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Show HN: A landing page that shows every psychological trick it uses on you

https://kickstartsidehustle.com/
1•Limehit•38s ago•0 comments

Show HN: Local in-browser privacy-redact for pdf and images using WASM

https://github.com/gitcommitshow/privacy-redact
2•witnessme•1m ago•0 comments

Next Unreal Engine release will add web platform support

https://twitter.com/UnrealEngine/status/2117603978489811012
4•astlouis44•1m ago•0 comments

Ask HN: Best local LLM options under 2500 USD?

1•999900000999•2m ago•0 comments

Show HN: A 3KB LLM inference engine in C

https://github.com/utsav1033/bytesized
1•utsav1033•5m ago•0 comments

Atomic – Describe an app in plain language, get working code you can download

https://atomicapp.dev/
1•rodneyosodo•5m ago•0 comments

How to write comparison content that doesn't age like milk

https://posthog.com/blog/comparison-content-guide
1•rbaudibert•7m ago•0 comments

Yqqyhhqhqhqh

1•najajjanaanam•7m ago•0 comments

Hahahqh

1•najajjanaanam•7m ago•0 comments

Binance says hackers used fake job interviews, AI tool to steal $6.3B

https://www.cnbc.com/2026/11/03/binance-co-ceo-teng-says-hackers-used-fake-job-interviews-to-stea...
1•pseudolus•9m ago•0 comments

AI cracks a 27-year-old pillar of computer science, OpenAI and Anthropic claim

https://www.science.org/content/article/ai-cracks-27-year-old-pillar-computer-science-openai-and-...
1•ilamont•10m ago•0 comments

The Tokenizer Tax

https://clear-languages.org/blog/the-tokenizer-tax
1•bookofjoe•10m ago•0 comments

Binance users pull $5B as crypto exchange restarts services after heist

https://www.ft.com/content/1d4dd7b2-9dee-433b-ac2a-e8022af1dd07
1•1vuio0pswjnm7•11m ago•1 comments

Anthropic Employees Cost over $100K a Month on Average

https://www.businessinsider.com/anthropic-ipo-filing-q3-personnel-costs-2026-11
2•LordAtlas•12m ago•0 comments

Qwen 3.8 27B on my laptop can interpret model weights, too

https://simonwillison.net/2026/Nov/3/qwen-can-interpret-model-weights/
4•theanonymousone•14m ago•1 comments

The 3D Printed Database

https://www.amplifypartners.com/blog-posts/the-3d-printed-database
4•ComNik•14m ago•3 comments

Show HN: Watch an LLM program a neural net's weights instead of training it

https://github.com/lusob/model-booster
1•lusob•14m ago•0 comments

Apple HomeView Ultra, drone and laundry-folding robot reportedly in development

https://www.notebookcheck.net/Apple-HomeView-Ultra-drone-and-laundry-folding-robot-reportedly-in-...
1•theanonymousone•15m ago•0 comments

I asked two models the same question: "Which is better, GPT 6.1 or Fable 5.1?"

https://twitter.com/aanthonymax/status/2117667519012229338
1•aanthonymax•16m ago•1 comments

Discord channels deleted in 11 seconds: Why we built an anti-nuke bot

https://github.com/mstan/newtype
1•Gamemaster1379•17m ago•0 comments

Show HN: AIStoreHub – 1-Click CLI to Configure MCP Servers in Cursor and Claude

https://pypi.org/project/aistorehub/
1•abhinav_mishra5•20m ago•0 comments

Proton Colleagues, Unionize Now

https://molecule.build/
4•cdrnsf•21m ago•0 comments

How reliable are confidence scores from language models?

https://www.davidhartel.com/blog/llm-confidence
2•dadadavid•22m ago•0 comments

Nvidia tells data center operators to limit business to Chinese customers

https://www.tomshardware.com/tech-industry/data-centers/nvidia-tells-data-center-operators-to-lim...
3•stevefan1999•22m ago•1 comments

Would you believe it's jank? – Jeaye Wilkerson (Clojure/Conj 2026) [video]

https://www.youtube.com/watch?v=tHgApFhevrQ
1•bwidlar•22m ago•0 comments

Does your application need local data or faster Postgres?

https://clickhouse.com/blog/does-your-application-need-local-data-or-faster-postgres
1•lio_db•22m ago•0 comments

Documenting System Uptime in Linux

https://www.redhat.com/en/blog/system-uptime-linux
1•gregsadetsky•23m ago•0 comments

Algorithms for One

https://davidgasquez.com/algorithms-for-one
1•kalendos•23m ago•0 comments

The Lost Malloc()

https://napcakes.nekoweb.org/posts/malloc/
1•birdculture•24m ago•0 comments

Understanding Org's LaTeX Previews

https://karthinks.com/software/understanding-org-latex-preview/
1•ibobev•24m 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.