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Knowing Where to Type 'Zero' (2015)

https://randomascii.wordpress.com/2015/01/19/knowing-where-to-type-zero/
1•birdculture•17s ago•0 comments

OpenAI agent swarm posted two FBI database API keys, and hit two universities

https://twitter.com/kennethrdegraff/status/2096028829890625978
1•ericzawo•2m ago•0 comments

Over 5,400 hacked sites serve ClickFix payloads stored on the blockchain

https://www.bleepingcomputer.com/news/security/over-5-400-hacked-sites-serve-clickfix-payloads-st...
1•sbulaev•2m ago•0 comments

Bringing modern USB xHCI support to Windows 98/ME/2K

https://yeokhengmeng.com/2026/08/xhci98-usb-host-driver/
1•ingve•3m ago•0 comments

GPT-6 Astra might be too powerful to understand or control

https://www.transformernews.ai/p/openai-gpt-6-astra-might-be-too-powerful-to-understand-or-control
2•rome•6m ago•1 comments

Jsonquery – A native desktop GUI for querying JSON (jq, JSONPath, JMESPath)

https://github.com/nujufas/jsonquery_gui
1•nujufas•6m ago•0 comments

Jank reimagines C++ errors and gets an official native package repo

https://jank-lang.org/blog/2026-09-04-better-and-better/
1•birdculture•8m ago•0 comments

How OpenAI Agents planned their escape

https://www.youtube.com/watch?v=EbZr33dXFF4
3•arsen3d•9m ago•0 comments

An Underrated Refactor Saved 90% Memory Usage

https://tanstack.com/blog/tanstack-table-v9-memory-performance
1•fagnerbrack•9m ago•0 comments

Saying Goodbye to My Git Server's CGit Front End

https://www.worthe-it.co.za/blog/2026-09-05-saying-goodbye-to-my-git-servers-cgit-frontend.html
1•ingve•9m ago•0 comments

LeanHTTP: HTTP Client for Lean 4

https://github.com/theoriclabs/leanhttp
1•hargup•9m ago•0 comments

Fat City, Fifty Years Later: An Interview with Leonard Gardner

https://www.theparisreview.org/blog/2019/02/06/fat-city-fifty-years-later-an-interview-with-leona...
1•georgex7•10m ago•0 comments

TreasuryDirect is introducing a new login experience using ID.me

https://treasurydirect.gov/savings-bonds/idme-sep4/
1•foresto•12m ago•0 comments

Are warnings of uncontrollable AI coming true?

https://www.theguardian.com/technology/2026/sep/05/uncontrollable-ai-artificial-general-intellige...
2•fittingopposite•13m ago•0 comments

Why Google is helping homeowners buy heat pumps

https://www.fastcompany.com/91601909/why-google-is-helping-homeowners-buy-heat-pumps
1•caseyf7•16m ago•0 comments

KingFy – an AI super app orchestrating 1,200 specialized agents

https://www.kingfy.app
1•kingfyapp•16m ago•0 comments

Show HN: Myjs An accidental pure-Python JavaScript interpreter

https://pypi.org/project/myjs/
4•byteface•17m ago•0 comments

Context Layer for Product Decisions

https://www.atisbo.dev
1•Coleg•18m ago•0 comments

Trump threatens to halt trade with top partners unless Fed cuts rates

https://www.cnbc.com/2026/09/04/trump-fed-rates-jobs-trade.html
2•ivell•18m ago•0 comments

The Inter Typeface Family

https://rsms.me/inter/
1•azhenley•19m ago•0 comments

An Accidental Blackboard

https://martinfowler.com/articles/exploring-gen-ai/an-accidental-blackboard.html
1•saikatsg•19m ago•0 comments

Mudlarking: Searching the River Thames for Historical Artifacts [video]

https://www.youtube.com/watch?v=HBuixfZC-Ao
1•kzrdude•20m ago•0 comments

DartNative: Beyond the Limits of React Native and Flutter

1•iosephmagno•21m ago•0 comments

Reading About the (2008) Financial Crisis: A 21-Book Review, by Andrew Lo (2012) [pdf]

https://www.stat.berkeley.edu/~aldous/157/Papers/lo.pdf
1•ggcr•21m ago•0 comments

C++26: Std:Hive

https://www.sandordargo.com/blog/2026/09/02/cpp26-hive
1•jandeboevrie•23m ago•0 comments

People Keep Sneaking into New York City Sewers. No One Knows Why

https://www.nytimes.com/2026/08/30/nyregion/manholes-sewers-nyc.html
2•paulpauper•24m ago•0 comments

Continuous Profiling and UI Profiling

https://sentry.io/changelog/continuous-profiling-and-ui-profiling/
1•imangsgu•25m ago•0 comments

We built our house for LAN parties

https://lanparty.house/
3•fittingopposite•25m ago•0 comments

Controlling when CSS custom property values are computed

https://jakearchibald.com/2026/css-custom-property-compute-time/
1•ingve•27m ago•0 comments

Show HN: Genetic Distance Map

https://p.migdal.pl/genetic-distance-map/
1•stared•28m 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.