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Llambda.lisp

http://funcall.blogspot.com/2026/07/llambdalisp.html
1•lemonberry•1m ago•0 comments

Gameboy is back ( no signup)

https://gb.omniiii.com/
1•djxjxjcjcjc•3m ago•0 comments

MacKenzie Scott's Giving, in Quality-Adjusted Life Years (QALYs)

https://maxghenis.com/mackenzie-scott-qaly/
3•383toast•10m ago•0 comments

Performant C/CUDA inference engine for Qwen 3.6 35B on RTX 5090 / Blackwell

https://github.com/ambud/q36
2•ambuds•15m ago•0 comments

Claude Code Usage Global Leaderboard

https://www.claudeusage.com
2•bazarkua•16m ago•0 comments

Apple's "Thermonuclear" Response to OpenAI's Threat

https://www.wsj.com/tech/ai/apples-thermonuclear-response-to-the-openai-threat-8d51c814
2•mful•18m ago•0 comments

Tacit Knowledge

https://en.wikipedia.org/wiki/Tacit_knowledge
6•chistev•18m ago•0 comments

Show HN: Let your coding agent iterate by seeing the browser

https://github.com/puffinsoft/peek-cli
5•G3819•21m ago•0 comments

Quintile – keyboard N×M grid tiling for macOS

https://github.com/stefanopineda/quintile
2•stefanopineda•22m ago•0 comments

Universal Learning of Nonlinear Dynamics

https://arxiv.org/abs/2508.11990
2•E-Reverance•22m ago•0 comments

Collections: How to Polis, 101, Part I: Component Parts

https://acoup.blog/2023/03/10/collections-how-to-polis-101-part-i-component-parts/
2•vinnyglennon•24m ago•0 comments

Matthew Effect

https://en.wikipedia.org/wiki/Matthew_effect
3•chistev•24m ago•0 comments

Nuts News

https://news.nuts.services/
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Australia Tops Claude Usage

https://www.forbes.com.au/news/innovation/australia-is-the-worlds-biggest-claude-user-now-anthrop...
2•ishanz•39m ago•0 comments

AI's Biggest Unlock Isn't Productivity. It's Access to Expertise

https://diviv.substack.com/p/ais-biggest-unlock-isnt-productivity
4•divi_vijay•39m ago•0 comments

Mushroom trip: a mycologist's tour of the Tarkine

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2•Anon84•40m ago•0 comments

Sam Altman and Elon Musk Argue over Who's Running the Bigger Scam

https://daringfireball.net/linked/2026/07/12/altman-musk
8•MaysonL•41m ago•0 comments

Quantum Mechanics May Not Need Imaginary Numbers After All

https://scitechdaily.com/quantum-mechanics-may-not-need-imaginary-numbers-after-all/
2•westurner•43m ago•0 comments

Billion Dollar PDFs

https://billiondollarpdf.com/
5•rafaepta•43m ago•0 comments

OneDev AI: Coding Agents as Teammates in Issues, Pull Requests, and CI

https://onedev.io/blogs/ai-teammates
3•timplant•44m ago•0 comments

Student's £30 device 'translates in real time'

https://www.bbc.com/news/articles/ced47540de2o
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Circular Obstacle Pathfinding (2017)

https://redblobgames.github.io/circular-obstacle-pathfinding/
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Deployment is All You Need: The case for deployment engineering

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Micro-JavaScript: A pure Python JavaScript engine, inspired by MicroQuickJS

https://github.com/simonw/micro-javascript
2•nz•1h ago•0 comments

Rashidieh

https://en.wikipedia.org/wiki/Rashidieh
3•vinnyglennon•1h ago•0 comments

AI agent startup uses agent to lead 100M round

https://techcrunch.com/2026/07/09/an-ai-agent-startup-just-let-its-agent-run-its-100-million-fund...
4•noashavit•1h ago•0 comments

Lindsey Graham Dead at 71

https://www.economist.com/united-states/2026/07/12/lindsey-graham-represented-the-arc-of-his-party
9•andsoitis•1h ago•1 comments

Show HN: Hologram, photo management and culling built with Tauri

https://github.com/ThatXliner/Hologram
2•thatxliner•1h ago•0 comments

2028 Could Bring the Most Mind-Bendingly Expensive Apple Product of All Time

https://gizmodo.com/2028-could-bring-the-most-mind-bendingly-expensive-apple-product-of-all-time-...
5•megamike•1h ago•2 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.