frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

We placed the fruit fly brain inside Odyssey-3, a frontier world model

https://twitter.com/odysseyml/status/2111589148146749616
1•pr337h4m•1m ago•0 comments

Show HN: Videolabs – narrated terminal-style courses

https://videolabs.pages.dev/
1•peascouih•4m ago•0 comments

To Make, or to Buy: The Economics of Decision Models

https://pncnmnp.github.io/blogs/economics-decision-models.html
1•pncnmnp•8m ago•0 comments

Show HN: I recreated Contra in a custom NES game engine (NOT an emulator)

1•normalocity•14m ago•0 comments

The Internet's undersea backbone is slipping into the danger zone

https://arstechnica.com/gadgets/2026/10/the-internets-undersea-backbone-is-slipping-into-to-the-d...
2•ksec•14m ago•0 comments

Can the Tesla Roadster Fly?

https://github.com/jonclegg/roadster-physics-check
2•thefourthchime•15m ago•1 comments

Decision Models-as-a-Judge

https://adlrocha.substack.com/p/adlrocha-decision-models-as-a-judge
1•keks0r•17m ago•0 comments

Show HN: A simulated workday where the PM hides a requirement from you

https://ankhet.app/
1•SpaceCypher•18m ago•0 comments

Magnetar: High-speed post-quantum RV64 zkVM from standard hashes

https://eprint.iacr.org/2026/2423
1•torsi0n•19m ago•0 comments

Earthship

https://en.wikipedia.org/wiki/Earthship
2•tosh•19m ago•0 comments

British Airways: Filming Crew W Meta Glasses Could Get Your Tickets Cancelled

https://liveandletsfly.com/british-airways-meta-smart-glasses-filming/
34•bookofjoe•22m ago•20 comments

Data Centers Are Turning Trump Voters into Democrats

https://www.economist.com/graphic-detail/2026/10/12/data-centres-are-turning-trump-voters-into-de...
7•karakoram•23m ago•2 comments

EPA backtracks on claims US has phased out toxic PFAS compounds

https://www.theguardian.com/environment/2026/oct/18/epa-pfas-compounds-toxins
2•howard941•27m ago•0 comments

Show HN: IP Lookup API

https://companyofcraft.com/ip-lookup
1•vaibhavacharya•27m ago•0 comments

What the heck is /pkg?

https://anderegg.ca/2026/10/18/what-the-heck-is-pkg
1•GavinAnderegg•28m ago•0 comments

Six wild ideas for perpetuating your mind

https://www.technologyreview.com/2026/10/15/1145819/six-wild-ideas-perpetuating-your-mind-cogniti...
1•joozio•28m ago•0 comments

Mitos editor is a fork of Helix

https://mitos.computer/
2•ambigious7777•30m ago•2 comments

The Last Skeuomorph in iOS?

https://www.jarrettfuller.blog/2026/09/camera-shutter-skeuomorph/
1•karakoram•30m ago•2 comments

AI Is the Uber Moment for Mathematics

https://greyenlightenment.com/2026/09/27/ai-is-the-uber-moment-for-mathematics/
1•paulpauper•30m ago•0 comments

Men Can't Stop Faking How Much They Know About AI

https://www.wired.com/story/men-cant-stop-faking-how-much-they-know-about-ai/
2•ceejayoz•34m ago•0 comments

Creating and Rendering a Bitmap Font

https://www.alexghr.me/blog/custom-bitmap-font/
1•alexghr•35m ago•0 comments

Whac-a-Mole: The Arcade Classic in Motion

https://www.nexplayground.com/games/whac-a-mole-on-nex-playground
1•eustoria•37m ago•0 comments

Envoy Admin – a real-time terminal UI for the Envoy admin API

https://github.com/regeda/envoyadmin
1•regeda•37m ago•0 comments

Artifacts Driven Development

https://kosuke.ai/blog/manifesto
1•filopedraz•38m ago•0 comments

Bullshit Jobs: David Graeber's Anthropology of Meaningless Work

https://www.polscience.co.in/2026/09/bullshit-jobs-david-graebers.html
1•eustoria•38m ago•1 comments

Show HN: CLI for your financial data (and Costco and Amazon)

https://kilianc.github.io/fin/
2•kilianciuffolo•38m ago•0 comments

AI won't kill jobs. Bad team design will

https://www.cio.com/article/4236023/ai-wont-kill-jobs-bad-team-design-will.html
1•eustoria•39m ago•0 comments

A California town's beaches are washing away. Can its residents turn the tide?

https://www.theguardian.com/us-news/2026/oct/18/california-beach-erosion-san-clemente
1•howard941•39m ago•0 comments

Show HN: Turbo Flow v5.2

https://www.turboflow.online/
1•marcuspat•40m ago•0 comments

Polish decision model basal-Omni ranks #1 open-weight on JevBench

https://basal.si5.pl/en/
3•zaiste•42m 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.