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Interviewing IBM's Christian Zoellin and Christian Jacobi

https://chipsandcheese.com/p/hot-chips-2026-interviewing-ibms
1•rbanffy•55s ago•0 comments

Show HN: Highlander – realtime MiniMax FastH3 with audio at $0.02 per second

https://www.highlander.sh/
1•darrow8•3m ago•0 comments

HeyHey

https://heyhey.consti.de
1•con•5m ago•0 comments

What GLM-5.3 Flash running on Chinese hardware means

https://martinalderson.com/posts/glm-5-3-flash-chinese-hardware/
1•birdculture•6m ago•0 comments

Contronym

https://en.wikipedia.org/wiki/Contronym
2•chistev•9m ago•0 comments

Ask HN: What is the next Burning Man in NA?

1•johnnyApplePRNG•10m ago•0 comments

Leica Freedom Train

https://en.wikipedia.org/wiki/Leica_Freedom_Train
2•jacquesm•16m ago•0 comments

Show HN: I tracked 55k free proxies for a week – 1.6% were alive

https://github.com/proxmint/free-proxy-list
1•satineeee•17m ago•0 comments

You Don't Need Blackwells for Realtime Video Generation

https://darrow8.substack.com/p/you-dont-need-blackwells-for-realtime
1•darrow8•19m ago•0 comments

Russian strikes destroy 12M books ahead of Ukraine's first week back at school

https://www.bbc.com/news/articles/cly5v8qmy64o
3•robrain•19m ago•0 comments

AI Lending in Production: Credit Risk,Compliance and Control

https://geekyants.com/blog/building-ai-lending-products-for-production-credit-risk-compliance-and...
1•ahana_537•20m ago•0 comments

SimMR – Sim racing Passthrough with Apple Vision Pro [video]

https://www.youtube.com/watch?v=vwGTDZxNx5w
1•Fr0styMatt88•21m ago•0 comments

Show HN: VajraClaw – Deterministic <1µs execution guardrail for AI agents

https://github.com/Top-Celestial-Company-Ltd/DROS-VajraClaw-Hacker
1•dros_jimmy•23m ago•0 comments

AI, ex-Soviet engineers, and the Holy Grail of rocketry

https://www.fastcompany.com/91563020/aspire-rocket-design-spacex
1•rbanffy•28m ago•0 comments

Libertix installs Linux with 3 mouse clicks for Windows users

https://ekimia.fr/libertix/
1•freechelmi•28m ago•0 comments

Lambs grazing under an Oregon solar farm put on the same weight to the gram

https://spacedaily.com/b-lambs-grazing-under-an-oregon-solar-farm-had-38-percent-less-grass-in-fr...
2•ColinWright•30m ago•0 comments

Early 2000s were peak of humanity

https://lukaszkups.net/notes/early-2000s-were-peak-of-humanity/
5•lukaszkups•30m ago•1 comments

State of the Map 2026: OpenStreetMap conference

https://povesham.wordpress.com/2026/08/30/state-of-the-map-2026-openstreetmap-conference/
1•altilunium•35m ago•0 comments

Email Reactions

https://developers.google.com/workspace/gmail/reactions/format
2•totetsu•36m ago•0 comments

Ask HN: What to do when a vendor doesn't respond to security issues?

2•cudder•37m ago•0 comments

Some Simple Economics of AGI

https://arxiv.org/abs/2602.20946
1•o4c•38m ago•0 comments

Developing iOS Shortcuts and Apps

https://mythofechelon.co.uk/blog/2026/08/17/developing-ios-shortcuts-and-apps
1•tentacleuno•40m ago•0 comments

Show HN: A Pi extension to monitor your quota for OpenCode GO et CommandCode

https://github.com/Anhydrite/pi-quota-monitoring
1•anhydrite•41m ago•0 comments

The Naked Truth (2021)

https://pudding.cool/2021/03/foundation-names/
2•Tomte•42m ago•0 comments

Stolpersteine

https://www.stolpersteine.eu/en/the-art-memorial/stolpersteine
2•Tomte•42m ago•0 comments

Ghps: A Minimal GitHub Pages Simulator for Local Development

https://pypi.org/project/ghps/
1•rankorn•42m ago•0 comments

Running Modern LLMs on a 2GB GPU

https://medium.com/@therealcomtom/running-modern-llms-on-a-2gb-gpu-517512813bb0
3•comtom•43m ago•0 comments

Fully Automated Luxury Communism(2015)

https://www.theguardian.com/sustainable-business/2015/mar/18/fully-automated-luxury-communism-rob...
3•o4c•43m ago•0 comments

Show HN: Catch AI code hallucinations without asking a model

https://github.com/lovettsendit/hedgemony
1•lovettsendit•45m ago•0 comments

Connect Your AI Agent to a Remote MCP Server

https://quickchat.ai/post/connect-ai-agent-to-mcp-server
1•piotrgrudzien•45m 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.