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A Step by Step Backpropagation Example

https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/
1•Bluestein•2m ago•0 comments

Claude Code Adds Concise Output Style Option

https://digg.com/tech/fktxxvtg
1•hmokiguess•2m ago•0 comments

Apexyx Mesh: offline agent mesh for Termux/Android with 421 hermetic self-tests

https://github.com/xhall-beep/ApexYX-Sovereign
1•xhallbeep•3m ago•0 comments

The spelled-out intro to NNs and backpropagation: building micrograd [video]

https://www.youtube.com/watch?v=VMj-3S1tku0
1•Bluestein•4m ago•0 comments

What Shape Is a Bubble?

https://negroniventurestudios.com/2026/07/27/what-shape-is-a-bubble/
1•oumua_don17•6m ago•0 comments

Hook, hold, harvest and hide: Meta's alleged strategy laid out in first week

https://www.theguardian.com/technology/2026/aug/22/meta-trial-children-privacy
2•sbulaev•10m ago•0 comments

Construction Physics: Los Angeles' ADUs, electrical transformer manufacturing

https://www.construction-physics.com/p/reading-list-082226
1•juliangamble•10m ago•0 comments

Show HN: Mread – Read Paid Medium Article For Free in Terminal

https://github.com/mukundzha/mread
3•mukundzha6•11m ago•0 comments

Software You Can Love

https://softwareyoucan.love/
1•Bluestein•13m ago•0 comments

Apple Papercuts Summer Edition

https://taoofmac.com/space/blog/2026/08/22/1147
1•rcarmo•17m ago•0 comments

Agent memory and state patterns for loops

https://swapniltalekar.substack.com/p/agent-memory-and-state-patterns-for
1•swapnilt•17m ago•0 comments

A coding agent on a 1987 Commodore Amiga 500 with a 7MHz CPU and 1 MB of RAM

https://twitter.com/DXhusni/status/2090839488058859726
3•sdoiewo•27m ago•2 comments

The AI boom: rational enthusiasm or the next dot-com bubble?

https://www.ecb.europa.eu/press/blog/date/2026/html/ecb.blog20260817~754a8a4418.en.html
1•doener•31m ago•0 comments

21-Year-Old Reveals Himself as Author of Widely Reported Fake Election Polls

https://www.mediaite.com/media/news/21-year-old-reveals-himself-as-author-of-widely-reported-fake...
1•greenchair•32m ago•0 comments

How Claude's Text Watermarking Works [video]

https://www.youtube.com/watch?v=tLv7qRWFMlw
1•Anon84•32m ago•0 comments

Mango AI: image/video generation with Nano Banana 2, GPT Image 2, Seedance 2

https://trymangoai.com
2•nexad_william•33m ago•0 comments

Compile-time improvements in LLVM 23

https://aengelke.net/llvm23-ct.html
2•fanf2•35m ago•0 comments

A formal degree and algorithmic problem-solving is the answer. Always has been

https://zaksa.zip/blog/formal-education-is-the-answer/
2•zaksa•38m ago•0 comments

Dashboard Touch, a build-your-own version of Touch ID

https://www.anildash.com/2026/08/20/introducing-dashboard-touch/
1•throw0101a•38m ago•0 comments

PRóspera, the libertarian utopia off the coast of Honduras

https://www.abc.net.au/news/2026-08-22/honduras-prospera-libertarian-utopia-caribbean-roatan/1070...
2•phs318u•40m ago•0 comments

Show HN: Git-reattribute – interactively rewrite Git commit attribution

https://github.com/drk1rd/git-reattribute
2•drk1rd•41m ago•2 comments

Show HN: 2 Weeks 1-on-1 Web Design Mentorship Program (Registration Open)

https://web-studio-mentorship.vercel.app
2•AbenezerDaniel•43m ago•0 comments

Meteoric – Drones that clear clouds over solar farms

https://meteoric.earth/
1•porridgeraisin•44m ago•0 comments

The Evolution of the Agent Harness

https://www.latent.space/p/attention-interface
1•glhaynes•45m ago•0 comments

The Internet is for More than Making Money [video]

https://www.youtube.com/watch?v=sGu1Gv8cLQo
1•sph•47m ago•0 comments

Dutch regulator fines Uber €825M for letting AI deactivate driver accounts

https://nltimes.nl/2026/08/21/dutch-regulator-fines-uber-eu825-mil-letting-algorithm-deactivate-d...
3•biglyburrito•49m ago•2 comments

Strange People but Very Smart

https://voiceinthemachine.com/2026/08/20/strange-people-but-very-smart/
2•Anon84•50m ago•0 comments

Show HN: SkillWorks – every Claude Code skill, scored on whether it loads

https://skillworks.kynth.studio
2•kyisaiah47•51m ago•0 comments

Show HN: Plainsay – 12 MB Mac dictation with local Whisper and Parakeet

https://github.com/conrader/plainsay
2•conrader•52m ago•0 comments

Software eats software development (2014)

https://cdixon.org/2014/04/13/software-eats-software-development/
1•cletusigwe•52m 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.