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Claude of Tanks

https://github.com/Kevin-Liu-01/Claude-of-Tanks
1•tiredpanda•4s ago•0 comments

Comment: Feeling Sad about AI

https://simonwillison.net/2026/Sep/11/feeling-sad-about-ai/
1•abdelhousni•1m ago•0 comments

Spanish Island Wants to Ditch Drunk British Tourists for Rich American Ones

https://www.wsj.com/world/europe/this-spanish-island-wants-to-ditch-drunk-british-tourists-for-ri...
1•RestlessMind•2m ago•0 comments

Diablo V

https://diablo5.blizzard.com/en-us
1•meerita•2m ago•0 comments

EU CYBER RESILIENCE ACT forces manufacturers to disclose exploited vulnerabilit

https://digital-strategy.ec.europa.eu/en/policies/cra-reporting
2•drungli•5m ago•0 comments

Nvidia in talks to invest in Anthropic's mega IPO

https://www.reuters.com/legal/transactional/nvidia-talks-invest-anthropics-mega-ipo-sources-say-2...
1•cwwc•5m ago•0 comments

Teaching Novice Computing and Programming in the Agentic AI Era [pdf]

https://cs.brown.edu/people/sk/Publications/Papers/Published/fkl-teach-nov-agentic-ai-era/paper.pdf
1•azhenley•7m ago•0 comments

Free Agent – Amp

https://ampcode.com/news/free-agent
2•literallyroy•8m ago•0 comments

The Future of Blender [video]

https://www.youtube.com/watch?v=pTHmtHXwVKY
1•stephdin•9m ago•0 comments

Jeff Park: Lets slow down but not before we IPO not before we dump on retail

https://twitter.com/dgt10011/status/2098815095497253093
1•donsupreme•10m ago•0 comments

Our Eukaryotic Moment

https://contraptions.venkateshrao.com/p/our-eukaryotic-moment
1•brettcvz•14m ago•0 comments

Show HN: Vibe Logic Programming Language

https://cosmos-language-lab-0819.asd-user56.chatgpt.site/
1•mccosmos•15m ago•0 comments

Domain-Specific Hallucination Detection in Large Language Models

https://arxiv.org/abs/2609.11878
1•Betelbuddy•16m ago•0 comments

The Machine That Says No: 1-Bit Music on the ZX Spectrum [video]

https://www.youtube.com/watch?v=ZFL1ad90M2k
1•ofrzeta•18m ago•0 comments

ChiPass Release 2026.09.0

https://codeberg.org/ChiPass/ChiPass/releases/tag/v2026.09.0
1•birdculture•19m ago•0 comments

atx, the true structured text format (2002)

http://www.aaronsw.com/2002/atx/intro.html
1•theanonymousone•19m ago•0 comments

Sensetime Posts First Profit Since Listing as AI Revenue Rises

https://technode.global/2026/08/27/sensetime-h1-2026-first-profit-generative-ai-revenue/
1•drungli•20m ago•0 comments

Aaron Swartz and atx: the spec writer open source lost

https://dev.profullstack.com/~anthony/blog/121-post.html
2•theanonymousone•21m ago•0 comments

Navigating the AI crisis: a humble guide for math students

https://arxiv.org/abs/2609.06889
1•Betelbuddy•27m ago•0 comments

Blasa – turn a Google Maps listing into a live multilingual website

https://blasa.shop/
1•maherzaidoun•29m ago•0 comments

Inside The Discussions at AI Companies over a Superintelligence Doomsday

https://www.nytimes.com/2026/09/12/technology/doomsday-discussions-ai-companies.html
1•AntiRush•33m ago•0 comments

Show HN: Opentracker, an open source Pivotal Tracker

https://github.com/usero-feedback/opentracker
1•willsmith72•33m ago•1 comments

When AI Safety become market capture

1•boredumb•33m ago•0 comments

Gem for Linux

https://github.com/triglav-os/gem
2•rbanffy•34m ago•0 comments

Ask HN: If AI writes the code, what matters?

1•andrewstetsenko•35m ago•0 comments

OpenAI's Sam Altman says it would be 'ill-advised' to go public in 2026

https://techcrunch.com/2026/09/12/openais-sam-altman-says-it-would-be-ill-advised-to-go-public-in...
3•humanlion87•35m ago•1 comments

The Impossibility of Airplane Safety Without Flight Instruments

https://1a3orn.com/sub/airplane-safety.html
2•yurivish•37m ago•0 comments

San Francisco Ruby Conference – Nov 10-12, 2026

https://sfruby.com/
2•juuh42dias•37m ago•1 comments

Real-SWE: Benchmarking AI models on private, real-world, enterprise codebases

https://withspecific.com/benchmarks/real-swe
2•theanonymousone•38m ago•0 comments

Block CFO on AI doomsday debate: We need to balance innovation and safeguards

https://finance.yahoo.com/technology/article/block-cfo-on-ai-doomsday-debate-we-need-to-balance-i...
1•wslh•39m 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.