m ago•0 comments

GM is betting on battery cells that don't use lithium

https://electrek.co/2026/06/10/gm-sodium-ion-battery-peak-energy/
2•Brajeshwar•10m ago•0 comments

When is detecting AI-generated text worthwhile?

https://statmodeling.stat.columbia.edu/2026/06/06/when-is-detecting-ai-generated-text-worthwhile/
1•sebg•11m ago•0 comments

Office 2019 for Apple to become useless from July

https://www.theregister.com/applications/2026/06/11/apple-version-of-office-2019-becomes-useless-...
3•rippeltippel•12m ago•1 comments

Kagi Privacy Redirects – Automatic Alternative Front Ends

https://github.com/elia-orsini/kagi-privacy-redirects
1•mysticaltech-•12m ago•0 comments

CLI that scores Terraform change risk and stores your team's infra fixes

https://fixdoc.dev
1•FixDoc•13m ago•0 comments

Show HN: Mimirs – persistent local memory for AI coding agents (MCP)

https://github.com/TheWinci/mimirs
2•winci•14m ago•0 comments

You can lead a horse to water but you can't force it to drink

https://williamdurand.fr/2025/12/24/you-can-lead-a-horse-to-water-but-you-cant-force-it-to-drink/
1•speckx•14m ago•0 comments

C.M. Kosemen – Dinosauroids [2008/2019]

http://www.cmkosemen.com/dinosauroids.html
2•bilegeek•16m ago•0 comments

Harness-Bench: Measuring Harness Effects Across Models

https://arxiv.org/abs/2605.27922
1•ZeljkoS•16m ago•0 comments

Show HN: In-browser real LLM token counter and cost estimation

https://holaclaw.ai/tools/token-studio
1•angelmm•19m ago•1 comments

Petition to Withdraw Canada's Bill C-22

https://www.ourcommons.ca/petitions/en/Petition/Sign/e-7416
2•hmokiguess•19m 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.