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Peter Thiel knows about the Antihchrist

1•zerosizedweasle•34s ago•0 comments

Charting market dynamics in India's underground ticket resale WhatsApp groups

https://aftereod.substack.com/p/stress-fractures-indias-concert-boom
1•huwsername•2m ago•0 comments

Claimcheck: Narrowing the Gap Between Proof and Intent

https://midspiral.com/blog/claimcheck-narrowing-the-gap-between-proof-and-intent/
1•todsacerdoti•4m ago•0 comments

Show HN: Instrumental Model from Scratch (With Demo)

https://instr.io/?view=model
1•day6•5m ago•0 comments

Tell HN: Ramadan Mubarak

1•Sayyidalijufri•8m ago•0 comments

Personal Agents with David Singleton and Hugo Barra [video]

https://www.youtube.com/watch?v=1tK_x_vxGWs
1•jairojair•9m ago•0 comments

Microsoft tests Researcher and Analyst agents in Copilot

https://www.testingcatalog.com/microsoft-tests-researcher-and-analyst-agents-in-copilot-tasks/
1•gmays•10m ago•0 comments

Show HN: Agent Audit Kit v0.1 – deterministic replay + stress for LLM agents

https://github.com/helpfuldolphin/AgentAuditKit/releases/tag/aak-v0.1.0-e3
1•helpfuldolphin•12m ago•0 comments

Honey bees navigate more precisely than previously thought

https://uni-freiburg.de/en/honey-bees-navigate-more-precisely-than-previously-thought/
3•geox•18m ago•0 comments

FBI, St. Paul police probing ICE arrest that resulted in skull fractures

https://apnews.com/article/immigration-enforcement-minneapolis-hospital-ice-beating-assault-eb305...
4•petethomas•19m ago•0 comments

Lessons learned from `oapi-codegen`'s time in the GitHub Secure Open Source Fund

https://www.jvt.me/posts/2026/02/17/oapi-codegen-github-secure/
1•zdw•24m ago•0 comments

"Observability Engineering": a book so nice, we wrote it twice

https://substack.com/home/post/p-186798752
3•donutshop•26m ago•0 comments

Claude Is Okay

2•zerosizedweasle•28m ago•0 comments

Which Future?

https://michaelnotebook.com/whichfuture/
1•yurivish•30m ago•0 comments

Tell HN: Attackers using Google parental controls to prevent account recovery

5•TazeTSchnitzel•30m ago•0 comments

A No-Name Director to Everyone but His 38M Fans

https://www.theatlantic.com/culture/2026/02/iron-lung-markiplier-youtuber-movie-review/686020/
2•zdw•31m ago•0 comments

Out of the blue: A look back at Air Force One's classic design (2018)

https://www.raymondloewy.com/out-of-the-blue-a-look-back-at-air-force-ones-classic-design/
1•hank808•32m ago•1 comments

Show HN: DevDay – End-of-day recap for AI coding sessions

https://github.com/ujjwaljainnn/devday
1•ujjwaljainnn•32m ago•0 comments

Show HN: AIBenchy – Independent AI Leaderboard

https://aibenchy.com
1•XCSme•34m ago•1 comments

Taste for Makers

https://paulgraham.com/taste.html
3•avonmach•36m ago•1 comments

Thin Is In

https://stratechery.com/2026/thin-is-in/
1•maguay•37m ago•0 comments

Other money making uses for the DGX Spark?

1•JerichoJones•39m ago•0 comments

A Guide to Which AI to Use in the Agentic Era

https://www.oneusefulthing.org/p/a-guide-to-which-ai-to-use-in-the
2•Hyeonjong•39m ago•0 comments

Hive – LangGraph for Swift, but built on BSP supersteps

https://github.com/christopherkarani/Hive
1•ckarani•40m ago•1 comments

Show HN: Start an Apple Container in Seconds

https://github.com/beachdevs/container
1•dpweb•41m ago•0 comments

Browser-based Whisper transcription using WebGPU and adaptive model selection

https://cowslator.space/
1•brunochavesj•42m ago•1 comments

Tidal Heating of Io

https://en.wikipedia.org/wiki/Tidal_heating_of_Io
3•thunderbong•43m ago•0 comments

Show HN: Conduit: One Swift interface for every AI provider, on-device and cloud

https://github.com/christopherkarani/Conduit
1•ckarani•45m ago•0 comments

Visualizing how cancer drugs reshape proteins linked to lung cancer

https://phys.org/news/2026-01-visualizing-cancer-drugs-reshape-proteins.html
3•PaulHoule•46m ago•0 comments

Show HN: How I built Timeframe, our family e-paper dashboard

https://hawksley.org/2026/02/17/timeframe.html
2•hawksley•46m ago•0 comments
Open in hackernews

Ask HN: LLM is useless without explicit prompt

4•revskill•9mo 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•9mo 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•9mo 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•9mo 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.