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AI decompiling and combining Games: The Skate 3 in MW2 Mod is Unbelievable [video]

https://www.youtube.com/watch?v=I6BkcPdKQ8U
1•reimertz•22s ago•0 comments

Forget 'superintelligence': error-prone AI nearly sparked world war three

https://www.theguardian.com/commentisfree/2026/oct/01/forget-superintelligence-error-prone-ai-nea...
1•pseudolus•59s ago•0 comments

Praxis-1

https://runway.com/research/introducing-praxis-1
1•gmays•2m ago•0 comments

Bevy - a refreshingly simple data-driven game engine built in Rust

https://bevy.org/
1•reimertz•4m ago•0 comments

Our AI Midwife

https://www.astralcodexten.com/p/our-ai-midwife
1•semiquaver•6m ago•0 comments

Show HN: Sovereign-NB: Sub-microsecond bare-metal neural engine in Rust (UEFI)

https://github.com/msndsn123a/Sovereign-NB
1•msndsn123a•10m ago•0 comments

KernelBench: Can LLMs Write GPU Kernels? – Benchmark and Toolkit, Torch –> CUDA

https://github.com/ScalingIntelligence/KernelBench
1•peter_d_sherman•13m ago•0 comments

Martian Chaos Terrain

https://en.wikipedia.org/wiki/Martian_chaos_terrain
2•tiagod•15m ago•0 comments

Show HN: I made a bullet heaven game no one seems showing intresting

https://store.steampowered.com/app/5170580/Blend_Hunter_Smoothie_Bullet_Heaven/
1•sacravenger•15m ago•0 comments

Rate limits for private vulnerability reports

https://github.blog/changelog/2026-10-01-rate-limits-for-private-vulnerability-reports/
1•tech234a•18m ago•1 comments

Show HN: Agent team runtime with concrete lifecycle management

https://github.com/ringlochid/oh-my-subagents
1•ringlochid•18m ago•0 comments

Agentic coding's effect on Hacker News hiring threads

https://bsky.app/profile/largbae.bsky.social/post/3mwtqukfbcs23
1•largbae•21m ago•1 comments

HarnessTax: How Much Does the Harness Matter for Coding Agents?

https://arena.ai/blog/coding-agents-harness-tax
1•luispa•22m ago•0 comments

Show HN: QLCodePreview, syntax highlighting in Finder's Quick Look

https://konstruukt.com/projects/qlcodepreview/
1•realityloop•23m ago•1 comments

AI Benchmark Scores: Why 82% is actually 57%

https://lessuncertain.substack.com/p/how-to-read-and-haircut-ai-benchmark
1•luhe1900•24m ago•0 comments

Vaping for Crypto

https://www.nejm.org/doi/full/10.1056/NEJMp2606580?query=featured_home
1•maxall4•24m ago•0 comments

Reddit is ending RSS support on November 13

https://www.reddit.com/r/modnews/comments/1wubgvt/continuing_our_infrastructure_updates_whats/
7•soheilpro•24m ago•0 comments

100% free coding agent funded by ads

https://freebuff.com
1•darweenist•30m ago•0 comments

Merchants, Slaves, Peculium: The History of LLCs

https://www.kjmlaw.com/merchants-slaves-peculium-history-llcs/
1•gradus_ad•31m ago•0 comments

Intercommunalism

https://en.wikipedia.org/wiki/Intercommunalism
1•mooreds•32m ago•0 comments

Open-source, community-driven infrastructure for decentralized social media

https://github.com/blacksky-algorithms
2•mooreds•32m ago•0 comments

OVOS and Mycroft: A Fork That Wasn't Meant to Be

https://blog.openvoiceos.org
1•giancarlostoro•32m ago•0 comments

All Protection, All Month

https://mailchi.mp/vennfactory/oct-a-productivity
1•mooreds•33m ago•0 comments

Senate holds a hearing on AI [video]

https://www.youtube.com/watch?v=QYsfNRCj8H8
1•smalltorch•34m ago•0 comments

The Siren Call of Silicon Leviathan: Reflections on Blowup and Aufklärungsdämmer

https://arxiv.org/abs/2609.28591
1•hkhn•34m ago•0 comments

The essay on the Navier-Stokes story that everyone should read

https://siliconreckoner.substack.com/p/the-essay-on-the-navier-stokes-story
1•hkhn•37m ago•0 comments

Codex stopped working after latest update on macOS

https://twitter.com/theadriannoel/status/2105821027108343926
2•absqueued•39m ago•1 comments

Coarse-Grained Reconfigurable Array (CGRA)

https://en.wikipedia.org/wiki/Coarse-grained_reconfigurable_array
1•peter_d_sherman•43m ago•1 comments

Dozens hurt and hundreds arrested in wave of French school protests

https://www.bbc.co.uk/news/articles/c862epne7glyo
2•FridayoLeary•51m ago•0 comments

Best Bitcoin Commercial

https://twitter.com/bramk/status/2105780416141738076
1•cft•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.