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Show HN: AI Hub – Open Access Lesson Plans for Teaching Students about AI

https://aihub.remakelearning.org/
1•gault8121•7m ago•0 comments

Show HN: The LAST DOOR – a tiny game about deciding when to leave

https://sydro.surge.sh/lastdoor/
1•sydro9•15m ago•0 comments

Borrowing Strength (Drug Dosing)

https://arenamag.com/articles/borrowing-strength
2•elo2000•16m ago•0 comments

Show HN: PDF to ePub Conversion Tool for Mac

https://github.com/bnlcas/pdf2epub
2•blululu•18m ago•0 comments

Apples to Apples: Getting Type Mappings Right in LLM-Based Code Translation

https://www.codemetal.ai/research/apples-to-apples-getting-type-mappings-right-in-llm-based-code-...
2•matt_d•18m ago•0 comments

Learning What to Investigate Next: Meta-Reasoning for Long-Horizon Agents

https://arxiv.org/abs/2610.02525
3•matt_d•22m ago•0 comments

KBEmacs, MIT's Programmer's Apprentice, Reanimated

https://github.com/jeffshrager/kbemacs
2•abrax3141•23m ago•0 comments

Ask HN: Where has creativity in software gone?

4•piratesAndSons•24m ago•2 comments

Show HN: Built a Rome City Builder

https://tiberava.pages.dev/
7•granga•24m ago•0 comments

DOJ arrests 2, seizes 187 devices in North Korean laptop farm crackdown in Texas

https://www.reuters.com/legal/government/doj-arrests-two-seizes-187-devices-north-korean-laptop-f...
2•usernomdeguerre•28m ago•0 comments

I built a tool to track what AI leaders say and how their views change on video

https://blumify.io/people
4•gcsydney•29m ago•0 comments

High-speed video reveals how honey bee stingers pump venom

https://arstechnica.com/science/2026/10/honey-bee-stingers-are-double-piston-venom-pumps/
4•gumby•33m ago•0 comments

Character.ai files for Chapter 11 bankruptcy. Disney makes a bid

https://www.cnbc.com/2026/10/13/character-ai-chapter-11-disney-bid.html
1•Gaishan•33m ago•1 comments

The Feeling of Power

https://hex.ooo/library/power.html
2•layer8•33m ago•0 comments

1 in 8B: A Life Simulation Game

https://1in8b.life/en/
4•nogajun•34m ago•0 comments

Fine-tuning decision models – Server Logs and IoT Fleets

https://hive.technology/lab-notes/fine-tune-decision-models/
2•tylermhall•35m ago•0 comments

Show HN: Using the long book of the law to improve PA health insurance appeals

https://gemini.google.com/share/ac24e893cfcf
2•Steaglsz•36m ago•0 comments

Do Frameworks Matter Anymore?

https://brookslybrand.com/posts/do-frameworks-matter-anymore/
4•fagnerbrack•37m ago•0 comments

Who Decided AI Gets to Have Feelings?

https://middlelayer.substack.com/p/who-decided-ai-gets-to-have-feelings
3•logan1085•40m ago•1 comments

A recent doubling of global warming rate signals a 1.5°C breach by 2028

https://www.nature.com/articles/s41612-026-01561-y
4•littlexsparkee•40m ago•0 comments

Topgolf saved over $11.3M after leaving VMware

https://arstechnica.com/information-technology/2026/10/topgolf-saved-over-11-3-million-after-leav...
9•canucker2016•44m ago•0 comments

Creating a Garmin "MCP"

https://jackantico.io/garmin-mcp
6•ricotico060•46m ago•0 comments

The Machines That Make the Machines

https://developer.nvidia.com/blog/the-machines-that-make-the-machines/
3•gmays•48m ago•0 comments

U.S. Treasury Announces Record Enforcement Actions Against Bank of America

https://home.treasury.gov/news/press-releases/sb0657
11•hippich•52m ago•4 comments

HN: Encrypted Privacy Aware Emails, ZyMail Hit the Globe

3•ZachQ•54m ago•0 comments

Ask HN: Could you find funding if you didn't want to build a $1-10B business?

5•FrenchDevRemote•56m ago•0 comments

AI, Hyperwar and End Times Fascism

https://efturnip.substack.com/p/ai-hyperwar-and-end-times-fascism
5•dopple•57m ago•0 comments

Show HN: Fresh cleanup and reset a project after coding agent prs

https://github.com/Obedience-Corp/fresh
2•lancekrogers•58m ago•0 comments

Cargo-Litmus

https://github.com/Ellipsis-Labs/cargo-litmus
1•gametorch•1h ago•0 comments

The Law of Leaky Abstractions

https://www.joelonsoftware.com/2002/11/11/the-law-of-leaky-abstractions/
2•jr-14•1h 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.