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Human Help to Survive AI

https://humanityark.cdtglobal.org/
1•igdiaz•3m ago•0 comments

Spec Vibing with Speccheck

https://github.com/rioffe/speccheck
1•robertioffe•6m ago•1 comments

The End of Apps and Websites

https://debuggerdotbreak.judahgabriel.com/2026/04/14/the-end-of-apps-and-websites/
2•mooreds•9m ago•0 comments

MentalHealthBench

https://openai.com/ru-RU/index/introducing-mentalhealthbench/
1•GloVin•10m ago•0 comments

Some data centers could consume more power than major cities

https://www.visualcapitalist.com/these-data-centers-could-consume-more-power-than-cities/
1•oliculipolicula•11m ago•0 comments

Global bond sell-off deepens, sending borrowing costs higher around the world

https://www.cnn.com/2026/09/24/investing/bond-market-global
2•mooreds•11m ago•0 comments

How to serve trillions of tokens for trillion-parameter coding agents

https://modal.com/blog/trillion-tokens-trillion-parameters
2•birdculture•12m ago•0 comments

YouTube Announces A/B Testing for Video Contents

https://www.reddit.com/r/youtube/comments/1wog7nq/youtube_announces_ab_testing_for_videos/
1•tech234a•14m ago•0 comments

Appointing AIs to manage bitter political divisions

https://spakhm.com/projects/assembly.html
1•duck•14m ago•0 comments

Nike's Phil Knight donates $1B to establish engineering school at U Oregon

https://www.nytimes.com/2026/09/23/us/billion-dollar-donation-university-oregon-phil-knight.html
2•osnium123•15m ago•1 comments

Stripe Link exposes merchants to undefendable fraud risk

1•hberg•17m ago•0 comments

Fagan – frontier models plan and review, open-weight models write code

https://github.com/motock/fagan
1•motock•18m ago•0 comments

Shipledger – verify that release notes match what shipped

https://github.com/kacxx/shipledger-demo
1•kacxx00•19m ago•0 comments

Show HN: Avoid smooth spinners, use low-FPS spinners

https://nh2.me/low-fps-spinners/low-fps-spinners.html
2•nh2•27m ago•0 comments

Sweetwater Sales Engineers are a team of music-gear experts dedicated to you

https://www.sweetwater.com/about/sales-engineers/
1•mooreds•27m ago•0 comments

The End of Programming by Hand

https://debuggerdotbreak.judahgabriel.com/2026/09/24/the-end-of-programming-by-hand/
2•judah•29m ago•0 comments

What About Rails?

https://jardo.dev/what-about-rails
3•jrochkind1•29m ago•0 comments

High Bandwidth Flash Is Coming [video]

https://www.youtube.com/watch?v=3nTpW52nioI
2•mfiguiere•31m ago•0 comments

"The Fun They Had" – Isaac Asimov (1951) [pdf]

https://web.archive.org/web/20240829163454/http://web1.nbed.nb.ca/sites/ASD-S/1820/J%20Johnston/I...
3•foobazzy•33m ago•1 comments

Chinese Threat Requires a Broader Spying Mission, CIA Deputy Director Says

https://www.nytimes.com/2026/09/08/us/politics/cia-deputy-director-china.html
1•harry_nutsachs•35m ago•0 comments

Claude Pop – I'm Upping My P(Doom)

https://github.com/JohnHeibel/PDoomVideo
1•science4sail•36m ago•1 comments

Evolving programming languages in the AI era

https://dashbit.co/blog/evolving-ai-era
1•pjm331•45m ago•0 comments

Show HN: A dedicated Mac that keeps Claude Code or Codex running 24/7

https://macrun.dev/agents
1•xoail•46m ago•1 comments

Lovable's annualized revenue crosses $600M as vibe coding takes off

https://techcrunch.com/2026/09/24/lovables-annualized-revenue-crosses-600m-as-vibe-coding-takes-off/
1•ent101•48m ago•0 comments

Finding bugs you didn't think to test for

https://www.firezone.dev/blog/finding-bugs-you-didnt-think-to-test-for
6•wh33zle•49m ago•1 comments

Jev and System One Models: Calibration Beats Accuracy

https://www.kartikpansuriya.com/blog/jev-system-one-model-calibrated-decisions
10•pansuriyakartik•55m ago•4 comments

Am I too boring to need an AI Agent

https://www.garbageday.email/p/am-i-too-boring-to-need-an-ai-agent
3•Nimitz14•56m ago•0 comments

OpenAI and Microsoft Admits LLMs Are Destroying the Web and Built on Theft

https://www.404media.co/doom-loop-openai-and-microsoft-admits-llms-are-destroying-the-web-and-bui...
4•xqcgrek2•1h ago•1 comments

Appliances Should Be Dumb

https://techrights.org/n/2026/09/24/Appliances_Should_be_Dumb.shtml
5•amcclure•1h ago•2 comments

Axolotl by Julio Cortazar

https://ambystoma.uky.edu/teachers_materials/axolitbook/AxolotlByJulioCortazar.html
2•thunderbong•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.