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Traveling Salesperson Problem – Google OR-Tools

https://developers.google.com/optimization/routing/tsp
1•vismit2000•2m ago•0 comments

Primegame

https://en.wikipedia.org/wiki/FRACTRAN
1•pvdebbe•2m ago•0 comments

Today's forecast: AI behaving unpredictably

https://aistormdesk.com/
1•1potato•3m ago•0 comments

Tanker crashes into Mississippi cruise ship (Friday 13th) [video]

https://www.youtube.com/watch?v=EE6lEgeN1_U
1•irthomasthomas•5m ago•0 comments

Get Started with Gemini 4: Explicit Context Caching Not Supported

https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/start/get-started-with-gemi...
1•waximabbax•8m ago•0 comments

DeepSeek v4.1 Flash matched Opus5.5 and Grok4.7 on a diplomatic negotiation eval

https://www.reddit.com/r/DeepSeek/comments/1xw2gyw/comment/19smo7oond4qq/
1•valkrieco•9m ago•0 comments

Amazon Forced into First North American Union Pact in Canada

https://www.bloomberg.com/news/articles/2026-11-13/amazon-s-first-north-american-union-contract-i...
1•toomuchtodo•14m ago•1 comments

FAA Telecommunications Infrastructure (FTI)

https://www.l3harris.com/all-capabilities/faa-telecommunications-infrastructure-fti
1•Betelbuddy•16m ago•1 comments

The Android lockdown seems under-theorized

https://dynomight.net/android/
1•dverlaeckt80•16m ago•0 comments

Adopting Python 3.15's lazy imports: a 4× faster CLI, and where they didn't help

https://namegarage.com/blog/python-3-15-lazy-imports
1•rbanffy•16m ago•0 comments

Formalizing US Tax Code (Using Lean)

https://lexifina.com/blog/formalizing-the-us-tax-code
3•dnw•17m ago•0 comments

Free SVG Maps – Countries, U.S. States and Counties – MapSVG

https://mapsvg.com/maps/
1•eustoria•17m ago•0 comments

PyPI's redesigned project pages with clearer security signals are now live

https://blog.pypi.org/posts/2026-11-06-ui-updates-complete/
2•rbanffy•17m ago•0 comments

Asyncio Internals

https://origintracer.app/excerpt/asyncio-internals/
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Traits – Teach your agent to code like you

https://traits.sh/
1•eustoria•19m ago•0 comments

Mouse Party

https://aboard.com/lets-have-a-mouse-party/
1•bookofjoe•19m ago•0 comments

Pondnote – Notes by Hand, and by Keyboard

https://pondnote.ink/
1•eustoria•20m ago•0 comments

FBI Probing FAA Software Update

https://www.bloomberg.com/news/articles/2026-11-13/fbi-said-to-probe-whether-software-update-caus...
1•Betelbuddy•20m ago•1 comments

Ontology Development 101 (2014)

https://protegewiki.stanford.edu/wiki/Ontology101
1•turtleyacht•28m ago•0 comments

Building in 3D with OSS

https://codingcat.dev/post/14-open-source-repos-code-driven-video-how-we-built-3d-aj
1•codercatdev•31m ago•1 comments

Kildall's Algorithm

https://bike.github.io/posts/kildall.html
1•dverlaeckt80•34m ago•0 comments

OnlyFans livestreaming must be banned say MPs in 'e-pimps' warning

https://www.mirror.co.uk/news/politics/only-fans-web-camming-crackdown-37850365
3•Jigsy•35m ago•2 comments

Test and verification technique effectiveness with Astra

https://danluu.com/astra-testing/
1•dverlaeckt80•35m ago•0 comments

Show HN: TriusLD – A Small Tokenizer for LLMs with Robust Multilingual Support

https://trius.canton.graphics/blog/000003.html
1•kasumispencer2•35m ago•0 comments

Smallest possible nopert polyhedra: the Septopert

https://github.com/tom7/noperts/blob/main/septopert.md
1•RebelPotato•36m ago•0 comments

Jensen Huang's exit from Nvidia impacts China's AI supply chain

https://restofworld.org/2026/jensen-huang-nvidia-exit-china-ai-chip-impact/
2•mfiguiere•36m ago•0 comments

Spend Management: Spending limits and alerts for Cloudflare

https://blog.cloudflare.com/spend-management/
1•JackOneSG•36m ago•0 comments

When do YC interviews come out?

1•Profazia•38m ago•0 comments

What's better about Ruby than Python? (2003)

https://groups.google.com/g/comp.lang.python/c/xBWUWWWV5RE/m/gyJRB9cihAIJ
1•tosh•39m ago•0 comments

The Secret Life of Components – Tim Hunkin

https://www.timhunkin.com/a241_component-videos.htm
1•num42•40m 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.