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I gave a WoW dwarf a decision model and told it to reach level 5

https://levanto.ai/sagecraft
1•christopherkocu•1m ago•0 comments

Job titles of the future: Delivery drone air traffic controller

https://www.technologyreview.com/2026/10/09/1145737/job-titles-delivery-drone-air-traffic-control...
1•joozio•3m ago•0 comments

Agency in an MCP: all the tools you need to do your own SEO work

https://github.com/houtini-ai/seo-audit
1•richardbaxter•3m ago•1 comments

Will We Ever Understand Dementia?

https://www.nytimes.com/2026/10/10/science/will-we-ever-understand-dementia.html
1•gumby•5m ago•1 comments

Effect of research paper mills enough to start affecting LLM query results

https://news.err.ee/1610155906/effect-of-research-paper-mills-enough-to-start-affecting-llm-query...
1•jruohonen•6m ago•0 comments

Ctx.traits

https://ctx.company/blog/introducing-ctx-traits/
1•handfuloflight•6m ago•0 comments

Apple/macOS silently removed from official Unix registry

https://www.opengroup.org//openbrand/register/
2•john_alan•7m ago•0 comments

Deno Is Joining Cloudflare

https://blog.cloudflare.com/deno-joins-cloudflare/
1•birdculture•11m ago•0 comments

Transcribe Audio to Text Online Free

https://audioconverter.ai/
1•Lemarie•13m ago•0 comments

Talorys – A self-hosted personal AI agent on Cloudflare's free tier

https://github.com/rociiu/talorys
1•rociiu•13m ago•0 comments

Recording one app's audio on macOS without a virtual driver

https://victorantos.com/posts/macos-process-taps-tapelark/
1•victorbuilds•14m ago•0 comments

Leveraging Landlock telemetry for Linux detection engineering

https://www.sekoia.com/blog/leveraging-landlock-telemetry-for-linux-detection-engineering
1•jruohonen•17m ago•0 comments

Show HN: SqlFlow – Durable Workflows Backed by PostgreSQL or SQL Server

https://github.com/bytefish/SqlFlow
1•bytefish•17m ago•0 comments

RFC9171 Bundle Protocol: The Station Wagon of Tapes for Space? [pdf]

https://www.zefina.zakero.com/uv/rfc9171.pdf
1•daly•20m ago•1 comments

Gleam Case Exhaustiveness, as a Fan

https://oyster.pckt.blog/gleam-case-exhaustiveness-as-a-fan-fd4whyp
1•oystercafe•31m ago•0 comments

P101 – Field of Work

https://rtnf.substack.com/p/p101-field-of-work
1•altilunium•34m ago•0 comments

Does YC use AI agents to review your pitch?

1•AravPhi•38m ago•0 comments

Prompt areas are built the wrong way

1•bumicodes•40m ago•0 comments

Rogue Anthropic AI agent gave police fake tip in unsolved murder case

https://www.bbc.co.uk/news/articles/cqkg50j1yd5lo
4•vinni2•41m ago•0 comments

Agent Mode in the DuckDB CLI

https://duckdb.org/2026/10/09/agent-mode
1•theanonymousone•42m ago•1 comments

Book Review: We Present Television

https://www.astralcodexten.com/p/your-book-review-we-present-television
1•Bluestein•42m ago•0 comments

Nvidia reportedly discontinuing RTX 5090, GB202 to be reserved for RTX PRO serie

https://videocardz.com/newz/nvidia-reportedly-discontinuing-rtx-5090-gb202-gpus-to-be-reserved-fo...
2•nixass•42m ago•0 comments

Diogo Almeida, the Ateneo maths kid behind Jev's $7.5B valuation

https://ai.sulat.com/diogo-almeida-the-ateneo-maths-kid-behind-jevs-7-5b-raise-2a58cb6f1c05
1•zenoware•43m ago•0 comments

Chess and Minesweeper. 5 mines left

https://droblin.itch.io/5-mines-left
1•viach•51m ago•0 comments

Claude agents can now write their own multiagent workflows

https://platform.claude.com/docs/en/managed-agents/multiagent-orchestration
2•joshcsimmons•52m ago•0 comments

Leon Theremin

https://en.wikipedia.org/wiki/Leon_Theremin
2•eamag•53m ago•0 comments

If your team is too busy doing their 'normal job' to experiment with AI

https://ghuntley.com/replaced/
1•nnx•56m ago•0 comments

U.S. Just Bet $1B on Quantum Chip Manufacturing

https://spectrum.ieee.org/anderon-quantum-fab
1•giuliomagnifico•56m ago•0 comments

Analysis and Visualization of the Linux Kernel's Software Evolution

https://arxiv.org/abs/2610.09910
2•jruohonen•1h ago•1 comments

Xicago Mono: Classic macOS font for your terminal

https://ideasman42.codeberg.page/font-xicago-mono/
2•ideasman42•1h ago•1 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.