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Semantic caching has a structural gap that no threshold fixes

https://github.com/KushagraKanaujia/throttle/blob/main/scripts/negation_check.py
1•JohnScheuer•5m ago•0 comments

Show HN: A proxy that makes Forgejo speak the GitHub API

https://github.com/ThatXliner/anvil
1•thatxliner•11m ago•0 comments

The AI founders who walked away from Bezos-backed Prometheus to model universe

https://www.reuters.com/business/ai-founders-who-walked-away-bezos-backed-prometheus-model-univer...
1•petethomas•15m ago•0 comments

Extension 'ms-VSCode-remote.remote-SSH' CANNOT use API proposal

https://github.com/microsoft/vscode/issues/329735
2•themostunique•18m ago•0 comments

Students prefer Gemini over ChatGPT and Claude for AI essays in blind tests

https://studyarena.com/blog/chatgpt-vs-claude-vs-gemini-college-essays-2026
1•pasharayan•19m ago•0 comments

BetterReads: Read/Import/Track/Understand

https://www.betterreads.online
1•zlu•20m ago•1 comments

Data Centers Are Driving an Alarming Gas Power Expansion in the US

https://www.wired.com/story/us-data-centers-drive-gas-power-expansion/
2•newsomix9xl•23m ago•0 comments

Neuromancer Official Teaser

https://www.youtube.com/watch?v=g79GPZSQHBk
2•wslh•25m ago•0 comments

Ask HN: What is one simple thing LLMs are insanely bad at?

7•davidest•25m ago•10 comments

Plans for nuclear-powered merchant ships must confront risks

https://www.nature.com/articles/d41586-026-02388-6
1•mmooss•25m ago•0 comments

What platform has the best AI CMO?

1•probablygrillin•29m ago•0 comments

ILSpy in the Browser

https://osenkov.com/ilspy/
1•l33t_d0nut•31m ago•0 comments

Visual Analysis of Binary Files

https://binvis.io/#/
2•vismit2000•32m ago•0 comments

Show HN: Implementation of Kimi K3 in PyTorch

https://www.youtube.com/watch?v=U6sobPCsdaY
1•prasoon21•35m ago•0 comments

Darkbloom (AI inference on idle Macs) – security audit with PRs submitted

https://gist.github.com/mudiam/1ffc898333ac3d5bdc5d7fac96d33360
2•mudiam•40m ago•0 comments

RL Environments are all you need

https://twitter.com/madiator/status/2084657077637746957
2•gmays•41m ago•0 comments

Libracy – An ad-free, minimalist book tracker without social feeds

https://play.google.com/store/apps/details?id=com.libracy.app&hl=en_US
2•cehnzzdev•46m ago•0 comments

AWS Activate Credits

https://aws.amazon.com/
4•m4sk1994•48m ago•0 comments

Scottish photographer shot portraits of Alabama gingers to find American unity

https://www.al.com/news/2026/08/scottish-photographer-shot-stunning-portraits-of-alabama-gingers-...
2•thunderbong•53m ago•1 comments

Show HN: Browser automation with no chromedriver and no Node driver

https://github.com/angeldevmobile/Orion
3•usxr1515•57m ago•0 comments

Bitcoin's $80k Test: A Renewed Rally Puts Prediction Markets on Alert

https://predx-article.fika.bar/bitcoin-s-80-000-test-a-renewed-rally-puts-prediction-mark-01M0VF5...
3•joeymabia1•58m ago•0 comments

RL Contributes to Illegible Reasoning Traces in Hard Problems

https://arxiv.org/abs/2510.27338
2•make3•1h ago•0 comments

Flipping Pages / Audrey Gu

https://audreygu.io/entry/flipping_pages
4•cwervo•1h ago•1 comments

Cursor drops mandatory arbitration and class-action waiver, sends disputes to TX

https://tostracker.app/briefing/anysphere-cursor-arbitration-removed-2026-08
2•tldrthelaw•1h ago•1 comments

Agentic Context Management: Memory and Cost as Architecture Problems

https://arxiv.org/abs/2607.21503
5•gdad•1h ago•1 comments

Curves of Constant Width

https://www.ztlawton.com/socw/curves-of-constant-width.html
4•vismit2000•1h ago•0 comments

Wikinews

https://en.wikipedia.org/wiki/Wikinews
4•wseqyrku•1h ago•3 comments

Dog Can Tell When You're Happy

https://time.com/article/2026/08/10/your-dog-can-tell-when-youre-happy/
3•gmays•1h ago•0 comments

Managed Deep Agents is now in public beta

https://www.langchain.com/blog/managed-deep-agents-is-now-in-public-beta
3•gmays•1h ago•0 comments

Think, Don't Speak

https://sspai.net/think-dont-speak/
4•firexcy•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.